Jie Tang - RankMe

774 papers A* 178A 39B 13C 12Misc 2Journal 373Unranked 137

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Standards-Aligned Coordination Framework for Edge-Enhanced Collaborative Healthcare in 6G Networks. CoRR Liuwang Kang, Fan Wang, Yuzhang Huang, Shang Yan, Jianbin Zheng, Wenbin Lei, Konstantin Yakovlev, Jie Tang, Shaoshan Liu
2026	J	`jnl`	Advancing wearable gait-based identity recognition: multi-head attention and feature analysis for unconstrained environments and multiple sensor locations. Neural Comput. Appl. Tong He, Sijia Yi, Hui Zeng, Zijie Mei, Kamen Ivanov, Guocheng Yang, Lin Yang, Jie Tang, Zhanyong Mei
2026	J	`jnl`	Assessment of tibial shaft fracture healing using two-stage deep learning based on mRUST. Biomed. Signal Process. Control. Mingxia Gong, Jie Tang, Wenxuan Chen, Yufu Zhang, Xiao Han, Yi Chen, Weiyan Ren, Yubo Fan, Yan Xu, Fang Pu
2026	J	`jnl`	Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation. CoRR Yanzhi Tian, Cunxiang Wang, Zeming Liu, Heyan Huang, Wenbo Yu, Dawei Song, Jie Tang, Yuhang Guo
2026	—	`conf`	DiKGRec: Generative Recommender Model with Diffusion and Knowledge Graph-Based Reasoning. KDD (1) Zhuoxun Zheng, Baifan Zhou, Ahmet Soylu, Jie Tang, Evgeny Kharlamov
2026	J	`jnl`	GLM-OCR Technical Report. CoRR Shuaiqi Duan, Yadong Xue, Weihan Wang, Zhe Su, Huan Liu, Sheng Yang, Guobing Gan, Guo Wang, Zihan Wang, Shengdong Yan, Dexin Jin, Yuxuan Zhang, Guohong Wen, Yanfeng Wang, Yutao Zhang, Xiaohan Zhang, Wenyi Hong, Yukuo Cen, Da Yin, Bin Chen, Wenmeng Yu, Xiaotao Gu, Jie Tang
2026	J	`jnl`	Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training. IEEE Trans. Knowl. Data Eng. Yufei He, Zhenyu Hou, Yukuo Cen, Jun Hu, Feng He, Xu Cheng, Jie Tang, Bryan Hooi
2026	A*	`conf`	Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement. AAAI Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, Wangjie You, Jie Tang, Qingsong Liu, Yuhang Guo, Yangyang Kang
2026	J	`jnl`	IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse. CoRR Yushi Bai, Qian Dong, Ting Jiang, Xin Lv, Zhengxiao Du, Aohan Zeng, Jie Tang, Juanzi Li
2026	J	`jnl`	Knit: Toward Alleviating Large Language Model Fact Knowledge Hallucinations in Knowledge Graph Completion. Big Data Min. Anal. Jibing Gong, Xiaohan Fang, Wenhai Zhu, Jiquan Peng, Lin Wang, Mengpan Chen, Jiangtao Zhang, Jie Tang
2026	A*	`conf`	MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning. AAAI Jinhao Chen, Zhen Yang, Jianxin Shi, Tianyu Wo, Jie Tang
2026	J	`jnl`	PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries. CoRR Yi Zhao, Zhen Yang, Shuaiqi Duan, Wenmeng Yu, Zhe Su, Jibing Gong, Jie Tang
2026	J	`jnl`	RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension. CoRR Yelin Chen, Fanjin Zhang, Suping Sun, Yunhe Pang, Yuanchun Wang, Jian Song, Xiaoyan Li, Lei Hou, Shu Zhao, Jie Tang, Juanzi Li
2026	J	`jnl`	TraceSIR: A Multi-Agent Framework for Structured Analysis and Reporting of Agentic Execution Traces. CoRR Shu-Xun Yang, Cunxiang Wang, Haoke Zhang, Wenbo Yu, Lindong Wu, Jiayi Gui, Dayong Yang, Yukuo Cen, Zhuoer Feng, Bosi Wen, Yidong Wang, Lucen Zhong, Jiamin Ren, Linfeng Zhang, Jie Tang
2026	A*	`conf`	UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge. AAAI Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang
2026	J	`jnl`	Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification. CoRR Zehai He, Wenyi Hong, Zhen Yang, Ziyang Pan, Mingdao Liu, Xiaotao Gu, Jie Tang
2026	A*	`conf`	VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation. AAAI Jiazheng Xu, Yu Huang, Jiale Cheng, Yuanming Yang, Jiajun Xu, Yuan Wang, Wenbo Duan, Shen Yang, Qunlin Jin, Shurun Li, Jiayan Teng, Zhuoyi Yang, Wendi Zheng, Xiao Liu, Dan Zhang, Ming Ding, Xiaohan Zhang, Shiyu Huang, Xiaotao Gu, Minlie Huang, Jie Tang, Yuxiao Dong
2025	J	`jnl`	A Novel Continual Learning and Adaptive Sensing State Response-Based Target Recognition and Long-Term Tracking Framework for Smart Industrial Applications. Expert Syst. J. Knowl. Eng. Lu Chen, Gun Li, Jie Tang, Yang Li, Shenbing Fu, Haoyuan Ma, Yu Liu, Yuhao Yang, Weizhong Qian, Qinsheng Zhu, Amir Hussain
2025	A*	`conf`	A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models. ICML Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang
2025	J	`jnl`	A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models. CoRR Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang
2025	—	`conf`	A Survey of Post-Training Scaling in Large Language Models. ACL (1) Hanyu Lai, Xiao Liu, Junjie Gao, Jiale Cheng, Zehan Qi, Yifan Xu, Shuntian Yao, Dan Zhang, Jinhua Du, Zhenyu Hou, Xin Lv, Minlie Huang, Yuxiao Dong, Jie Tang
2025	J	`jnl`	Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling. CoRR Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong
2025	J	`jnl`	AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework. CoRR Hanchen Zhang, Xiao Liu, Bowen Lv, Xueqiao Sun, Bohao Jing, Iat Long Iong, Zhenyu Hou, Zehan Qi, Hanyu Lai, Yifan Xu, Rui Lu, Hongning Wang, Jie Tang, Yuxiao Dong
2025	—	`conf`	AndroidGen: Building an Android Language Agent under Data Scarcity. ACL (1) Hanyu Lai, Junjie Gao, Xiao Liu, Yifan Xu, Shudan Zhang, Yuxiao Dong, Jie Tang
2025	J	`jnl`	AndroidGen: Building an Android Language Agent under Data Scarcity. CoRR Hanyu Lai, Junjie Gao, Xiao Liu, Yifan Xu, Shudan Zhang, Yuxiao Dong, Jie Tang
2025	—	`conf`	AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents. ACL (1) Yifan Xu, Xiao Liu, Xueqiao Sun, Siyi Cheng, Hao Yu, Hanyu Lai, Shudan Zhang, Dan Zhang, Jie Tang, Yuxiao Dong
2025	—	`conf`	Applying DeepSeek to BioASQ Task 13B: Using Supervised Fine-Tuning and Few-Shot Learning. CLEF (Working Notes) Jie Tang, Hua Yang, Kai Xiong, Hanyang Li, Paulo Quaresma, Hongbin Yu, Wenbo Zhang, Mingzhou Song
2025	J	`jnl`	Can Large Language Models Master Complex Card Games? CoRR Wei Wang, Felix Henry, Junzhe Chen, Dan Zhang, Shiyu Huang, Evgeny Kharlamov, Jie Tang
2025	—	`conf`	CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis. ACL (1) Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang
2025	J	`jnl`	CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis. CoRR Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang
2025	A*	`conf`	CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning. ICLR Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang
2025	A*	`conf`	CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. ICLR Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Yuxuan Zhang, Weihan Wang, Yean Cheng, Bin Xu, Xiaotao Gu, Yuxiao Dong, Jie Tang
2025	J	`jnl`	ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario. CoRR Lucen Zhong, Zhengxiao Du, Xiaohan Zhang, Haiyi Hu, Jie Tang
2025	J	`jnl`	ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents. CoRR Hanyu Lai, Xiao Liu, Yanxiao Zhao, Han Xu, Hanchen Zhang, Bohao Jing, Yanyu Ren, Shuntian Yao, Yuxiao Dong, Jie Tang
2025	J	`jnl`	Data-Efficient RLVR via Off-Policy Influence Guidance. CoRR Erle Zhu, Dazhi Jiang, Yuan Wang, Xujun Li, Jiale Cheng, Yuxian Gu, Yilin Niu, Aohan Zeng, Jie Tang, Minlie Huang, Hongning Wang
2025	J	`jnl`	DataSciBench: An LLM Agent Benchmark for Data Science. CoRR Dan Zhang, Sining Zhoubian, Min Cai, Fengzu Li, Lekang Yang, Wei Wang, Tianjiao Dong, Ziniu Hu, Jie Tang, Yisong Yue
2025	J	`jnl`	DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL. CoRR Rui Lu, Zhenyu Hou, Zihan Wang, Hanchen Zhang, Xiao Liu, Yujiang Li, Shi Feng, Jie Tang, Yuxiao Dong
2025	J	`jnl`	Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability. CoRR Shizhan Liu, Xinran Deng, Zhuoyi Yang, Jiayan Teng, Xiaotao Gu, Jie Tang
2025	J	`jnl`	Document-Level Relation Extraction With Low Entity Redundancy Feature Map. IEEE Trans. Knowl. Data Eng. Rongen Yan, Depeng Dang, Keqin Peng, Yakun Li, Ye Tao, Lei Hou, Juanzi Li, Jie Tang
2025	—	`conf`	Dynamic Scaling of Unit Tests for Code Reward Modeling. ACL (1) Zeyao Ma, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang
2025	J	`jnl`	Dynamic Scaling of Unit Tests for Code Reward Modeling. CoRR Zeyao Ma, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang
2025	J	`jnl`	Enhanced Self-Attention-Based Rapid CNN for Detecting Dense Objects in Varying Illumination. Cogn. Comput. Lu Chen, Li Yang, Jie Tang, Haoyuan Ma, Liu Yu, Shenbing Wu, Junkang Wang, Hao Wu, Gun Li
2025	J	`jnl`	GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning. CoRR Wenyi Hong, Wenmeng Yu, Xiaotao Gu, Guo Wang, Guobing Gan, Haomiao Tang, Jiale Cheng, Ji Qi, Junhui Ji, Lihang Pan, Shuaiqi Duan, Weihan Wang, Yan Wang, Yean Cheng, Zehai He, Zhe Su, Zhen Yang, Ziyang Pan, Aohan Zeng, Baoxu Wang, Boyan Shi, Changyu Pang, Chenhui Zhang, Da Yin, Fan Yang, Guoqing Chen, Jiazheng Xu, Jiali Chen, Jing Chen, Jinhao Chen, Jinghao Lin, Jinjiang Wang, Junjie Chen, Leqi Lei, Letian Gong, Leyi Pan, Mingzhi Zhang, Qinkai Zheng, Sheng Yang, Shi Zhong, Shiyu Huang, Shuyuan Zhao, Siyan Xue, Shangqin Tu, Shengbiao Meng, Tianshu Zhang, Tianwei Luo, Tianxiang Hao, Wenkai Li, Wei Jia, Xin Lyu, Xuancheng Huang, Yanling Wang, Yadong Xue, Yanfeng Wang, Yifan An, Yifan Du, Yiming Shi, Yiheng Huang, Yilin Niu, Yuan Wang, Yuanchang Yue, Yuchen Li, Yutao Zhang, Yuxuan Zhang, Zhanxiao Du, Zhenyu Hou, Zhao Xue, Zhengxiao Du, Zihan Wang, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Minlie Huang, Yuxiao Dong, Jie Tang
2025	J	`jnl`	GLM-TTS Technical Report. CoRR Jiayan Cui, Zhihan Yang, Naihan Li, Jiankun Tian, Xingyu Ma, Yi Zhang, Guangyu Chen, Runxuan Yang, Yuqing Cheng, Yizhi Zhou, Guochen Yu, Xiaotao Gu, Jie Tang
2025	J	`jnl`	Glyph: Scaling Context Windows via Visual-Text Compression. CoRR Jiale Cheng, Yusen Liu, Xinyu Zhang, Yulin Fei, Wenyi Hong, Ruiliang Lyu, Weihan Wang, Zhe Su, Xiaotao Gu, Xiao Liu, Yushi Bai, Jie Tang, Hongning Wang, Minlie Huang
2025	—	`conf`	GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model. KDD (2) Yunhe Pang, Bo Chen, Fanjin Zhang, Yanghui Rao, Evgeny Kharlamov, Jie Tang
2025	—	`conf`	HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. ACL (Findings) Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang
2025	J	`jnl`	HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. CoRR Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang
2025	J	`jnl`	Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. CoRR Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tang, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi
2025	J	`jnl`	Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement. CoRR Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, Wangjie You, Jie Tang, Qingsong Liu, Yuhang Guo, Yangyang Kang
2025	J	`jnl`	Kaleido: Open-Sourced Multi-Subject Reference Video Generation Model. CoRR Zhenxing Zhang, Jiayan Teng, Zhuoyi Yang, Tiankun Cao, Cheng Wang, Xiaotao Gu, Jie Tang, Dan Guo, Meng Wang
2025	J	`jnl`	LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. IEEE Trans. Knowl. Data Eng. Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang
2025	J	`jnl`	LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges. CoRR Xu Cheng, Liang Yao, Feng He, Yukuo Cen, Yufei He, Chenhui Zhang, Wenzheng Feng, Hongyun Cai, Jie Tang
2025	—	`conf`	LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. ACL (Findings) Jiayi Gui, Yiming Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang
2025	—	`conf`	LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks. ACL (1) Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
2025	—	`conf`	LongSafety: Evaluating Long-Context Safety of Large Language Models. ACL (1) Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
2025	J	`jnl`	LongSafety: Evaluating Long-Context Safety of Large Language Models. CoRR Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
2025	A*	`conf`	LongWriter: Unleashing 10, 000+ Word Generation from Long Context LLMs. ICLR Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
2025	J	`jnl`	MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations. ACM Trans. Inf. Syst. Dan Zhang, Shaojie Zheng, Yifan Zhu, Huihui Yuan, Jibing Gong, Jie Tang
2025	J	`jnl`	MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning. CoRR Jinhao Chen, Zhen Yang, Jianxin Shi, Tianyu Wo, Jie Tang
2025	A*	`conf`	MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models. CVPR Wenyi Hong, Yean Cheng, Zhuoyi Yang, Weihan Wang, Lefan Wang, Xiaotao Gu, Shiyu Huang, Yuxiao Dong, Jie Tang
2025	J	`jnl`	MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models. CoRR Wenyi Hong, Yean Cheng, Zhuoyi Yang, Weihan Wang, Lefan Wang, Xiaotao Gu, Shiyu Huang, Yuxiao Dong, Jie Tang
2025	J	`jnl`	Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? CoRR Yikun Li, Ngoc Tan Bui, Ting Zhang, Martin Weyssow, Chengran Yang, Xin Zhou, Jinfeng Jiang, Junkai Chen, Huihui Huang, Huu Hung Nguyen, Chiok Yew Ho, Jie Tang, Ruiyin Li, Yide Yin, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	Parameter-Efficient Fine-Tuning for Foundation Models. CoRR Dan Zhang, Tao Feng, Lilong Xue, Yuandong Wang, Yuxiao Dong, Jie Tang
2025	J	`jnl`	ProtGO: universal protein function prediction utilizing multi-modal gene ontology knowledge. Bioinform. Boyan Wang, Yangliao Geng, Xingyi Cheng, Bo Chen, Zhilei Bei, Wei Wang, Jie Tang, Le Song
2025	J	`jnl`	RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts. CoRR Yu Zhang, Shujun Peng, Nengwu Wu, Xinhan Lin, Yang Hu, Jie Tang
2025	J	`jnl`	ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding. CoRR Sining Zhoubian, Dan Zhang, Yuxiao Dong, Jie Tang
2025	J	`jnl`	SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations. CoRR Wenhao Yan, Sheng Ye, Zhuoyi Yang, Jiayan Teng, Zhen-Hui Dong, Kairui Wen, Xiaotao Gu, Yong-Jin Liu, Jie Tang
2025	J	`jnl`	SIRI: Scaling Iterative Reinforcement Learning with Interleaved Compression. CoRR Haoming Wen, Yushi Bai, Juanzi Li, Jie Tang
2025	A*	`conf`	SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. ICLR Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
2025	—	`conf`	SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling. ACL (Findings) Haoran Wang, Zhenyu Hou, Yao Wei, Jie Tang, Yuxiao Dong
2025	J	`jnl`	SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling. CoRR Haoran Wang, Zhenyu Hou, Yao Wei, Jie Tang, Yuxiao Dong
2025	A*	`conf`	Scaling Speech-Text Pre-training with Synthetic Interleaved Data. ICLR Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang
2025	A*	`conf`	Small Language Model Makes an Effective Long Text Extractor. AAAI Yelin Chen, Fanjin Zhang, Jie Tang
2025	J	`jnl`	Small Language Model Makes an Effective Long Text Extractor. CoRR Yelin Chen, Fanjin Zhang, Jie Tang
2025	—	`conf`	SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking. KDD (1) Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang
2025	J	`jnl`	StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error. CoRR Shuxun Yang, Cunxiang Wang, Yidong Wang, Xiaotao Gu, Minlie Huang, Jie Tang
2025	A*	`conf`	T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling. ICML Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong
2025	J	`jnl`	TDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference. CoRR Dan Zhang, Min Cai, Jonathan Light, Ziniu Hu, Yisong Yue, Jie Tang
2025	—	`conf`	TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios. ACL (Findings) Xiaokang Zhang, Sijia Luo, Bohan Zhang, Zeyao Ma, Jing Zhang, Yang Li, Guanlin Li, Zijun Yao, Kangli Xu, Jinchang Zhou, Daniel Zhang-Li, Jifan Yu, Shu Zhao, Juanzi Li, Jie Tang
2025	J	`jnl`	The superalignment of superhuman intelligence with large language models. Sci. China Inf. Sci. Minlie Huang, Yingkang Wang, Shiyao Cui, Pei Ke, Jie Tang
2025	—	`conf`	TreeRL: LLM Reinforcement Learning with On-Policy Tree Search. ACL (1) Zhenyu Hou, Ziniu Hu, Yujiang Li, Rui Lu, Jie Tang, Yuxiao Dong
2025	J	`jnl`	TreeRL: LLM Reinforcement Learning with On-Policy Tree Search. CoRR Zhenyu Hou, Ziniu Hu, Yujiang Li, Rui Lu, Jie Tang, Yuxiao Dong
2025	J	`jnl`	UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge. CoRR Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang
2025	J	`jnl`	UI2CodeN: A Visual Language Model for Test-Time Scalable Interactive UI-to-Code Generation. CoRR Zhen Yang, Wenyi Hong, Mingde Xu, Xinyue Fan, Weihan Wang, Jiele Cheng, Xiaotao Gu, Jie Tang
2025	A*	`conf`	Understanding the Stability-based Generalization of Personalized Federated Learning. ICLR Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao
2025	J	`jnl`	VPO: Aligning Text-to-Video Generation Models with Prompt Optimization. CoRR Jiale Cheng, Ruiliang Lyu, Xiaotao Gu, Xiao Liu, Jiazheng Xu, Yida Lu, Jiayan Teng, Zhuoyi Yang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
2025	A*	`conf`	VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. ICLR Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Xixuan Song, Yifan Xu, Shudan Zhang, Hanyu Lai, Jiadai Sun, Xinyue Yang, Yu Yang, Zehan Qi, Shuntian Yao, Xueqiao Sun, Siyi Cheng, Qinkai Zheng, Hao Yu, Hanchen Zhang, Wenyi Hong, Ming Ding, Lihang Pan, Xiaotao Gu, Aohan Zeng, Zhengxiao Du, Chan Hee Song, Yu Su, Yuxiao Dong, Jie Tang
2025	J	`jnl`	WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System. ACM Trans. Inf. Syst. Hanyu Lai, Xiao Liu, Hao Yu, Yifan Xu, Iat Long Iong, Shuntian Yao, Aohan Zeng, Zhengxiao Du, Yuxiao Dong, Jie Tang
2025	A*	`conf`	WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning. ICLR Zehan Qi, Xiao Liu, Iat Long Iong, Hanyu Lai, Xueqiao Sun, Jiadai Sun, Xinyue Yang, Yu Yang, Shuntian Yao, Wei Xu, Jie Tang, Yuxiao Dong
2025	J	`jnl`	WebVIA: A Web-based Vision-Language Agentic Framework for Interactive and Verifiable UI-to-Code Generation. CoRR Mingde Xu, Zhen Yang, Wenyi Hong, Lihang Pan, Xinyue Fan, Yan Wang, Xiaotao Gu, Bin Xu, Jie Tang
2025	A*	`conf`	ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. ICML Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang
2025	J	`jnl`	ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. CoRR Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang
2024	J	`jnl`	A Solution-based LLM API-using Methodology for Academic Information Seeking. CoRR Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang
2024	J	`jnl`	APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding. CoRR Mingdao Liu, Aohan Zeng, Bowen Wang, Peng Zhang, Jie Tang, Yuxiao Dong
2024	A*	`conf`	AgentBench: Evaluating LLMs as Agents. ICLR Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang
2024	—	`conf`	AgentTuning: Enabling Generalized Agent Abilities for LLMs. ACL (Findings) Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang
2024	J	`jnl`	Algorithm 1043: Faster Randomized SVD with Dynamic Shifts. ACM Trans. Math. Softw. Xu Feng, Wenjian Yu, Yuyang Xie, Jie Tang
2024	J	`jnl`	Algorithm xxx: Faster Randomized SVD with Dynamic Shifts. CoRR Xu Feng, Wenjian Yu, Yuyang Xie, Jie Tang
2024	—	`conf`	AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
2024	J	`jnl`	AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents. CoRR Yifan Xu, Xiao Liu, Xueqiao Sun, Siyi Cheng, Yun-Hao Liu, Hanyu Lai, Shudan Zhang, Dan Zhang, Jie Tang, Yuxiao Dong
2024	—	`conf`	AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. EMNLP (Findings) Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
2024	J	`jnl`	AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. CoRR Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
2024	J	`jnl`	AutoGLM: Autonomous Foundation Agents for GUIs. CoRR Xiao Liu, Bo Qin, Dongzhu Liang, Guang Dong, Hanyu Lai, Hanchen Zhang, Hanlin Zhao, Iat Long Iong, Jiadai Sun, Jiaqi Wang, Junjie Gao, Junjun Shan, Kangning Liu, Shudan Zhang, Shuntian Yao, Siyi Cheng, Wentao Yao, Wenyi Zhao, Xinghan Liu, Xinyi Liu, Xinying Chen, Xinyue Yang, Yang Yang, Yifan Xu, Yu Yang, Yujia Wang, Yulin Xu, Zehan Qi, Yuxiao Dong, Jie Tang
2024	—	`conf`	AutoRE: Document-Level Relation Extraction with Large Language Models. ACL (3) Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang
2024	J	`jnl`	AutoRE: Document-Level Relation Extraction with Large Language Models. CoRR Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang
2024	A*	`conf`	AutoWebGLM: A Large Language Model-based Web Navigating Agent. KDD Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang
2024	J	`jnl`	AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent. CoRR Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang
2024	A*	`conf`	BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. WWW Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang
2024	J	`jnl`	BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. CoRR Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang
2024	J	`jnl`	BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems. CoRR Wei Wang, Dan Zhang, Tao Feng, Boyan Wang, Jie Tang
2024	A*	`conf`	Benchmarking Complex Instruction-Following with Multiple Constraints Composition. NeurIPS Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxing Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang
2024	J	`jnl`	Benchmarking Complex Instruction-Following with Multiple Constraints Composition. CoRR Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang
2024	—	`conf`	Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. ACL (1) Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang
2024	A*	`conf`	Challenges Toward AGI and Its Impact to the Web. WWW Bo Zhang, Jie Tang
2024	—	`conf`	CharacterGLM: Customizing Social Characters with Large Language Models. EMNLP (Industry Track) Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
2024	—	`conf`	ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. EMNLP (Findings) Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong
2024	J	`jnl`	ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. CoRR Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong
2024	J	`jnl`	ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. CoRR Zhenyu Hou, Yilin Niu, Zhengxiao Du, Xiaohan Zhang, Xiao Liu, Aohan Zeng, Qinkai Zheng, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong
2024	J	`jnl`	ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. CoRR Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang
2024	A*	`conf`	CogAgent: A Visual Language Model for GUI Agents. CVPR Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxiao Dong, Ming Ding, Jie Tang
2024	J	`jnl`	CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations. CoRR Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang
2024	J	`jnl`	CogVLM2: Visual Language Models for Image and Video Understanding. CoRR Wenyi Hong, Weihan Wang, Ming Ding, Wenmeng Yu, Qingsong Lv, Yan Wang, Yean Cheng, Shiyu Huang, Junhui Ji, Zhao Xue, Lei Zhao, Zhuoyi Yang, Xiaotao Gu, Xiaohan Zhang, Guanyu Feng, Da Yin, Zihan Wang, Ji Qi, Xixuan Song, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Yuxiao Dong, Jie Tang
2024	A*	`conf`	CogVLM: Visual Expert for Pretrained Language Models. NeurIPS Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Keqin Chen, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang
2024	J	`jnl`	CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. CoRR Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Xiaotao Gu, Yuxuan Zhang, Weihan Wang, Yean Cheng, Ting Liu, Bin Xu, Yuxiao Dong, Jie Tang
2024	—	`conf`	CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. ECCV (77) Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang
2024	J	`jnl`	CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. CoRR Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang
2024	—	`conf`	CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. ACL (1) Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
2024	J	`jnl`	Does Negative Sampling Matter? A Review with Insights into its Theory and Applications. CoRR Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang
2024	J	`jnl`	Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang
2024	J	`jnl`	Does RLHF Scale? Exploring the Impacts From Data, Model, and Method. CoRR Zhenyu Hou, Pengfan Du, Yilin Niu, Zhengxiao Du, Aohan Zeng, Xiao Liu, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong
2024	J	`jnl`	DreamPolish: Domain Score Distillation With Progressive Geometry Generation. CoRR Yean Cheng, Ziqi Cai, Ming Ding, Wendi Zheng, Shiyu Huang, Yuxiao Dong, Jie Tang, Boxin Shi
2024	J	`jnl`	DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction. IEEE Trans. Knowl. Data Eng. Dan Zhang, Wenzheng Feng, Yuandong Wang, Zhongang Qi, Ying Shan, Jie Tang
2024	J	`jnl`	Extensive Self-Contrast Enables Feedback-Free Language Model Alignment. CoRR Xiao Liu, Xixuan Song, Yuxiao Dong, Jie Tang
2024	J	`jnl`	GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot. CoRR Aohan Zeng, Zhengxiao Du, Mingdao Liu, Kedong Wang, Shengmin Jiang, Lei Zhao, Yuxiao Dong, Jie Tang
2024	J	`jnl`	GPT understands, too. AI Open Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang
2024	A*	`conf`	Generative AI Day. KDD Jie Tang, Yuxiao Dong, Michalis Vazirgiannis
2024	J	`jnl`	Gift Contagion in Online Groups: Evidence from Virtual Red Packets. Manag. Sci. Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex 'Sandy' Pentland, Jie Tang
2024	J	`jnl`	GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment. CoRR Zhenyu Hou, Haozhan Li, Yukuo Cen, Jie Tang, Yuxiao Dong
2024	—	`conf`	Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer. ECCV (83) Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang
2024	J	`jnl`	Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer. CoRR Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang
2024	A*	`conf`	KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
2024	J	`jnl`	LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. CoRR Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang
2024	J	`jnl`	LVBench: An Extreme Long Video Understanding Benchmark. CoRR Weihan Wang, Zehai He, Wenyi Hong, Yean Cheng, Xiaohan Zhang, Ji Qi, Shiyu Huang, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang
2024	J	`jnl`	LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. CoRR Jiayi Gui, Yiming Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang
2024	—	`conf`	LongAlign: A Recipe for Long Context Alignment of Large Language Models. EMNLP (Findings) Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li
2024	J	`jnl`	LongAlign: A Recipe for Long Context Alignment of Large Language Models. CoRR Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li
2024	J	`jnl`	LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks. CoRR Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
2024	—	`conf`	LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. ACL (1) Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
2024	A*	`conf`	LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. EMNLP Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang
2024	J	`jnl`	LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. CoRR Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang
2024	J	`jnl`	LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs. CoRR Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
2024	J	`jnl`	MIND: Effective Incorrect Assignment Detection through a Multi-Modal Structure-Enhanced Language Model. CoRR Yunhe Pang, Bo Chen, Fanjin Zhang, Yanghui Rao, Jie Tang
2024	A*	`conf`	MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. NeurIPS Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song
2024	J	`jnl`	MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. CoRR Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song
2024	J	`jnl`	MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model. CoRR Zhen Yang, Jinhao Chen, Zhengxiao Du, Wenmeng Yu, Weihan Wang, Wenyi Hong, Zhihuan Jiang, Bin Xu, Yuxiao Dong, Jie Tang
2024	A*	`conf`	Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. EMNLP Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su
2024	J	`jnl`	Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. CoRR Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su
2024	J	`jnl`	Multi-turn Response Selection with Commonsense-enhanced Language Models. CoRR Yuandong Wang, Xuhui Ren, Tong Chen, Yuxiao Dong, Nguyen Quoc Viet Hung, Jie Tang
2024	—	`conf`	NOMA Assisted Semi-Grant-Free Transmission in UAV Networks with Multi-User Scheduling. VTC Spring Junlin Huang, Huabing Lu, Jie Tang, Nan Zhao, Zhaoyuan Shi, Xianbin Wang
2024	J	`jnl`	NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts. CoRR Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Xiaohan Zhang, Yuxiao Dong, Jie Tang
2024	—	`conf`	NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries. ACL (Findings) Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Yuxiao Dong, Jie Tang
2024	A*	`conf`	OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. KDD Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang
2024	J	`jnl`	OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. CoRR Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang
2024	—	`conf`	OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models. ACL (3) Iat Long Iong, Xiao Liu, Yuxuan Chen, Hanyu Lai, Shuntian Yao, Pengbo Shen, Hao Yu, Yuxiao Dong, Jie Tang
2024	J	`jnl`	PST-Bench: Tracing and Benchmarking the Source of Publications. CoRR Fanjin Zhang, Kun Cao, Yukuo Cen, Jifan Yu, Da Yin, Jie Tang
2024	J	`jnl`	Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognit. Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang
2024	A*	`conf`	Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. KDD Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang
2024	J	`jnl`	Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. CoRR Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang
2024	A*	`conf`	ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search. NeurIPS Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang
2024	J	`jnl`	ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search. CoRR Dan Zhang, Sining Zhoubian, Yisong Yue, Yuxiao Dong, Jie Tang
2024	A*	`conf`	RecDCL: Dual Contrastive Learning for Recommendation. WWW Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang
2024	J	`jnl`	RecDCL: Dual Contrastive Learning for Recommendation. CoRR Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang
2024	A*	`conf`	Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. ICLR Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
2024	—	`conf`	Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. ACL (Findings) Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang
2024	J	`jnl`	SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. CoRR Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
2024	—	`conf`	SafetyBench: Evaluating the Safety of Large Language Models. ACL (1) Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang
2024	J	`jnl`	Scaling Speech-Text Pre-training with Synthetic Interleaved Data. CoRR Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang
2024	J	`jnl`	SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning. CoRR Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang
2024	A*	`conf`	SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models. NeurIPS Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang
2024	A*	`conf`	SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation. NeurIPS Zeyao Ma, Bohan Zhang, Jing Zhang, Jifan Yu, Xiaokang Zhang, Xiaohan Zhang, Sijia Luo, Xi Wang, Jie Tang
2024	J	`jnl`	SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation. CoRR Zeyao Ma, Bohan Zhang, Jing Zhang, Jifan Yu, Xiaokang Zhang, Xiaohan Zhang, Sijia Luo, Xi Wang, Jie Tang
2024	J	`jnl`	TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios. CoRR Xiaokang Zhang, Jing Zhang, Zeyao Ma, Yang Li, Bohan Zhang, Guanlin Li, Zijun Yao, Kangli Xu, Jinchang Zhou, Daniel Zhang-Li, Jifan Yu, Shu Zhao, Juanzi Li, Jie Tang
2024	A*	`conf`	The First Workshop on AI Behavioral Science. KDD Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie
2024	A*	`conf`	The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang
2024	J	`jnl`	The Superalignment of Superhuman Intelligence with Large Language Models. CoRR Minlie Huang, Yingkang Wang, Shiyao Cui, Pei Ke, Jie Tang
2024	A*	`conf`	Towards Efficient Exact Optimization of Language Model Alignment. ICML Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang
2024	J	`jnl`	Towards Efficient and Exact Optimization of Language Model Alignment. CoRR Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang
2024	A*	`conf`	Training Compute-Optimal Protein Language Models. NeurIPS Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song
2024	J	`jnl`	Training Compute-Optimal Protein Language Models. CoRR Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song
2024	—	`conf`	Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. ACL (1) Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang
2024	J	`jnl`	Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. CoRR Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang
2024	A*	`conf`	TriSampler: A Better Negative Sampling Principle for Dense Retrieval. AAAI Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang
2024	J	`jnl`	TriSampler: A Better Negative Sampling Principle for Dense Retrieval. CoRR Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang
2024	A*	`conf`	Understanding Emergent Abilities of Language Models from the Loss Perspective. NeurIPS Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang
2024	J	`jnl`	Understanding Emergent Abilities of Language Models from the Loss Perspective. CoRR Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang
2024	J	`jnl`	VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning. CoRR Zhihuan Jiang, Zhen Yang, Jinhao Chen, Zhengxiao Du, Weihan Wang, Bin Xu, Yuxiao Dong, Jie Tang
2024	J	`jnl`	VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation. CoRR Jiazheng Xu, Yu Huang, Jiale Cheng, Yuanming Yang, Jiajun Xu, Yuan Wang, Wenbo Duan, Shen Yang, Qunlin Jin, Shurun Li, Jiayan Teng, Zhuoyi Yang, Wendi Zheng, Xiao Liu, Ming Ding, Xiaohan Zhang, Xiaotao Gu, Shiyu Huang, Minlie Huang, Jie Tang, Yuxiao Dong
2024	J	`jnl`	VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. CoRR Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Yifan Xu, Xixuan Song, Shudan Zhang, Hanyu Lai, Xinyi Liu, Hanlin Zhao, Jiadai Sun, Xinyue Yang, Yu Yang, Zehan Qi, Shuntian Yao, Xueqiao Sun, Siyi Cheng, Qinkai Zheng, Hao Yu, Hanchen Zhang, Wenyi Hong, Ming Ding, Lihang Pan, Xiaotao Gu, Aohan Zeng, Zhengxiao Du, Chan Hee Song, Yu Su, Yuxiao Dong, Jie Tang
2024	A	`conf`	WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang
2024	J	`jnl`	WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning. CoRR Zehan Qi, Xiao Liu, Iat Long Iong, Hanyu Lai, Xueqiao Sun, Wenyi Zhao, Yu Yang, Xinyue Yang, Jiadai Sun, Shuntian Yao, Tianjie Zhang, Wei Xu, Jie Tang, Yuxiao Dong
2024	J	`jnl`	xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein. CoRR Bo Chen, Xingyi Cheng, Pan Li, Yangli-ao Geng, Jing Gong, Shen Li, Zhilei Bei, Xu Tan, Boyan Wang, Xin Zeng, Chiming Liu, Aohan Zeng, Yuxiao Dong, Jie Tang, Le Song
2023	J	`jnl`	AgentBench: Evaluating LLMs as Agents. CoRR Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang
2023	J	`jnl`	AgentTuning: Enabling Generalized Agent Abilities for LLMs. CoRR Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang
2023	J	`jnl`	AlignBench: Benchmarking Chinese Alignment of Large Language Models. CoRR Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
2023	A*	`conf`	ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. WWW Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang
2023	—	`conf`	Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method. ACL (Findings) Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang
2023	J	`jnl`	Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method. CoRR Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang
2023	J	`jnl`	Automated Unsupervised Graph Representation Learning. IEEE Trans. Knowl. Data Eng. Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang
2023	A*	`conf`	BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. KDD Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
2023	J	`jnl`	BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. CoRR Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
2023	J	`jnl`	Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. CoRR Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang
2023	J	`jnl`	CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models. CoRR Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Jie Tang, Minlie Huang
2023	A*	`conf`	CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. KDD Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang
2023	J	`jnl`	CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X. CoRR Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang
2023	J	`jnl`	CogAgent: A Visual Language Model for GUI Agents. CoRR Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxuan Zhang, Juanzi Li, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang
2023	A*	`conf`	CogDL: A Comprehensive Library for Graph Deep Learning. WWW Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
2023	J	`jnl`	CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang
2023	J	`jnl`	CogVLM: Visual Expert for Pretrained Language Models. CoRR Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang
2023	A*	`conf`	CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers. ICLR Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang
2023	—	`ed.`	Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 WWW (Companion Volume) Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben
2023	J	`jnl`	CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation. CoRR Pei Ke, Bosi Wen, Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
2023	J	`jnl`	Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images. Medical Biol. Eng. Comput. Alexandre Boulenger, Yanwen Luo, Chenhui Zhang, Chenyang Zhao, Yuanjing Gao, Mengsu Xiao, Qingli Zhu, Jie Tang
2023	A	`conf`	Detecting Social Bot on the Fly using Contrastive Learning. CIKM Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Jie Tang
2023	—	`conf`	FFAEval: Evaluating Dialogue System via Free-For-All Ranking. EMNLP (Findings) Zeyao Ma, Zijun Yao, Jing Zhang, Jifan Yu, Xiaohan Zhang, Juanzi Li, Jie Tang
2023	J	`jnl`	GCCAD: Graph Contrastive Coding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang
2023	—	`conf`	GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. ACL (industry) Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang
2023	J	`jnl`	GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. CoRR Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Yang Yang, Hongyin Tang, Keqing He, Jiahao Liu, Jingang Wang, Shu Zhao, Peng Zhang, Jie Tang
2023	A*	`conf`	GLM-130B: An Open Bilingual Pre-trained Model. ICLR Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang
2023	A*	`conf`	GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation. KDD Jing Zhang, Xiaokang Zhang, Daniel Zhang-Li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Juanzi Li, Jie Tang
2023	J	`jnl`	GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation. CoRR Jing Zhang, Xiaokang Zhang, Daniel Zhang-Li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Juanzi Li, Jie Tang
2023	A	`conf`	GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. CIKM Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li, Jie Tang
2023	J	`jnl`	GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. CoRR Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Yuxiao Dong, Bin Xu, Lei Hou, Juanzi Li, Jie Tang, Weidong Guo, Hui Liu, Yu Xu
2023	J	`jnl`	GPT Can Solve Mathematical Problems Without a Calculator. CoRR Zhen Yang, Ming Ding, Qingsong Lv, Zhihuan Jiang, Zehai He, Yuyi Guo, Jinfeng Bai, Jie Tang
2023	A*	`conf`	GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. WWW Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang
2023	J	`jnl`	GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. CoRR Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang
2023	J	`jnl`	HINChip: Heterogeneous Information Network Representation with Community Hierarchy Preserving. Knowl. Based Syst. Huan-jing Zhao, Pinde Rui, Jie Chen, Yanping Zhang, Yi Wang, Shu Zhao, Jie Tang
2023	J	`jnl`	Hierarchical Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu
2023	A*	`conf`	ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation. NeurIPS Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong
2023	J	`jnl`	ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation. CoRR Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong
2023	J	`jnl`	Improved the heterodimer protein complex prediction with protein language models. Briefings Bioinform. Bo Chen, Ziwei Xie, Jiezhong Qiu, Zhaofeng Ye, Jinbo Xu, Jie Tang
2023	J	`jnl`	KoLA: Carefully Benchmarking World Knowledge of Large Language Models. CoRR Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
2023	J	`jnl`	LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. CoRR Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
2023	J	`jnl`	MRT: Tracing the Evolution of Scientific Publications. IEEE Trans. Knowl. Data Eng. Da Yin, Weng Lam Tam, Ming Ding, Jie Tang
2023	A*	`conf`	MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis. AAAI Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, Jie Tang
2023	A*	`conf`	Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). ICDE Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang
2023	A*	`conf`	MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. SIGIR Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang
2023	J	`jnl`	MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. CoRR Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang
2023	J	`jnl`	OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs. IEEE Trans. Knowl. Data Eng. Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, Kuansan Wang
2023	J	`jnl`	OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs. IEEE Trans. Knowl. Data Eng. Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, Kuansan Wang
2023	—	`conf`	Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. EMNLP (Findings) Weng Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Jiahua Liu, Tao Li, Yuxiao Dong, Jie Tang
2023	J	`jnl`	Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun
2023	A*	`ed.`	Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 WWW Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben
2023	J	`jnl`	Quantitative Validation of the Correlation Between Optimized Pyramidal Tract Delineation After Brain Shift Compensation and Direct Electrical Subcortical Stimulation During Brain Tumor Surgery. J. Imaging Inform. Medicine Ye Li, Yuanzheng Hou, Xiaoyan Li, Qiongge Li, Jie Lu, Jie Tang
2023	J	`jnl`	Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. IEEE Trans. Knowl. Data Eng. Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang
2023	J	`jnl`	Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. ACM Trans. Web Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang
2023	J	`jnl`	Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. CoRR Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
2023	C	`conf`	Research and device development based on broadband and wide-range current transformer compensation technology. iSPEC Dongguo Liu, Fang Zhao, Fuzhou Zhang, Wen Chen, Jixiang Wang, Gang Liu, Li Yi, Jie Tang, Haibin Wang, Jing Xu
2023	J	`jnl`	Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. CoRR Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang
2023	J	`jnl`	SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions. CoRR Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang
2023	J	`jnl`	Self-Supervised Learning: Generative or Contrastive. IEEE Trans. Knowl. Data Eng. Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, Jie Tang
2023	—	`conf`	Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. ECML/PKDD (6) Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang
2023	J	`jnl`	SketchNE: Embedding Billion-Scale Networks Accurately in One Hour. IEEE Trans. Knowl. Data Eng. Yuyang Xie, Yuxiao Dong, Jiezhong Qiu, Wenjian Yu, Xu Feng, Jie Tang
2023	J	`jnl`	Towards Lightweight and Automated Representation Learning System for Networks. CoRR Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang
2023	J	`jnl`	Towards Lightweight and Automated Representation Learning System for Networks. IEEE Trans. Knowl. Data Eng. Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang
2023	A*	`conf`	Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit. KDD Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang
2023	J	`jnl`	Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit. CoRR Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang
2023	A*	`conf`	WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. KDD Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang
2023	J	`jnl`	WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. CoRR Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang
2023	A*	`conf`	WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. KDD Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang
2022	B	`conf`	BaGuaLu: targeting brain scale pretrained models with over 37 million cores. PPoPP Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen
2022	A*	`conf`	CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking. AAAI Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang
2022	J	`jnl`	CONNA: Addressing Name Disambiguation on the Fly. IEEE Trans. Knowl. Data Eng. Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li
2022	J	`jnl`	CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers. CoRR Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang
2022	A*	`conf`	CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers. NeurIPS Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang
2022	J	`jnl`	CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers. CoRR Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang
2022	—	`conf`	DeepStruct: Pretraining of Language Models for Structure Prediction. ACL (Findings) Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song
2022	J	`jnl`	DeepStruct: Pretraining of Language Models for Structure Prediction. CoRR Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song
2022	J	`jnl`	Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. CoRR Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun
2022	—	`conf`	FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. ACL (1) Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang
2022	—	`conf`	FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. ACL (1) Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang
2022	J	`jnl`	GACT: Activation Compressed Training for General Architectures. CoRR Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung
2022	A*	`conf`	GACT: Activation Compressed Training for Generic Network Architectures. ICML Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung
2022	J	`jnl`	GLM-130B: An Open Bilingual Pre-trained Model. CoRR Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Peng Zhang, Yuxiao Dong, Jie Tang
2022	—	`conf`	GLM: General Language Model Pretraining with Autoregressive Blank Infilling. ACL (1) Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang
2022	A*	`conf`	GRAND+: Scalable Graph Random Neural Networks. WWW Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
2022	J	`jnl`	GRAND+: Scalable Graph Random Neural Networks. CoRR Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
2022	A*	`conf`	GraphMAE: Self-Supervised Masked Graph Autoencoders. KDD Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang
2022	J	`jnl`	GraphMAE: Self-Supervised Masked Graph Autoencoders. CoRR Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang
2022	—	`conf`	HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese. ACL (demo) Daniel Zhang-Li, Jing Zhang, Jifan Yu, Xiaokang Zhang, Peng Zhang, Jie Tang, Juanzi Li
2022	A*	`conf`	Hierarchical Representation Learning for Attributed Networks. ICDE Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu
2022	J	`jnl`	Hierarchical label with imbalance and attributed network structure fusion for network embedding. AI Open Shu Zhao, Jialin Chen, Jie Chen, Yanping Zhang, Jie Tang
2022	A*	`conf`	Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. KDD Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang
2022	J	`jnl`	Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. CoRR Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang
2022	J	`jnl`	Modelling High-Order Social Relations for Item Recommendation. IEEE Trans. Knowl. Data Eng. Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang
2022	A*	`conf`	OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. KDD Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang
2022	—	`conf`	P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. ACL (2) Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang
2022	J	`jnl`	Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. CoRR Weng Lam Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Xingjian Zhang, Yuxiao Dong, Jiahua Liu, Maodi Hu, Jie Tang
2022	A*	`conf`	Parameter-Efficient Tuning Makes a Good Classification Head. EMNLP Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, Jie Tang
2022	J	`jnl`	Parameter-Efficient Tuning Makes a Good Classification Head. CoRR Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, Jie Tang
2022	J	`jnl`	Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States. Entropy Jie Tang, Song-Ya Ma, Qi Li
2022	J	`jnl`	Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. CoRR Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang
2022	A*	`conf`	Rethinking the Setting of Semi-supervised Learning on Graphs. IJCAI Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang
2022	J	`jnl`	Rethinking the Setting of Semi-supervised Learning on Graphs. CoRR Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang
2022	A*	`conf`	STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. WWW Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang
2022	A*	`conf`	SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. WWW Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang
2022	J	`jnl`	SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. CoRR Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang
2022	—	`conf`	Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. ACL (1) Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen
2022	J	`jnl`	Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. CoRR Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen
2022	A*	`conf`	Toward Graph Minimally-Supervised Learning. KDD Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu
2022	J	`jnl`	Towards a General Pre-training Framework for Adaptive Learning in MOOCs. CoRR Qingyang Zhong, Jifan Yu, Zheyuan Zhang, Yiming Mao, Yuquan Wang, Yankai Lin, Lei Hou, Juanzi Li, Jie Tang
2022	J	`jnl`	Training Free Graph Neural Networks for Graph Matching. CoRR Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua
2022	J	`jnl`	Understanding WeChat User Preferences and "Wow" Diffusion. IEEE Trans. Knowl. Data Eng. Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu
2022	A*	`conf`	XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation. KDD Jifan Yu, Xiaohan Zhang, Yifan Xu, Xuanyu Lei, Xinyu Guan, Jing Zhang, Lei Hou, Juanzi Li, Jie Tang
2021	A*	`conf`	A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
2021	J	`jnl`	ACM Web Science Conference 2021: conference report. SIGWEB Newsl. Wendy Hall, Noshir Contractor, Jie Tang
2021	A*	`conf`	Adaptive Diffusion in Graph Neural Networks. NeurIPS Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang
2021	J	`jnl`	All NLP Tasks Are Generation Tasks: A General Pretraining Framework. CoRR Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang
2021	J	`jnl`	Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks. CoRR Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang
2021	A*	`conf`	Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. KDD Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang
2021	J	`jnl`	CPM: A large-scale generative Chinese Pre-trained language model. AI Open Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun
2021	J	`jnl`	CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
2021	A*	`conf`	CogView: Mastering Text-to-Image Generation via Transformers. NeurIPS Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
2021	J	`jnl`	CogView: Mastering Text-to-Image Generation via Transformers. CoRR Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
2021	—	`ed.`	Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. WWW (Companion Volume) Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia
2021	A*	`conf`	Controllable Generation from Pre-trained Language Models via Inverse Prompting. KDD Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
2021	J	`jnl`	Controllable Generation from Pre-trained Language Models via Inverse Prompting. CoRR Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang
2021	J	`jnl`	DeepEmLAN: Deep embedding learning for attributed networks. Inf. Sci. Zhongying Zhao, Hui Zhou, Chao Li, Jie Tang, Qingtian Zeng
2021	J	`jnl`	EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training. CoRR Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang
2021	—	`conf`	Expertise-Aware Crowdsourcing Taxonomy Enrichment. WISE (1) Yuquan Wang, Yanpeng Wang, Yiming Mao, Jifan Yu, Kaisheng Zeng, Lei Hou, Juanzi Li, Jie Tang
2021	J	`jnl`	FastMoE: A Fast Mixture-of-Expert Training System. CoRR Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang
2021	J	`jnl`	FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. CoRR Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang
2021	J	`jnl`	FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. CoRR Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, Zhilin Yang
2021	J	`jnl`	GCCAD: Graph Contrastive Coding for Anomaly Detection. CoRR Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang
2021	J	`jnl`	GPT Understands, Too. CoRR Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang
2021	J	`jnl`	Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. IEEE Trans. Knowl. Data Eng. Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua
2021	A*	`conf`	Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
2021	—	`conf`	Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. NeurIPS Datasets and Benchmarks Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang
2021	J	`jnl`	Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. CoRR Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang
2021	J	`jnl`	Hierarchical community structure preserving approach for network embedding. Inf. Sci. Zhen Duan, Xian Sun, Shu Zhao, Jie Chen, Yanping Zhang, Jie Tang
2021	J	`jnl`	Improving the Training of Graph Neural Networks with Consistency Regularization. CoRR Chenhui Zhang, Yufei He, Yukuo Cen, Zhenyu Hou, Jie Tang
2021	A*	`conf`	Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. IJCAI Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov
2021	—	`conf`	LightNE: A Lightweight Graph Processing System for Network Embedding. SIGMOD Conference Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang
2021	J	`jnl`	M6: A Chinese Multimodal Pretrainer. CoRR Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang
2021	A*	`conf`	M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. KDD Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang
2021	A	`conf`	MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. CIKM Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun
2021	A*	`conf`	MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. KDD Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang
2021	J	`jnl`	Modeling Protein Using Large-scale Pretrain Language Model. CoRR Yijia Xiao, Jiezhong Qiu, Ziang Li, Chang-Yu Hsieh, Jie Tang
2021	J	`jnl`	Name disambiguation in AMiner. Sci. China Inf. Sci. Jing Zhang, Jie Tang
2021	J	`jnl`	NetMF+: Network Embedding Based on Fast and Effective Single-Pass Randomized Matrix Factorization. CoRR Yuyang Xie, Jiezhong Qiu, Wenjian Yu, Xu Feng, Yuxiang Chen, Jie Tang
2021	J	`jnl`	Network representation learning: A macro and micro view. AI Open Xueyi Liu, Jie Tang
2021	J	`jnl`	Network representation learning: A macro and micro view. CoRR Xueyi Liu, Jie Tang
2021	J	`jnl`	OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models. CoRR Xiao Liu, Da Yin, Xingjian Zhang, Kai Su, Kan Wu, Hongxia Yang, Jie Tang
2021	J	`jnl`	On embedding sequence correlations in attributed network for semi-supervised node classification. Inf. Sci. Haodong Zou, Zhen Duan, Xinru Guo, Shu Zhao, Jie Chen, Yanping Zhang, Jie Tang
2021	J	`jnl`	P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks. CoRR Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, Jie Tang
2021	J	`jnl`	POLAR++: Active One-Shot Personalized Article Recommendation. IEEE Trans. Knowl. Data Eng. Zhengxiao Du, Jie Tang, Yuhui Ding
2021	J	`jnl`	Pre-Trained Models: Past, Present and Future. CoRR Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu
2021	J	`jnl`	Pre-trained models: Past, present and future. AI Open Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu
2021	B	`conf`	SINR Maximization for RIS-Assisted Secure Dual-Function Radar Communication Systems. GLOBECOM Sisai Fang, Gaojie Chen, Peng Xu, Jie Tang, Jonathon A. Chambers
2021	J	`jnl`	Structure and Learning (Dagstuhl Seminar 21362). Dagstuhl Reports Tiansi Dong, Achim Rettinger, Jie Tang, Barbara Tversky, Frank van Harmelen
2021	A*	`conf`	TDGIA: Effective Injection Attacks on Graph Neural Networks. KDD Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang
2021	J	`jnl`	TDGIA: Effective Injection Attacks on Graph Neural Networks. CoRR Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang
2021	A*	`conf`	The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021). KDD Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang
2021	J	`jnl`	Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact. CoRR Yinyu Jin, Sha Yuan, Zhou Shao, Wendy Hall, Jie Tang
2021	J	`jnl`	Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact. Scientometrics Yinyu Jin, Sha Yuan, Zhou Shao, Wendy Hall, Jie Tang
2021	A*	`conf`	UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. NeurIPS Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. CoRR Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	Understanding WeChat User Preferences and "Wow" Diffusion. CoRR Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu
2021	A*	`ed.`	WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. WWW Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia
2021	—	`ed.`	WebSci '21: 13th ACM Web Science Conference 2021, Virtual Event, United Kingdom, June 21-25, 2021. WebSci Clare Hooper, Matthew Weber, Katrin Weller, Wendy Hall, Noshir Contractor, Jie Tang
2021	J	`jnl`	WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models. AI Open Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang
2021	J	`jnl`	XiaoMu: an AI-driven assistant for MOOCs. Sci. China Inf. Sci. Zhengyang Song, Jie Tang, Tracy Xiao Liu, Wenjiang Zheng, Lili Wu, Wenzheng Feng, Jing Zhang
2021	—	`conf`	Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. EMNLP (1) Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song
2021	J	`jnl`	Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. CoRR Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song
2020	A*	`conf`	A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices. NeurIPS Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang
2020	J	`jnl`	A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation. ACM Trans. Inf. Syst. Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yanping Zhang, Jie Tang
2020	J	`jnl`	A framework for constructing a huge name disambiguation dataset: algorithms, visualization and human collaboration. CoRR Zhuoyue Xiao, Yutao Zhang, Bo Chen, Xiaozhao Liu, Jie Tang
2020	—	`conf`	AI 2000: A Decade of Artificial Intelligence. WebSci Zhou Shao, Zhenting Shen, Sha Yuan, Jie Tang, Yongli Wang, Lili Wu, Wenjiang Zheng
2020	J	`jnl`	AI OPEN inaugural editorial. AI Open Jie Tang
2020	J	`jnl`	Attention: to Better Stand on the Shoulders of Giants. CoRR Sha Yuan, Zhou Shao, Yu Zhang, Xingxing Wei, Tong Xiao, Yifan Wang, Jie Tang
2020	A*	`conf`	Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. SIGIR Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020	J	`jnl`	Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. CoRR Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu
2020	—	`conf`	Blockwise Self-Attention for Long Document Understanding. EMNLP (Findings) Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang
2020	J	`jnl`	COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking. CoRR Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang
2020	J	`jnl`	CPM: A Large-scale Generative Chinese Pre-trained Language Model. CoRR Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun
2020	A*	`conf`	CogLTX: Applying BERT to Long Texts. NeurIPS Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang
2020	J	`jnl`	Concentration Bounds for Co-occurrence Matrices of Markov Chains. CoRR Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang
2020	A*	`conf`	Controllable Multi-Interest Framework for Recommendation. KDD Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang
2020	J	`jnl`	Controllable Multi-Interest Framework for Recommendation. CoRR Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang
2020	—	`conf`	ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs. AACL/IJCNLP Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Minlie Huang, Zhiyuan Liu
2020	J	`jnl`	Expert finding in community question answering: a review. Artif. Intell. Rev. Sha Yuan, Yu Zhang, Jie Tang, Wendy Hall, Juan Bautista Cabotà
2020	J	`jnl`	Exploiting word embedding for heterogeneous topic model towards patent recommendation. Scientometrics Jie Chen, Jialin Chen, Shu Zhao, Yanping Zhang, Jie Tang
2020	A*	`conf`	GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. KDD Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang
2020	J	`jnl`	GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. CoRR Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang
2020	J	`jnl`	Graph Random Neural Network. CoRR Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang
2020	A*	`conf`	Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang
2020	J	`jnl`	Guest Editorial Special Issue on Privacy and Security in Computational Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. Yuan Yuan, Xuyun Zhang, Jie Tang
2020	A*	`conf`	Heterogeneous Network Representation Learning. IJCAI Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang
2020	J	`jnl`	Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan
2020	—	`conf`	International Scientific Collaboration in Artificial Intelligence An Analysis based on Web Data. WebSci Sha Yuan, Zhou Shao, Yangxiao Liang, Jie Tang, Wendy Hall, Gang Liu, Yutian Zhang
2020	A*	`conf`	MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. ACL Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang
2020	J	`jnl`	Mapping the technology evolution path: a novel model for dynamic topic detection and tracking. Scientometrics Huai-Lan Liu, Zhiwang Chen, Jie Tang, Yuan Zhou, Sheng Liu
2020	J	`jnl`	Message from the Incoming Editor-in-Chief. IEEE Trans. Big Data Jie Tang
2020	J	`jnl`	Modelling High-Order Social Relations for Item Recommendation. CoRR Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang
2020	J	`jnl`	Science behind AI: the evolution of trend, mobility, and collaboration. Scientometrics Sha Yuan, Zhou Shao, Xingxing Wei, Jie Tang, Wendy Hall, Yongli Wang, Ying Wang, Ye Wang
2020	J	`jnl`	Self-supervised Learning: Generative or Contrastive. CoRR Xiao Liu, Fanjin Zhang, Zhenyu Hou, Zhaoyu Wang, Li Mian, Jing Zhang, Jie Tang
2020	J	`jnl`	Trust Relationship Prediction in Alibaba E-Commerce Platform. IEEE Trans. Knowl. Data Eng. Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang
2020	A*	`conf`	Understanding Negative Sampling in Graph Representation Learning. KDD Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang
2020	J	`jnl`	Understanding Negative Sampling in Graph Representation Learning. CoRR Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang
2019	—	`conf`	A Fast Network Embedding Approach with Preserving Hierarchical Proximities. DSC Jie Zhang, Yan Wang, Jie Tang
2019	J	`jnl`	A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation. CoRR Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yangping Zhang, Jie Tang
2019	J	`jnl`	AMiner: Search and Mining of Academic Social Networks. Data Intell. Huaiyu Wan, Yutao Zhang, Jing Zhang, Jie Tang
2019	J	`jnl`	Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. CoRR Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang
2019	J	`jnl`	Analyzing stock market trends using social media user moods and social influence. J. Assoc. Inf. Sci. Technol. Daifeng Li, Yintian Wang, Andrew D. Madden, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Ning Zhang, Enguo Zhou
2019	J	`jnl`	Blockwise Self-Attention for Long Document Understanding. CoRR Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang
2019	J	`jnl`	CONNA: Addressing Name Disambiguation on The Fly. CoRR Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, Cuiping Li
2019	—	`conf`	Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL (1) Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang
2019	J	`jnl`	Cognitive Graph for Multi-Hop Reading Comprehension at Scale. CoRR Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang
2019	J	`jnl`	Cognitive Knowledge Graph Reasoning for One-shot Relational Learning. CoRR Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang
2019	—	`conf`	Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. ACL (1) Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang
2019	J	`jnl`	Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. CoRR Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Zhiyuan Liu
2019	—	`conf`	EFCNN: A Restricted Convolutional Neural Network for Expert Finding. PAKDD (2) Yifeng Zhao, Jie Tang, Zhengxiao Du
2019	—	`conf`	Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation. PAKDD (3) Yan Wang, Jie Tang
2019	J	`jnl`	Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. CoRR Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua
2019	J	`jnl`	Identify and understand pay-it-forward reciprocity using millions of online red packets. CoRR Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex Pentland, Jie Tang
2019	B	`conf`	Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. EDM Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang
2019	A*	`conf`	Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. KDD Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen
2019	J	`jnl`	Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. CoRR Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen
2019	—	`ed.`	Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers CCKS Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li
2019	A*	`conf`	Large Scale Evolving Graphs with Burst Detection. IJCAI Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang
2019	A*	`conf`	Learning From Networks: Algorithms, Theory, and Applications. KDD Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019	—	`ed.`	Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part I NLPCC (1) Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan
2019	—	`ed.`	Natural Language Processing and Chinese Computing - 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9-14, 2019, Proceedings, Part II NLPCC (2) Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, Hongying Zan
2019	A*	`conf`	NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. WWW Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
2019	J	`jnl`	NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. CoRR Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
2019	A*	`conf`	Network Embedding under Partial Monitoring for Evolving Networks. IJCAI Yu Han, Jie Tang, Qian Chen
2019	A*	`conf`	OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. KDD Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang
2019	—	`conf`	Panel: Computational Methods about Knowledge Graph. WWW (Companion Volume) Jie Tang, Jure Leskovec, Kuansan Wang, Deborah L. McGuinness, Hassan Sawaf
2019	A*	`conf`	ProNE: Fast and Scalable Network Representation Learning. IJCAI Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding
2019	A*	`conf`	Representation Learning for Attributed Multiplex Heterogeneous Network. KDD Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
2019	J	`jnl`	Representation Learning for Attributed Multiplex Heterogeneous Network. CoRR Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
2019	—	`conf`	Representation Learning on Networks: Theories, Algorithms, and Applications. WWW (Companion Volume) Jie Tang, Yuxiao Dong
2019	J	`jnl`	Rooted citation graphs density metrics for research papers influence evaluation. J. Informetrics Christos Giatsidis, Giannis Nikolentzos, Chenhui Zhang, Jie Tang, Michalis Vazirgiannis
2019	—	`conf`	Scientometrics for Success and Influence in the Microsoft Academic Graph. COMPLEX NETWORKS (2) George Panagopoulos, Christos Xypolopoulos, Konstantinos Skianis, Christos Giatsidis, Jie Tang, Michalis Vazirgiannis
2019	A*	`conf`	Sequential Scenario-Specific Meta Learner for Online Recommendation. KDD Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang
2019	J	`jnl`	Sequential Scenario-Specific Meta Learner for Online Recommendation. CoRR Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang
2019	A*	`conf`	Towards Knowledge-Based Personalized Product Description Generation in E-commerce. KDD Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
2019	J	`jnl`	Towards Knowledge-Based Personalized Product Description Generation in E-commerce. CoRR Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang
2019	—	`conf`	Towards Knowledge-Based Recommender Dialog System. EMNLP/IJCNLP (1) Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang
2019	J	`jnl`	Towards Knowledge-Based Recommender Dialog System. CoRR Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang
2019	A*	`conf`	Understanding Dropouts in MOOCs. AAAI Wenzheng Feng, Jie Tang, Tracy Xiao Liu
2018	—	`conf`	A comparative analysis of school pupils' daily habits in Germany and China. INFOCOM Workshops Xiaoming Fu, Hong Huang, Xiang-Yang Li, Haisheng Tan, Jie Tang
2018	J	`jnl`	A novel classification method for paper-reviewer recommendation. Scientometrics Shu Zhao, Dong Zhang, Zhen Duan, Jie Chen, Yan-ping Zhang, Jie Tang
2018	A*	`conf`	Bandit Learning with Implicit Feedback. NeurIPS Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun
2018	—	`conf`	BigNet 2018 Chairs' Welcome & Organization. WWW (Companion Volume) Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger
2018	J	`jnl`	CareerMap: visualizing career trajectory. Sci. China Inf. Sci. Kan Wu, Jie Tang, Zhou Shao, Xinyi Xu, Bo Gao, Shu Zhao
2018	J	`jnl`	Collaboration Diversity and Scientific Impact. CoRR Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang
2018	—	`conf`	Course Concept Extraction in MOOC via Explicit/Implicit Representation. DSC Xiaochen Wang, Wenzheng Feng, Jie Tang, Qingyang Zhong
2018	A*	`conf`	Cross-Domain Depression Detection via Harvesting Social Media. IJCAI Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall
2018	A*	`conf`	DeepInf: Social Influence Prediction with Deep Learning. KDD Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
2018	J	`jnl`	DeepInf: Social Influence Prediction with Deep Learning. CoRR Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
2018	J	`jnl`	Expert Finding in Community Question Answering: A Review. CoRR Sha Yuan, Yu Zhang, Jie Tang, Juan Bautista Cabotà
2018	C	`conf`	Fast Randomized PCA for Sparse Data. ACML Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang
2018	J	`jnl`	Fast Randomized PCA for Sparse Data. CoRR Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang
2018	—	`conf`	Fast Top-k Area Topics Extraction with Knowledge Base. DSC Fang Zhang, Xiaochen Wang, Jingfei Han, Jie Tang, Shiyin Wang
2018	—	`ch.`	Inferring Social Ties. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Jie Tang
2018	—	`conf`	Interactive Area Topics Extraction with Policy Gradient. ICANN (3) Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong
2018	J	`jnl`	Learning to Infer Competitive Relationships in Heterogeneous Networks. ACM Trans. Knowl. Discov. Data Yang Yang, Jie Tang, Juanzi Li
2018	J	`jnl`	Modeling Personalized Dynamics of Social Network and Opinion at Individual Level. CoRR Xi Chen, Jie Tang, Yizhou Sun
2018	A*	`conf`	Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. KDD Yutao Zhang, Fanjin Zhang, Peiran Yao, Jie Tang
2018	A	`conf`	Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. WSDM Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
2018	—	`conf`	POLAR: Attention-Based CNN for One-Shot Personalized Article Recommendation. ECML/PKDD (2) Zhengxiao Du, Jie Tang, Yuhui Ding
2018	J	`jnl`	Profiling Web users using big data. Soc. Netw. Anal. Min. Xiaotao Gu, Hong Yang, Jie Tang, Jing Zhang, Fanjin Zhang, Debing Liu, Wendy Hall, Xiao Fu
2018	J	`jnl`	SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. World Wide Web Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu
2018	A	`conf`	Semi-supervised Learning on Graphs with Generative Adversarial Nets. CIKM Ming Ding, Jie Tang, Jie Zhang
2018	J	`jnl`	Semi-supervised Learning on Graphs with Generative Adversarial Nets. CoRR Ming Ding, Jie Tang, Jie Zhang
2018	J	`jnl`	Spatio-Temporal Routine Mining on Mobile Phone Data. ACM Trans. Knowl. Discov. Data Tian Qin, Wufan Shangguan, Guojie Song, Jie Tang
2018	J	`jnl`	Spectral Network Embedding: A Fast and Scalable Method via Sparsity. CoRR Jie Zhang, Yan Wang, Jie Tang, Ming Ding
2018	J	`jnl`	The impact of conference ranking systems in computer science: a comparative regression analysis. Scientometrics Xiancheng Li, Wenge Rong, Haoran Shi, Jie Tang, Zhang Xiong
2018	A	`conf`	User Profiling through Deep Multimodal Fusion. WSDM Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens
2018	—	`conf`	User Tagging in MOOCs Through Network Embedding. DSC Chaoyang Li, Zhengyang Song, Jie Tang
2018	A*	`conf`	Weakly Learning to Match Experts in Online Community. IJCAI Yujie Qian, Jie Tang, Kan Wu
2018	A*	`conf`	Where Have You Been? Inferring Career Trajectory from Academic Social Network. IJCAI Kan Wu, Jie Tang, Chenhui Zhang
2018	J	`jnl`	Will Triadic Closure Strengthen Ties in Social Networks? ACM Trans. Knowl. Discov. Data Hong Huang, Yuxiao Dong, Jie Tang, Hongxia Yang, Nitesh V. Chawla, Xiaoming Fu
2017	J	`jnl`	A Probabilistic Framework for Location Inference from Social Media. CoRR Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, Kathleen M. Carley
2017	A	`conf`	BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. CIKM Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou
2017	B	`conf`	Can AI help MOOCs? EDM Jie Tang
2017	J	`jnl`	Citation regression analysis of computer science publications in different ranking categories and subfields. Scientometrics Yifan Qian, Wenge Rong, Nan Jiang, Jie Tang, Zhang Xiong
2017	—	`conf`	Computational Models for Social Network Analysis: A Brief Survey. WWW (Companion Volume) Jie Tang
2017	—	`conf`	Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. IJCNLP(1) Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang
2017	A*	`conf`	Cross-Domain Ranking via Latent Space Learning. AAAI Jie Tang, Wendy Hall
2017	J	`jnl`	Detecting Stress Based on Social Interactions in Social Networks. IEEE Trans. Knowl. Data Eng. Huijie Lin, Jia Jia, Jiezhong Qiu, Yongfeng Zhang, Guangyao Shen, Lexing Xie, Jie Tang, Ling Feng, Tat-Seng Chua
2017	J	`jnl`	Fast Top-k Area Topics Extraction with Knowledge Base. CoRR Fang Zhang, Xiaochen Wang, Jingfei Han, Jie Tang, Shiyin Wang
2017	J	`jnl`	Fast and Flexible Top- ACM Trans. Inf. Syst. Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, Marie-Francine Moens
2017	B	`conf`	Guess you like: course recommendation in MOOCs. WI Xia Jing, Jie Tang
2017	J	`jnl`	Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan
2017	J	`jnl`	Inferring Emotional Tags From Social Images With User Demographics. IEEE Trans. Multim. Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang, Qi Tian
2017	J	`jnl`	Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach. IEEE Trans. Knowl. Data Eng. Guojie Song, Yuanhao Li, Xiaodong Chen, Xinran He, Jie Tang
2017	J	`jnl`	Introduction to Special Issue on ACM Trans. Intell. Syst. Technol. Ronald Burt, Jie Tang, Michalis Vazirgiannis, Shuang Yang
2017	A*	`conf`	LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity. KDD Yutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun
2017	J	`jnl`	Learning to Align Comments to News Topics. ACM Trans. Inf. Syst. Lei Hou, Juanzi Li, Xiaoli Li, Jie Tang, Xiaofei Guo
2017	J	`jnl`	Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. CoRR Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang
2017	J	`jnl`	Online Red Packets: A Large-scale Empirical Study of Gift Giving on WeChat. CoRR Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Jie Tang
2017	—	`conf`	Prerequisite Relation Learning for Concepts in MOOCs. ACL (1) Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang
2017	—	`ed.`	Proceedings of the 3rd International Workshop on Social Influence Analysis co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 19, 2017. SocInf@IJCAI Marcelo Gabriel Armentano, Jie Tang, Virginia Yannibelli
2017	—	`conf`	Smart Jump: Automated Navigation Suggestion for Videos in MOOCs. WWW (Companion Volume) Han Zhang, Maosong Sun, Xiaochen Wang, Zhengyang Song, Jie Tang, Jimeng Sun
2017	J	`jnl`	Special focus on natural language processing and social computing. Sci. China Inf. Sci. Jie Tang, Hanghang Tong, Michalis Vazirgiannis
2017	J	`jnl`	Standing on the shoulders of giants. J. Informetrics Tehmina Amjad, Ying Ding, Jian Xu, Chenwei Zhang, Ali Daud, Jie Tang, Min Song
2017	A*	`conf`	StructInf: Mining Structural Influence from Social Streams. AAAI Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun
2017	J	`jnl`	User Modeling on Demographic Attributes in Big Mobile Social Networks. ACM Trans. Inf. Syst. Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang
2017	J	`jnl`	User-level microblogging recommendation incorporating social influence. J. Assoc. Inf. Sci. Technol. Daifeng Li, Zhipeng Luo, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Xiaowen Dai, John Du, Jingwei Zhang, Shoubin Kong
2017	—	`conf`	When Will a Repost Cascade Settle Down? WISE (1) Chi Chen, Hongliang Tian, Jie Tang, Chunxiao Xing
2017	A*	`conf`	Who to Invite Next? Predicting Invitees of Social Groups. IJCAI Yu Han, Jie Tang
2017	A*	`conf`	Word Embedding Based Correlation Model for Question/Answer Matching. AAAI Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong
2017	A*	`conf`	iNEAT: Incomplete Network Alignment. ICDM Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan
2016	J	`jnl`	A multi-ATL method for transfer learning across multiple domains with arbitrarily different distribution. Knowl. Based Syst. Shu Zhao, Qing Cao, Jie Chen, Yanping Zhang, Jie Tang, Zhen Duan
2016	—	`conf`	AMiner: Mining Deep Knowledge from Big Scholar Data. WWW (Companion Volume) Jie Tang
2016	A	`conf`	AMiner: Toward Understanding Big Scholar Data. WSDM Jie Tang
2016	J	`jnl`	An Empirical Study on Academic Commentary and Its Implications on Reading and Writing. CoRR Tai Wang, Xiangen Hu, Keith T. Shubeck, Zhiqiang Cai, Jie Tang
2016	A	`conf`	BigNet 2016: First Workshop on Big Network Analytics. CIKM Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang
2016	—	`conf`	Boosting to Build a Large-Scale Cross-Lingual Ontology. CCKS Zhigang Wang, Liangming Pan, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang
2016	C	`conf`	Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding. KSEM Liangming Pan, Zhigang Wang, Juanzi Li, Jie Tang
2016	J	`jnl`	Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks. J. Am. Medical Informatics Assoc. Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, Jie Tang
2016	J	`jnl`	FriendBurst: Ranking people who get friends fast in a short time. Neurocomputing Li Liu, Dandan Song, Jie Tang, Lejian Liao, Xin Li, Jianguang Du
2016	J	`jnl`	Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan
2016	J	`jnl`	Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued). IEEE Trans. Big Data Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan
2016	J	`jnl`	IFOA4WSC: a quick and effective algorithm for QoS-aware servicecomposition. Int. J. Web Grid Serv. Yiwen Zhang, Guangming Cui, Shu Zhao, Jie Tang
2016	—	`conf`	Interpretable and effective opinion spam detection via temporal patterns mining across websites. IEEE BigData Yuan Yuan, Sihong Xie, Chun-Ta Lu, Jie Tang, Philip S. Yu
2016	—	`conf`	Knowledge Fragment Enrichment Using Domain Knowledge Base. SMP Jing Zhang, Honglei Zhuang, Yanglei Song, Jiawei Han, Yutao Zhang, Jie Tang, Juanzi Li
2016	B	`conf`	Learning cascaded influence under partial monitoring. ASONAM Jie Zhang, Jiaqi Ma, Jie Tang
2016	J	`jnl`	Learning for Expertise Matching with Declination Prediction. CoRR Yujie Qian, Jie Tang
2016	B	`conf`	Learning triadic influence in large social networks. ASONAM Chenhui Zhang, Sida Gao, Jie Tang, Tracy Xiao Liu, Zhanpeng Fang, Xu Cheng
2016	A	`conf`	Modeling and Predicting Learning Behavior in MOOCs. WSDM Jiezhong Qiu, Jie Tang, Tracy Xiao Liu, Jie Gong, Chenhui Zhang, Qian Zhang, Yufei Xue
2016	A*	`conf`	Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. IJCAI Zhilin Yang, Jie Tang, William W. Cohen
2016	A	`conf`	On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. SDM Venkata Krishna Pillutla, Zhanpeng Fang, Pravallika Devineni, Christos Faloutsos, Danai Koutra, Jie Tang
2016	A	`ed.`	Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 CIKM Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi
2016	—	`ed.`	Proceedings of the 2nd International Workshop on Social Influence Analysis co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, New York, USA, July 9, 2016. SocInf@IJCAI Marcelo Gabriel Armentano, Ariel Monteserin, Jie Tang, Virginia Yannibelli
2016	A*	`conf`	QUINT: On Query-Specific Optimal Networks. KDD Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong
2016	A*	`conf`	Social Role-Aware Emotion Contagion in Image Social Networks. AAAI Yang Yang, Jia Jia, Boya Wu, Jie Tang
2016	A*	`conf`	The Lifecycle and Cascade of WeChat Social Messaging Groups. WWW Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft
2016	J	`jnl`	The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory. IEEE Trans. Knowl. Data Eng. Zhiyuan Wang, Yun Zhou, Jie Tang, Jarder Luo
2016	A*	`conf`	The prediction of venture capital co-investment based on structural balance theory. ICDE Yun Zhou, Zhiyuan Wang, Jie Tang, Jarder Luo
2016	J	`jnl`	Transfer Learning to Infer Social Ties across Heterogeneous Networks. ACM Trans. Inf. Syst. Jie Tang, Tiancheng Lou, Jon M. Kleinberg, Sen Wu
2016	B	`conf`	Web user profiling using data redundancy. ASONAM Xiaotao Gu, Hong Yang, Jie Tang, Jing Zhang
2015	A*	`conf`	Beyond Query: Interactive User Intention Understanding. ICDM Yang Yang, Jie Tang
2015	A*	`conf`	COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. KDD Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu
2015	A*	`conf`	CoupledLP: Link Prediction in Coupled Networks. KDD Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, Bai Wang
2015	J	`jnl`	Diffusion of "Following" Links in Microblogging Networks. IEEE Trans. Knowl. Data Eng. Jing Zhang, Zhanpeng Fang, Wei Chen, Jie Tang
2015	—	`conf`	EgoNetCloud: Event-based egocentric dynamic network visualization. VAST Qingsong Liu, Yifan Hu, Lei Shi, Xinzhu Mu, Yutao Zhang, Jie Tang
2015	A*	`conf`	Entity Matching across Heterogeneous Sources. KDD Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li
2015	—	`conf`	Identifying Node Importance by Combining Betweenness Centrality and Katz Centrality. CCBD Yanping Zhang, Yuanyuan Bao, Shu Zhao, Jie Chen, Jie Tang
2015	A*	`conf`	Incorporating Social Context and Domain Knowledge for Entity Recognition. WWW Jie Tang, Zhanpeng Fang, Jimeng Sun
2015	J	`jnl`	Labeling clusters from both linguistic and statistical perspectives: A hybrid approach. Knowl. Based Syst. Zhixing Li, Juanzi Li, Yi Liao, Siqiang Wen, Jie Tang
2015	—	`conf`	Learning Topic Hierarchies for Wikipedia Categories. ACL (2) Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu
2015	J	`jnl`	Modeling Emotion Influence in Image Social Networks. IEEE Trans. Affect. Comput. Xiaohui Wang, Jia Jia, Jie Tang, Boya Wu, Lianhong Cai, Lexing Xie
2015	J	`jnl`	Modeling the Interplay Between Individual Behavior and Network Distributions. CoRR Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla
2015	J	`jnl`	Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs. CoRR Zhilin Yang, Jie Tang
2015	A*	`conf`	Name List Only? Target Entity Disambiguation in Short Texts. EMNLP Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji, Jie Tang
2015	J	`jnl`	NewsMiner: Multifaceted news analysis for event search. Knowl. Based Syst. Lei Hou, Juanzi Li, Zhichun Wang, Jie Tang, Peng Zhang, Ruibing Yang, Qian Zheng
2015	J	`jnl`	Panther: Fast Top-k Similarity Search in Large Networks. CoRR Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juan-Zi Li
2015	A*	`conf`	Panther: Fast Top-k Similarity Search on Large Networks. KDD Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li
2015	J	`jnl`	Predicting individual retweet behavior by user similarity: A multi-task learning approach. Knowl. Based Syst. Xing Tang, Qiguang Miao, Yi-Ning Quan, Jie Tang, Kai Deng
2015	J	`jnl`	Preface. J. Comput. Sci. Technol. Jie Tang, Xiaoyan Zhu
2015	J	`jnl`	Preface. J. Comput. Sci. Technol. Jie Tang, Xiaoyan Zhu
2015	A*	`conf`	Probabilistic Community and Role Model for Social Networks. KDD Yu Han, Jie Tang
2015	J	`jnl`	Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications. Inf. Process. Manag. Ivan Vulic, Wim De Smet, Jie Tang, Marie-Francine Moens
2015	—	`ed.`	Proceedings of the 1st International Workshop on Social Influence Analysis, SocInf 2015, co-located with 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 27, 2015. SocInf@IJCAI Marcelo Gabriel Armentano, Ariel Monteserin, Jie Tang, Virginia Yannibelli
2015	B	`ed.`	Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, August 25 - 28, 2015 ASONAM Jian Pei, Fabrizio Silvestri, Jie Tang
2015	A	`ed.`	Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015 WSDM Xueqi Cheng, Hang Li, Evgeniy Gabrilovich, Jie Tang
2015	A*	`conf`	RAIN: Social Role-Aware Information Diffusion. AAAI Yang Yang, Jie Tang, Cane Wing-Ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang
2015	A*	`conf`	Sampling Representative Users from Large Social Networks. AAAI Jie Tang, Chenhui Zhang, Keke Cai, Li Zhang, Zhong Su
2015	—	`book`	Semantic Mining of Social Networks Jie Tang, Juanzi Li
2015	C	`conf`	Simultaneous Optimization of both Node and Edge Conservation in Network Alignment via WAVE. WABI Yihan Sun, Joseph Crawford, Jie Tang, Tijana Milenkovic
2015	—	`conf`	The Evolution of Social Relationships and Strategies Across the Lifespan. ECML/PKDD (3) Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang
2015	J	`jnl`	The Lifecycle and Cascade of Social Messaging Groups. CoRR Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft
2015	J	`jnl`	Topic-level opinion influence model (TOIM): An investigation using tencent microblogging. J. Assoc. Inf. Sci. Technol. Daifeng Li, Jie Tang, Ying Ding, Xin Shuai, Tamy Chambers, Gordon Guo-Zheng Sun, Zhipeng Luo, Jingwei Zhang
2015	J	`jnl`	Triadic Closure Pattern Analysis and Prediction in Social Networks. IEEE Trans. Knowl. Data Eng. Hong Huang, Jie Tang, Lu Liu, Jarder Luo, Xiaoming Fu
2015	A*	`conf`	Uncovering the Formation of Triadic Closure in Social Networks. IJCAI Zhanpeng Fang, Jie Tang
2015	A	`conf`	Understanding the emotions behind social images: Inferring with user demographics. ICME Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang
2015	J	`jnl`	VEGAS: Visual influEnce GrAph Summarization on Citation Networks. IEEE Trans. Knowl. Data Eng. Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin
2015	J	`jnl`	Who Influenced You? Predicting Retweet via Social Influence Locality. ACM Trans. Knowl. Discov. Data Jing Zhang, Jie Tang, Juanzi Li, Yang Liu, Chunxiao Xing
2015	J	`jnl`	Word Embedding based Correlation Model for Question/Answer Matching. CoRR Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong
2014	A	`conf`	AMiner-mini: A People Search Engine for University. CIKM Jingyuan Liu, Debing Liu, Xingyu Yan, Li Dong, Ting Zeng, Yutao Zhang, Jie Tang
2014	A	`conf`	Active Learning for Streaming Networked Data. CIKM Zhilin Yang, Jie Tang, Yutao Zhang
2014	A	`conf`	Active learning for networked data based on non-progressive diffusion model. WSDM Zhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing
2014	A*	`conf`	Addressing cold start in recommender systems: a semi-supervised co-training algorithm. SIGIR Mi Zhang, Jie Tang, Xuchen Zhang, Xiangyang Xue
2014	J	`jnl`	Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. IEEE Trans. Knowl. Data Eng. Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, Manish Gupta
2014	—	`conf`	Computational models for social influence analysis: [extended abstract]. WWW (Companion Volume) Jie Tang, Jimeng Sun
2014	A*	`conf`	Cross-Lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis. AAAI Zhigang Wang, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang, Kuo Zhang, Kun Zhang
2014	A*	`conf`	Flow-Based Influence Graph Visual Summarization. ICDM Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin
2014	J	`jnl`	Flow-based Influence Graph Visual Summarization. CoRR Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin
2014	A*	`conf`	Forecasting Potential Diabetes Complications. AAAI Yang Yang, Walter Luyten, Lu Liu, Marie-Francine Moens, Jie Tang, Juanzi Li
2014	J	`jnl`	Generalized multipath planning model for ride-sharing systems. Frontiers Comput. Sci. Jamal Yousaf, Juanzi Li, Lu Chen, Jie Tang, Xiaowen Dai
2014	C	`conf`	Home localization system for misplaced objects. ICCE Son Minh Huynh, David Parry, Alvis Cheuk M. Fong, Jie Tang
2014	A	`conf`	How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. SDM Juhua Hu, Jian Pei, Jie Tang
2014	—	`conf`	How Do People Communicate through Different Social Connections? WAIM Keke Cai, Yu Zhao, Jie Tang, Li Zhang, Zhong Su
2014	A*	`conf`	How Do Your Friends on Social Media Disclose Your Emotions? AAAI Yang Yang, Jia Jia, Shumei Zhang, Boya Wu, Qicong Chen, Juanzi Li, Chunxiao Xing, Jie Tang
2014	J	`jnl`	Inferring social status and rich club effects in enterprise communication networks. CoRR Yuxiao Dong, Jie Tang, Nitesh V. Chawla, Tiancheng Lou, Yang Yang, Bai Wang
2014	A*	`conf`	Inferring user demographics and social strategies in mobile social networks. KDD Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, Nitesh V. Chawla
2014	J	`jnl`	Introduction to special issue on computational aspects of social and information networks: Theory, methodologies, and applications (TKDD-CASIN). ACM Trans. Knowl. Discov. Data Wei Chen, Jie Tang
2014	—	`conf`	Learning to Infer Public Emotions from Large-Scale Networked Voice Data. MMM (1) Zhu Ren, Jia Jia, Lianhong Cai, Kuo Zhang, Jie Tang
2014	A*	`conf`	Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. ICDM Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Çam, Xifeng Yan, Jiawei Han
2014	—	`conf`	Mining triadic closure patterns in social networks. WWW (Companion Volume) Hong Huang, Jie Tang, Sen Wu, Lu Liu, Xiaoming Fu
2014	J	`jnl`	Modeling Emotion Influence from Images in Social Networks. CoRR Xiaohui Wang, Jia Jia, Lianhong Cai, Jie Tang
2014	A	`conf`	Modeling Paying Behavior in Game Social Networks. CIKM Zhanpeng Fang, Xinyu Zhou, Jie Tang, Wei Shao, Alvis Cheuk M. Fong, Longjun Sun, Ying Ding, Ling Zhou, Jarder Luo
2014	J	`jnl`	Novel RFID and ontology based home localization system for misplaced objects. IEEE Trans. Consumer Electron. Son Minh Huynh, David Parry, Alvis Cheuk M. Fong, Jie Tang
2014	A*	`conf`	On Modelling Non-linear Topical Dependencies. ICML Zhixing Li, Siqiang Wen, Juanzi Li, Peng Zhang, Jie Tang
2014	A*	`conf`	Recommendation in social media: recent advances and new frontiers. KDD Jiliang Tang, Jie Tang, Huan Liu
2014	A*	`conf`	Role-Aware Conformity Modeling and Analysis in Social Networks. AAAI Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juan-Zi Li
2014	—	`ed.`	Social Media Processing - Third National Conference, SMP 2014, Beijing, China, November 1-2, 2014. Proceedings SMP Heyan Huang, Ting Liu, Hua-Ping Zhang, Jie Tang
2014	J	`jnl`	Typicality-Based Collaborative Filtering Recommendation. IEEE Trans. Knowl. Data Eng. Yi Cai, Ho-fung Leung, Qing Li, Huaqing Min, Jie Tang, Juanzi Li
2013	J	`jnl`	A unified approach to matching semantic data on the Web. Knowl. Based Syst. Zhichun Wang, Juanzi Li, Yue Zhao, Rossi Setchi, Jie Tang
2013	C	`conf`	Accelerating Topic Model Training on a Single Machine. APWeb Mian Lu, Ge Bai, Qiong Luo, Jie Tang, Jiuxin Zhao
2013	A*	`conf`	Boosting Cross-Lingual Knowledge Linking via Concept Annotation. IJCAI Zhichun Wang, Juanzi Li, Jie Tang
2013	A*	`conf`	Confluence: conformity influence in large social networks. KDD Jie Tang, Sen Wu, Jimeng Sun
2013	J	`jnl`	Evolving Social Networks in Consumer Electronics [Conference Reports]. IEEE Consumer Electron. Mag. Alvis Cheuk M. Fong, Jie Tang
2013	—	`conf`	How Long Will She Call Me? Distribution, Social Theory and Duration Prediction. ECML/PKDD (2) Yuxiao Dong, Jie Tang, Tiancheng Lou, Bin Wu, Nitesh V. Chawla
2013	A*	`conf`	Influence Maximization in Dynamic Social Networks. ICDM Honglei Zhuang, Yihan Sun, Jie Tang, Jialin Zhang, Xiaoming Sun
2013	J	`jnl`	Introduction to Special section on Large-scale Data Mining. Data Knowl. Eng. Jie Tang, Ling Chen, Irwin King, Jianyong Wang
2013	J	`jnl`	Large scale instance matching via multiple indexes and candidate selection. Knowl. Based Syst. Juanzi Li, Zhichun Wang, Xiao Zhang, Jie Tang
2013	J	`jnl`	Learning to predict reciprocity and triadic closure in social networks. ACM Trans. Knowl. Discov. Data Tiancheng Lou, Jie Tang, John E. Hopcroft, Zhanpeng Fang, Xiaowen Ding
2013	—	`ed.`	Linked Data and Knowledge Graph - 7th Chinese Semantic Web Symposium and 2nd Chinese Web Science Conference, CSWS 2013, Shanghai, China, August 12-16, 2013. Revised Selected Papers CSWS Guilin Qi, Jie Tang, Jianfeng Du, Jeff Z. Pan, Yong Yu
2013	A	`conf`	Mining diabetes complication and treatment patterns for clinical decision support. CIKM Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary
2013	J	`jnl`	Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective. J. Informetrics Bing He, Ying Ding, Jie Tang, Vignesh Reguramalingam, Johan Bollen
2013	A*	`conf`	Mining structural hole spanners through information diffusion in social networks. WWW Tiancheng Lou, Jie Tang
2013	A	`conf`	Models and algorithms for social influence analysis. WSDM Jimeng Sun, Jie Tang
2013	A	`conf`	Patent partner recommendation in enterprise social networks. WSDM Sen Wu, Jimeng Sun, Jie Tang
2013	J	`jnl`	Query-dependent cross-domain ranking in heterogeneous network. Knowl. Inf. Syst. Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, Zi Yang
2013	J	`jnl`	Robust tri-modal automatic speech recognition for consumer applications. IEEE Trans. Consumer Electron. Steven J. Anderson, Alvis Cheuk M. Fong, Jie Tang
2013	A*	`conf`	SAE: social analytic engine for large networks. KDD Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang
2013	C	`conf`	Sentiment diffusion in large scale social networks. ICCE Jie Tang, Acm Fong
2013	A*	`conf`	Social Influence Locality for Modeling Retweeting Behaviors. IJCAI Jing Zhang, Biao Liu, Jie Tang, Ting Chen, Juanzi Li
2013	J	`jnl`	Social Network Integration: Towards Constructing the Social Graph. CoRR Yutao Zhang, Jie Tang
2013	—	`conf`	Transfer Learning Based Cross-lingual Knowledge Extraction for Wikipedia. ACL (1) Zhigang Wang, Zhixing Li, Juanzi Li, Jie Tang, Jeff Z. Pan
2013	C	`conf`	Tri-modal speech recognition for noisy and variable lighting conditions. ICCE Steven J. Anderson, Acm Fong, Jie Tang
2013	A*	`conf`	What Users Care About: A Framework for Social Content Alignment. IJCAI Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang
2013	—	`conf`	XLore: A Large-scale English-Chinese Bilingual Knowledge Graph. ISWC (Posters & Demos) Zhigang Wang, Juanzi Li, Zhichun Wang, Shuangjie Li, Mingyang Li, Dongsheng Zhang, Yao Shi, Yongbin Liu, Peng Zhang, Jie Tang
2012	J	`jnl`	A Unified Probabilistic Framework for Name Disambiguation in Digital Library. IEEE Trans. Knowl. Data Eng. Jie Tang, Alvis Cheuk M. Fong, Bo Wang, Jing Zhang
2012	—	`conf`	Accurate Product Name Recognition from User Generated Content. ICDM Workshops Sen Wu, Zhanpeng Fang, Jie Tang
2012	J	`jnl`	Actively learning to infer social ties. Data Min. Knowl. Discov. Honglei Zhuang, Jie Tang, Wenbin Tang, Tiancheng Lou, Alvin Chin, Xia Wang
2012	J	`jnl`	Adding community and dynamic to topic models. J. Informetrics Daifeng Li, Ying Ding, Xin Shuai, Johan Bollen, Jie Tang, Shanshan Chen, Jiayi Zhu, Guilherme Rocha
2012	J	`jnl`	Batch Mode Active Learning for Networked Data. ACM Trans. Intell. Syst. Technol. Lixin Shi, Yuhang Zhao, Jie Tang
2012	A*	`conf`	Can we understand van gogh's mood?: learning to infer affects from images in social networks. ACM Multimedia Jia Jia, Sen Wu, Xiaohui Wang, Peiyun Hu, Lianhong Cai, Jie Tang
2012	A*	`conf`	Cross-domain collaboration recommendation. KDD Jie Tang, Sen Wu, Jimeng Sun, Hang Su
2012	A*	`conf`	Cross-lingual knowledge linking across wiki knowledge bases. WWW Zhichun Wang, Juanzi Li, Zhigang Wang, Jie Tang
2012	J	`jnl`	Generation of Personalized Ontology Based on Consumer Emotion and Behavior Analysis. IEEE Trans. Affect. Comput. Alvis Cheuk M. Fong, Baoyao Zhou, Siu Cheung Hui, Jie Tang, Guan Y. Hong
2012	—	`conf`	Inferring Geographic Coincidence in Ephemeral Social Networks. ECML/PKDD (2) Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang
2012	A	`conf`	Inferring social ties across heterogenous networks. WSDM Jie Tang, Tiancheng Lou, Jon M. Kleinberg
2012	—	`conf`	Instant Social Graph Search. PAKDD (2) Sen Wu, Jie Tang, Bo Gao
2012	J	`jnl`	Introduction to the Special Section on Computational Models of Collective Intelligence in the Social Web. ACM Trans. Intell. Syst. Technol. Evgeniy Gabrilovich, Zhong Su, Jie Tang
2012	J	`jnl`	Learning influence from heterogeneous social networks. Data Min. Knowl. Discov. Lu Liu, Jie Tang, Jiawei Han, Shiqiang Yang
2012	—	`conf`	Learning to Diversify Expert Finding with Subtopics. PAKDD (1) Hang Su, Jie Tang, Wanling Hong
2012	A*	`conf`	Link Prediction and Recommendation across Heterogeneous Social Networks. ICDM Yuxiao Dong, Jie Tang, Sen Wu, Jilei Tian, Nitesh V. Chawla, Jinghai Rao, Huanhuan Cao
2012	A	`conf`	Mining competitive relationships by learning across heterogeneous networks. CIKM Yang Yang, Jie Tang, Jacklyne Keomany, Yanting Zhao, Juanzi Li, Ying Ding, Tian Li, Liangwei Wang
2012	A	`conf`	Mining topic-level opinion influence in microblog. CIKM Daifeng Li, Xin Shuai, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo
2012	J	`jnl`	Modeling Indirect Influence on Twitter. Int. J. Semantic Web Inf. Syst. Xin Shuai, Ying Ding, Jerome R. Busemeyer, Shanshan Chen, Yuyin Sun, Jie Tang
2012	J	`jnl`	On optimization of expertise matching with various constraints. Neurocomputing Wenbin Tang, Jie Tang, Tao Lei, Chenhao Tan, Bo Gao, Tian Li
2012	A*	`conf`	PatentMiner: topic-driven patent analysis and mining. KDD Jie Tang, Bo Wang, Yang Yang, Po Hu, Yanting Zhao, Xinyu Yan, Bo Gao, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi
2012	—	`conf`	Plink-LDA: Using Link as Prior Information in Topic Modeling. DASFAA (1) Huan Xia, Juanzi Li, Jie Tang, Marie-Francine Moens
2012	J	`jnl`	Preface. J. Comput. Sci. Technol. Qiang Yang, Jie Tang, Lei Zhang, Bin Cao
2012	J	`jnl`	Quantitative Study of Individual Emotional States in Social Networks. IEEE Trans. Affect. Comput. Jie Tang, Yuan Zhang, Jimeng Sun, Jinghai Rao, Wenjing Yu, Yiran Chen, Alvis Cheuk M. Fong
2012	—	`conf`	Ride-Sharing: A Multi Source-Destination Path Planning Approach. Australasian Conference on Artificial Intelligence Jamal Yousaf, Juanzi Li, Lu Chen, Jie Tang, Xiaowen Dai, John Du
2012	—	`ed.`	Social Informatics - 4th International Conference, SocInfo 2012, Lausanne, Switzerland, December 5-7, 2012. Proceedings SocInfo Karl Aberer, Andreas Flache, Wander Jager, Ling Liu, Jie Tang, Christophe Guéret
2012	J	`jnl`	The dynamic features of Delicious, Flickr, and YouTube. J. Assoc. Inf. Sci. Technol. Nan Lin, Daifeng Li, Ying Ding, Bing He, Zheng Qin, Jie Tang, Juanzi Li, Tianxi Dong
2012	—	`conf`	To better stand on the shoulder of giants. JCDL Rui Yan, Congrui Huang, Jie Tang, Yan Zhang, Xiaoming Li
2012	J	`jnl`	Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging CoRR Daifeng Li, Ying Ding, Xin Shuai, Golden Guo-Zheng Sun, Jie Tang, Zhipeng Luo, Jingwei Zhang, Guo Zhang
2012	A*	`conf`	Understanding the emotional impact of images. ACM Multimedia Xiaohui Wang, Jia Jia, Peiyun Hu, Sen Wu, Jie Tang, Lianhong Cai
2012	J	`jnl`	User-level Weibo Recommendation incorporating Social Influence based on Semi-Supervised Algorithm CoRR Daifeng Li, Zhipeng Luo, Golden Guo-Zheng Sun, Jie Tang, Jingwei Zhang
2012	J	`jnl`	What is the Nature of Tencent Weibo: Detect the Unique Features of Tencent Users CoRR Daifeng Li, Jingwei Zhang, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo
2011	—	`ch.`	A Survey of Models and Algorithms for Social Influence Analysis. Social Network Data Analytics Jimeng Sun, Jie Tang
2011	J	`jnl`	A conversation with Professors Deyi Li and Jie Tang. SIGKDD Explor. Deyi Li, Jie Tang
2011	A*	`conf`	ADANA: Active Name Disambiguation. ICDM Xuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu
2011	—	`ed.`	Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I ADMA (1) Jie Tang, Irwin King, Ling Chen, Jianyong Wang
2011	—	`ed.`	Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II ADMA (2) Jie Tang, Irwin King, Ling Chen, Jianyong Wang
2011	A	`conf`	Citation count prediction: learning to estimate future citations for literature. CIKM Rui Yan, Jie Tang, Xiaobing Liu, Dongdong Shan, Xiaoming Li
2011	A*	`conf`	Detecting Community Kernels in Large Social Networks. ICDM Liaoruo Wang, Tiancheng Lou, Jie Tang, John E. Hopcroft
2011	J	`jnl`	Does Quantum Interference exist in Twitter? CoRR Xin Shuai, Ying Ding, Jerome R. Busemeyer, Yuyin Sun, Shanshan Chen, Jie Tang
2011	B	`conf`	Dynamic Social Influence Analysis through Time-Dependent Factor Graphs. ASONAM Chi Wang, Jie Tang, Jimeng Sun, Jiawei Han
2011	J	`jnl`	Introduction to Special Issue on Large-Scale Data Mining. ACM Trans. Knowl. Discov. Data Jimeng Sun, Yan Liu, Jie Tang, Chid Apté
2011	—	`conf`	Knowledge Transfer across Multilingual Corpora via Latent Topics. PAKDD (1) Wim De Smet, Jie Tang, Marie-Francine Moens
2011	—	`conf`	Learning to Advertise: How Many Ads Are Enough? PAKDD (2) Bo Wang, Zhaonan Li, Jie Tang, Kuo Zhang, Songcan Chen, Liyun Ru
2011	—	`conf`	Learning to Infer Social Ties in Large Networks. ECML/PKDD (3) Wenbin Tang, Honglei Zhuang, Jie Tang
2011	J	`jnl`	Modeling topic and community structure in social tagging: The TTR-LDA-Community model. J. Assoc. Inf. Sci. Technol. Daifeng Li, Ying Ding, Cassidy R. Sugimoto, Bing He, Jie Tang, Erjia Yan, Nan Lin, Zheng Qin, Tianxi Dong
2011	A	`conf`	OOLAM: an opinion oriented link analysis model for influence persona discovery. WSDM Keke Cai, Shenghua Bao, Zi Yang, Jie Tang, Rui Ma, Li Zhang, Zhong Su
2011	J	`jnl`	Social Community Analysis via a Factor Graph Model. IEEE Intell. Syst. Zi Yang, Jie Tang, Juanzi Li, Wenjun Yang
2011	A*	`conf`	Social context summarization. SIGIR Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, Juanzi Li
2011	J	`jnl`	Topic level expertise search over heterogeneous networks. Mach. Learn. Jie Tang, Jing Zhang, Ruoming Jin, Zi Yang, Keke Cai, Li Zhang, Zhong Su
2011	A*	`conf`	Topic-level social network search. KDD Jie Tang, Sen Wu, Bo Gao, Yang Wan
2011	J	`jnl`	User-level sentiment analysis incorporating social networks CoRR Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li
2011	A*	`conf`	User-level sentiment analysis incorporating social networks. KDD Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li
2011	A	`conf`	Who will follow you back?: reciprocal relationship prediction. CIKM John E. Hopcroft, Tiancheng Lou, Jie Tang
2010	J	`jnl`	A Combination Approach to Web User Profiling. ACM Trans. Knowl. Discov. Data Jie Tang, Limin Yao, Duo Zhang, Jing Zhang
2010	J	`jnl`	A constraint-based topic modeling approach for name disambiguation. Frontiers Comput. Sci. China Feng Wang, Jie Tang, Juanzi Li, Kehong Wang
2010	—	`conf`	Automatically Grouping Questions in Yahoo! Answers. Web Intelligence Yajie Miao, Lili Zhao, Chunping Li, Jie Tang
2010	A	`conf`	Combining link and content for collective active learning. CIKM Lixin Shi, Yuhang Zhao, Jie Tang
2010	—	`conf`	Community evolution detection in dynamic heterogeneous information networks. MLG@KDD Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, Bo Zhao
2010	A	`conf`	Community-based topic modeling for social tagging. CIKM Daifeng Li, Bing He, Ying Ding, Jie Tang, Cassidy R. Sugimoto, Zheng Qin, Erjia Yan, Juanzi Li, Tianxi Dong
2010	—	`conf`	Expertise Matching via Constraint-Based Optimization. Web Intelligence Wenbin Tang, Jie Tang, Chenhao Tan
2010	A	`conf`	Identifying new categories in community question answering archives: a topic modeling approach. CIKM Yajie Miao, Chunping Li, Jie Tang, Lili Zhao
2010	—	`conf`	MQuery: Fast Graph Query via Semantic Indexing for Mobile Context. Web Intelligence Yuan Zhang, Ning Zhang, Jie Tang, Jinghai Rao, Wenbin Tang
2010	A*	`conf`	Mining advisor-advisee relationships from research publication networks. KDD Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, Jingyi Guo
2010	A	`conf`	Mining topic-level influence in heterogeneous networks. CIKM Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang Yang
2010	J	`jnl`	Modeling the evolution of associated data. Data Knowl. Eng. Jie Tang, Jing Zhang
2010	A*	`conf`	MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model. ICDM Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jinghai Rao
2010	A	`conf`	Recommendation based on object typicality. CIKM Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, Juanzi Li
2010	—	`conf`	RiMOM results for OAEI 2010. OM Zhichun Wang, Xiao Zhang, Lei Hou, Yue Zhao, Juanzi Li, Yu Qi, Jie Tang
2010	A*	`conf`	Social action tracking via noise tolerant time-varying factor graphs. KDD Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang
2010	A*	`conf`	Term Filtering with Bounded Error. ICDM Zi Yang, Wei Li, Jie Tang, Juanzi Li
2010	—	`conf`	TyCo: Towards Typicality-based Collaborative Filtering Recommendation. ICTAI (2) Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, Juanzi Li
2010	A	`conf`	Understanding retweeting behaviors in social networks. CIKM Zi Yang, Jingyi Guo, Keke Cai, Jie Tang, Juanzi Li, Li Zhang, Zhong Su
2009	—	`conf`	A Collaborative Filtering Tag Recommendation System Based on Graph. DC@PKDD/ECML Yuan Zhang, Ning Zhang, Jie Tang
2009	B	`conf`	A Discriminative Approach to Topic-Based Citation Recommendation. PAKDD Jie Tang, Jing Zhang
2009	—	`conf`	A Tag Recommendation System Based on Contents. DC@PKDD/ECML Ning Zhang, Yuan Zhang, Jie Tang
2009	—	`conf`	A gauss function based approach for unbalanced ontology matching. SIGMOD Conference Qian Zhong, Hanyu Li, Juanzi Li, Guo Tong Xie, Jie Tang, Lizhu Zhou, Yue Pan
2009	—	`conf`	A tag recommendation system for folksonomy. CIKM-SWSM Ning Zhang, Yuan Zhang, Jie Tang
2009	Misc	`conf`	Actively Learning Ontology Matching via User Interaction. ISWC Feng Shi, Juanzi Li, Jie Tang, Guo Tong Xie, Hanyu Li
2009	—	`ch.`	Automatic Semantic Annotation Using Machine Learning. The Semantic Web for Knowledge and Data Management Jie Tang, Duo Zhang, Limin Yao, Yi Li
2009	A*	`conf`	Discovering the staring people from social networks. WWW Dewei Chen, Jie Tang, Juanzi Li, Lizhu Zhou
2009	A	`conf`	Heterogeneous cross domain ranking in latent space. CIKM Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, Yanzhu Liu
2009	A	`conf`	Multi-topic Based Query-Oriented Summarization. SDM Jie Tang, Limin Yao, Dewei Chen
2009	—	`ed.`	Proceedings of the 2nd ACM Workshop on Social Web Search and Mining, CIKM-SWSM 2009, Hong Kong, China, November 2, 2009 CIKM-SWSM Irwin King, Juan-Zi Li, Gui-Rong Xue, Jie Tang
2009	—	`conf`	Query-Focused Summarization by Combining Topic Model and Affinity Propagation. APWeb/WAIM Dewei Chen, Jie Tang, Limin Yao, Juanzi Li, Lizhu Zhou
2009	—	`conf`	RiMOM Results for OAEI 2009. OM Xiao Zhang, Qian Zhong, Feng Shi, Juanzi Li, Jie Tang
2009	J	`jnl`	RiMOM: A Dynamic Multistrategy Ontology Alignment Framework. IEEE Trans. Knowl. Data Eng. Juanzi Li, Jie Tang, Yi Li, Qiong Luo
2009	A*	`conf`	Social influence analysis in large-scale networks. KDD Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
2009	—	`ch.`	Swarms. The Semantic Web for Knowledge and Data Management Jie Tang, Bangyong Liang, Juanzi Li
2009	A*	`conf`	Topic Distributions over Links on Web. ICDM Jie Tang, Jing Zhang, Jeffrey Xu Yu, Zi Yang, Keke Cai, Rui Ma, Li Zhang, Zhong Su
2009	—	`conf`	Topic-Level Random Walk through Probabilistic Model. APWeb/WAIM Zi Yang, Jie Tang, Jing Zhang, Juanzi Li, Bo Gao
2009	A*	`conf`	Towards Ontology Learning from Folksonomies. IJCAI Jie Tang, Ho-fung Leung, Qiong Luo, Dewei Chen, Jibin Gong
2008	B	`conf`	A Mixture Model for Expert Finding. PAKDD Jing Zhang, Jie Tang, Liu Liu, Juan-Zi Li
2008	A*	`conf`	A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search. ICDM Jie Tang, Ruoming Jin, Jing Zhang
2008	A*	`conf`	A unified framework for name disambiguation. WWW Jie Tang, Jing Zhang, Duo Zhang, Juanzi Li
2008	A	`conf`	Academic conference homepage understanding using constrained hierarchical conditional random fields. CIKM Xin Xin, Juanzi Li, Jie Tang, Qiong Luo
2008	A*	`conf`	ArnetMiner: extraction and mining of academic social networks. KDD Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, Zhong Su
2008	J	`jnl`	Arnetminer: expertise oriented search using social networks. Frontiers Comput. Sci. China Juanzi Li, Jie Tang, Jing Zhang, Qiong Luo, Yunhao Liu, MingCai Hong
2008	—	`conf`	Expertise Search in a Time-Varying Social Network. WAIM Yize Li, Jie Tang
2008	A*	`conf`	Extraction and mining of an academic social network. WWW Jie Tang, Jing Zhang, Limin Yao, Juan-Zi Li
2008	—	`conf`	Name Disambiguation Using Atomic Clusters. WAIM Feng Wang, Juanzi Li, Jie Tang, Jing Zhang, Kehong Wang
2008	—	`conf`	Path Similarity Based Directory Ontology Matching. WAIM Qian Zhong, Juanzi Li, Jie Tang, Yi Li, Lizhu Zhou
2008	—	`conf`	Recommendation over a Heterogeneous Social Network. WAIM Jing Zhang, Jie Tang, Bangyong Liang, Zi Yang, Sijie Wang, Jingjing Zuo, Juanzi Li
2008	—	`conf`	RiMOM Results for OAEI 2008. OM Xiao Zhang, Qian Zhong, Juanzi Li, Jie Tang
2008	A*	`conf`	WWW 2008 workshop on social web search and mining: SWSM2008. WWW Juan-Zi Li, Gui-Rong Xue, Jie Tang, Ying Ding
2007	—	`conf`	A Unified Approach to Researcher Profiling. Web Intelligence Limin Yao, Jie Tang, Juan-Zi Li
2007	A*	`conf`	A Unified Tagging Approach to Text Normalization. ACL Conghui Zhu, Jie Tang, Hang Li, Hwee Tou Ng, Tiejun Zhao
2007	A	`conf`	A constraint-based probabilistic framework for name disambiguation. CIKM Duo Zhang, Jie Tang, Juan-Zi Li, Kehong Wang
2007	—	`conf`	ArnetMiner: An Expertise Oriented Search System for Web Community. Semantic Web Challenge Jie Tang, Jing Zhang, Duo Zhang, Limin Yao, Chunlin Zhu, Juan-Zi Li
2007	A*	`conf`	EOS: expertise oriented search using social networks. WWW Juan-Zi Li, Jie Tang, Jing Zhang, Qiong Luo, Yunhao Liu, MingCai Hong
2007	—	`conf`	Enhancing Semantic Web by Semantic Annotation: Experiences in Building an Automatic Conference Calendar. Web Intelligence Xin Xin, Juan-Zi Li, Jie Tang
2007	B	`conf`	Expert Finding in a Social Network. DASFAA Jing Zhang, Jie Tang, Juan-Zi Li
2007	—	`conf`	Result of Ontology Alignment with RiMOM at OAEI'07. OM Yi Li, Qian Zhong, Juanzi Li, Jie Tang
2007	A*	`conf`	Social Network Extraction of Academic Researchers. ICDM Jie Tang, Duo Zhang, Limin Yao
2007	—	`conf`	Verification of Web Service Conversations Specified in WSCL. COMPSAC (2) Zhifeng Gu, Juan-Zi Li, Jie Tang, Bin Xu, Ruobo Huang
2006	—	`conf`	Keyword Extraction Using Support Vector Machine. WAIM Kuo Zhang, Hui Xu, Jie Tang, Juan-Zi Li
2006	—	`conf`	Result of Ontology Alignment with RiMOM at OAEI'06. Ontology Matching Yi Li, Juan-Zi Li, Duo Zhang, Jie Tang
2006	—	`conf`	SWARMS: A New Tool for Domain Exploration in Semantic Web. SKG Bangyong Liang, Jie Tang, Juan-Zi Li, Kehong Wang
2006	—	`conf`	Semantic Annotation Using Horizontal and Vertical Contexts. ASWC MingCai Hong, Jie Tang, Juan-Zi Li
2006	C	`conf`	Semantic Similarity Based Ontology Cache. APWeb Bangyong Liang, Jie Tang, Juan-Zi Li, Kehong Wang
2006	C	`conf`	Table Detection from Plain Text Using Machine Learning and Document Structure. APWeb Juan-Zi Li, Jie Tang, Qiang Song, Peng Xu
2006	Misc	`conf`	Tree-Structured Conditional Random Fields for Semantic Annotation. ISWC Jie Tang, MingCai Hong, Juan-Zi Li, Bangyong Liang
2006	J	`jnl`	Using Bayesian decision for ontology mapping. J. Web Semant. Jie Tang, Juan-Zi Li, Bangyong Liang, Xiaotong Huang, Yi Li, Kehong Wang
2006	C	`conf`	Weighted Ontology-Based Search Exploiting Semantic Similarity. APWeb Kuo Zhang, Jie Tang, MingCai Hong, Juan-Zi Li, Wei Wei
2005	—	`conf`	Association search in semantic web: search + inference. WWW (Special interest tracks and posters) Bangyong Liang, Jie Tang, Juan-Zi Li
2005	A*	`conf`	Email data cleaning. KDD Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
2005	—	`conf`	Feature-Correlation Based Multi-view Detection. ICCSA (4) Kuo Zhang, Jie Tang, Juan-Zi Li, Kehong Wang
2005	—	`conf`	Multiple strategies detection in ontology mapping. WWW (Special interest tracks and posters) Jie Tang, Yong Liang, Zi Li
2005	J	`jnl`	iASA: Learning to Annotate the Semantic Web. J. Data Semant. Jie Tang, Juan-Zi Li, Hongjun Lu, Bangyong Liang, Xiaotong Huang, Kehong Wang
2004	—	`conf`	A Component Retrieval Method Based on Facet-Weight Self-learning. AWCC Xiaoqin Xie, Jie Tang, Juan-Zi Li, Kehong Wang
2004	—	`conf`	Keyword Extraction Based Peer Clustering. GCC Bangyong Liang, Jie Tang, Juan-Zi Li, Kehong Wang
2004	C	`conf`	Loss Minimization Based Keyword Distillation. APWeb Jie Tang, Juan-Zi Li, Kehong Wang, Yue-Ru Cai
2004	—	`conf`	Risk Minimization Based Ontology Mapping. AWCC Jie Tang, Bangyong Liang, Juan-Zi Li, Kehong Wang
2004	—	`conf`	Semantic Based Web Services Discovery. AWCC Jianjun Xu, Qian Zhu, Juan-Zi Li, Jie Tang, Po Zhang, Kehong Wang
2004	—	`conf`	Using DAML+OIL to Enhance Search Semantic. Web Intelligence Bangyong Liang, Jie Tang, Juan-Zi Li, Kehong Wang
2003	—	`conf`	Research of Atomic and Anonymous Electronic Commerce Protocol. RSFDGrC Jie Tang, Juan-Zi Li, Kehong Wang, Yue-Ru Cai
2003	—	`conf`	Research of Satisfying Atomic and Anonymous Electronic Commerce Protocol. GCC (2) Jie Tang, Juan-Zi Li, Kehong Wang, Yue-Ru Cai