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2020 – today
- 2024
[j19]Florian Carichon
, Chrys Ngouma, Bang Liu, Gilles Caporossi:
Objective and neutral summarization of customer reviews. Expert Syst. Appl. 255: 124449 (2024)- [j18]Zhibin Gao, Gaoyu Luo, Shanhao Zhan, Bang Liu, Lianfen Huang, Han-Chieh Chao:
ST-HO: Symmetry-Enhanced Energy-Efficient DAG Task Offloading Algorithm in Intelligent Transport System. Symmetry 16(2): 164 (2024) - [j17]Yuyan Chen, Yanghua Xiao, Zhixu Li, Bang Liu:
XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding. IEEE Trans. Knowl. Data Eng. 36(3): 1371-1384 (2024) - [c66]Yuyan Chen, Yichen Yuan, Panjun Liu, Dayiheng Liu, Qinghao Guan, Mengfei Guo, Haiming Peng, Bang Liu, Zhixu Li, Yanghua Xiao:
Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation. AAAI 2024: 17826-17834 - [c65]Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu:
Resonance RoPE: Improving Context Length Generalization of Large Language Models. ACL (Findings) 2024: 586-598 - [c64]Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu:
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. ACL (1) 2024: 622-636 - [c63]Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu:
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games. ACL (Findings) 2024: 8225-8291 - [c62]Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu:
OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following. AAMAS 2024: 2465-2467 - [c61]Jeremy Qin, Bang Liu, Quoc Dinh Nguyen:
Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration. EMNLP (Findings) 2024: 2520-2537 - [c60]Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu:
HoneyComb: A Flexible LLM-Based Agent System for Materials Science. EMNLP (Findings) 2024: 3369-3382 - [c59]Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu:
Enhancing Agent Learning through World Dynamics Modeling. EMNLP (Findings) 2024: 3534-3568 - [c58]Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu:
FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. EMNLP 2024: 13228-13243 - [c57]Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu:
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. ICLR 2024 - [c56]Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu:
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. ICML 2024 - [c55]Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu:
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention. IJCAI 2024: 7144-7152 - [c54]Yili Li, Jing Yu, Keke Gai, Bang Liu, Gang Xiong, Qi Wu:
T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval. ACM Multimedia 2024: 3955-3963 - [i58]Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu:
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. CoRR abs/2401.14578 (2024) - [i57]Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu:
Data Interpreter: An LLM Agent For Data Science. CoRR abs/2402.18679 (2024) - [i56]Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu:
Resonance RoPE: Improving Context Length Generalization of Large Language Models. CoRR abs/2403.00071 (2024) - [i55]Xiaoqiang Wang, Bang Liu, Lingfei Wu:
FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. CoRR abs/2403.00126 (2024) - [i54]Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu:
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. CoRR abs/2403.03017 (2024) - [i53]Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu:
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. CoRR abs/2405.01762 (2024) - [i52]Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen:
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection. CoRR abs/2405.16178 (2024) - [i51]Wei Zhou, Hong Huang, Guowen Zhang, Ruize Shi, Kehan Yin, Yuanyuan Lin, Bang Liu:
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework. CoRR abs/2406.04598 (2024) - [i50]Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio:
VCR: Visual Caption Restoration. CoRR abs/2406.06462 (2024) - [i49]Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen:
Can Pre-trained Language Models Understand Chinese Humor? CoRR abs/2407.04105 (2024) - [i48]Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao:
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. CoRR abs/2407.04118 (2024) - [i47]Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu:
Enhancing Agent Learning through World Dynamics Modeling. CoRR abs/2407.17695 (2024) - [i46]Yili Li, Jing Yu, Keke Gai, Bang Liu, Gang Xiong, Qi Wu:
T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval. CoRR abs/2408.11432 (2024) - [i45]Yizhan Li, Sifan Wu, Christopher Smith, Thomas Lo, Bang Liu:
Improving Clinical Note Generation from Complex Doctor-Patient Conversation. CoRR abs/2408.14568 (2024) - [i44]Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu:
HoneyComb: A Flexible LLM-Based Agent System for Materials Science. CoRR abs/2409.00135 (2024) - [i43]K. Roth, Rushil Gupta, Simon Hallé, Bang Liu:
Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A. CoRR abs/2409.01344 (2024) - [i42]Jeremy Qin, Bang Liu, Quoc Dinh Nguyen:
Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration. CoRR abs/2409.03225 (2024) - [i41]Sifan Wu, Amir Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D. D. Willis, Bang Liu:
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches. CoRR abs/2409.17457 (2024) - 2023
- [j16]Shufeng Zhang, Yuxi Chen, Weizhen Liu, Bang Liu, Xiang Zhou:
Marbling-Net: A Novel Intelligent Framework for Pork Marbling Segmentation Using Images from Smartphones. Sensors 23(11): 5135 (2023) - [c53]Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu:
Identify Event Causality with Knowledge and Analogy. AAAI 2023: 13745-13753 - [c52]Zhong Zhang, Bang Liu, Junming Shao:
Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. ACL (1) 2023: 1701-1713 - [c51]Yu Song, Santiago Miret, Bang Liu:
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling. ACL (1) 2023: 3621-3639 - [c50]Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao:
Search-Oriented Conversational Query Editing. ACL (Findings) 2023: 4160-4172 - [c49]Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu:
SkillQG: Learning to Generate Question for Reading Comprehension Assessment. ACL (Findings) 2023: 13833-13850 - [c48]Wangjie Jiang, Zhihao Ye, Bang Liu, Ruihui Zhao, Jianguang Zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng:
ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification. EACL (Findings) 2023: 2230-2239 - [c47]Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao:
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. EMNLP (Findings) 2023: 3279-3304 - [c46]Yu Song, Santiago Miret, Huan Zhang, Bang Liu:
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science. EMNLP (Findings) 2023: 5724-5739 - [c45]Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev:
Efficient Classification of Long Documents via State-Space Models. EMNLP 2023: 6559-6565 - [c44]Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia:
DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization. ICCV 2023: 16964-16974 - [c43]Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen:
Can Pre-trained Language Models Understand Chinese Humor? WSDM 2023: 465-480 - [c42]Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao:
Learning Denoised and Interpretable Session Representation for Conversational Search. WWW 2023: 3193-3202 - [i40]Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu:
SkillQG: Learning to Generate Question for Reading Comprehension Assessment. CoRR abs/2305.04737 (2023) - [i39]Yu Song, Santiago Miret, Bang Liu:
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling. CoRR abs/2305.08264 (2023) - [i38]Zhong Zhang, Bang Liu, Junming Shao:
Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. CoRR abs/2305.17446 (2023) - [i37]Hossein Rajabzadeh, Suyuchen Wang, Hyock Ju Kwon, Bang Liu:
Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models. CoRR abs/2309.08922 (2023) - [i36]Yu Song, Santiago Miret, Huan Zhang, Bang Liu:
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science. CoRR abs/2310.08511 (2023) - [i35]Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu:
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games. CoRR abs/2312.00746 (2023) - 2022
- [j15]Qianren Mao, Xi Li, Bang Liu, Shu Guo, Peng Hao, Jianxin Li, Lihong Wang:
Attend and select: A segment selective transformer for microblog hashtag generation. Knowl. Based Syst. 254: 109581 (2022) - [j14]Bang Liu, Hanlin Zhang, Linglong Kong, Di Niu:
Factorizing Historical User Actions for Next-Day Purchase Prediction. ACM Trans. Web 16(1): 1:1-1:26 (2022) - [c41]Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu:
Feeding What You Need by Understanding What You Learned. ACL (1) 2022: 5858-5874 - [c40]Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng:
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. CIKM 2022: 4084-4088 - [c39]Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu:
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. CVPR 2022: 5079-5088 - [c38]Xueyao Jiang, Ailisi Li, Jiaqing Liang, Bang Liu, Rui Xie, Wei Wu, Zhixu Li, Yanghua Xiao:
Visualizable or Non-visualizable? Exploring the Visualizability of Concepts in Multi-modal Knowledge Graph. DASFAA (1) 2022: 180-187 - [c37]Junyang Huang, Xuantao Lu, Jiaqing Liang, Qiaoben Bao, Chen Huang, Yanghua Xiao, Bang Liu, Yunwen Chen:
Knowing What I Don't Know: A Generation Assisted Rejection Framework in Knowledge Base Question Answering. DASFAA (3) 2022: 238-246 - [c36]Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu:
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. EMNLP 2022: 562-581 - [c35]Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng:
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. EMNLP 2022: 3014-3026 - [c34]Yuyan Chen, Yanghua Xiao, Bang Liu:
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. ICDE 2022: 741-754 - [c33]Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao:
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. ICDE 2022: 3280-3293 - [c32]Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenhua Lin, Yefeng Zheng, Bang Liu:
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. ICDE 2022: 3426-3438 - [c31]Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu:
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR 2022 - [c30]Martin Weyssow, Houari A. Sahraoui, Bang Liu:
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning. ICSE (NIER) 2022: 21-25 - [c29]Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen:
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. KDD 2022: 4332-4341 - [c28]Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu:
CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) 2022: 212-224 - [c27]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c26]Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu:
QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. WWW 2022: 1008-1017 - [i34]Martin Weyssow, Houari A. Sahraoui, Bang Liu:
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning. CoRR abs/2201.03346 (2022) - [i33]Yuyan Chen, Yanghua Xiao, Bang Liu:
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. CoRR abs/2201.05088 (2022) - [i32]Zong-Kai Liu, Li-Hua Zhang, Bang Liu, Zheng-Yuan Zhang, Guang-Can Guo, Dong-Sheng Ding, Baosen Shi:
Deep learning enhanced Rydberg multifrequency microwave recognition. CoRR abs/2202.13617 (2022) - [i31]Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu:
Feeding What You Need by Understanding What You Learned. CoRR abs/2203.02753 (2022) - [i30]Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu:
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. CoRR abs/2203.09138 (2022) - [i29]Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao:
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. CoRR abs/2203.14921 (2022) - [i28]Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu:
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. CoRR abs/2204.13921 (2022) - [i27]Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu:
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR abs/2205.06454 (2022) - [i26]Ailisi Li, Xueyao Jiang, Bang Liu, Jiaqing Liang, Yanghua Xiao:
Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning. CoRR abs/2205.08274 (2022) - [i25]Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia:
DenseShift: Towards Accurate and Transferable Low-Bit Shift Network. CoRR abs/2208.09708 (2022) - [i24]Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng:
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. CoRR abs/2210.04242 (2022) - [i23]Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Siheng Li, Bang Liu, Yujiu Yang, Yefeng Zheng:
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. CoRR abs/2210.11720 (2022) - 2021
- [j13]Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo:
QBSUM: A large-scale query-based document summarization dataset from real-world applications. Comput. Speech Lang. 66: 101166 (2021) - [c25]Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin:
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. ACL/IJCNLP (Findings) 2021: 1474-1483 - [c24]Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng:
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. ACL/IJCNLP (1) 2021: 2238-2249 - [c23]Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng:
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. ACL/IJCNLP (1) 2021: 5968-5978 - [c22]Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu:
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. EMNLP (Findings) 2021: 2360-2369 - [c21]Lingfei Wu, Yu Chen, Heng Ji, Bang Liu:
Deep Learning on Graphs for Natural Language Processing. KDD 2021: 4084-4085 - [c20]Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng:
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management. NAACL-HLT 2021: 2993-3001 - [c19]Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia:
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS 2021: 14555-14566 - [c18]Lingfei Wu, Yu Chen, Heng Ji, Bang Liu:
Deep Learning on Graphs for Natural Language Processing. SIGIR 2021: 2651-2653 - [c17]Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu:
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. WWW 2021: 3291-3304 - [i22]Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu:
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. CoRR abs/2101.11268 (2021) - [i21]Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng:
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management. CoRR abs/2104.04748 (2021) - [i20]Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng:
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. CoRR abs/2105.11698 (2021) - [i19]Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng:
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. CoRR abs/2105.13066 (2021) - [i18]Tong Mo, Bang Liu:
Encoder-Decoder Neural Architecture Optimization for Keyword Spotting. CoRR abs/2106.02738 (2021) - [i17]Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu:
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. CoRR abs/2106.03151 (2021) - [i16]Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin:
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. CoRR abs/2106.03315 (2021) - [i15]Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia:
S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. CoRR abs/2107.03453 (2021) - [i14]Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu:
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. CoRR abs/2109.02867 (2021) - [i13]Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu:
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. CoRR abs/2110.06354 (2021) - [i12]Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen:
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. CoRR abs/2110.06892 (2021) - 2020
- [j12]Zhipeng Cheng, Ning Chen, Bang Liu, Zhibin Gao, Lianfen Huang, Xiaojiang Du, Mohsen Guizani:
Joint user association and resource allocation in HetNets based on user mobility prediction. Comput. Networks 177: 107312 (2020) - [j11]Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu:
Story Forest: Extracting Events and Telling Stories from Breaking News. ACM Trans. Knowl. Discov. Data 14(3): 31:1-31:28 (2020) - [c16]Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu:
GIANT: Scalable Creation of a Web-scale Ontology. SIGMOD Conference 2020: 393-409 - [c15]Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. WWW 2020: 2032-2043 - [i11]Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. CoRR abs/2002.00748 (2020) - [i10]Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu:
GIANT: Scalable Creation of a Web-scale Ontology. CoRR abs/2004.02118 (2020) - [i9]Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo:
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications. CoRR abs/2010.14108 (2020)
2010 – 2019
- 2019
- [c14]Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu:
Matching Article Pairs with Graphical Decomposition and Convolutions. ACL (1) 2019: 6284-6294 - [c13]Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu:
A User-Centered Concept Mining System for Query and Document Understanding at Tencent. KDD 2019: 1831-1841 - [c12]Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by LearningWhat not to Generate. WWW 2019: 1106-1118 - [i8]Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by Learning What not to Generate. CoRR abs/1902.10418 (2019) - [i7]Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu:
Multiresolution Graph Attention Networks for Relevance Matching. CoRR abs/1902.10580 (2019) - [i6]Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu:
A User-Centered Concept Mining System for Query and Document Understanding at Tencent. CoRR abs/1905.08487 (2019) - 2018
- [j10]Bang Liu, Xili Dai, Haigang Gong, Zihao Guo, Nianbo Liu, Xiaomin Wang, Ming Liu:
Deep Learning versus Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model. Mob. Inf. Syst. 2018: 5214067:1-5214067:9 (2018) - [j9]Bang Liu, Nianbo Liu, Guihai Chen, Xili Dai, Ming Liu:
A Low-Cost Vehicle Anti-Theft System Using Obsolete Smartphone. Mob. Inf. Syst. 2018: 6569826:1-6569826:16 (2018) - [c11]Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu:
Multiresolution Graph Attention Networks for Relevance Matching. CIKM 2018: 933-942 - [c10]Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu:
Matching Natural Language Sentences with Hierarchical Sentence Factorization. WWW 2018: 1237-1246 - [i5]Bang Liu, Ting Zhang, Di Niu, Jinghong Lin, Kunfeng Lai, Yu Xu:
Matching Long Text Documents via Graph Convolutional Networks. CoRR abs/1802.07459 (2018) - [i4]Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu:
Matching Natural Language Sentences with Hierarchical Sentence Factorization. CoRR abs/1803.00179 (2018) - [i3]Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu:
Growing Story Forest Online from Massive Breaking News. CoRR abs/1803.00189 (2018) - [i2]Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu:
Recover Fine-Grained Spatial Data from Coarse Aggregation. CoRR abs/1803.00192 (2018) - [i1]Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong:
House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis. CoRR abs/1803.00919 (2018) - 2017
- [j8]Yong Zheng, Dong-Yan Liu, Zheng-Wei Zhu, Hong-Lin Liu, Bang Liu:
Experimental Study on Slope Deformation Monitoring Based on a Combined Optical Fiber Transducer. J. Sensors 2017: 7936089:1-7936089:11 (2017) - [j7]Rui Zhu, Bang Liu, Di Niu, Zongpeng Li, Hong Vicky Zhao:
Network Latency Estimation for Personal Devices: A Matrix Completion Approach. IEEE/ACM Trans. Netw. 25(2): 724-737 (2017) - [c9]Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu:
Growing Story Forest Online from Massive Breaking News. CIKM 2017: 777-785 - [c8]Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, Cheng Huang:
Latency reduction and load balancing in coded storage systems. SoCC 2017: 365-377 - [c7]Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu:
Recover Fine-Grained Spatial Data from Coarse Aggregation. ICDM 2017: 961-966 - 2016
- [c6]Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong:
House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis. ICDM 2016: 1047-1052 - 2015
- [c5]Bang Liu, Di Niu, Zongpeng Li, H. Vicky Zhao:
Network latency prediction for personal devices: Distance-feature decomposition from 3D sampling. INFOCOM 2015: 307-315 - 2013
- [j6]Nianbo Liu, Yong Feng, Feng Wang, Bang Liu, Jinchuan Tang:
Mobility Crowdsourcing: Toward Zero-Effort Carpooling on Individual Smartphone. Int. J. Distributed Sens. Networks 9 (2013) - [j5]Ming Liu, Bang Liu, Yonggang Wen:
An Efficient Data Evacuation Strategy for Sensor Networks in Postdisaster Applications. Int. J. Distributed Sens. Networks 9 (2013) - [j4]Xing Zhang, Bang Liu, Jinchuan Tang:
A Study on the Tracking Problem in Vehicular Ad Hoc Networks. Int. J. Distributed Sens. Networks 9 (2013) - [j3]Jinqi Zhu, Yong Feng, Bang Liu:
PASS: Parking-Lot-Assisted Carpool over Vehicular Ad Hoc Networks. Int. J. Distributed Sens. Networks 9 (2013) - 2012
- [j2]Xing Zhang, Haigang Gong, Zongyi Xu, Jinchuan Tang, Bang Liu:
Jam Eyes: A Traffic Jam Awareness and Observation System Using Mobile Phones. Int. J. Distributed Sens. Networks 8 (2012) - [j1]Xing Zhang, Jidong Zhao, Jinchuan Tang, Bang Liu:
You Take Care of the Drive, I Take Care of the Rule: A Traffic-Rule Awareness System Using Vehicular Sensors and Mobile Phones. Int. J. Distributed Sens. Networks 8 (2012) - [c4]Xing Zhang, Haigang Gong, Kexiong Zeng, Jinchuan Tang, Nianbo Liu, Zongyi Xu, Bang Liu:
Let Me Take Care of Myself: A Vehicle Self-Gratification System Using Vehicular Sensors and Mobile Phones. MSN 2012: 195-202 - 2011
- [c3]Hao Wei, Jin Shao, Bang Liu, Haiwen Liu, Qianxiang Wang, Hong Mei:
A self-management approach for service developers of PaaS. SOSE 2011: 85-92
2000 – 2009
- 2005
- [c2]Bang Liu, Xuan Zeng, Yangfeng Su, Jun Tao, Zhaojun Bai, Charles C. Chiang, Dian Zhou:
Block SAPOR: block Second-order Arnoldi method for Passive Order Reduction of multi-input multi-output RCS interconnect circuits. ASP-DAC 2005: 244-249 - [c1]Xuan Zeng, Bang Liu, Jun Tao, Charles C. Chiang, Dian Zhou:
A novel wavelet method for noise analysis of nonlinear circuits. ASP-DAC 2005: 471-476
Coauthor Index
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