Tang, Jie

104 publications

ICML 2025 A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang

CVPR 2025 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

CVPR 2025 CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution Xin Liu, Jie Liu, Jie Tang, Gangshan Wu

NeurIPS 2025 Can Large Language Models Master Complex Card Games? Wei Wang, Fuqing Bie, Junzhe Chen, Dan Zhang, Shiyu Huang, Evgeny Kharlamov, Jie Tang

ICLR 2025 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

ICLR 2025 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

NeurIPS 2025 EfficientNav: Towards On-Device Object-Goal Navigation with Navigation mAP Caching and Retrieval Zebin Yang, Sunjian Zheng, Tong Xie, Tianshi Xu, Bo Yu, Fan Wang, Jie Tang, Shaoshan Liu, Meng Li

ICCV 2025 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

ICLR 2025 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

CVPR 2025 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

CVPRW 2025 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

ICLR 2025 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

ICLR 2025 Scaling Speech-Text Pre-Training with Synthetic Interleaved Data Aohan Zeng, Zhengxiao Du, Mingdao Liu, Lei Zhang, Shengmin Jiang, Yuxiao Dong, Jie Tang

AAAI 2025 Small Language Model Makes an Effective Long Text Extractor Yelin Chen, Fanjin Zhang, Jie Tang

ICML 2025 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

ICCV 2025 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

ICLR 2025 VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Song XiXuan, 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

ICLR 2025 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

ICML 2025 ZeroFlow: Overcoming Catastrophic Forgetting Is Easier than You Think Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang

ICLR 2024 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

NeurIPS 2024 Benchmarking Complex Instruction-Following with Multiple Constraints Composition 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

CVPR 2024 Bilateral Propagation Network for Depth Completion Jie Tang, Fei-Peng Tian, Boshi An, Jian Li, Ping Tan

CVPR 2024 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

NeurIPS 2024 CogVLM: Visual Expert for Pretrained Language Models 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

ECCV 2024 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

ECCV 2024 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

ECCV 2024 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

ICLR 2024 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, Xu Bin, Jie Tang, Juanzi Li

ICMLW 2024 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

NeurIPS 2024 MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song

ICMLW 2024 MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song

NeurIPS 2024 REST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang

ICLR 2024 Relay Diffusion: Unifying Diffusion Process Across Resolutions for Image Synthesis Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang

NeurIPS 2024 SciInstruct: A Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang

AAAI 2024 Sketch and Refine: Towards Fast and Accurate Lane Detection Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu

NeurIPS 2024 SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation Zeyao Ma, Bohan Zhang, Jing Zhang, Jifan Yu, Xiaokang Zhang, Xiaohan Zhang, Sijia Luo, Xi Wang, Jie Tang

ICML 2024 Towards Efficient Exact Optimization of Language Model Alignment Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang

NeurIPS 2024 Training Compute-Optimal Protein Language Models Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song

ICMLW 2024 Training Compute-Optimal Protein Language Models Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song

AAAI 2024 TriSampler: A Better Negative Sampling Principle for Dense Retrieval Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang

NeurIPS 2024 Understanding Emergent Abilities of Language Models from the Loss Perspective Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang

ICLR 2023 CogVideo: Large-Scale Pretraining for Text-to-Video Generation via Transformers Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang

AAAI 2023 From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution Jie Liu, Chao Chen, Jie Tang, Gangshan Wu

ICLR 2023 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

NeurIPS 2023 ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong

AAAI 2023 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

ICCV 2023 Robust Object Modeling for Visual Tracking Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu

ECML-PKDD 2023 Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang

IJCAI 2023 Video Frame Interpolation with Densely Queried Bilateral Correlation Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu

CVPR 2022 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

AAAI 2022 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

NeurIPS 2022 CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang

CVPRW 2022 Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu

ICML 2022 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 Mahoney, Alvin Cheung

CVPRW 2022 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

IJCAI 2022 Rethinking the Setting of Semi-Supervised Learning on Graphs Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang

NeurIPS 2022 Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos Bowen Baker, Ilge Akkaya, Peter Zhokov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune

NeurIPS 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-Scale Dynamic Pickup and Delivery Problems Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Tong Xialiang, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng

NeurIPS 2021 Adaptive Diffusion in Graph Neural Networks Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, Jie Tang

CVPRW 2021 Anchor-Based Plain Net for Mobile Image Super-Resolution Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu

NeurIPS 2021 CogView: Mastering Text-to-Image Generation via Transformers Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang

IJCAI 2021 Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov

NeurIPS 2021 UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang

NeurIPS 2020 A Matrix Chernoff Bound for Markov Chains and Its Application to Co-Occurrence Matrices Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang

ECCVW 2020 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, Éric 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, P. S Hrishikesh, 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

NeurIPS 2020 CogLTX: Applying BERT to Long Texts Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang

NeurIPS 2020 Graph Random Neural Networks for Semi-Supervised Learning on Graphs Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang

IJCAI 2020 Heterogeneous Network Representation Learning Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang

ECCVW 2020 Residual Feature Distillation Network for Lightweight Image Super-Resolution Jie Liu, Jie Tang, Gangshan Wu

IJCAI 2019 Large Scale Evolving Graphs with Burst Detection Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, Jie Tang

IJCAI 2019 Network Embedding Under Partial Monitoring for Evolving Networks Yu Han, Jie Tang, Qian Chen

IJCAI 2019 ProNE: Fast and Scalable Network Representation Learning Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding

AAAI 2019 Understanding Dropouts in MOOCs Wenzheng Feng, Jie Tang, Tracy Xiao Liu

NeurIPS 2018 Bandit Learning with Implicit Feedback Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun

IJCAI 2018 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

ACML 2018 Fast Randomized PCA for Sparse Data Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang

ECML-PKDD 2018 POLAR: Attention-Based CNN for One-Shot Personalized Article Recommendation Zhengxiao Du, Jie Tang, Yuhui Ding

IJCAI 2018 Weakly Learning to Match Experts in Online Community Yujie Qian, Jie Tang, Kan Wu

IJCAI 2018 Where Have You Been? Inferring Career Trajectory from Academic Social Network Kan Wu, Jie Tang, Chenhui Zhang

AAAI 2017 Cross-Domain Ranking via Latent Space Learning Jie Tang, Wendy Hall

AAAI 2017 StructInf: Mining Structural Influence from Social Streams Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun

IJCAI 2017 Who to Invite Next? Predicting Invitees of Social Groups Yu Han, Jie Tang

AAAI 2017 Word Embedding Based Correlation Model for Question/Answer Matching Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong

IJCAI 2016 Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs Zhilin Yang, Jie Tang, William W. Cohen

AAAI 2016 Social Role-Aware Emotion Contagion in Image Social Networks Yang Yang, Jia Jia, Boya Wu, Jie Tang

AAAI 2015 RAIN: Social Role-Aware Information Diffusion Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang

AAAI 2015 Sampling Representative Users from Large Social Networks Jie Tang, Chenhui Zhang, Keke Cai, Li Zhang, Zhong Su

ECML-PKDD 2015 The Evolution of Social Relationships and Strategies Across the Lifespan Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, Yang Yang

IJCAI 2015 Uncovering the Formation of Triadic Closure in Social Networks Zhanpeng Fang, Jie Tang

AAAI 2014 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

AAAI 2014 Forecasting Potential Diabetes Complications Yang Yang, Walter Luyten, Lu Liu, Marie-Francine Moens, Jie Tang, Juanzi Li

AAAI 2014 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

ICML 2014 On Modelling Non-Linear Topical Dependencies Zhixing Li, Siqiang Wen, Juanzi Li, Peng Zhang, Jie Tang

AAAI 2014 Role-Aware Conformity Modeling and Analysis in Social Networks Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, Juan-Zi Li

IJCAI 2013 Boosting Cross-Lingual Knowledge Linking via Concept Annotation Zhichun Wang, Juanzi Li, Jie Tang

ECML-PKDD 2013 How Long Will She Call Me? Distribution, Social Theory and Duration Prediction Yuxiao Dong, Jie Tang, Tiancheng Lou, Bin Wu, Nitesh V. Chawla

IJCAI 2013 Social Influence Locality for Modeling Retweeting Behaviors Jing Zhang, Biao Liu, Jie Tang, Ting Chen, Juanzi Li

IJCAI 2013 What Users Care About: A Framework for Social Content Alignment Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang

ECML-PKDD 2012 Inferring Geographic Coincidence in Ephemeral Social Networks Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang

ECML-PKDD 2011 Learning to Infer Social Ties in Large Networks Wenbin Tang, Honglei Zhuang, Jie Tang

MLJ 2011 Topic Level Expertise Search over Heterogeneous Networks Jie Tang, Jing Zhang, Ruoming Jin, Zi Yang, Keke Cai, Li Zhang, Zhong Su

AAAI 2010 Accounting Mechanisms for Distributed Work Systems Sven Seuken, Jie Tang, David C. Parkes

IJCAI 2009 Towards Ontology Learning from Folksonomies Jie Tang, Ho-fung Leung, Qiong Luo, Dewei Chen, Jibin Gong