Author Information

Jie Tang (Tsinghua University)

Jie Tang is a WeBank Chair Professor of Computer Science at Tsinghua University. He is a Fellow of the ACM, a Fellow of AAAI, and a Fellow of IEEE. His interest is artificial general intelligence (AGI). His research received the SIGKDD Test-of-Time Award (10-year Best Paper). He also received the SIGKDD Service Award. Recently, he puts all efforts into Large Language Models (LLMs): GLM, ChatGLM, etc.

More from the Same Authors

• 2021 : Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning »
  Qinkai Zheng · Xu Zou · Yuxiao Dong · Yukuo Cen · Da Yin · Jiarong Xu · YANG YANG · Jie Tang
• 2023 Poster: 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
• 2023 Panel: Panel: Jie Tang Sasha Rush Aakanksha Chowdhery Angela Fan Percy Liang »
  Alexander Rush · Aakanksha Chowdhery · Angela Fan · Percy Liang · Jie Tang
• 2022 Poster: CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers »
  Ming Ding · Wendi Zheng · Wenyi Hong · Jie Tang
• 2021 Poster: Adaptive Diffusion in Graph Neural Networks »
  Jialin Zhao · Yuxiao Dong · Ming Ding · Evgeny Kharlamov · Jie Tang
• 2021 Poster: 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
• 2021 Poster: 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
• 2021 Poster: 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
• 2020 Poster: 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
• 2020 Oral: 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
• 2020 Poster: A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices »
  Jiezhong Qiu · Chi Wang · Ben Liao · Richard Peng · Jie Tang
• 2020 Poster: CogLTX: Applying BERT to Long Texts »
  Ming Ding · Chang Zhou · Hongxia Yang · Jie Tang
• 2018 Poster: Bandit Learning with Implicit Feedback »
  Yi Qi · Qingyun Wu · Hongning Wang · Jie Tang · Maosong Sun