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2020 – today
- 2025
[j45]Le Wu, Xiangzhi Chen, Fei Liu, Junsong Xie, Chenao Xia, Zhengtao Tan, Mi Tian, Jinglong Li, Kun Zhang, Defu Lian, Richang Hong, Meng Wang:
EduStudio: towards a unified library for student cognitive modeling. Frontiers Comput. Sci. 19(8): 198342 (2025)- [j44]Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie, Defu Lian:
Invariant representation learning via decoupling style and spurious features. Mach. Learn. 114(2): 37 (2025) - [c151]Haodi Zhang, Junyu Yang, Jinyin Nie, Peirou Liang, Kaishun Wu, Defu Lian, Rui Mao, Yuanfeng Song:
Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models. COLING 2025: 11290-11303 - [c150]Mingyue Cheng
, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian:
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations. WSDM 2025: 175-183 - [c149]Chenyuan Wu, Ninglu Shao, Zheng Liu, Shitao Xiao, Chaozhuo Li, Chen Zhang, Senzhang Wang, Defu Lian:
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. WSDM 2025: 271-280 - [c148]Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou:
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. WSDM 2025: 726-734 - [i116]Jin Chen, Jin Zhang, Xu huang, Yi Yang, Defu Lian, Enhong Chen:
Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications. CoRR abs/2501.08563 (2025) - [i115]Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Yuefeng Huang, Wulong Liu, Xinzhi Wang, Defu Lian, Baoqun Yin, Yasheng Wang, Wu Liu:
ACEBench: Who Wins the Match Point in Tool Learning? CoRR abs/2501.12851 (2025) - [i114]Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Defu Lian, Yingxia Shao:
Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width. CoRR abs/2501.16302 (2025) - [i113]Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. CoRR abs/2502.03036 (2025) - [i112]Cheng He, Xu Huang, Gangwei Jiang, Zhaoyi Li, Defu Lian, Hong Xie, Enhong Chen, Xijie Liang, Zengrong Zheng:
General Time-series Model for Universal Knowledge Representation of Multivariate Time-Series data. CoRR abs/2502.03264 (2025) - [i111]Ruiran Yan, Zheng Liu, Defu Lian:
O1 Embedder: Let Retrievers Think Before Action. CoRR abs/2502.07555 (2025) - 2024
- [j43]Yongzhang Wang, Defu Lian, Enhong Chen:
Event Assignment Based on KBQA for Government Service Hotlines. Appl. Artif. Intell. 38(1) (2024) - [j42]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j41]Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu:
Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11273-11286 (2024) - [j40]Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou:
PilotScope: Steering Databases with Machine Learning Drivers. Proc. VLDB Endow. 17(5): 980-993 (2024) - [j39]Haibing Hu, Kai Han, Zhizhuo Yin, Defu Lian:
Spatial and Temporal User Interest Representations for Sequential Recommendation. IEEE Trans. Comput. Soc. Syst. 11(5): 6087-6097 (2024) - [j38]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen:
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18(7): 169 (2024) - [j37]Defu Lian, Zhenguo Gao, Xia Song, Yucheng Li, Qi Liu, Enhong Chen:
Training Recommenders Over Large Item Corpus With Importance Sampling. IEEE Trans. Knowl. Data Eng. 36(12): 9433-9447 (2024) - [j36]Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang:
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13830-13844 (2024) - [j35]Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian:
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. 42(2): 52:1-52:30 (2024) - [j34]Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang:
Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. 42(5): 140:1-140:26 (2024) - [j33]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen:
When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 27(4): 42 (2024) - [c147]Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei:
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. AAAI 2024: 8787-8795 - [c146]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. AAAI 2024: 20596-20603 - [c145]Jianlyu Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu:
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. ACL (Findings) 2024: 2318-2335 - [c144]Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian:
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. ACL (1) 2024: 3490-3500 - [c143]Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao:
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. ACL (1) 2024: 6486-6517 - [c142]Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu:
On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) 2024: 9236-9260 - [c141]Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei:
Understanding and Patching Compositional Reasoning in LLMs. ACL (Findings) 2024: 9668-9688 - [c140]Chenyuan Wu, Gangwei Jiang, Defu Lian:
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. ACL (Findings) 2024: 10944-10959 - [c139]Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen:
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CIKM 2024: 1909-1919 - [c138]Ruiran Yan, Rui Fan, Defu Lian:
Multi-Task Recommendation with Task Information Decoupling. CIKM 2024: 2786-2795 - [c137]Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. DASFAA (3) 2024: 115-130 - [c136]Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian:
Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE. DASFAA (2) 2024: 456-465 - [c135]Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang:
Evaluating Readability and Faithfulness of Concept-based Explanations. EMNLP 2024: 607-625 - [c134]Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei:
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. EMNLP 2024: 15681-15700 - [c133]Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han:
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. ICLR 2024 - [c132]Kaiyu Jin, Chenwang Wu, Defu Lian:
Out-of-Distribution Generalization via Style and Spuriousness Eliminating. ICME 2024: 1-6 - [c131]Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen:
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. ICML 2024 - [c130]Tao Tan, Hong Xie, Defu Lian:
Adaptive Order Q-learning. IJCAI 2024: 4946-4954 - [c129]Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie:
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD 2024: 1530-1541 - [c128]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. KDD 2024: 3954-3965 - [c127]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. MLSys 2024 - [c126]Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan:
FilterNet: Harnessing Frequency Filters for Time Series Forecasting. NeurIPS 2024 - [c125]Leyan Deng, Chenwang Wu, Defu Lian, Enhong Chen:
Learning from Highly Sparse Spatio-temporal Data. NeurIPS 2024 - [c124]Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen:
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. NeurIPS 2024 - [c123]Jin Zhang, Ze Liu, Defu Lian, Enhong Chen:
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure. NeurIPS 2024 - [c122]Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff, Defu Lian, Jian-Yun Nie:
C-Pack: Packed Resources For General Chinese Embeddings. SIGIR 2024: 641-649 - [c121]Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen:
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. WISE (3) 2024: 164-178 - [c120]Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) 2024: 935-938 - [c119]Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie:
Information Retrieval Meets Large Language Models. WWW (Companion Volume) 2024: 1586-1589 - [c118]Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie:
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. WWW 2024: 3129-3138 - [c117]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW 2024: 3297-3306 - [i110]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing Recommender System via Cooperative Training. CoRR abs/2401.12700 (2024) - [i109]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen:
Understanding the planning of LLM agents: A survey. CoRR abs/2402.02716 (2024) - [i108]Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu:
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. CoRR abs/2402.03216 (2024) - [i107]Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei:
Understanding and Patching Compositional Reasoning in LLMs. CoRR abs/2402.14328 (2024) - [i106]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. CoRR abs/2402.16312 (2024) - [i105]Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. CoRR abs/2402.18899 (2024) - [i104]Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han:
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. CoRR abs/2403.08840 (2024) - [i103]Guanghua Li, Wensheng Lu, Wei Zhang, Defu Lian, Kezhong Lu, Rui Mao, Kai Shu, Hao Liao:
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors. CoRR abs/2403.09747 (2024) - [i102]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR abs/2403.17603 (2024) - [i101]Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. CoRR abs/2404.00268 (2024) - [i100]Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao:
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. CoRR abs/2404.04232 (2024) - [i99]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen:
WESE: Weak Exploration to Strong Exploitation for LLM Agents. CoRR abs/2404.07456 (2024) - [i98]Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen:
Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR abs/2404.16587 (2024) - [i97]Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang:
Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability. CoRR abs/2404.18533 (2024) - [i96]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. CoRR abs/2405.06510 (2024) - [i95]Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang:
CELA: Cost-Efficient Language Model Alignment for CTR Prediction. CoRR abs/2405.10596 (2024) - [i94]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Zhi Li, Sirui Zhao, Defu Lian, Enhong Chen:
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. CoRR abs/2405.12473 (2024) - [i93]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. CoRR abs/2405.17795 (2024) - [i92]Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou:
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. CoRR abs/2406.01027 (2024) - [i91]Tingjia Shen, Hao Wang, Jiaqing Zhang, Sirui Zhao, Liangyue Li, Zulong Chen, Defu Lian, Enhong Chen:
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. CoRR abs/2406.03085 (2024) - [i90]Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei:
Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector. CoRR abs/2406.12227 (2024) - [i89]Chenyuan Wu, Gangwei Jiang, Defu Lian:
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. CoRR abs/2406.12251 (2024) - [i88]Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen:
Foundations and Frontiers of Graph Learning Theory. CoRR abs/2407.03125 (2024) - [i87]Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR abs/2407.06645 (2024) - [i86]Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian:
Dual Test-time Training for Out-of-distribution Recommender System. CoRR abs/2407.15620 (2024) - [i85]Qi Liu, Yongyi He, Defu Lian, Zhi Zheng, Tong Xu, Liu Che, Enhong Chen:
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CoRR abs/2407.16160 (2024) - [i84]Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min:
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. CoRR abs/2408.08231 (2024) - [i83]Hong Xie, Jinyu Mo, Defu Lian, Jie Wang, Enhong Chen:
Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities. CoRR abs/2408.10865 (2024) - [i82]Hong Xie, Mingze Zhong, Defu Lian, Zhen Wang, Enhong Chen:
Analytical and Empirical Study of Herding Effects in Recommendation Systems. CoRR abs/2408.10895 (2024) - [i81]Ze Liu, Jin Zhang, Chao Feng, Defu Lian, Jie Wang, Enhong Chen:
Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method. CoRR abs/2408.11345 (2024) - [i80]Hao Wang, Yongqiang Han, Kefan Wang, Kai Cheng, Zhen Wang, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. CoRR abs/2408.11372 (2024) - [i79]Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou:
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. CoRR abs/2408.12153 (2024) - [i78]Qi Liu, Xingyuan Tang, Jianqiang Huang, Xiangqian Yu, Haoran Jin, Jin Chen, Yuanhao Pu, Defu Lian, Tan Qu, Zhe Wang, Jia Cheng, Jun Lei:
Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction. CoRR abs/2408.16238 (2024) - [i77]Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (2024) - [i76]Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Xin Li, Feiyang Xu, Deguang Liu, Huadong Liang, Yi Li, Jian Cui, Zimu Liu, Shijin Wang, Guoping Hu, Guiquan Liu, Qi Liu, Defu Lian, Enhong Chen:
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models. CoRR abs/2409.13989 (2024) - [i75]Zheng Liu, Chenyuan Wu, Ninglu Shao, Shitao Xiao, Chaozhuo Li, Defu Lian:
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. CoRR abs/2409.15699 (2024) - [i74]Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Yingxia Shao, Defu Lian, Zheng Liu:
Making Text Embedders Few-Shot Learners. CoRR abs/2409.15700 (2024) - [i73]Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen:
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. CoRR abs/2410.05877 (2024) - [i72]Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei:
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. CoRR abs/2410.07054 (2024) - [i71]Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai:
RecFlow: An Industrial Full Flow Recommendation Dataset. CoRR abs/2410.20868 (2024) - [i70]Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen:
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. CoRR abs/2410.23994 (2024) - [i69]Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan:
FilterNet: Harnessing Frequency Filters for Time Series Forecasting. CoRR abs/2411.01623 (2024) - [i68]Zhihao Zhu, Yi Yang, Defu Lian:
TDDBench: A Benchmark for Training data detection. CoRR abs/2411.03363 (2024) - [i67]Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen:
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. CoRR abs/2411.15005 (2024) - [i66]Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen:
Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. CoRR abs/2412.00430 (2024) - [i65]Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen:
Scaling New Frontiers: Insights into Large Recommendation Models. CoRR abs/2412.00714 (2024) - [i64]Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian:
Boosting Long-Context Management via Query-Guided Activation Refilling. CoRR abs/2412.12486 (2024) - [i63]Jianlyu Chen, Nan Wang, Chaofan Li, Bo Wang, Shitao Xiao, Han Xiao, Hao Liao, Defu Lian, Zheng Liu:
AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark. CoRR abs/2412.13102 (2024) - [i62]Junjie Zhou, Zheng Liu, Ze Liu, Shitao Xiao, Yueze Wang, Bo Zhao, Chen Jason Zhang, Defu Lian, Yongping Xiong:
MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval. CoRR abs/2412.14475 (2024) - 2023
- [j32]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11915-11931 (2023) - [j31]Fulan Qian, Bei Yuan, Hai Chen, Jie Chen, Defu Lian, Shu Zhao:
Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems. IEEE Trans. Big Data 9(5): 1276-1287 (2023) - [j30]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) - [j29]Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen:
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35(5): 5119-5131 (2023) - [j28]Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian:
Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11585-11598 (2023) - [j27]Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, Enhong Chen:
Markov-Driven Graph Convolutional Networks for Social Spammer Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12310-12322 (2023) - [j26]Zhe Tang, Yi Yang, Wen Li, Defu Lian, Lixin Duan:
Deep Cross-Attention Network for Crowdfunding Success Prediction. IEEE Trans. Multim. 25: 1306-1319 (2023) - [j25]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41(1): 8:1-8:27 (2023) - [j24]Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen:
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. ACM Trans. Inf. Syst. 41(2): 44:1-44:29 (2023) - [j23]Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang:
An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Trans. Inf. Syst. 41(4): 91:1-91:31 (2023) - [j22]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing recommender system via cooperative training. World Wide Web (WWW) 26(6): 3915-3943 (2023) - [c116]Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. AAAI 2023: 4875-4883 - [c115]Zhaoyi Li, Ying Wei, Defu Lian:
Learning to Substitute Spans towards Improving Compositional Generalization. ACL (1) 2023: 2791-2811 - [c114]Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng:
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM 2023: 494-503 - [c113]Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian:
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. CIKM 2023: 1637-1646 - [c112]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM 2023: 3009-3019 - [c111]Yucheng Li, Defu Lian, Jin Chen:
Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders. DASFAA (Workshops) 2023: 95-108 - [c110]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) 2023: 286-296 - [c109]Chaoqun Su, Chenwang Wu, Defu Lian:
GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. ECAI 2023: 2218-2225 - [c108]Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei:
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. EMNLP (Findings) 2023: 12081-12095 - [c107]Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu:
Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. ICDE 2023: 1234-1246 - [c106]Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou:
Learned Index with Dynamic $\epsilon$. ICLR 2023 - [c105]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI 2023: 2361-2369 - [c104]Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen:
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD 2023: 1353-1362 - [c103]Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen:
A Causality Inspired Framework for Model Interpretation. KDD 2023: 2731-2741 - [c102]Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen:
Knowledge Distillation for High Dimensional Search Index. NeurIPS 2023 - [c101]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS 2023 - [c100]Xingmei Wang, Yankai Wang, Defu Lian:
A Simple and Robust Ensemble For Click-Through Rate Prediction. RecSys Challenge 2023: 14-17 - [c99]Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen:
RecStudio: Towards a Highly-Modularized Recommender System. SIGIR 2023: 2890-2900 - [c98]Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao:
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR 2023: 3095-3099 - [c97]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. WWW 2023: 1012-1020 - [c96]Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen:
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. WWW 2023: 1032-1042 - [c95]Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. WWW 2023: 1150-1161 - [c94]Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen:
Membership Inference Attacks Against Sequential Recommender Systems. WWW 2023: 1208-1219 - [c93]Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen:
Differentiable Optimized Product Quantization and Beyond. WWW 2023: 3353-3363 - [i61]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. CoRR abs/2302.06333 (2023) - [i60]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR abs/2303.00243 (2023) - [i59]Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR abs/2303.07758 (2023) - [i58]Zhaoyi Li, Ying Wei, Defu Lian:
Learning to Substitute Spans towards Improving Compositional Generalization. CoRR abs/2306.02840 (2023) - [i57]Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng:
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence. CoRR abs/2307.05623 (2023) - [i56]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen:
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR abs/2307.16376 (2023) - [i55]Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian:
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. CoRR abs/2308.05996 (2023) - [i54]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR abs/2308.08563 (2023) - [i53]Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie:
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. CoRR abs/2308.16505 (2023) - [i52]Jin Zhang, Defu Lian, Hong Xie, Yawen Li, Enhong Chen:
Interactive Graph Convolutional Filtering. CoRR abs/2309.01453 (2023) - [i51]Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu:
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias. CoRR abs/2309.14907 (2023) - [i50]Yichang Xu, Chenwang Wu, Defu Lian:
Toward Robust Recommendation via Real-time Vicinal Defense. CoRR abs/2309.17278 (2023) - [i49]Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng:
Large-Scale OD Matrix Estimation with A Deep Learning Method. CoRR abs/2310.05753 (2023) - [i48]Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian, Ying Wei:
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt. CoRR abs/2310.13024 (2023) - [i47]Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie:
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. CoRR abs/2310.13260 (2023) - [i46]Shi Yin, Shijie Huan, Defu Lian, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu:
1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking. CoRR abs/2311.00241 (2023) - [i45]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CoRR abs/2311.02816 (2023) - [i44]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR abs/2311.06184 (2023) - [i43]Qi Liu, Xuyang Hou, Haoran Jin, Jin Chen, Zhe Wang, Defu Lian, Tan Qu, Jia Cheng, Jun Lei:
Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction. CoRR abs/2311.10764 (2023) - [i42]Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie:
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. CoRR abs/2311.10947 (2023) - [i41]Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Hong Xie, Defu Lian:
Invariant Representation Learning via Decoupling Style and Spurious Features. CoRR abs/2312.06226 (2023) - [i40]Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei:
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. CoRR abs/2312.06683 (2023) - [i39]Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Defu Lian, Enhong Chen:
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. CoRR abs/2312.10943 (2023) - [i38]Zhihao Zhu, Rui Fan, Chenwang Wu, Yi Yang, Defu Lian, Enhong Chen:
Model Stealing Attack against Recommender System. CoRR abs/2312.11571 (2023) - 2022
- [j21]Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian:
A Survey on Session-based Recommender Systems. ACM Comput. Surv. 54(7): 154:1-154:38 (2022) - [j20]Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3169-3181 (2022) - [j19]Defu Lian, Jin Chen, Kai Zheng, Enhong Chen, Xiaofang Zhou:
Ranking-Based Implicit Regularization for One-Class Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 34(12): 5951-5963 (2022) - [j18]Leyan Deng, Defu Lian, Zhenya Huang, Enhong Chen:
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2416-2428 (2022) - [j17]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) - [j16]Hanchen Wang, Defu Lian, Wanqi Liu, Dong Wen, Chen Chen, Xiaoyang Wang:
Powerful graph of graphs neural network for structured entity analysis. World Wide Web 25(2): 609-629 (2022) - [c92]Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen:
Anisotropic Additive Quantization for Fast Inner Product Search. AAAI 2022: 4354-4362 - [c91]Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi:
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. ACL (Findings) 2022: 150-157 - [c90]Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu:
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. ACL (Findings) 2022: 410-422 - [c89]Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. CIDR 2022 - [c88]Jinchao Ma, Defu Lian:
Attention-Cooperated Reinforcement Learning for Multi-agent Path Planning. DASFAA (Workshops) 2022: 272-290 - [c87]Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang:
TMN: Trajectory Matching Networks for Predicting Similarity. ICDE 2022: 1700-1713 - [c86]Lijiao Qin, Defu Lian:
Adversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town Recommendation. KSEM (3) 2022: 501-515 - [c85]Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei, Defu Lian:
Self-Supervised Text Erasing with Controllable Image Synthesis. ACM Multimedia 2022: 1973-1983 - [c84]Shiyao Wang, Qi Liu, Yicheng Zhong, Zhilong Zhou, Tiezheng Ge, Defu Lian, Yuning Jiang:
CreaGAN: An Automatic Creative Generation Framework for Display Advertising. ACM Multimedia 2022: 7261-7269 - [c83]Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen:
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. NeurIPS 2022 - [c82]Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen:
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. NeurIPS 2022 - [c81]Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen:
Recommender Forest for Efficient Retrieval. NeurIPS 2022 - [c80]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. ECML/PKDD (3) 2022: 251-268 - [c79]Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen:
Improving Implicit Alternating Least Squares with Ring-based Regularization. SIGIR 2022: 102-111 - [c78]Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang:
NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. SIGIR 2022: 332-342 - [c77]Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. SIGIR 2022: 523-532 - [c76]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR 2022: 1513-1523 - [c75]Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang:
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR 2022: 2053-2058 - [c74]Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. WISE 2022: 564-578 - [c73]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW 2022: 286-296 - [c72]Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW 2022: 1944-1954 - [c71]Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen:
Learning Recommenders for Implicit Feedback with Importance Resampling. WWW 2022: 1997-2005 - [c70]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King:
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. WWW 2022: 2462-2471 - [i37]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR abs/2201.05409 (2022) - [i36]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR abs/2201.09290 (2022) - [i35]Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie:
A Mutually Reinforced Framework for Pretrained Sentence Embeddings. CoRR abs/2202.13802 (2022) - [i34]Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi:
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. CoRR abs/2203.15858 (2022) - [i33]Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu:
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. CoRR abs/2203.15860 (2022) - [i32]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR abs/2204.00185 (2022) - [i31]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King:
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. CoRR abs/2204.08176 (2022) - [i30]Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang:
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR abs/2204.09508 (2022) - [i29]Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei, Defu Lian:
Self-Supervised Text Erasing with Controllable Image Synthesis. CoRR abs/2204.12743 (2022) - [i28]Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen:
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. CoRR abs/2205.14859 (2022) - [i27]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR abs/2206.08661 (2022) - [i26]Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. CoRR abs/2206.14649 (2022) - [i25]Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. CoRR abs/2210.13762 (2022) - [i24]Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou:
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. CoRR abs/2211.00641 (2022) - [i23]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. CoRR abs/2211.08068 (2022) - 2021
- [j15]Shuo Tao, Jingang Jiang, Defu Lian, Kai Zheng, Enhong Chen:
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling. ACM Trans. Intell. Syst. Technol. 12(6): 78:1-78:23 (2021) - [j14]Defu Lian, Xing Xie, Enhong Chen:
Discrete Matrix Factorization and Extension for Fast Item Recommendation. IEEE Trans. Knowl. Data Eng. 33(5): 1919-1933 (2021) - [j13]Defu Lian, Xing Xie, Enhong Chen, Hui Xiong:
Product Quantized Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 33(9): 3284-3296 (2021) - [j12]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin:
Binarized graph neural network. World Wide Web 24(3): 825-848 (2021) - [c69]Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. AAAI 2021: 3967-3975 - [c68]Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu:
Assessing Dialogue Systems with Distribution Distances. ACL/IJCNLP (Findings) 2021: 2192-2198 - [c67]Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao:
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. CIKM 2021: 1909-1918 - [c66]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Matching-oriented Embedding Quantization For Ad-hoc Retrieval. EMNLP (1) 2021: 8119-8129 - [c65]Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen:
Preference-Adaptive Meta-Learning for Cold-Start Recommendation. IJCAI 2021: 1607-1614 - [c64]Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen:
Online Additive Quantization. KDD 2021: 1098-1108 - [c63]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021: 1830-1840 - [c62]Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) 2021: 251-278 - [c61]Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn:
Meta-learning with an Adaptive Task Scheduler. NeurIPS 2021: 7497-7509 - [c60]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. NeurIPS 2021: 28798-28810 - [c59]Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen:
xLightFM: Extremely Memory-Efficient Factorization Machine. SIGIR 2021: 337-346 - [c58]Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen:
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR 2021: 575-584 - [c57]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan:
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021: 1074-1083 - [c56]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c55]Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. WWW 2021: 1262-1273 - [c54]Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Automated Creative Optimization for E-Commerce Advertising. WWW 2021: 2304-2313 - [c53]Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang:
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. WWW 2021: 2324-2334 - [i22]Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang:
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. CoRR abs/2102.04033 (2021) - [i21]Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Automated Creative Optimization for E-Commerce Advertising. CoRR abs/2103.00436 (2021) - [i20]Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. CoRR abs/2103.01453 (2021) - [i19]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Search-oriented Differentiable Product Quantization. CoRR abs/2104.07858 (2021) - [i18]Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie:
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. CoRR abs/2104.10925 (2021) - [i17]Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. CoRR abs/2105.02418 (2021) - [i16]Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu:
Assessing Dialogue Systems with Distribution Distances. CoRR abs/2105.02573 (2021) - [i15]Yongji Wu, Lu Yin, Defu Lian, Mingyang Yin, Neil Zhenqiang Gong, Jingren Zhou, Hongxia Yang:
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention. CoRR abs/2105.14060 (2021) - [i14]Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. CoRR abs/2105.14068 (2021) - [i13]Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. CoRR abs/2109.05773 (2021) - [i12]Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn:
Meta-learning with an Adaptive Task Scheduler. CoRR abs/2110.14057 (2021) - 2020
- [j11]Jin Chen, Defu Lian, Kai Zheng:
Collaborative Filtering With Ranking-Based Priors on Unknown Ratings. IEEE Intell. Syst. 35(5): 38-49 (2020) - [j10]Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu, Xiaofang Zhou:
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing. IEEE Trans. Knowl. Data Eng. 32(11): 2227-2240 (2020) - [c52]Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen:
A Variational Point Process Model for Social Event Sequences. AAAI 2020: 173-180 - [c51]Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen:
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. AAAI 2020: 1054-1061 - [c50]Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen:
Predicting Human Mobility with Self-attention and Feature Interaction. APWeb/WAIM (2) 2020: 117-131 - [c49]Chong Liu, Defu Lian, Min Nie, Hu Xia:
Online Optimized Product Quantization. ICDM 2020: 362-371 - [c48]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin:
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. IJCAI 2020: 1317-1323 - [c47]Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen:
Geography-Aware Sequential Location Recommendation. KDD 2020: 2009-2019 - [c46]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. NeurIPS 2020 - [c45]Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie:
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR 2020: 289-298 - [c44]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. SIGIR 2020: 1211-1220 - [c43]Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie:
LightRec: A Memory and Search-Efficient Recommender System. WWW 2020: 695-705 - [c42]Defu Lian, Qi Liu, Enhong Chen:
Personalized Ranking with Importance Sampling. WWW 2020: 1093-1103 - [i11]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin:
Binarized Graph Neural Network. CoRR abs/2004.11147 (2020) - [i10]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin:
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. CoRR abs/2005.05537 (2020) - [i9]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. CoRR abs/2005.11724 (2020) - [i8]Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-start Recommendation. CoRR abs/2011.00944 (2020) - [i7]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. CoRR abs/2011.00956 (2020)
2010 – 2019
- 2019
- [j9]Huaxiu Yao, Defu Lian, Yi Cao, Yifan Wu, Tao Zhou:
Predicting Academic Performance for College Students: A Campus Behavior Perspective. ACM Trans. Intell. Syst. Technol. 10(3): 24:1-24:21 (2019) - [c41]Jin Chen, Defu Lian, Kai Zheng:
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer. AAAI 2019: 37-44 - [c40]Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng:
Preference-Aware Task Assignment in Spatial Crowdsourcing. AAAI 2019: 2629-2636 - [c39]Haoyu Wang, Nan Shao, Defu Lian:
Adversarial Binary Collaborative Filtering for Implicit Feedback. AAAI 2019: 5248-5255 - [c38]Fikret Sivrikaya, Sahin Albayrak, Defu Lian:
International Workshop on Model Selection and Parameter Tuning in Recommender Systems. CIKM 2019: 2999-3000 - [c37]Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen:
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. IJCAI 2019: 3898-3904 - [c36]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Network. IJCAI 2019: 4802-4808 - [c35]Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. KDD 2019: 1064-1072 - [i6]Huaxiu Yao, Defu Lian, Yi Cao, Yifan Wu, Tao Zhou:
Predicting Academic Performance for College Students: A Campus Behavior Perspective. CoRR abs/1903.06726 (2019) - [i5]Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. CoRR abs/1905.11013 (2019) - [i4]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. CoRR abs/1906.01829 (2019) - [i3]Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie:
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. CoRR abs/1907.06323 (2019) - 2018
- [j8]Min Nie, Lei Yang, Jun Sun, Han Su, Hu Xia, Defu Lian, Kai Yan:
Advanced forecasting of career choices for college students based on campus big data. Frontiers Comput. Sci. 12(3): 494-503 (2018) - [j7]Defu Lian, Qi Liu:
Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective. J. Comput. Sci. Technol. 33(4): 654-667 (2018) - [j6]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Scalable Content-Aware Collaborative Filtering for Location Recommendation. IEEE Trans. Knowl. Data Eng. 30(6): 1122-1135 (2018) - [j5]Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie:
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. 36(3): 33:1-33:29 (2018) - [c34]Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu:
Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI 2018: 2532-2539 - [c33]Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu:
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI 2018: 3892-3899 - [c32]Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu:
MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. DASFAA (2) 2018: 318-335 - [c31]Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang:
Binarized attributed network embedding. ICDM 2018: 1476-1481 - [c30]Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie:
High-order Proximity Preserving Information Network Hashing. KDD 2018: 1744-1753 - [c29]Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang:
Neural Memory Streaming Recommender Networks with Adversarial Training. KDD 2018: 2467-2475 - [c28]Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang:
Discrete Ranking-based Matrix Factorization with Self-Paced Learning. KDD 2018: 2758-2767 - [c27]Steven Mudda, Defu Lian, Silvia Giordano, Danyang Liu, Xing Xie:
Spatial-Aware Deep Recommender System. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 983-990 - [c26]Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian:
Discrete Deep Learning for Fast Content-Aware Recommendation. WSDM 2018: 717-726 - 2017
- [c25]Yan Zhang, Defu Lian, Guowu Yang:
Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback. AAAI 2017: 1669-1675 - [c24]Han Su, Wei Chen, Rong Liu, Min Nie, Bolong Zheng, Zehao Huang, Defu Lian:
GPS-Simulated Trajectory Detection. DASFAA (2) 2017: 581-593 - [c23]Huaxiu Yao, Min Nie, Han Su, Hu Xia, Defu Lian:
Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network. DASFAA (2) 2017: 597-609 - [c22]Huayu Li, Yong Ge, Defu Lian, Hao Liu:
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. IJCAI 2017: 2117-2123 - [c21]Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao:
Discrete Content-aware Matrix Factorization. KDD 2017: 325-334 - [c20]Fuzheng Zhang, Defu Lian, Xing Xie:
Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling. NLPCC 2017: 937-941 - [r1]Defu Lian, Nicholas Jing Yuan:
Mobile Check-In Recommendation. Encyclopedia of GIS 2017: 1235-1244 - 2016
- [c19]Min Nie, Lei Yang, Bin Ding, Hu Xia, Huachun Xu, Defu Lian:
Forecasting Career Choice for College Students Based on Campus Big Data. APWeb (1) 2016: 359-370 - [c18]Yan Zhang, Guowu Yang, Defu Lian, Hong Wen, Jinsong Wu:
Constraint Free Preference Preserving Hashing for Fast Recommendation. GLOBECOM 2016: 1-6 - [c17]Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong:
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. ICDM 2016: 1023-1028 - [c16]Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie:
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. ICDM 2016: 1029-1034 - [c15]Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge:
A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback. IJCAI 2016: 1683-1689 - [c14]Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong:
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. IJCAI 2016: 1732-1738 - [c13]Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma:
Collaborative Knowledge Base Embedding for Recommender Systems. KDD 2016: 353-362 - [c12]Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui:
Exploiting Dining Preference for Restaurant Recommendation. WWW 2016: 725-735 - [i2]Hao Fu, Xing Xie, Yong Rui, Defu Lian, Guangzhong Sun, Enhong Chen:
Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region. CoRR abs/1604.02694 (2016) - 2015
- [j4]Defu Lian, Xing Xie, Fuzheng Zhang, Nicholas Jing Yuan, Tao Zhou, Yong Rui:
Mining Location-based Social Networks: A Predictive Perspective. IEEE Data Eng. Bull. 38(2): 35-46 (2015) - [j3]Jie Bao, Defu Lian, Fuzheng Zhang, Nicholas Jing Yuan:
Geo-social media data analytic for user modeling and location-based services. ACM SIGSPATIAL Special 7(3): 11-18 (2015) - [c11]Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui:
Mining consumer impulsivity from offline and online behavior. UbiComp 2015: 1281-1292 - [c10]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. ICDM 2015: 261-270 - [c9]Xianming Li, Defu Lian, Xing Xie, Guangzhong Sun:
Lifting the Predictability of Human Mobility on Activity Trajectories. ICDM Workshops 2015: 1063-1069 - [c8]Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui:
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. KDD 2015: 1275-1284 - 2014
- [j2]Defu Lian, Xing Xie:
Mining Check-In History for Personalized Location Naming. ACM Trans. Intell. Syst. Technol. 5(2): 32:1-32:25 (2014) - [c7]Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui:
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. KDD 2014: 831-840 - [c6]Defu Lian, Yin Zhu, Xing Xie, Enhong Chen:
Analyzing Location Predictability on Location-Based Social Networks. PAKDD (1) 2014: 102-113 - [c5]Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie:
Mining novelty-seeking trait across heterogeneous domains. WWW 2014: 373-384 - [i1]Zimo Yang, Defu Lian, Nicholas Jing Yuan, Xing Xie, Yong Rui, Tao Zhou:
Indigenization of Urban Mobility. CoRR abs/1405.7769 (2014) - 2013
- [c4]Nicholas Jing Yuan, Fuzheng Zhang, Defu Lian, Kai Zheng, Siyu Yu, Xing Xie:
We know how you live: exploring the spectrum of urban lifestyles. COSN 2013: 3-14 - [c3]Defu Lian, Vincent Wenchen Zheng, Xing Xie:
Collaborative filtering meets next check-in location prediction. WWW (Companion Volume) 2013: 231-232 - 2012
- [j1]Jing Yuan, Guangzhong Sun, Tao Luo, Defu Lian, Guoliang Chen:
Efficient processing of top-k queries: selective NRA algorithms. J. Intell. Inf. Syst. 39(3): 687-710 (2012) - 2011
- [c2]Defu Lian, Xing Xie:
Collaborative activity recognition via check-in history. GIS-LBSN 2011: 45-48 - [c1]Defu Lian, Xing Xie:
Learning location naming from user check-in histories. GIS 2011: 112-121
Coauthor Index
[i116] [i113] [i112] [j43] [j42] [j38] [j37] [j36] [j33] [c146] [c139] [c137] [c131] [c128] [c125] [c124] [c123] [c121] [c117] [i110] [i109] [i106] [i102] [i101] [i99] [i98] [i94] [i93] [i91] [i88] [i87] [i85] [i83] [i82] [i81] [i80] [i77] [i76] [i73] [i70] [i67] [i66] [i65] [j32] [j30] [j29] [j27] [j25] [j24] [j23] [j22] [c116] [c112] [c110] [c105] [c104] [c103] [c102] [c99] [c96] [c95] [c94] [c93] [i60] [i57] [i56] [i54] [i52] [i49] [i45] [i39] [i38] [j19] [j18] [j17] [c92] [c83] [c82] [c81] [c80] [c79] [c77] [c74] [c72] [c71] [i36] [i28] [i27] [i26] [i25] [i23] [j15] [j14] [j13] [c65] [c64] [c63] [c59] [c58] [c57] [c56] [i13] [c52] [c51] [c50] [c47] [c46] [c43] [c42] [i7] [c37] [c35] [i5] [j5] [c32] [i2] [c8] [c7] [c6]
[c142] [c129] [c120] [c118] [i105] [j29] [j25] [c103] [c95] [i53] [i47] [i42] [c77] [c76] [c73] [i37] [i36] [i35] [i32] [i26] [j14] [j13] [c66] [c60] [i19] [i18] [c47] [c46] [c45] [c43] [i7] [i3] [j6] [j5] [c30] [c27] [c21] [c20] [c17] [c16] [c14] [c13] [c12] [i2] [j4] [c11] [c10] [c9] [c8] [j2] [c7] [c6] [c5] [i1] [c4] [c3] [c2] [c1]
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