Jie Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
437
Venues
41
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*ACL50 papers
- A*KDD32 papers
- ACIKM26 papers
- A*AAAI22 papers
- A*IJCAI17 papers
- BGLOBECOM16 papers
- A*ICDM15 papers
- A*EMNLP14 papers
- A*ICLR13 papers
- A*CVPR11 papers
- NationalHCI8 papers
- MulticonferenceICASSP8 papers
- A*ICML6 papers
- A*ECCV5 papers
- CICA3PP5 papers
- CAPWEB5 papers
- A*ICCV4 papers
- A*ICDE3 papers
- BCOMPSAC3 papers
- BDASFAA3 papers
- AIROS3 papers
- CISPA3 papers
- A*ICRA3 papers
- CISCAS2 papers
- A*DAC2 papers
- CICIS2 papers
- BIJCNLP2 papers
- BEDM2 papers
- CHPCC2 papers
- BICTAI2 papers
- BICIP1 paper
- BASPDAC1 paper
- A*HPCA1 paper
- AECAI1 paper
- CACML1 paper
- CICANN1 paper
- A*INFOCOM1 paper
- BIJCNN1 paper
- BICPADS1 paper
- CCIS1 paper
- CICCSA1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning. | Jinhao Chen, Zhen Yang, Jianxin Shi, Tianyu Wo, Jie Tang |
| 2026 | AAAI | VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation. | 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 |
| 2026 | AAAI | Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement. | Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, WangJie You, Jie Tang, Qingsong Liu, Yuhang Guo, Yangyang Kang |
| 2026 | AAAI | UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge. | Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang |
| 2026 | ACL | SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs. | Prateek Chaturvedi, Yuqicheng Zhu, Hongkuan Zhou, Dongzhuoran Zhou, Yunjie He, Steffen Staab, Fei Du, Jie Tang, Evgeny Kharlamov |
| 2026 | ACL | Glyph: Scaling Context Windows via Visual-Text Compression. | 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 |
| 2026 | ACL | RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension. | Yelin Chen, Fanjin Zhang, Suping Sun, Yunhe Pang, Yuanchun Wang, Jian Song, Xiaoyan Li, Lei Hou, Shu Zhao, Jie Tang, Juanzi Li |
| 2026 | ACL | HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing. | Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo, Lin Fan, Irene Zhou, Zikang Wang, Xiaotao Gu, Jie Tang, Hongning Wang, Minlie Huang |
| 2026 | ACL | KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks. | Xueqiao Sun, Xiao Liu, Bowen Lv, Hanchen Zhang, Bohao Jing, Zehan Qi, Yifan Xu, Yuxiao Dong, Jie Tang |
| 2026 | ACL | Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation. | Yanzhi Tian, Cunxiang Wang, Zeming Liu, Heyan Huang, Wenbo Yu, Dawei Song, Jie Tang, Yuhang Guo |
| 2026 | ACL | MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token Prediction. | Ke Wang, Aohan Zeng, Zhengxiao Du, Yuxuan Hu, Bohan Zhang, Xinyi Wang, Jie Tang, Jing Zhang |
| 2026 | ACL | DataSciBench: An LLM Agent Benchmark for Data Science. | Dan Zhang, Sining Zhoubian, Min Cai, Fengzu Li, Lekang Yang, Wei Wang, Tianjiao Dong, Ziniu Hu, Jie Tang, Yisong Yue |
| 2026 | ACL | PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple Libraries. | Yi Zhao, Zhen Yang, Shuaiqi Duan, Wenmeng Yu, Zhe Su, Jibing Gong, Jie Tang |
| 2026 | ACL | Data Efficient RLVR via Off-Policy Influence Guidance. | Erle Zhu, Dazhi Jiang, Yuan Wang, Xujun Li, Jiale Cheng, Yuxian Gu, Yilin Niu, Aohan Zeng, Jie Tang, Minlie Huang, Hongning Wang |
| 2026 | ISCAS | RASR: Retrieval-Augmented Super Resolution for Practical Reference-based Image Restoration. | Jiaqi Yan, Shuning Xu, Xiangyu Chen, Dell Zhang, Jiantao Zhou, Jie Tang, Gangshan Wu, Jie Liu |
| 2025 | AAAI | Small Language Model Makes an Effective Long Text Extractor. | Yelin Chen, Fanjin Zhang, Jie Tang |
| 2025 | ACL | LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks. | 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 | ACL | LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. | Jiayi Gui, Yiming Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang |
| 2025 | ACL | TreeRL: LLM Reinforcement Learning with On-Policy Tree Search. | Zhenyu Hou, Ziniu Hu, Yujiang Li, Rui Lu, Jie Tang, Yuxiao Dong |
| 2025 | ACL | AndroidGen: Building an Android Language Agent under Data Scarcity. | Hanyu Lai, Junjie Gao, Xiao Liu, Yifan Xu, Shudan Zhang, Yuxiao Dong, Jie Tang |
| 2025 | ACL | A Survey of Post-Training Scaling in Large Language Models. | 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 | ACL | LongSafety: Evaluating Long-Context Safety of Large Language Models. | Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ACL | Dynamic Scaling of Unit Tests for Code Reward Modeling. | Zeyao Ma, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang |
| 2025 | ACL | In-the-wild Audio Spatialization with Flexible Text-guided Localization. | Tianrui Pan, Jie Liu, Zewen Huang, Jie Tang, Gangshan Wu |
| 2025 | ACL | SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling. | Haoran Wang, Zhenyu Hou, Yao Wei, Jie Tang, Yuxiao Dong |
| 2025 | ACL | HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. | Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ACL | AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents. | Yifan Xu, Xiao Liu, Xueqiao Sun, Siyi Cheng, Hao Yu, Hanyu Lai, Shudan Zhang, Dan Zhang, Jie Tang, Yuxiao Dong |
| 2025 | ACL | TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios. | 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 | ACL | CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis. | Bohan Zhang, Xiaokang Zhang, Jing Zhang, Jifan Yu, Sijia Luo, Jie Tang |
| 2025 | CIKM | Learning to Comparison-Shop. | Jie Tang, Daochen Zha, Xin Liu, Huiji Gao, Liwei He, Stephanie Moyerman, Sanjeev Katariya |
| 2025 | CVPR | NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results. | Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Xiangyu Kong, Xiaoxuan Yu, Hyunhee Park, Suejin Han, Hakjae Jeon, Dafeng Zhang, Hyung-Ju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Lu Zhao, Yuyi Zhang, Pengyu Yan, Jiawei Hu, Pengwei Liu, Fengjun Guo, Hongyuan Yu, Pufan Xu, Zhijuan Huang, Shuyuan Cui, Peng Guo, Jiahui Liu, Dongkai Zhang, Heng Zhang, Huiyuan Fu, Huadong Ma, Yanhui Guo, Sisi Tian, Xin Li, Jinwen Liang, Jie Liu, Jie Tang, Gangshan Wu, Zeyu Xiao, Zhuoyuan Li, Yinxiang Zhang, Wenxuan Cai, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, G. Gyaneshwar Rao, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Marcos V. Conde, Alejandro Merino, Bruno Longarela, Javier Abad, Weijun Yuan, Zhan Li, Zhanglu Chen, Boyang Yao, Aagam Jain, Milan Kumar Singh, Ankit Kumar, Shubh Kawa, Divyavardhan Singh, Anjali Sarvaiya, Kishor P. Upla, Raghavendra Ramachandra, Chia-Ming Lee, Yu-Fan Lin, Chih-Chung Hsu, Risheek V. Hiremath, Palani Yashaswini, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Jingwei Liao, Yuqing Yang, Wenda Shao, Junyi Zhao, Qisheng Xu, Kele Xu, Sunder Ali Khowaja, Ik Hyun Lee, Snehal Singh Tomar, Rajarshi Ray, Klaus Mueller, Sachin Chaudhary, Surya Vashisth, Akshay Dudhane, Praful Hambarde, Satya Naryan Tazi, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Zahra Moammeri, Ahmad Mahmoudi-Aznaveh, Ali Karbasi, Hossein Motamednia, Liangyan Li, Guanhua Zhao, Kevin Le, Yimo Ning, Haoxuan Huang, Jun Chen |
| 2025 | CVPR | MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models. | Wenyi Hong, Yean Cheng, Zhuoyi Yang, Weihan Wang, Lefan Wang, Xiaotao Gu, Shiyu Huang, Yuxiao Dong, Jie Tang |
| 2025 | CVPR | CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution. | Xin Liu, Jie Liu, Jie Tang, Gangshan Wu |
| 2025 | CVPR | AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning. | Yuheng Xu, Shijie Yang, Xin Liu, Jie Liu, Jie Tang, Gangshan Wu |
| 2025 | EMNLP | Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models. | Qihang Ma, Shengyu Li, Jie Tang, Dingkang Yang, Chenshaodong, Yingyi Zhang, Chao Feng, Ran Jiao |
| 2025 | GLOBECOM | Rotatable Antenna Enhanced Integrated Sensing and Communication. | Qingjie Wu, Beixiong Zheng, Changsheng You, Jie Tang |
| 2025 | HCI | An Empirical Study on the Technological Acceptance of AIGC in Design Education: A Multidimensional Analysis Based on Structural Equation Modeling. | Ye Chen, Jie Tang |
| 2025 | ICCV | VPO: Aligning Text-to-Video Generation Models with Prompt Optimization. | 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 | ICCV | AIM 2025 Challenge on Robust Offline Video Super-Resolution: Dataset, Methods and Results. | Nikolai Karetin, Ivan Molodetskikh, Dmitry Vatolin, Radu Timofte, Yixin Yang, Junyang Chen, Jiangxin Dong, Jinshan Pan, Zhihao Liu, Lishen Qu, Shihao Zhou, Jufeng Yang, Yuxuan Jiang, Siyue Teng, Chengxi Zeng, Fan Zhang, David Bull, Qi Tang, Jie Liu, Jie Tang, Gangshan Wu |
| 2025 | ICCV | LVBench: An Extreme Long Video Understanding Benchmark. | Weihan Wang, Zehai He, Wenyi Hong, Yean Cheng, Xiaohan Zhang, Ji Qi, Ming Ding, Xiaotao Gu, Shiyu Huang, Bin Xu, Yuxiao Dong, Jie Tang |
| 2025 | ICLR | LongWriter: Unleashing 10, 000+ Word Generation from Long Context LLMs. | Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li |
| 2025 | ICLR | SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. | Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ICLR | Understanding the Stability-based Generalization of Personalized Federated Learning. | Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao |
| 2025 | ICLR | VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents. | 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 | ICLR | CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning. | Ji Qi, Ming Ding, Weihan Wang, Yushi Bai, Qingsong Lv, Wenyi Hong, Bin Xu, Lei Hou, Juanzi Li, Yuxiao Dong, Jie Tang |
| 2025 | ICLR | WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning. | 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 | ICLR | CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. | 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 | ICLR | Scaling Speech-Text Pre-training with Synthetic Interleaved Data. | Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang |
| 2025 | ICML | ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. | Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang |
| 2025 | ICML | T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling. | Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong |
| 2025 | ICML | A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models. | Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang |
| 2025 | KDD | GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model. | Yunhe Pang, Bo Chen, Fanjin Zhang, Yanghui Rao, Evgeny Kharlamov, Jie Tang |
| 2024 | AAAI | Sketch and Refine: Towards Fast and Accurate Lane Detection. | Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu |
| 2024 | AAAI | TriSampler: A Better Negative Sampling Principle for Dense Retrieval. | Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang |
| 2024 | ACL | LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. | 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 | ACL | Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. | Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang |
| 2024 | ACL | OpenWebAgent: An Open Toolkit to Enable Web Agents on Large Language Models. | Iat Long Iong, Xiao Liu, Yuxuan Chen, Hanyu Lai, Shuntian Yao, Pengbo Shen, Hao Yu, Yuxiao Dong, Jie Tang |
| 2024 | ACL | CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. | 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 | ACL | AlignBench: Benchmarking Chinese Alignment of Large Language Models. | 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 | ACL | AutoRE: Document-Level Relation Extraction with Large Language Models. | Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang |
| 2024 | ACL | Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. | Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang |
| 2024 | ACL | AgentTuning: Enabling Generalized Agent Abilities for LLMs. | Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang |
| 2024 | ACL | Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. | Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang |
| 2024 | ACL | SafetyBench: Evaluating the Safety of Large Language Models. | Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang |
| 2024 | ACL | NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries. | Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Yuxiao Dong, Jie Tang |
| 2024 | CVPR | CogAgent: A Visual Language Model for GUI Agents. | Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxiao Dong, Ming Ding, Jie Tang |
| 2024 | CVPR | Bilateral Propagation Network for Depth Completion. | Jie Tang, Fei-Peng Tian, Boshi An, Jian Li, Ping Tan |
| 2024 | ECCV | GTPT: Group-Based Token Pruning Transformer for Efficient Human Pose Estimation. | Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang |
| 2024 | ECCV | Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer. | Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang |
| 2024 | ECCV | CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. | Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang |
| 2024 | EMNLP | Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. | Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su |
| 2024 | EMNLP | LongAlign: A Recipe for Long Context Alignment of Large Language Models. | Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li |
| 2024 | EMNLP | AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. | Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | EMNLP | ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. | 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 | EMNLP | LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. | Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang |
| 2024 | EMNLP | CharacterGLM: Customizing Social Characters with Large Language Models. | 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 | ICLR | AgentBench: Evaluating LLMs as Agents. | 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 | ICLR | Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. | Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang |
| 2024 | ICLR | KoLA: Carefully Benchmarking World Knowledge of Large Language Models. | 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 | ICML | Towards Efficient Exact Optimization of Language Model Alignment. | Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang |
| 2024 | ISCAS | DP-FFN: Block-Based Dynamic Pooling for Accelerating Feed-Forward Layers in Transformers. | Jie Tang, Shuai Wang, Song Chen, Yi Kang |
| 2024 | KDD | Generative AI Day. | Jie Tang, Yuxiao Dong, Michalis Vazirgiannis |
| 2024 | KDD | Multi-objective Learning to Rank by Model Distillation. | Jie Tang, Huiji Gao, Liwei He, Sanjeev Katariya |
| 2024 | KDD | AutoWebGLM: A Large Language Model-based Web Navigating Agent. | Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang |
| 2024 | KDD | The First Workshop on AI Behavioral Science. | Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie |
| 2023 | AAAI | From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution. | Jie Liu, Chao Chen, Jie Tang, Gangshan Wu |
| 2023 | AAAI | MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis. | Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, Jie Tang |
| 2023 | ACL | Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method. | Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang |
| 2023 | ACL | GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. | Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang |
| 2023 | CIKM | GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. | Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li, Jie Tang |
| 2023 | CIKM | Detecting Social Bot on the Fly using Contrastive Learning. | Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Jie Tang |
| 2023 | DAC | Invited: Autonomous Driving Digital Twin Empowered Design Automation: An Industry Perspective. | Bo Yu, Jie Tang, Shaoshan Liu |
| 2023 | EMNLP | FFAEval: Evaluating Dialogue System via Free-For-All Ranking. | Zeyao Ma, Zijun Yao, Jing Zhang, Jifan Yu, Xiaohan Zhang, Juanzi Li, Jie Tang |
| 2023 | EMNLP | Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. | Weng Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Jiahua Liu, Tao Li, Yuxiao Dong, Jie Tang |
| 2023 | GLOBECOM | Intelligent Reflecting Surface Aided High-Speed Train Communications with Relaying: Joint Active and Passive Beamforming Design. | Jie Feng, Beixiong Zheng, Changsheng You, Xue Xiong, Jie Tang, Fangjiong Chen |
| 2023 | GLOBECOM | Achieving Unconstrained Signal Design for ISAC: Non-Coherent Processing and Beamforming Scheme. | Lutian Shen, Jie Tang, Ruoyan Ma, Junyuan Fan, Xiuyin Zhang |
| 2023 | GLOBECOM | Energy-aware Routing Protocol for UAV Electronic Warfare using Graph Attention and Fuzzy Reward. | Zihao Zhou, Jie Tang, Wanmei Feng, Kai-Kit Wong |
| 2023 | HCI | The Study of Sustainable Design for Child-Friendly Urban Public Spaces. | Xing Ji, YaLin Yang, Jie Tang |
| 2023 | HCI | Application of Mathematical Logic in Modern Design. | Jie Tang, Xing Ji |
| 2023 | ICASSP | CPD-GAN: Cascaded Pyramid Deformation GAN for Pose Transfer. | Yuan Huang, Yuting Tang, Xiu Zheng, Jie Tang |
| 2023 | ICASSP | Reliable Cluster-Based Framework for Open Set Domain Adaptation. | Xiu Zheng, Yuan Huang, Jie Tang |
| 2023 | ICCV | Robust Object Modeling for Visual Tracking. | Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu |
| 2023 | ICDE | Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). | Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang |
| 2023 | ICDM | On Computing Paradigms - Where Will Large Language Models Be Going. | Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang |
| 2023 | ICLR | CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers. | Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang |
| 2023 | ICLR | GLM-130B: An Open Bilingual Pre-trained Model. | 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 | IJCAI | Video Frame Interpolation with Densely Queried Bilateral Correlation. | Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu |
| 2023 | KDD | Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit. | Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang |
| 2023 | KDD | WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. | Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang |
| 2023 | KDD | Optimizing Airbnb Search Journey with Multi-task Learning. | Chun How Tan, Austin Chan, Malay Haldar, Jie Tang, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya |
| 2022 | AAAI | CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking. | Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang |
| 2022 | ACL | GLM: General Language Model Pretraining with Autoregressive Blank Infilling. | Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang |
| 2022 | ACL | P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. | Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Tam, Zhengxiao Du, Zhilin Yang, Jie Tang |
| 2022 | ACL | DeepStruct: Pretraining of Language Models for Structure Prediction. | Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song |
| 2022 | ACL | HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese. | Daniel Zhang-li, Jing Zhang, Jifan Yu, Xiaokang Zhang, Peng Zhang, Jie Tang, Juanzi Li |
| 2022 | ACL | Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. | Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen |
| 2022 | ACL | FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. | Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang |
| 2022 | ACL | FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. | Jing Zhou, Yanan Zheng, Jie Tang, Li Jian, Zhilin Yang |
| 2022 | CVPR | Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. | Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu |
| 2022 | CVPR | NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. | Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang |
| 2022 | CVPR | BodyGAN: General-purpose Controllable Neural Human Body Generation. | Chaojie Yang, Hanhui Li, Shengjie Wu, Shengkai Zhang, Haonan Yan, Nianhong Jiao, Jie Tang, Runnan Zhou, Xiaodan Liang, Tianxiang Zheng |
| 2022 | EMNLP | Parameter-Efficient Tuning Makes a Good Classification Head. | Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, Jie Tang |
| 2022 | GLOBECOM | Energy-Efficient Resource Allocation for IRS-aided MISO System with SWIPT. | Jie Tang, Ziyao Peng, Zihao Zhou, Daniel K. C. So, Xiuyin Zhang, Kai-Kit Wong |
| 2022 | GLOBECOM | Uplink Secure Communication via Intelligent Reflecting Surface and Energy-Harvesting Jammer. | Tiantian Qiao, Yang Cao, Jie Tang, Nan Zhao, Kai-Kit Wong |
| 2022 | HCI | Research on Training Model of Design Talents Based on Well-Being Cultural Industry. | Xing Ji, Jie Tang, Jing Wang |
| 2022 | HCI | Research and Re Practice of Oyster Shell Architectural Culture. | Jie Tang, Xing Ji |
| 2022 | ICASSP | Two Strategies Toward Lightweight Image Super-Resolution. | Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu |
| 2022 | ICASSP | Pyramid Fusion Attention Network For Single Image Super-Resolution. | Hao He, Zongcai Du, Wenfeng Li, Jie Tang, Gangshan Wu |
| 2022 | ICASSP | Hierarchical Feature Aggregation Network for Deep Image Compression. | Wenfeng Li, Zongcai Du, Hao He, Jie Tang, Gangshan Wu |
| 2022 | ICDE | Hierarchical Representation Learning for Attributed Networks. | Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu |
| 2022 | ICIP | A Noise Preserving Sharpening Filter for CT Image Enhancement. | Madhuri Nagare, Jie Tang, Obaidullah Rahman, Brian Nett, Roman Melnyk, Ken D. Sauer, Charles A. Bouman |
| 2022 | ICIS | The Dark Side of Dark Mode: How Does Screen Display Mode Affect Financial Crimes. | Jie Tang, Zhenhui Jiang |
| 2022 | ICML | GACT: Activation Compressed Training for Generic Network Architectures. | 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 | IJCAI | Rethinking the Setting of Semi-supervised Learning on Graphs. | Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang |
| 2022 | KDD | Toward Graph Minimally-Supervised Learning. | Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu |
| 2022 | KDD | GraphMAE: Self-Supervised Masked Graph Autoencoders. | Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang |
| 2022 | KDD | OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. | Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang |
| 2022 | KDD | Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. | Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang |
| 2021 | ASPDAC | On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study. | Bo Yu, Jie Tang, Shaoshan Liu |
| 2021 | CIKM | Talking Face Generation Based on Information Bottleneck and Complementary Representations. | Jie Tang, Yiling Wu, Minglei Li, Zhu Wang |
| 2021 | CIKM | MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. | 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 | COMPSAC | Streaming Data Priority Scheduling Framework for Autonomous Driving by Edge. | Lingbing Yao, Hang Zhao, Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot |
| 2021 | CVPR | Anchor-Based Plain Net for Mobile Image Super-Resolution. | Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu |
| 2021 | DAC | Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities. | Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu |
| 2021 | EMNLP | Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. | Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song |
| 2021 | GLOBECOM | Offset Learning based Channel Estimation for IRS-Assisted Indoor Communication. | Zhen Chen, Hengbin Tang, Jie Tang, Xiu Yin Zhang, Qingqing Wu, Shi Jin, Kai-Kit Wong |
| 2021 | GLOBECOM | SINR Maximization for RIS-Assisted Secure Dual-Function Radar Communication Systems. | Sisai Fang, Gaojie Chen, Peng Xu, Jie Tang, Jonathon A. Chambers |
| 2021 | GLOBECOM | Energy Efficiency Optimization for D2D communications in UAV-assisted Networks with SWIPT. | Zhijie Su, Jie Tang, Wanmei Feng, Zhen Chen, Yuli Fu, Kai-Kit Wong |
| 2021 | HPCA | Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines Industry Track Paper. | Yiming Gan, Bo Yu, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu |
| 2021 | ICASSP | Learning Discriminative Features for Semi-Supervised Anomaly Detection. | Zhe Feng, Jie Tang, Yishun Dou, Gangshan Wu |
| 2021 | ICASSP | Lightweight Human Pose Estimation under Resource-Limited Scenes. | Zhe Zhang, Jie Tang, Gangshan Wu |
| 2021 | IJCAI | Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. | Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov |
| 2021 | KDD | The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021). | Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang |
| 2021 | KDD | MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. | Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang |
| 2021 | KDD | Graph Representation Learning: Foundations, Methods, Applications and Systems. | 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 | KDD | M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. | Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang |
| 2021 | KDD | Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. | Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang |
| 2020 | ACL | MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. | 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 | CVPR | Residual Feature Aggregation Network for Image Super-Resolution. | Jie Liu, Wenjie Zhang, Yuting Tang, Jie Tang, Gangshan Wu |
| 2020 | DASFAA | MRMRP: Multi-source Review-Based Model for Rating Prediction. | Xiaochen Wang, Tingsong Xiao, Jie Tang, Deqiang Ouyang, Jie Shao |
| 2020 | ECAI | Belief Map Enhancement Network for Accurate Human Pose Estimation. | Jie Liu, Yishun Dou, Wenjie Zhang, Jie Tang, Gangshan Wu |
| 2020 | ECCV | Residual Feature Distillation Network for Lightweight Image Super-Resolution. | Jie Liu, Jie Tang, Gangshan Wu |
| 2020 | ECCV | AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. | Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, ric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni |
| 2020 | EMNLP | Blockwise Self-Attention for Long Document Understanding. | Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang |
| 2020 | HCI | Infiltration of Sustainable Environmental Space Service Design in a Cross-Cultural Context. | Xing Ji, LiuYing Huang, ChengYao Cai, Jie Tang |
| 2020 | HCI | New Digital Media Technologies Put Forth Cross-domain Design. | Jie Tang, ChengYao Cai, LiuYing Huang, Xing Ji |
| 2020 | ICASSP | Low Complexity Single Image Super-Resolution with Channel Splitting and Fusion Network. | Minqiang Zou, Jie Tang, Gangshan Wu |
| 2020 | IJCAI | Heterogeneous Network Representation Learning. | Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang |
| 2020 | IJCNLP | ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs. | Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Minlie Huang, Zhiyuan Liu |
| 2020 | IROS | π-Map: A Decision-Based Sensor Fusion with Global Optimization for Indoor Mapping. | Zhiliu Yang, Bo Yu, Wei Hu, Jie Tang, Shaoshan Liu, Chen Liu |
| 2020 | KDD | Controllable Multi-Interest Framework for Recommendation. | Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang |
| 2020 | KDD | GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. | Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang |
| 2019 | AAAI | Understanding Dropouts in MOOCs. | Wenzheng Feng, Jie Tang, Tracy Xiao Liu |
| 2019 | ACL | Cognitive Graph for Multi-Hop Reading Comprehension at Scale. | Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang |
| 2019 | ACL | Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. | Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang |
| 2019 | EDM | Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. | Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang |
| 2019 | EMNLP | Towards Knowledge-Based Recommender Dialog System. | Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang |
| 2019 | GLOBECOM | On Energy Harvesting of Hybrid TDMA-NOMA Systems. | Haitham Moffaqq Al-Obiedollah, Kanapathippillai Cumanan, Alister G. Burr, Jie Tang, Yogachandran Rahulamathavan, Zhiguo Ding, Octavia A. Dobre |
| 2019 | GLOBECOM | A Reinforcement Learning Approach for D2D-Assisted Cache-Enabled HetNets. | Jie Tang, Hengbin Tang, Nan Zhao, Kanapathippillai Cumanan, Shunqing Zhang, Yongjin Zhou |
| 2019 | HPCC | Energy-Efficient Data Caching Framework for Spark in Hybrid DRAM/NVM Memory Architectures. | Bo Wang, Jie Tang, Rui Zhang, Wei Ding, Shaoshan Liu, Deyu Qi |
| 2019 | ICIS | Reposts Influencing the Effectiveness of Social Reporting System: An Empirical Study from Sina Weibo. | Jie Tang, Ka Chung Ng |
| 2019 | IJCAI | Network Embedding under Partial Monitoring for Evolving Networks. | Yu Han, Jie Tang, Qian Chen |
| 2019 | IJCAI | ProNE: Fast and Scalable Network Representation Learning. | Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding |
| 2019 | IJCAI | Large Scale Evolving Graphs with Burst Detection. | Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang |
| 2019 | KDD | Representation Learning for Attributed Multiplex Heterogeneous Network. | Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | KDD | Towards Knowledge-Based Personalized Product Description Generation in E-commerce. | Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | KDD | Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. | Xichen Ding, Jie Tang, Tracy Xiao Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen |
| 2019 | KDD | Sequential Scenario-Specific Meta Learner for Online Recommendation. | Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang |
| 2019 | KDD | Learning From Networks: Algorithms, Theory, and Applications. | Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu |
| 2018 | ACML | Fast Randomized PCA for Sparse Data. | Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang |
| 2018 | CIKM | Semi-supervised Learning on Graphs with Generative Adversarial Nets. | Ming Ding, Jie Tang, Jie Zhang |
| 2018 | COMPSAC | Teaching Autonomous Driving Using a Modular and Integrated Approach. | Jie Tang, Shaoshan Liu, Songwen Pei, Stphane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot |
| 2018 | GLOBECOM | Mobility Improves NOMA Physical Layer Security. | Jie Tang, Long Jiao, Ning Wang, Pu Wang, Kai Zeng, Hong Wen |
| 2018 | GLOBECOM | Energy-Efficient Resource Allocation in SWIPT Enabled NOMA Systems. | Jie Tang, Jingci Luo, Daniel K. C. So, Emad Alsusa, Kai-Kit Wong, Nan Zhao |
| 2018 | HCI | From Traditional Culture to Lifestyle - A Case Study on Local Specialties in the Lingnan Area. | Zhaoqi Wu, Xiao Song, Jie Shen, Jie Tang |
| 2018 | ICA3PP | CuAPSS: A Hybrid CUDA Solution for AllPairs Similarity Search. | Yilin Feng, Jie Tang, Chongjun Wang, Junyuan Xie |
| 2018 | ICA3PP | A Parallel Method for All-Pair SimRank Similarity Computation. | Xuan Huang, Xingkun Gao, Jie Tang, Gangshan Wu |
| 2018 | ICANN | Interactive Area Topics Extraction with Policy Gradient. | Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong |
| 2018 | IJCAI | Weakly Learning to Match Experts in Online Community. | Yujie Qian, Jie Tang, Kan Wu |
| 2018 | IJCAI | Cross-Domain Depression Detection via Harvesting Social Media. | Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall |
| 2018 | IJCAI | Where Have You Been? Inferring Career Trajectory from Academic Social Network. | Kan Wu, Jie Tang, Chenhui Zhang |
| 2018 | INFOCOM | A comparative analysis of school pupils' daily habits in Germany and China. | Xiaoming Fu, Hong Huang, Xiang-Yang Li, Haisheng Tan, Jie Tang |
| 2018 | IROS | π-SoC: Heterogeneous SoC Architecture for Visual Inertial SLAM Applications. | Jie Tang, Bo Yu, Shaoshan Liu, Zhe Zhang, Weikang Fang, Yanjun Zhang |
| 2018 | ICTAI | Fast Document Cosine Similarity Self-Join on GPUs. | Yilin Feng, Jie Tang, Meilin Liu, Chongjun Wang, Junyuan Xie |
| 2018 | ISPA | LCRC: A Dependency-Aware Cache Management Policy for Spark. | Bo Wang, Jie Tang, Rui Zhang, Wei Ding, Deyu Qi |
| 2018 | KDD | DeepInf: Social Influence Prediction with Deep Learning. | Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang |
| 2017 | AAAI | Word Embedding Based Correlation Model for Question/Answer Matching. | Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong |
| 2017 | AAAI | Cross-Domain Ranking via Latent Space Learning. | Jie Tang, Wendy Hall |
| 2017 | AAAI | StructInf: Mining Structural Influence from Social Streams. | Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun |
| 2017 | ACL | Prerequisite Relation Learning for Concepts in MOOCs. | Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang |
| 2017 | CIKM | BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. | Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou |
| 2017 | EDM | Can AI help MOOCs? | Jie Tang |
| 2017 | ICDM | iNEAT: Incomplete Network Alignment. | Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan |
| 2017 | IJCAI | Who to Invite Next? Predicting Invitees of Social Groups. | Yu Han, Jie Tang |
| 2017 | IJCNLP | Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. | Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang |
| 2017 | IJCNN | Deep convolutional neural networks for pedestrian detection with skip pooling. | Jie Liu, Xingkun Gao, Nianyuan Bao, Jie Tang, Gangshan Wu |
| 2017 | ISPA | Improving Scheduling Efficiency of Hadoop YARN Using AFSA Algorithm. | Jie Tang, Junlei Gao, Gangshan Wu |
| 2016 | AAAI | Social Role-Aware Emotion Contagion in Image Social Networks. | Yang Yang, Jia Jia, Boya Wu, Jie Tang |
| 2016 | CIKM | BigNet 2016: First Workshop on Big Network Analytics. | Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang |
| 2016 | GLOBECOM | Design and Analysis of Full-Duplex Massive MIMO Cellular Networks. | Arman Shojaeifard, Kai-Kit Wong, Marco Di Renzo, Khairi Ashour Hamdi, Jie Tang |
| 2016 | ICDE | The prediction of venture capital co-investment based on structural balance theory. | Yun Zhou, Zhiyuan Wang, Jie Tang, Jarder Luo |
| 2016 | ICPADS | Scalable Single-Source SimRank Computation for Large Graphs. | Xingkun Gao, Nianyuan Bao, Jie Liu, Jie Tang, Gangshan Wu |
| 2016 | IJCAI | Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. | Zhilin Yang, Jie Tang, William W. Cohen |
| 2016 | KDD | QUINT: On Query-Specific Optimal Networks. | Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong |
| 2015 | AAAI | Sampling Representative Users from Large Social Networks. | Jie Tang, Chenhui Zhang, Keke Cai, Li Zhang, Zhong Su |
| 2015 | AAAI | RAIN: Social Role-Aware Information Diffusion. | Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang |
| 2015 | ACL | Learning Topic Hierarchies for Wikipedia Categories. | Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu |
| 2015 | EMNLP | Name List Only? Target Entity Disambiguation in Short Texts. | Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji, Jie Tang |
| 2015 | ICA3PP | A New Data Replication Scheme for PVFS2. | Nianyuan Bao, Jie Tang, Xiaoyu Zhang, Gangshan Wu |
| 2015 | ICA3PP | Pre-stack Kirchhoff Time Migration on Hadoop and Spark. | Chen Yang, Jie Tang, Heng Gao, Gangshan Wu |
| 2015 | ICA3PP | A Dynamic Extension and Data Migration Method Based on PVFS. | Xiaoyu Zhang, Jie Tang, Heng Gao, Gangshan Wu |
| 2015 | ICDM | Beyond Query: Interactive User Intention Understanding. | Yang Yang, Jie Tang |
| 2015 | IJCAI | Uncovering the Formation of Triadic Closure in Social Networks. | Zhanpeng Fang, Jie Tang |
| 2015 | IROS | Automatic laser ablation control algorithm for an novel endoscopic laser ablation end effector for precision neurosurgery. | Baiquan Su, Jie Tang, Hongen Liao |
| 2015 | KDD | CoupledLP: Link Prediction in Coupled Networks. | Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, Bai Wang |
| 2015 | KDD | Probabilistic Community and Role Model for Social Networks. | Yu Han, Jie Tang |
| 2014 | AAAI | Role-Aware Conformity Modeling and Analysis in Social Networks. | Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juan-Zi Li |
| 2014 | AAAI | Cross-Lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis. | Zhigang Wang, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang, Kuo Zhang, Kun Zhang |
| 2014 | AAAI | How Do Your Friends on Social Media Disclose Your Emotions? | Yang Yang, Jia Jia, Shumei Zhang, Boya Wu, Qicong Chen, Juanzi Li, Chunxiao Xing, Jie Tang |
| 2014 | AAAI | Forecasting Potential Diabetes Complications. | Yang Yang, Walter Luyten, Lu Liu, Marie-Francine Moens, Jie Tang, Juanzi Li |
| 2014 | CIKM | Modeling Paying Behavior in Game Social Networks. | Zhanpeng Fang, Xinyu Zhou, Jie Tang, Wei Shao, Alvis Cheuk M. Fong, Longjun Sun, Ying Ding, Ling Zhou, Jarder Luo |
| 2014 | CIKM | AMiner-mini: A People Search Engine for University. | Jingyuan Liu, Debing Liu, Xingyu Yan, Li Dong, Ting Zeng, Yutao Zhang, Jie Tang |
| 2014 | CIKM | Active Learning for Streaming Networked Data. | Zhilin Yang, Jie Tang, Yutao Zhang |
| 2014 | GLOBECOM | Energy efficiency in multi-cell MIMO broadcast channels with interference alignment. | Jie Tang, Daniel K. C. So, Emad Alsusa, Khairi Ashour Hamdi, Arman Shojaeifard |
| 2014 | ICDM | Flow-Based Influence Graph Visual Summarization. | Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin |
| 2014 | ICDM | Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. | Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan am, Xifeng Yan, Jiawei Han |
| 2014 | ICML | On Modelling Non-linear Topical Dependencies. | Zhixing Li, Siqiang Wen, Juanzi Li, Peng Zhang, Jie Tang |
| 2014 | KDD | Inferring user demographics and social strategies in mobile social networks. | Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, Nitesh V. Chawla |
| 2014 | KDD | Recommendation in social media: recent advances and new frontiers. | Jiliang Tang, Jie Tang, Huan Liu |
| 2013 | ACL | Transfer Learning Based Cross-lingual Knowledge Extraction for Wikipedia. | Zhigang Wang, Zhixing Li, Juanzi Li, Jie Tang, Jeff Z. Pan |
| 2013 | APWEB | Accelerating Topic Model Training on a Single Machine. | Mian Lu, Ge Bai, Qiong Luo, Jie Tang, Jiuxin Zhao |
| 2013 | CIKM | Mining diabetes complication and treatment patterns for clinical decision support. | Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary |
| 2013 | HPCC | A MapReduce Computing Framework Based on GPU Cluster. | Heng Gao, Jie Tang, Gangshan Wu |
| 2013 | ICDM | Influence Maximization in Dynamic Social Networks. | Honglei Zhuang, Yihan Sun, Jie Tang, Jialin Zhang, Xiaoming Sun |
| 2013 | IJCAI | What Users Care About: A Framework for Social Content Alignment. | Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang |
| 2013 | IJCAI | Boosting Cross-Lingual Knowledge Linking via Concept Annotation. | Zhichun Wang, Juanzi Li, Jie Tang |
| 2013 | IJCAI | Social Influence Locality for Modeling Retweeting Behaviors. | Jing Zhang, Biao Liu, Jie Tang, Ting Chen, Juanzi Li |
| 2012 | CIKM | Mining topic-level opinion influence in microblog. | Daifeng Li, Xin Shuai, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo |
| 2012 | CIKM | Mining competitive relationships by learning across heterogeneous networks. | Yang Yang, Jie Tang, Jacklyne Keomany, Yanting Zhao, Juanzi Li, Ying Ding, Tian Li, Liangwei Wang |
| 2012 | DASFAA | Plink-LDA: Using Link as Prior Information in Topic Modeling. | Huan Xia, Juanzi Li, Jie Tang, Marie-Francine Moens |
| 2012 | ICDM | Link Prediction and Recommendation across Heterogeneous Social Networks. | Yuxiao Dong, Jie Tang, Sen Wu, Jilei Tian, Nitesh V. Chawla, Jinghai Rao, Huanhuan Cao |
| 2012 | ICDM | Accurate Product Name Recognition from User Generated Content. | Sen Wu, Zhanpeng Fang, Jie Tang |
| 2012 | ICRA | A textured object recognition pipeline for color and depth image data. | Jie Tang, Stephen Miller, Arjun Singh, Pieter Abbeel |
| 2011 | CIKM | Who will follow you back?: reciprocal relationship prediction. | John E. Hopcroft, Tiancheng Lou, Jie Tang |
| 2011 | CIKM | Citation count prediction: learning to estimate future citations for literature. | Rui Yan, Jie Tang, Xiaobing Liu, Dongdong Shan, Xiaoming Li |
| 2011 | GLOBECOM | An integer linear programming and game theory based optimization for demand-side management in smart grid. | Ziming Zhu, Jie Tang, Sangarapillai Lambotharan, Woon Hau Chin, Zhong Fan |
| 2011 | ICDM | Detecting Community Kernels in Large Social Networks. | Liaoruo Wang, Tiancheng Lou, Jie Tang, John E. Hopcroft |
| 2011 | ICDM | ADANA: Active Name Disambiguation. | Xuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu |
| 2011 | ICRA | Modeling and perception of deformable one-dimensional objects. | Shervin Javdani, Sameep Tandon, Jie Tang, James F. O'Brien, Pieter Abbeel |
| 2010 | AAAI | Accounting Mechanisms for Distributed Work Systems. | Sven Seuken, Jie Tang, David C. Parkes |
| 2010 | CIKM | Recommendation based on object typicality. | Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, Juanzi Li |
| 2010 | CIKM | Community-based topic modeling for social tagging. | Daifeng Li, Bing He, Ying Ding, Jie Tang, Cassidy R. Sugimoto, Zheng Qin, Erjia Yan, Juanzi Li, Tianxi Dong |
| 2010 | CIKM | Mining topic-level influence in heterogeneous networks. | Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang Yang |
| 2010 | CIKM | Identifying new categories in community question answering archives: a topic modeling approach. | Yajie Miao, Chunping Li, Jie Tang, Lili Zhao |
| 2010 | CIKM | Combining link and content for collective active learning. | Lixin Shi, Yuhang Zhao, Jie Tang |
| 2010 | CIKM | Understanding retweeting behaviors in social networks. | Zi Yang, Jingyi Guo, Keke Cai, Jie Tang, Juanzi Li, Li Zhang, Zhong Su |
| 2010 | CIS | Soft Information Improvement for PN Sequence Iterative Acquisition. | Wei Wang, Nianke Zong, Jie Tang, Sangarapillai Lambotharan |
| 2010 | ICDM | Term Filtering with Bounded Error. | Zi Yang, Wei Li, Jie Tang, Juanzi Li |
| 2010 | ICDM | MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model. | Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jinghai Rao |
| 2010 | ICRA | Parameterized maneuver learning for autonomous helicopter flight. | Jie Tang, Arjun Singh, Nimbus Goehausen, Pieter Abbeel |
| 2010 | ICTAI | TyCo: Towards Typicality-based Collaborative Filtering Recommendation. | Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, Juanzi Li |
| 2010 | ISPA | Interective Point Clouds Fairing on Many-Core System. | Jie Tang, Gangshan Wu, Bo Xu, Zhongliang Gong |
| 2009 | CIKM | Heterogeneous cross domain ranking in latent space. | Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, Yanzhu Liu |
| 2009 | CIKM | A tag recommendation system for folksonomy. | Ning Zhang, Yuan Zhang, Jie Tang |
| 2009 | ICDM | Topic Distributions over Links on Web. | Jie Tang, Jing Zhang, Jeffrey Xu Yu, Zi Yang, Keke Cai, Rui Ma, Li Zhang, Zhong Su |
| 2009 | IJCAI | Towards Ontology Learning from Folksonomies. | Jie Tang, Ho-fung Leung, Qiong Luo, Dewei Chen, Jibin Gong |
| 2009 | KDD | Social influence analysis in large-scale networks. | Jie Tang, Jimeng Sun, Chi Wang, Zi Yang |
| 2008 | CIKM | Academic conference homepage understanding using constrained hierarchical conditional random fields. | Xin Xin, Juanzi Li, Jie Tang, Qiong Luo |
| 2008 | ICDM | A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search. | Jie Tang, Ruoming Jin, Jing Zhang |
| 2007 | ACL | A Unified Tagging Approach to Text Normalization. | Conghui Zhu, Jie Tang, Hang Li, Hwee Tou Ng, Tiejun Zhao |
| 2007 | CIKM | A constraint-based probabilistic framework for name disambiguation. | Duo Zhang, Jie Tang, Juan-Zi Li, Kehong Wang |
| 2007 | COMPSAC | Verification of Web Service Conversations Specified in WSCL. | Zhifeng Gu, Juan-Zi Li, Jie Tang, Bin Xu, Ruobo Huang |
| 2007 | DASFAA | Expert Finding in a Social Network. | Jing Zhang, Jie Tang, Juan-Zi Li |
| 2007 | ICDM | Social Network Extraction of Academic Researchers. | Jie Tang, Duo Zhang, Limin Yao |
| 2006 | APWEB | Semantic Similarity Based Ontology Cache. | Bangyong Liang, Jie Tang, Juan-Zi Li, Kehong Wang |
| 2006 | APWEB | Table Detection from Plain Text Using Machine Learning and Document Structure. | Juan-Zi Li, Jie Tang, Qiang Song, Peng Xu |
| 2006 | APWEB | Weighted Ontology-Based Search Exploiting Semantic Similarity. | Kuo Zhang, Jie Tang, MingCai Hong, Juan-Zi Li, Wei Wei |
| 2005 | ICCSA | Feature-Correlation Based Multi-view Detection. | Kuo Zhang, Jie Tang, Juan-Zi Li, Kehong Wang |
| 2005 | KDD | Email data cleaning. | Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang |
| 2004 | APWEB | Loss Minimization Based Keyword Distillation. | Jie Tang, Juan-Zi Li, Kehong Wang, Yue-Ru Cai |