default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHanghang Tong
Person information
- affiliation: Arizona State University
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j89]Michael C. Loui, Nigel Bosch, Anita Say Chan, Jenny L. Davis
, Rochelle Gutiérrez, Jingrui He, Karrie Karahalios, Sanmi Koyejo, Ruby Mendenhall, Madelyn Rose Sanfilippo, Hanghang Tong, Lav R. Varshney, Yang Wang:
Artificial Intelligence, Social Responsibility, and the Roles of the University. Commun. ACM 67(8): 22-25 (2024)- [j88]Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized few-shot node classification: toward an uncertainty-based solution. Knowl. Inf. Syst. 66(2): 1205-1229 (2024) - [j87]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE 112(2): 97-139 (2024) - [j86]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
ArieL: Adversarial Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(4): 82:1-82:22 (2024) - [j85]Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King:
Guest Editorial: Special Issue on Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11630-11633 (2024) - [j84]Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong, Nan Cao:
Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams. IEEE Trans. Vis. Comput. Graph. 30(1): 562-572 (2024) - [c272]Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong:
Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI 2024: 12976-12984 - [c271]Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong:
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. AAAI 2024: 16660-16668 - [c270]Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong:
Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. ACL (Findings) 2024: 839-850 - [c269]Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song:
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ACL (1) 2024: 6106-6131 - [c268]Xinyu He, Jian Kang, Ruizhong Qiu, Fei Wang, Jose Sepulveda, Hanghang Tong:
On the Sensitivity of Individual Fairness: Measures and Robust Algorithms. CIKM 2024: 829-838 - [c267]Yuchen Yan, Yongyi Hu, Qinghai Zhou, Shurang Wu, Dingsu Wang, Hanghang Tong:
Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach. CIKM 2024: 2796-2806 - [c266]Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong:
Graph Anomaly Detection with Adaptive Node Mixup. CIKM 2024: 3494-3504 - [c265]Jiejun Xu, Hanghang Tong, Andrea L. Bertozzi:
The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA3 2024). CIKM 2024: 5603-5604 - [c264]Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu:
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. EMNLP 2024: 18410-18430 - [c263]Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong:
Group Fairness via Group Consensus. FAccT 2024: 1788-1808 - [c262]Jinning Li, Ruipeng Han, Chenkai Sun, Dachun Sun, Ruijie Wang, Jingying Zeng, Yuchen Yan, Hanghang Tong, Tarek F. Abdelzaher:
Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs. ICCCN 2024: 1-9 - [c261]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
Fairgen: Towards Fair Graph Generation. ICDE 2024: 2285-2297 - [c260]Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He:
Neural Active Learning Beyond Bandits. ICLR 2024 - [c259]Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong:
Deceptive Fairness Attacks on Graphs via Meta Learning. ICLR 2024 - [c258]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong:
Class-Imbalanced Graph Learning without Class Rebalancing. ICML 2024 - [c257]Ruizhong Qiu, Hanghang Tong:
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. ICML 2024 - [c256]Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. ICML 2024 - [c255]Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong:
Graph Mixup on Approximate Gromov-Wasserstein Geodesics. ICML 2024 - [c254]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong:
AIM: Attributing, Interpreting, Mitigating Data Unfairness. KDD 2024: 2014-2025 - [c253]Jun Wu, Jingrui He, Hanghang Tong:
Distributional Network of Networks for Modeling Data Heterogeneity. KDD 2024: 3379-3390 - [c252]Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He:
Heterogeneous Contrastive Learning for Foundation Models and Beyond. KDD 2024: 6666-6676 - [c251]Chuxuan Hu, Qinghai Zhou, Hanghang Tong:
Genius: Subteam Replacement with Clustering-based Graph Neural Networks. SDM 2024: 10-18 - [c250]Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong:
Masked Graph Transformer for Large-Scale Recommendation. SIGIR 2024: 2502-2506 - [c249]Blaine Hill, Lihui Liu, Hanghang Tong:
Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. WSDM 2024: 1066-1069 - [c248]Lihui Liu, Zihao Wang, Jiaxin Bai, Yangqiu Song, Hanghang Tong:
New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends. WWW (Companion Volume) 2024: 1294-1297 - [c247]Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong:
PaCEr: Network Embedding From Positional to Structural. WWW 2024: 2485-2496 - [c246]Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong:
Ensuring User-side Fairness in Dynamic Recommender Systems. WWW 2024: 3667-3678 - [i104]Weilin Cong, Jian Kang, Hanghang Tong, Mehrdad Mahdavi:
On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method. CoRR abs/2402.16387 (2024) - [i103]Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song:
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? CoRR abs/2402.18272 (2024) - [i102]Weizhi Fei, Zihao Wang, Hang Yin, Yang Duan, Hanghang Tong, Yangqiu Song:
Soft Reasoning on Uncertain Knowledge Graphs. CoRR abs/2403.01508 (2024) - [i101]Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He:
Heterogeneous Contrastive Learning for Foundation Models and Beyond. CoRR abs/2404.00225 (2024) - [i100]Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong:
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. CoRR abs/2404.04264 (2024) - [i99]Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He:
Neural Active Learning Beyond Bandits. CoRR abs/2404.12522 (2024) - [i98]Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Kang Liu, Jun Zhao:
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. CoRR abs/2404.14741 (2024) - [i97]Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong:
Masked Graph Transformer for Large-Scale Recommendation. CoRR abs/2405.04028 (2024) - [i96]Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong:
Discrete-state Continuous-time Diffusion for Graph Generation. CoRR abs/2405.11416 (2024) - [i95]Ruizhong Qiu, Hanghang Tong:
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. CoRR abs/2405.16805 (2024) - [i94]Ruizhong Qiu, Weiliang Will Zeng, Hanghang Tong, James Ezick, Christopher Lott:
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark. CoRR abs/2406.06647 (2024) - [i93]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong:
AIM: Attributing, Interpreting, Mitigating Data Unfairness. CoRR abs/2406.08819 (2024) - [i92]Xiaodong Yang, Huiyuan Chen, Yuchen Yan, Yuxin Tang, Yuying Zhao, Eric Xu, Yiwei Cai, Hanghang Tong:
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering. CoRR abs/2406.16170 (2024) - [i91]Zexing Xu, Linjun Zhang, Sitan Yang, S. Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han:
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. CoRR abs/2406.16221 (2024) - [i90]Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He:
Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection. CoRR abs/2408.04254 (2024) - [i89]Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang:
Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR abs/2409.09957 (2024) - [i88]Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong:
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting. CoRR abs/2410.02195 (2024) - [i87]Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong:
Language Models are Graph Learners. CoRR abs/2410.02296 (2024) - [i86]Lingjie Chen, Ruizhong Qiu, Siyu Yuan, Zhining Liu, Tianxin Wei, Hyunsik Yoo, Zhichen Zeng, Deqing Yang, Hanghang Tong:
WAPITI: A Watermark for Finetuned Open-Source LLMs. CoRR abs/2410.06467 (2024) - [i85]Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He:
AdaRC: Mitigating Graph Structure Shifts during Test-Time. CoRR abs/2410.06976 (2024) - 2023
- [j83]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65(2): 613-640 (2023) - [j82]Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He:
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. SIGKDD Explor. 25(1): 54-72 (2023) - [j81]Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, Zhiguang Shan:
Mobility Inference on Long-Tailed Sparse Trajectory. ACM Trans. Intell. Syst. Technol. 14(1): 18:1-18:26 (2023) - [j80]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 35(1): 96-107 (2023) - [j79]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2430-2444 (2023) - [j78]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5915-5934 (2023) - [j77]Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li:
BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network. IEEE Trans. Knowl. Data Eng. 35(11): 11112-11125 (2023) - [j76]Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong:
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation. ACM Trans. Inf. Syst. 41(3): 59:1-59:28 (2023) - [j75]Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong:
On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Trans. Inf. Syst. 41(4): 87:1-87:28 (2023) - [c245]Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. ACL (Findings) 2023: 2440-2457 - [c244]Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang:
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. ALT 2023: 1074-1100 - [c243]Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong:
Learning Node Abnormality with Weak Supervision. CIKM 2023: 3584-3594 - [c242]Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong:
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CIKM 2023: 3860-3864 - [c241]Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi:
Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR 2023 - [c240]Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji:
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. ICLR 2023 - [c239]Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong:
Generative Graph Dictionary Learning. ICML 2023: 40749-40769 - [c238]Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
Reconstructing Graph Diffusion History from a Single Snapshot. KDD 2023: 1978-1988 - [c237]Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong:
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. KDD 2023: 2256-2268 - [c236]Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD 2023: 2850-2861 - [c235]Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong:
Node Classification Beyond Homophily: Towards a General Solution. KDD 2023: 2862-2873 - [c234]Lihui Liu, Hanghang Tong:
Knowledge Graph Reasoning and Its Applications. KDD 2023: 5813-5814 - [c233]Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong:
BeMap: Balanced Message Passing for Fair Graph Neural Network. LoG 2023: 37 - [c232]Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong:
From Trainable Negative Depth to Edge Heterophily in Graphs. NeurIPS 2023 - [c231]Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong:
Reconciling Competing Sampling Strategies of Network Embedding. NeurIPS 2023 - [c230]Si Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong:
Representation Learning on Dynamic Network of Networks. SDM 2023: 298-306 - [c229]Shengyu Feng, Hanghang Tong:
Concept Discovery for Fast Adaptation. SDM 2023: 577-585 - [c228]Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong:
MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. WSDM 2023: 517-525 - [c227]Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He:
Natural and Artificial Dynamics in GNNs: A Tutorial. WSDM 2023: 1252-1255 - [c226]Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong:
PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. WWW 2023: 372-382 - [c225]Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim:
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. WWW 2023: 1572-1583 - [c224]Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Knowledge Graph Question Answering with Ambiguous Query. WWW 2023: 2477-2486 - [i84]Shengyu Feng, Hanghang Tong:
Concept Discovery for Fast Adapatation. CoRR abs/2301.07850 (2023) - [i83]Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong:
STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR abs/2302.05428 (2023) - [i82]Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi:
Do We Really Need Complicated Model Architectures For Temporal Networks? CoRR abs/2302.11636 (2023) - [i81]Yun-Yong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim:
KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction. CoRR abs/2302.12126 (2023) - [i80]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
FairGen: Towards Fair Graph Generation. CoRR abs/2303.17743 (2023) - [i79]Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong:
Neural Multi-network Diffusion towards Social Recommendation. CoRR abs/2304.04994 (2023) - [i78]Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji:
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. CoRR abs/2305.12738 (2023) - [i77]Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J. Margenot, Hanghang Tong:
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. CoRR abs/2305.18612 (2023) - [i76]Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
Reconstructing Graph Diffusion History from a Single Snapshot. CoRR abs/2306.00488 (2023) - [i75]Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong:
BeMap: Balanced Message Passing for Fair Graph Neural Network. CoRR abs/2306.04107 (2023) - [i74]Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. CoRR abs/2306.07512 (2023) - [i73]Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He:
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR abs/2307.04338 (2023) - [i72]Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong, Nan Cao:
Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagrams. CoRR abs/2308.06441 (2023) - [i71]Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong:
Topological Augmentation for Class-Imbalanced Node Classification. CoRR abs/2308.14181 (2023) - [i70]Hyunsik Yoo, Zhichen Zeng, Jian Kang, Zhining Liu, David Zhou, Fei Wang, Eunice Chan, Hanghang Tong:
Ensuring User-side Fairness in Dynamic Recommender Systems. CoRR abs/2308.15651 (2023) - [i69]Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim:
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning. CoRR abs/2309.05798 (2023) - [i68]Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong:
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation. CoRR abs/2309.13384 (2023) - [i67]Zihao Wang, Yongqiang Chen, Yang Duan, Weijiang Li, Bo Han, James Cheng, Hanghang Tong:
Towards out-of-distribution generalizable predictions of chemical kinetics properties. CoRR abs/2310.03152 (2023) - [i66]Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong:
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. CoRR abs/2310.04470 (2023) - [i65]Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong:
Deceptive Fairness Attacks on Graphs via Meta Learning. CoRR abs/2310.15653 (2023) - [i64]Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li:
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. CoRR abs/2311.02757 (2023) - [i63]Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong:
Invariant Graph Transformer. CoRR abs/2312.07859 (2023) - [i62]Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong:
Conversational Question Answering with Reformulations over Knowledge Graph. CoRR abs/2312.17269 (2023) - 2022
- [j74]Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong:
Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. IEEE Data Eng. Bull. 45(4): 19-38 (2022) - [j73]Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li:
Enhancing bug localization with bug report decomposition and code hierarchical network. Knowl. Based Syst. 248: 108741 (2022) - [j72]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. SIGKDD Explor. 24(2): 61-77 (2022) - [j71]Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao:
Visual Analytics of Anomalous User Behaviors: A Survey. IEEE Trans. Big Data 8(2): 377-396 (2022) - [j70]Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong:
SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2605-2612 (2022) - [j69]Yu Wang, Hanghang Tong, Ziye Zhu, Yun Li:
Nested Named Entity Recognition: A Survey. ACM Trans. Knowl. Discov. Data 16(6): 108:1-108:29 (2022) - [j68]Chen Lin, Dugang Liu, Hanghang Tong, Yanghua Xiao:
Spiral of Silence and Its Application in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(6): 2934-2947 (2022) - [j67]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Auditing Network Embedding: An Edge Influence Based Approach. IEEE Trans. Knowl. Data Eng. 34(11): 5211-5224 (2022) - [j66]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. 40(2): 24:1-24:28 (2022) - [j65]Tiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, Ross Maciejewski:
FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models. IEEE Trans. Vis. Comput. Graph. 28(1): 368-377 (2022) - [c223]Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying:
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. AAAI 2022: 9118-9126 - [c222]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. AKBC 2022 - [c221]Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong:
iFiG: Individually Fair Multi-view Graph Clustering. IEEE Big Data 2022: 329-338 - [c220]Weikai Xu, Lihui Liu, Hanghang Tong:
ABM: Attention-based Message Passing Network for Knowledge Graph Completion. IEEE Big Data 2022: 339-348 - [c219]Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Self-supervised Hypergraph Representation Learning. IEEE Big Data 2022: 505-514 - [c218]Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He:
Adaptive Knowledge Transfer on Evolving Domains. IEEE Big Data 2022: 1389-1394 - [c217]Wei Du, Xintao Wu, Hanghang Tong:
Fair Regression under Sample Selection Bias. IEEE Big Data 2022: 1435-1444 - [c216]Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
InfoFair: Information-Theoretic Intersectional Fairness. IEEE Big Data 2022: 1455-1464 - [c215]Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong:
Comparative Reasoning for Knowledge Graph Fact Checking. IEEE Big Data 2022: 2309-2312 - [c214]Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong:
A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. IEEE Big Data 2022: 2932-2939 - [c213]Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. CIKM 2022: 894-904 - [c212]Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong:
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. CIKM 2022: 2341-2351 - [c211]Zhenning Zhang, Boxin Du, Hanghang Tong:
SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. CIKM 2022: 4712-4716 - [c210]Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. CIKM 2022: 4848-4852 - [c209]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
An Invisible Black-Box Backdoor Attack Through Frequency Domain. ECCV (13) 2022: 396-413 - [c208]Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized Few-Shot Node Classification. ICDM 2022: 608-617 - [c207]Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong:
Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. ICDM 2022: 1329-1334 - [c206]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong:
Combining Code Context and Fine-grained Code Difference for Commit Message Generation. Internetware 2022: 242-251 - [c205]Jian Kang, Qinghai Zhou, Hanghang Tong:
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. KDD 2022: 742-752 - [c204]Haoran Li, Hanghang Tong, Yang Weng:
Domain Adaptation in Physical Systems via Graph Kernel. KDD 2022: 868-876 - [c203]Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong:
Fair Representation Learning: An Alternative to Mutual Information. KDD 2022: 1088-1097 - [c202]Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong:
Joint Knowledge Graph Completion and Question Answering. KDD 2022: 1098-1108 - [c201]Jian Kang, Hanghang Tong:
Algorithmic Fairness on Graphs: Methods and Trends. KDD 2022: 4798-4799 - [c200]Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. NeurIPS 2022 - [c199]Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. NeurIPS 2022 - [c198]Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He:
Deep Active Learning by Leveraging Training Dynamics. NeurIPS 2022 - [c197]Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong:
A Deep Learning Dataloader with Shared Data Preparation. NeurIPS 2022 - [c196]Shweta Jain, Hanghang Tong:
YACC: A Framework Generalizing TuránShadow for Counting Large Cliques. SDM 2022: 684-692 - [c195]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. SIGIR 2022: 1728-1738 - [c194]Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong:
Structure Meets Sequences: Predicting Network of Co-evolving Sequences. WSDM 2022: 1090-1098 - [c193]Zhe Xu, Boxin Du, Hanghang Tong:
Graph Sanitation with Application to Node Classification. WWW 2022: 1136-1147 - [c192]Bolian Li, Baoyu Jing, Hanghang Tong:
Graph Communal Contrastive Learning. WWW 2022: 1203-1213 - [c191]Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. WWW 2022: 1214-1225 - [c190]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. WWW 2022: 1362-1371 - [i61]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. CoRR abs/2202.06491 (2022) - [i60]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. CoRR abs/2202.08235 (2022) - [i59]Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong:
How to optimize an academic team when the outlier member is leaving? CoRR abs/2202.11608 (2022) - [i58]Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. CoRR abs/2202.13547 (2022) - [i57]Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. CoRR abs/2203.04928 (2022) - [i56]Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong:
Detecting Topology Attacks against Graph Neural Networks. CoRR abs/2204.10072 (2022) - [i55]Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong:
Learning Optimal Propagation for Graph Neural Networks. CoRR abs/2205.02998 (2022) - [i54]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR abs/2205.07424 (2022) - [i53]Zhenning Zhang, Boxin Du, Hanghang Tong:
SUGER: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. CoRR abs/2205.11231 (2022) - [i52]Wenhao Ding, Qing He, Hanghang Tong, Ping Wang:
PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics. CoRR abs/2205.12262 (2022) - [i51]Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong:
COIN: Co-Cluster Infomax for Bipartite Graphs. CoRR abs/2206.00006 (2022) - [i50]Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. CoRR abs/2206.00257 (2022) - [i49]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. CoRR abs/2206.02921 (2022) - [i48]Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong:
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CoRR abs/2206.09477 (2022) - [i47]Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski:
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. CoRR abs/2207.00048 (2022) - [i46]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
ARIEL: Adversarial Graph Contrastive Learning. CoRR abs/2208.06956 (2022) - [i45]Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong:
Retrieval Based Time Series Forecasting. CoRR abs/2209.13525 (2022) - [i44]Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang:
Solving practical multi-body dynamics problems using a single neural operator. CoRR abs/2210.00222 (2022) - [i43]Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. CoRR abs/2210.00423 (2022) - [i42]Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang:
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. CoRR abs/2210.01376 (2022) - [i41]Jian Kang, Qinghai Zhou, Hanghang Tong:
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. CoRR abs/2210.05959 (2022) - [i40]Chuxuan Hu, Qinghai Zhou, Hanghang Tong:
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network. CoRR abs/2211.04100 (2022) - 2021
- [j64]Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang, Hanghang Tong:
A deep multimodal model for bug localization. Data Min. Knowl. Discov. 35(4): 1369-1392 (2021) - [j63]Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong:
How to Optimize an Academic Team When the Outlier Member is Leaving? IEEE Intell. Syst. 36(3): 23-30 (2021) - [j62]Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong:
Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. 63(1): 105-124 (2021) - [j61]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. 3(2): 656-675 (2021) - [j60]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. ACM Trans. Knowl. Discov. Data 15(2): 18:1-18:26 (2021) - [j59]Wei Wang, Feng Xia, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison:
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. ACM Trans. Knowl. Discov. Data 15(3): 40:1-40:19 (2021) - [j58]Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong:
Fast Connectivity Minimization on Large-Scale Networks. ACM Trans. Knowl. Discov. Data 15(3): 53:1-53:25 (2021) - [j57]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1763-1777 (2021) - [j56]Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong:
Graph Ranking Auditing: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 33(10): 3366-3380 (2021) - [j55]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27(2): 1459-1469 (2021) - [c189]Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong:
Dynamic Knowledge Graph Alignment. AAAI 2021: 4564-4572 - [c188]Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. IEEE BigData 2021: 350-358 - [c187]Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong:
DESTINE: Dense Subgraph Detection on Multi-Layered Networks. CIKM 2021: 3558-3562 - [c186]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Evaluating Graph Vulnerability and Robustness using TIGER. CIKM 2021: 4495-4503 - [c185]Jian Kang, Hanghang Tong:
Fair Graph Mining. CIKM 2021: 4849-4852 - [c184]Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong:
Multiplex Graph Neural Network for Extractive Text Summarization. EMNLP (1) 2021: 133-139 - [c183]Zixuan Zhang, Hongwei Wang, Han Zhao, Hanghang Tong, Heng Ji:
EventKE: Event-Enhanced Knowledge Graph Embedding. EMNLP (Findings) 2021: 1389-1400 - [c182]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM 2021: 837-846 - [c181]Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li:
Individual Fairness for Graph Neural Networks: A Ranking based Approach. KDD 2021: 300-310 - [c180]Boxin Du, Lihui Liu, Hanghang Tong:
Sylvester Tensor Equation for Multi-Way Association. KDD 2021: 311-321 - [c179]Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong:
Neural-Answering Logical Queries on Knowledge Graphs. KDD 2021: 1087-1097 - [c178]Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo:
Balancing Consistency and Disparity in Network Alignment. KDD 2021: 2212-2222 - [c177]Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. KDD 2021: 3308-3318 - [c176]Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong:
New Frontiers of Multi-Network Mining: Recent Developments and Future Trend. KDD 2021: 4038-4039 - [c175]Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT 2021: 62-73 - [c174]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. SDM 2021: 181-189 - [c173]Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Unsupervised Attributed Network Embedding via Cross Fusion. WSDM 2021: 797-805 - [c172]Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. WWW 2021: 2414-2424 - [c171]Baoyu Jing, Hanghang Tong, Yada Zhu:
Network of Tensor Time Series. WWW 2021: 2425-2437 - [c170]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. WWW 2021: 2448-2456 - [c169]Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong:
Attent: Active Attributed Network Alignment. WWW 2021: 3896-3906 - [c168]Yuchen Yan, Si Zhang, Hanghang Tong:
BRIGHT: A Bridging Algorithm for Network Alignment. WWW 2021: 3907-3917 - [e4]Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong:
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM 2021, ISBN 978-1-4503-8446-9 [contents] - [i39]Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. CoRR abs/2101.11070 (2021) - [i38]Baoyu Jing, Hanghang Tong, Yada Zhu:
Network of Tensor Time Series. CoRR abs/2102.07736 (2021) - [i37]Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. CoRR abs/2102.07810 (2021) - [i36]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. CoRR abs/2102.11165 (2021) - [i35]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. CoRR abs/2105.00419 (2021) - [i34]Zhe Xu, Hanghang Tong:
Graph Sanitation with Application to Node Classification. CoRR abs/2105.09384 (2021) - [i33]Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Hypergraph Pre-training with Graph Neural Networks. CoRR abs/2105.10862 (2021) - [i32]Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
MultiFair: Multi-Group Fairness in Machine Learning. CoRR abs/2105.11069 (2021) - [i31]Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong:
Multiplex Graph Neural Network for Extractive Text Summarization. CoRR abs/2108.12870 (2021) - [i30]Baoyu Jing, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs. CoRR abs/2109.03560 (2021) - [i29]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. CoRR abs/2110.00210 (2021) - [i28]Wei Du, Xintao Wu, Hanghang Tong:
Fair Regression under Sample Selection Bias. CoRR abs/2110.04372 (2021) - [i27]Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He:
Deep Active Learning by Leveraging Training Dynamics. CoRR abs/2110.08611 (2021) - [i26]Bolian Li, Baoyu Jing, Hanghang Tong:
Graph Communal Contrastive Learning. CoRR abs/2110.14863 (2021) - [i25]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
Backdoor Attack through Frequency Domain. CoRR abs/2111.10991 (2021) - 2020
- [j54]Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong:
Data-Driven Computational Social Science: A Survey. Big Data Res. 21: 100145 (2020) - [j53]Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, Jian Lu:
Enhancing supervised bug localization with metadata and stack-trace. Knowl. Inf. Syst. 62(6): 2461-2484 (2020) - [j52]Yu Wang, Yun Li, Ziye Zhu, Hanghang Tong, Yue Huang:
Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2476-2488 (2020) - [j51]Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data 14(4): 38:1-38:26 (2020) - [j50]Zhen Chen, Hanghang Tong, Lei Ying:
Inferring Full Diffusion History from Partial Timestamps. IEEE Trans. Knowl. Data Eng. 32(7): 1378-1392 (2020) - [j49]Yucheng Huang, Lei Shi, Yue Su, Yifan Hu, Hanghang Tong, Chaoli Wang, Tong Yang, Deyun Wang, Shuo Liang:
Eiffel: Evolutionary Flow Map for Influence Graph Visualization. IEEE Trans. Vis. Comput. Graph. 26(10): 2944-2960 (2020) - [j48]Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Chaoli Wang, Chuang Lin, Weihong Qian:
OnionGraph: Hierarchical topology+attribute multivariate network visualization. Vis. Informatics 4(1): 43-57 (2020) - [c167]Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong:
Ranking on Network of Heterogeneous Information Networks. IEEE BigData 2020: 848-857 - [c166]Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong:
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData 2020: 1634-1643 - [c165]Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu:
Bringing Order to Network Embedding: A Relative Ranking based Approach. CIKM 2020: 1585-1594 - [c164]Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He:
A View-Adversarial Framework for Multi-View Network Embedding. CIKM 2020: 2025-2028 - [c163]Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong:
Few-shot Insider Threat Detection. CIKM 2020: 2289-2292 - [c162]Si Zhang, Hanghang Tong:
Network Alignment: Recent Advances and Future Directions. CIKM 2020: 3521-3522 - [c161]Yu Wang, Yun Li, Hanghang Tong, Ziye Zhu:
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. EMNLP (1) 2020: 6027-6036 - [c160]Haoran Li, Yang Weng, Hanghang Tong:
Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. ICDM 2020: 1088-1093 - [c159]Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang:
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. IJCAI 2020: 3565-3571 - [c158]Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong:
InFoRM: Individual Fairness on Graph Mining. KDD 2020: 379-389 - [c157]Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu:
NetTrans: Neural Cross-Network Transformation. KDD 2020: 986-996 - [c156]Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong:
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering. NeurIPS 2020 - [i24]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Node Immunization with Non-backtracking Eigenvalues. CoRR abs/2002.12309 (2020) - [i23]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. CoRR abs/2008.07097 (2020) - [i22]Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong:
Data-driven Computational Social Science: A Survey. CoRR abs/2008.12372 (2020) - [i21]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. CoRR abs/2009.07227 (2020) - [i20]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. CoRR abs/2010.05057 (2020) - [i19]Lihui Liu, Boxin Du, Heng Ji, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. CoRR abs/2011.03189 (2020)
2010 – 2019
- 2019
- [j47]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
A Brief Review of Network Embedding. Big Data Min. Anal. 2(1): 35-47 (2019) - [j46]Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski:
Location Prediction for Tweets. Frontiers Big Data 2: 5 (2019) - [j45]Si Zhang, Hanghang Tong:
Attributed Network Alignment: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. 31(9): 1680-1692 (2019) - [j44]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-regularized one-class collaborative filtering with implicit feedback. World Wide Web 22(3): 1099-1129 (2019) - [c155]Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu:
An Integral Tag Recommendation Model for Textual Content. AAAI 2019: 5109-5116 - [c154]Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu:
Hashtag Recommendation for Photo Sharing Services. AAAI 2019: 5805-5812 - [c153]Hairi, Hanghang Tong, Lei Ying:
NetDyna: Mining Networked Coevolving Time Series with Missing Values. IEEE BigData 2019: 503-512 - [c152]Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong:
G-Finder: Approximate Attributed Subgraph Matching. IEEE BigData 2019: 513-522 - [c151]Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski:
ORIGIN: Non-Rigid Network Alignment. IEEE BigData 2019: 998-1007 - [c150]Qinghai Zhou, Liangyue Li, Hanghang Tong:
Towards Real Time Team Optimization. IEEE BigData 2019: 1008-1017 - [c149]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Discerning Edge Influence for Network Embedding. CIKM 2019: 429-438 - [c148]Boxin Du, Hanghang Tong:
MrMine: Multi-resolution Multi-network Embedding. CIKM 2019: 479-488 - [c147]Jian Kang, Hanghang Tong:
N2N: Network Derivative Mining. CIKM 2019: 861-870 - [c146]Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu:
Robust Embedded Deep K-means Clustering. CIKM 2019: 1181-1190 - [c145]Rui Zhang, Hanghang Tong, Yifan Hu:
Adaptive Feature Redundancy Minimization. CIKM 2019: 2417-2420 - [c144]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
ADMIRING: Adversarial Multi-network Mining. ICDM 2019: 1522-1527 - [c143]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu:
Commit Message Generation for Source Code Changes. IJCAI 2019: 3975-3981 - [c142]Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He:
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. IJCAI 2019: 4078-4084 - [c141]Pei Yang, Qi Tan, Hanghang Tong, Jingrui He:
Task-Adversarial Co-Generative Nets. KDD 2019: 1596-1604 - [c140]Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. NeurIPS 2019: 3399-3409 - [c139]Rui Zhang, Hanghang Tong:
Robust Principal Component Analysis with Adaptive Neighbors. NeurIPS 2019: 6959-6967 - [c138]Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong:
Spiral of Silence in Recommender Systems. WSDM 2019: 222-230 - [c137]Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad:
Multilevel Network Alignment. WWW 2019: 2344-2354 - [e3]Andrea Tagarelli, Hanghang Tong:
Computational Data and Social Networks - 8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18-20, 2019, Proceedings. Lecture Notes in Computer Science 11917, Springer 2019, ISBN 978-3-030-34979-0 [contents] - [i18]Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR abs/1905.05861 (2019) - [i17]Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao:
Visual Analytics of Anomalous User Behaviors: A Survey. CoRR abs/1905.06720 (2019) - [i16]Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu:
EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data. CoRR abs/1908.00181 (2019) - [i15]Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. CoRR abs/1910.12586 (2019) - 2018
- [b1]Yuan Yao, Xing Su, Hanghang Tong:
Mobile Data Mining. Springer Briefs in Computer Science, Springer 2018, ISBN 978-3-030-02100-9, pp. 1-53 - [j43]Yong Wu, Shengqu Xi, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu:
Guiding supervised topic modeling for content based tag recommendation. Neurocomputing 314: 479-489 (2018) - [j42]Yong Wang, Conglei Shi, Liangyue Li, Hanghang Tong, Huamin Qu:
Visualizing Research Impact through Citation Data. ACM Trans. Interact. Intell. Syst. 8(1): 5:1-5:24 (2018) - [j41]Lei Shi, Hanghang Tong, Madelaine Daianu, Feng Tian, Paul M. Thompson:
Visual Analysis of Brain Networks Using Sparse Regression Models. ACM Trans. Knowl. Discov. Data 12(1): 5:1-5:30 (2018) - [c136]Jian Kang, Meijia Wang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong:
AURORA: Auditing PageRank on Large Graphs. IEEE BigData 2018: 713-722 - [c135]Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng (Polo) Chau, Hanghang Tong:
Local Partition in Rich Graphs. IEEE BigData 2018: 1001-1008 - [c134]Zhen Chen, Hanghang Tong, Lei Ying:
Realtime Robustification of Interdependent Networks under Cascading Attacks. IEEE BigData 2018: 1347-1356 - [c133]Liangyue Li, Hanghang Tong, Huan Liu:
Towards Explainable Networked Prediction. CIKM 2018: 1819-1822 - [c132]Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong:
X-Rank: Explainable Ranking in Complex Multi-Layered Networks. CIKM 2018: 1959-1962 - [c131]Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski:
Graph Convolutional Networks: Algorithms, Applications and Open Challenges. CSoNet 2018: 79-91 - [c130]Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu:
Bug Localization via Supervised Topic Modeling. ICDM 2018: 607-616 - [c129]Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong:
Network Connectivity Optimization: Fundamental Limits and Effective Algorithms. KDD 2018: 1167-1176 - [c128]Boxin Du, Hanghang Tong:
FASTEN: Fast Sylvester Equation Solver for Graph Mining. KDD 2018: 1339-1347 - [c127]Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu:
Team Expansion in Collaborative Environments. PAKDD (3) 2018: 713-725 - [c126]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
Extra: explaining team recommendation in networks. RecSys 2018: 492-493 - [c125]Jundong Li, Chen Chen, Hanghang Tong, Huan Liu:
Multi-Layered Network Embedding. SDM 2018: 684-692 - [c124]Liangyue Li, Hanghang Tong:
Network Science of Teams: Characterization, Prediction, and Optimization. WSDM 2018: 783-784 - [c123]Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss:
GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics. WSDM 2018: 803 - [e2]Hanghang Tong, Zhenhui Jessie Li, Feida Zhu, Jeffrey Yu:
2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018. IEEE 2018, ISBN 978-1-5386-9288-2 [contents] - [r3]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i14]Jian Kang, Hanghang Tong, Yinglong Xia, Wei Fan:
AURORA: Auditing PageRank on Large Graphs. CoRR abs/1803.05068 (2018) - [i13]Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia:
Local Partition in Rich Graphs. CoRR abs/1803.05084 (2018) - [i12]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
EXTRA: Explaining Team Recommendation in Networks. CoRR abs/1809.08511 (2018) - 2017
- [j40]Jie Tang, Hanghang Tong, Michalis Vazirgiannis:
Special focus on natural language processing and social computing. Sci. China Inf. Sci. 60(11): 110100:1-110100:2 (2017) - [j39]Chen Chen, Hanghang Tong:
On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms. Stat. Anal. Data Min. 10(2): 121-135 (2017) - [j38]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
On the Measurement and Prediction of Web Content Utility: A Review. SIGKDD Explor. 19(2): 1-12 (2017) - [j37]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 3(1): 2 (2017) - [j36]Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He:
Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective. ACM Trans. Knowl. Discov. Data 11(4): 42:1-42:26 (2017) - [j35]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. 29(3): 613-626 (2017) - [j34]Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu:
RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem. IEEE Trans. Knowl. Data Eng. 29(6): 1296-1309 (2017) - [j33]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Scalable Algorithms for CQA Post Voting Prediction. IEEE Trans. Knowl. Data Eng. 29(8): 1723-1736 (2017) - [j32]Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong:
Towards Optimal Connectivity on Multi-Layered Networks. IEEE Trans. Knowl. Data Eng. 29(10): 2332-2346 (2017) - [j31]Yuan Yao, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, Jian Lu:
Version-Aware Rating Prediction for Mobile App Recommendation. ACM Trans. Inf. Syst. 35(4): 38:1-38:33 (2017) - [j30]Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, Marie-Francine Moens:
Fast and Flexible Top-k Similarity Search on Large Networks. ACM Trans. Inf. Syst. 36(2): 13:1-13:30 (2017) - [j29]Xinsong Yang, Lei Shi, Madelaine Daianu, Hanghang Tong, Qingsong Liu, Paul M. Thompson:
Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation. IEEE Trans. Vis. Comput. Graph. 23(1): 181-190 (2017) - [c122]Qiao Liu, Chen Chen, Annie Gao, Hanghang Tong, Lei Xie:
VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease. BIBM 2017: 2177-2182 - [c121]Xing Su, Yuan Yao, Qing He, Jie Lu, Hanghang Tong:
Personalized travel mode detection with smartphone sensors. IEEE BigData 2017: 1341-1348 - [c120]Fan Du, Nan Cao, Yu-Ru Lin, Panpan Xu, Hanghang Tong:
iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration. CHI 2017: 2916-2927 - [c119]Chenhao Xie, Lihan Chen, Jiaqing Liang, Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
Automatic Navbox Generation by Interpretable Clustering over Linked Entities. CIKM 2017: 1857-1865 - [c118]Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia:
Rapid Analysis of Network Connectivity. CIKM 2017: 2463-2466 - [c117]Hanghang Tong:
Inside the Atoms: Mining a Network of Networks and Beyond. ICDM Workshops 2017: 983 - [c116]Liangyue Li, Hanghang Tong:
Uncovering Teamwork in Networks - Prediction, Optimization and Explanation. ICDM Workshops 2017: 1132-1133 - [c115]Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
iNEAT: Incomplete Network Alignment. ICDM 2017: 1189-1194 - [c114]Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler:
Is the Whole Greater Than the Sum of Its Parts? KDD 2017: 295-304 - [c113]Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu:
HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. KDD 2017: 525-534 - [c112]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
A Local Algorithm for Structure-Preserving Graph Cut. KDD 2017: 655-664 - [c111]Boxin Du, Si Zhang, Nan Cao, Hanghang Tong:
FIRST: Fast Interactive Attributed Subgraph Matching. KDD 2017: 1447-1456 - [c110]Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He:
User-guided Cross-domain Sentiment Classification. SDM 2017: 471-479 - [c109]Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong:
HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. SDM 2017: 570-578 - [c108]Robert S. Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau:
Visual Graph Query Construction and Refinement. SIGMOD Conference 2017: 1587-1590 - [c107]Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong:
Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. WWW (Companion Volume) 2017: 303-310 - [c106]Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen:
NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) 2017: 505-513 - 2016
- [j28]Jian Pei, Guoliang Li, Hanghang Tong:
Preface. Big Data Res. 5: 1 (2016) - [j27]Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang:
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinform. 17: 453:1-453:13 (2016) - [j26]Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie:
Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing. PLoS Comput. Biol. 12(10) (2016) - [j25]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 2(1): 1-2 (2016) - [j24]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued). IEEE Trans. Big Data 2(2): 100 (2016) - [j23]Xing Su, Hernan Caceres, Hanghang Tong, Qing He:
Online Travel Mode Identification Using Smartphones With Battery Saving Considerations. IEEE Trans. Intell. Transp. Syst. 17(10): 2921-2934 (2016) - [j22]Hanghang Tong, Fei Wang, Munmun De Choudhury, Zoran Obradovic:
Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue. ACM Trans. Knowl. Discov. Data 10(4): 37:1-37:4 (2016) - [j21]Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos:
Eigen-Optimization on Large Graphs by Edge Manipulation. ACM Trans. Knowl. Discov. Data 10(4): 49:1-49:30 (2016) - [j20]Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau:
Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. 28(1): 113-126 (2016) - [c105]Robert S. Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau:
VISAGE: Interactive Visual Graph Querying. AVI 2016: 272-279 - [c104]Yong Wu, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu:
Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation. CIKM 2016: 2287-2292 - [c103]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
TEAMOPT: Interactive Team Optimization in Big Networks. CIKM 2016: 2485-2487 - [c102]Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang:
BigNet 2016: First Workshop on Big Network Analytics. CIKM 2016: 2505-2506 - [c101]Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu:
ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. CIKM 2016: 2509 - [c100]Yuechang Liu, Hanghang Tong, Xie Lei, Yong Tang:
Network based models and path based features for gene prioritization. CSCWD 2016: 129-132 - [c99]Lei Shi, Sibai Sun, Yuan Xuan, Yue Su, Hanghang Tong, Shuai Ma, Yang Chen:
TOPIC: Toward perfect Influence Graph Summarization. ICDE 2016: 1074-1085 - [c98]Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He:
FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. KDD 2016: 765-774 - [c97]Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong:
QUINT: On Query-Specific Optimal Networks. KDD 2016: 985-994 - [c96]Si Zhang, Hanghang Tong:
FINAL: Fast Attributed Network Alignment. KDD 2016: 1345-1354 - [c95]Liangyue Li, Hanghang Tong, Jie Tang, Wei Fan:
iPath: Forecasting the Pathway to Impact. SDM 2016: 468-476 - [e1]Ravi Kumar, James Caverlee, Hanghang Tong:
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-2846-7 [contents] - 2015
- [j19]Leman Akoglu, Hanghang Tong, Danai Koutra:
Graph based anomaly detection and description: a survey. Data Min. Knowl. Discov. 29(3): 626-688 (2015) - [j18]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Detecting high-quality posts in community question answering sites. Inf. Sci. 302: 70-82 (2015) - [j17]Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng:
Robust bilinear factorization with missing and grossly corrupted observations. Inf. Sci. 307: 53-72 (2015) - [j16]Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
VEGAS: Visual influEnce GrAph Summarization on Citation Networks. IEEE Trans. Knowl. Data Eng. 27(12): 3417-3431 (2015) - [c94]Deqing Yang, Yanghua Xiao, Hanghang Tong, Wanyun Cui, Wei Wang:
Towards Topic Following in Heterogeneous Information Networks. ASONAM 2015: 363-366 - [c93]Hui Wang, Wanyun Cui, Yanghua Xiao, Hanghang Tong:
Robust network construction against intentional attacks. BigComp 2015: 279-286 - [c92]Zhen Chen, Hanghang Tong, Lei Ying:
Full diffusion history reconstruction in networks. IEEE BigData 2015: 707-716 - [c91]Nan Cao, Yu-Ru Lin, Liangyue Li, Hanghang Tong:
g-Miner: Interactive Visual Group Mining on Multivariate Graphs. CHI 2015: 279-288 - [c90]Deqing Yang, Yanghua Xiao, Hanghang Tong, Junjun Zhang, Wei Wang:
An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling. DASFAA (1) 2015: 353-373 - [c89]Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang:
Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM 2015: 291-300 - [c88]Lei Shi, Hanghang Tong, Xinzhu Mu:
BrainQuest: Perception-Guided Brain Network Comparison. ICDM 2015: 379-388 - [c87]Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong:
On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control. ICDM 2015: 715-720 - [c86]Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu:
Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison. IJCAI 2015: 3981-3987 - [c85]Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng (Polo) Chau:
Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design. IUI Companion 2015: 61-64 - [c84]Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He:
Facets: Fast Comprehensive Mining of Coevolving High-order Time Series. KDD 2015: 79-88 - [c83]Liangyue Li, Hanghang Tong:
The Child is Father of the Man: Foresee the Success at the Early Stage. KDD 2015: 655-664 - [c82]Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang:
Flexible and Robust Multi-Network Clustering. KDD 2015: 835-844 - [c81]Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li:
Panther: Fast Top-k Similarity Search on Large Networks. KDD 2015: 1445-1454 - [c80]Liangyue Li, Hanghang Tong, Yanghua Xiao, Wei Fan:
Cheetah: Fast Graph Kernel Tracking on Dynamic Graphs. SDM 2015: 280-288 - [c79]Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji:
Fast Mining of a Network of Coevolving Time Series. SDM 2015: 298-306 - [c78]Chen Chen, Hanghang Tong:
Fast Eigen-Functions Tracking on Dynamic Graphs. SDM 2015: 559-567 - [c77]Long T. Le, Tina Eliassi-Rad, Hanghang Tong:
MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. SDM 2015: 694-702 - [c76]Yuechang Liu, Hanghang Tong, Lei Xie, Yong Tang:
Supervised Link Prediction Using Random Walks. SMP 2015: 107-118 - [c75]Greg Olmschenk, Christopher Yang, Zhigang Zhu, Hanghang Tong, William H. Seiple:
Mobile Crowd Assisted Navigation for the Visually Impaired. UIC/ATC/ScalCom 2015: 324-327 - [c74]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. WWW 2015: 636-646 - [i11]Liangyue Li, Hanghang Tong:
The Child is Father of the Man: Foresee the Success at the Early Stage. CoRR abs/1504.00948 (2015) - [i10]Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juan-Zi Li:
Panther: Fast Top-k Similarity Search in Large Networks. CoRR abs/1504.02577 (2015) - [i9]José Fernando Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos:
Large Graph Analysis in the GMine System. CoRR abs/1505.07777 (2015) - [i8]José F. Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec:
GMine: A System for Scalable, Interactive Graph Visualization and Mining. CoRR abs/1506.03847 (2015) - 2014
- [j15]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model. IEEE Trans. Knowl. Data Eng. 26(7): 1706-1719 (2014) - [c73]Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Yue Zhao, Chuang Lin:
Hierarchical Focus+Context Heterogeneous Network Visualization. PacificVis 2014: 89-96 - [c72]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Joint voting prediction for questions and answers in CQA. ASONAM 2014: 340-343 - [c71]Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Duen Horng Chau:
MAGE: Matching approximate patterns in richly-attributed graphs. IEEE BigData 2014: 585-590 - [c70]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-Regularized One-Class Collaborative Filtering. CIKM 2014: 759-768 - [c69]Xing Su, Hanghang Tong, Ping Ji:
Accelerometer-based Activity Recognition on Smartphone. CIKM 2014: 2021-2023 - [c68]Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
WiiCluster: a Platform for Wikipedia Infobox Generation. CIKM 2014: 2033-2035 - [c67]Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
Flow-Based Influence Graph Visual Summarization. ICDM 2014: 983-988 - [c66]Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang:
Inside the atoms: ranking on a network of networks. KDD 2014: 1356-1365 - [c65]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Predicting long-term impact of CQA posts: a comprehensive viewpoint. KDD 2014: 1496-1505 - [c64]Hau Chan, Leman Akoglu, Hanghang Tong:
Make It or Break It: Manipulating Robustness in Large Networks. SDM 2014: 325-333 - [c63]Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong:
Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. SDM 2014: 866-874 - [c62]Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez:
1st workshop on diffusion networks and cascade analytics. WSDM 2014: 689-690 - [c61]Jagat Sastry Pudipeddi, Leman Akoglu, Hanghang Tong:
User churn in focused question answering sites: characterizations and prediction. WWW (Companion Volume) 2014: 469-474 - [c60]Hanghang Tong:
Query complex graph patterns: tools and applications. WWW (Companion Volume) 2014: 1195-1196 - [p3]Hanghang Tong:
Big Data Classification. Data Classification: Algorithms and Applications 2014: 275-286 - [r2]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. Encyclopedia of Social Network Analysis and Mining 2014: 2084-2098 - [i7]Leman Akoglu, Hanghang Tong, Danai Koutra:
Graph-based Anomaly Detection and Description: A Survey. CoRR abs/1404.4679 (2014) - [i6]Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
The Links Have It: Infobox Generation by Summarization over Linked Entities. CoRR abs/1406.6449 (2014) - [i5]Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
Flow-based Influence Graph Visual Summarization. CoRR abs/1408.2401 (2014) - [i4]Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng:
Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations. CoRR abs/1409.1062 (2014) - [i3]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. CoRR abs/1409.5512 (2014) - 2013
- [j14]Yuan Yao, Feng Xu, Yongli Ren, Hanghang Tong, Jian Lü:
SelfTrust: leveraging self-assessment for trust inference in Internetware. Sci. China Inf. Sci. 56(10): 1-14 (2013) - [j13]Fanhua Shang, Licheng Jiao, Yuanyuan Liu, Hanghang Tong:
Semi-supervised learning with nuclear norm regularization. Pattern Recognit. 46(8): 2323-2336 (2013) - [j12]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Pairwise trust inference by subgraph extraction. Soc. Netw. Anal. Min. 3(4): 953-968 (2013) - [j11]José Fernando Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos:
Large Graph Analysis in the GMine System. IEEE Trans. Knowl. Data Eng. 25(1): 106-118 (2013) - [c59]Danai Koutra, Hanghang Tong, David M. Lubensky:
BIG-ALIGN: Fast Bipartite Graph Alignment. ICDM 2013: 389-398 - [c58]Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau:
Demonstrating Interactive Multi-resolution Large Graph Exploration. ICDM Workshops 2013: 1097-1100 - [c57]Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken:
Mining Connection Pathways for Marked Nodes in Large Graphs. SDM 2013: 37-45 - [c56]Lada A. Adamic, Christos Faloutsos, Theodore J. Iwashyna, B. Aditya Prakash, Hanghang Tong:
Fractional Immunization in Networks. SDM 2013: 659-667 - [c55]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
MATRI: a multi-aspect and transitive trust inference model. WWW 2013: 1467-1476 - [p2]Hanghang Tong, U Kang:
Big Data Clustering. Data Clustering: Algorithms and Applications 2013: 259-276 - [i2]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Want a Good Answer? Ask a Good Question First! CoRR abs/1311.6876 (2013) - 2012
- [j10]Fei Wang, Hanghang Tong, Philip S. Yu, Charu C. Aggarwal:
Guest editorial: special issue on data mining technologies for computational social science. Data Min. Knowl. Discov. 25(3): 415-419 (2012) - [j9]Jingrui He, Hanghang Tong, Jaime G. Carbonell:
An effective framework for characterizing rare categories. Frontiers Comput. Sci. 6(2): 154-165 (2012) - [j8]Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad:
Gateway finder in large graphs: problem definitions and fast solutions. Inf. Retr. 15(3-4): 391-411 (2012) - [j7]Ching-Yung Lin, Lynn Wu, Zhen Wen, Hanghang Tong, Vicky Griffiths-Fisher, Lei Shi, David M. Lubensky:
Social Network Analysis in Enterprise. Proc. IEEE 100(9): 2759-2776 (2012) - [j6]Hanghang Tong, Ching-Yung Lin:
Non-negative residual matrix factorization: problem definition, fast solutions, and applications. Stat. Anal. Data Min. 5(1): 3-15 (2012) - [j5]U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
gbase: an efficient analysis platform for large graphs. VLDB J. 21(5): 637-650 (2012) - [c54]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. ASONAM 2012: 163-170 - [c53]Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos:
Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. ASONAM 2012: 696-698 - [c52]Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos:
Gelling, and melting, large graphs by edge manipulation. CIKM 2012: 245-254 - [c51]Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos:
Fast and reliable anomaly detection in categorical data. CIKM 2012: 415-424 - [c50]Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong:
Overlapping Clustering with Sparseness Constraints. ICDM Workshops 2012: 486-494 - [c49]Parikshit Sondhi, Jimeng Sun, Hanghang Tong, ChengXiang Zhai:
SympGraph: a framework for mining clinical notes through symptom relation graphs. KDD 2012: 1167-1175 - [c48]Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li:
RolX: structural role extraction & mining in large graphs. KDD 2012: 1231-1239 - [c47]Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos:
TourViz: interactive visualization of connection pathways in large graphs. KDD 2012: 1516-1519 - [c46]Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw K. Szymanski:
GenDeR: A Generic Diversified Ranking Algorithm. NIPS 2012: 1151-1159 - [c45]Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong, Wei Wang, Sheng Huang:
Which Topic Will You Follow? ECML/PKDD (2) 2012: 597-612 - [c44]Leman Akoglu, Hanghang Tong, Brendan Meeder, Christos Faloutsos:
PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs. SDM 2012: 439-450 - [c43]U Kang, Hanghang Tong, Jimeng Sun:
Fast Random Walk Graph Kernel. SDM 2012: 828-838 - [i1]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
MaTrust: An Effective Multi-Aspect Trust Inference Model. CoRR abs/1211.2041 (2012) - 2011
- [c42]Fei Wang, Hanghang Tong, Ching-Yung Lin:
Towards Evolutionary Nonnegative Matrix Factorization. AAAI 2011: 501-506 - [c41]Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos:
It's who you know: graph mining using recursive structural features. KDD 2011: 663-671 - [c40]Hanghang Tong, Jingrui He, Zhen Wen, Ravi B. Konuru, Ching-Yung Lin:
Diversified ranking on large graphs: an optimization viewpoint. KDD 2011: 1028-1036 - [c39]U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
GBASE: a scalable and general graph management system. KDD 2011: 1091-1099 - [c38]Nicholas Valler, B. Aditya Prakash, Hanghang Tong, Michalis Faloutsos, Christos Faloutsos:
Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point. Networking (1) 2011: 266-280 - [c37]U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong:
Centralities in Large Networks: Algorithms and Observations. SDM 2011: 119-130 - [c36]Hanghang Tong, Ching-Yung Lin:
Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection. SDM 2011: 143-153 - [c35]Didi Surian, Nian Liu, David Lo, Hanghang Tong, Ee-Peng Lim, Christos Faloutsos:
Recommending People in Developers' Collaboration Network. WCRE 2011: 379-388 - [c34]Dashun Wang, Zhen Wen, Hanghang Tong, Ching-Yung Lin, Chaoming Song, Albert-László Barabási:
Information spreading in context. WWW 2011: 735-744 - 2010
- [c33]Jingrui He, Hanghang Tong, Jaime G. Carbonell:
Rare Category Characterization. ICDM 2010: 226-235 - [c32]Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau:
On the Vulnerability of Large Graphs. ICDM 2010: 1091-1096 - [c31]Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong:
Metric forensics: a multi-level approach for mining volatile graphs. KDD 2010: 163-172 - [c30]Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad:
BASSET: Scalable Gateway Finder in Large Graphs. PAKDD (2) 2010: 449-463 - [c29]B. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos:
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms. ECML/PKDD (3) 2010: 99-114 - [p1]Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions. Link Mining 2010: 211-236
2000 – 2009
- 2009
- [c28]Hanghang Tong, Huiming Qu, Hani Jamjoom, Christos Faloutsos:
iPoG: fast interactive proximity querying on graphs. CIKM 2009: 1673-1676 - [c27]Kensuke Onuma, Hanghang Tong, Christos Faloutsos:
TANGENT: a novel, 'Surprise me', recommendation algorithm. KDD 2009: 657-666 - [r1]Hanghang Tong, Yehuda Koren, Christos Faloutsos:
Direction-Aware Proximity on Graphs. Encyclopedia of Data Warehousing and Mining 2009: 646-653 - 2008
- [j4]Hanghang Tong, Christos Faloutsos, Jia-Yu Pan:
Random walk with restart: fast solutions and applications. Knowl. Inf. Syst. 14(3): 327-346 (2008) - [j3]Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs. Stat. Anal. Data Min. 1(3): 142-156 (2008) - [c26]Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos:
Fast mining of complex time-stamped events. CIKM 2008: 759-768 - [c25]Hanghang Tong, Huiming Qu, Hani Jamjoom:
Measuring Proximity on Graphs with Side Information. ICDM 2008: 598-607 - [c24]Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad:
GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops 2008: 963-966 - [c23]Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos:
Using ghost edges for classification in sparsely labeled networks. KDD 2008: 256-264 - [c22]Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos:
Colibri: fast mining of large static and dynamic graphs. KDD 2008: 686-694 - [c21]Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Proximity Tracking on Time-Evolving Bipartite Graphs. SDM 2008: 704-715 - 2007
- [c20]Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad:
Fast best-effort pattern matching in large attributed graphs. KDD 2007: 737-746 - [c19]Hanghang Tong, Christos Faloutsos, Yehuda Koren:
Fast direction-aware proximity for graph mining. KDD 2007: 747-756 - 2006
- [j2]Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang:
Manifold-Ranking-Based Keyword Propagation for Image Retrieval. EURASIP J. Adv. Signal Process. 2006 (2006) - [j1]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Generalized Manifold-Ranking-Based Image Retrieval. IEEE Trans. Image Process. 15(10): 3170-3177 (2006) - [c18]Hanghang Tong, Christos Faloutsos, Jia-Yu Pan:
Fast Random Walk with Restart and Its Applications. ICDM 2006: 613-622 - [c17]Hanghang Tong, Christos Faloutsos:
Center-piece subgraphs: problem definition and fast solutions. KDD 2006: 404-413 - [c16]José Fernando Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec:
GMine: A System for Scalable, Interactive Graph Visualization and Mining. VLDB 2006: 1195-1198 - 2005
- [c15]Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang:
A Unified Optimization Based Learning Method for Image Retrieval. CVPR (2) 2005: 230-235 - [c14]Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong:
Boosting Web Image Search by Co-Ranking. ICASSP (2) 2005: 409-412 - [c13]Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen:
Internet Traffic Prediction by W-Boost: Classification and Regression. ISNN (3) 2005: 397-402 - [c12]Hanghang Tong, Chongrong Li, Jingrui He, Jiajian Chen, Quang-Anh Tran, Hai-Xin Duan, Xing Li:
Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier. ISNN (3) 2005: 476-481 - [c11]Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma, Changshui Zhang:
Multiple random walk and its application in content-based image retrieval. Multimedia Information Retrieval 2005: 151-158 - [c10]Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma:
Graph based multi-modality learning. ACM Multimedia 2005: 862-871 - [c9]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma:
Learning No-Reference Quality Metric by Examples. MMM 2005: 247-254 - 2004
- [c8]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang:
No-reference quality assessment for JPEG2000 compressed images. ICIP 2004: 3539-3542 - [c7]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang:
Blur detection for digital images using wavelet transform. ICME 2004: 17-20 - [c6]Hanghang Tong, Chongrong Li, Jingrui He:
A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction. ISNN (2) 2004: 931-936 - [c5]Jingrui He, Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang:
Mean version space: a new active learning method for content-based image retrieval. Multimedia Information Retrieval 2004: 15-22 - [c4]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Manifold-ranking based image retrieval. ACM Multimedia 2004: 9-16 - [c3]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Automatic Peak Number Detection in Image Symmetry Analysis. PCM (3) 2004: 111-118 - [c2]Hanghang Tong, Mingjing Li, HongJiang Zhang, Jingrui He, Changshui Zhang:
Classification of Digital Photos Taken by Photographers or Home Users. PCM (1) 2004: 198-205 - [c1]Jingrui He, Mingjing Li, Zhiwei Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang:
Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval. PCM (2) 2004: 213-220
Coauthor Index
[j89] [c261] [c260] [c258] [c255] [c253] [c252] [i101] [i100] [i99] [i90] [i85] [j82] [c227] [i80] [i73] [i71] [j71] [c218] [c210] [c200] [c198] [i57] [i47] [i43] [j60] [i27] [c166] [c164] [c158] [j46] [c142] [c141] [i17] [c123] [j32] [c112] [c110] [c109] [c87] [j9] [c46] [c40] [c33] [j2] [j1] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c6] [c5] [c4] [c3] [c2] [c1]
[j76] [j75] [c228] [i68] [j67] [c209] [c206] [c203] [c197] [c194] [i56] [c173] [i25] [j53] [c165] [c156] [j47] [j44] [c155] [c154] [c149] [c143] [b1] [j43] [c130] [c127] [r3] [j38] [j34] [j33] [j31] [c121] [c113] [j26] [c104] [c97] [j18] [c86] [j15] [c72] [c70] [c65] [r2] [j14] [j12] [c55] [i2] [c54] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-21 21:22 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
