doi.bio/jie_tang

Jie Tang

Overview

Jie Tang (唐杰 in Chinese) is a Professor of Computer Science at Tsinghua University. His research interests include artificial general intelligence (AGI), data mining, social networks, machine learning, and knowledge graphs. He is known for building the academic social network search system AMiner (formerly ArnetMiner), which has attracted over 30 million users from 220 countries/regions.

Education and Career

Jie Tang was born in 1977 and received his PhD in Computer Science from Tsinghua University in 2006. He is currently a full-time professor at the Department of Computer Science of Tsinghua University.

Awards and Recognition

SIGKDD Test-of-Time Award (2020)
First Prize of Beijing Patent Award (2020)
Second State Science and Technology Prizes (2020)
ACM SIGKDD Service Award (2018)
NSFC Distinguished Young Scholar (2018)
First Prize of Beijing Science and Technology (2017)
Microsoft Research Asia Collaborative Research Award (2016)
Newton Advanced Fellowship Award (2015)
First Prize of Chinese Association of AI (CAAI) (2013)
CCF Young Scientist Award (2012)
NSFC Excellent Young Scholar (2012)
Beijing Science and Technology Star (2011)
SCOPUS National Youth Science Star (2011)
IBM Scalable Data Analytics Innovation Faculty Award (2010)
Tsinghua Academic New Star Award (2010)

Research and Publications

Jie Tang has published over 400 articles in major computer science conferences, including IJCAI/AAAI, NIPS/ICML, KDD, and ~100 articles in core journals of computer science. His recent research focuses on artificial general intelligence, graph neural networks, social network mining, and academic knowledge graphs.

Notable Works

AMiner (formerly ArnetMiner): An academic social network search system launched in March 2006 that has attracted over 2,766,356 independent IP accesses from 220 countries.
GLM-130B: An open bilingual pre-trained model with 130 billion parameters, developed together with a large research team.
ChatGLM: An open-sourced model that has been downloaded nearly 10,000,000 times worldwide.
NetMF: A method that automatically encodes network structure into low-dimensional space, outperforming DeepWalk and LINE for conventional network mining tasks.
Topical Affinity Propagation (TAP): A method to model topic-level social influence, conformity influence analysis, structural influence, inferring social ties, and user demographics.
OAG: A system for linking entities across large-scale heterogeneous knowledge graphs.

Professional Service

Jie Tang has served in various editorial and organizational roles for numerous conferences and journals, including General Co-Chair of The Web Conference 2023 (WWW'23), Program Co-Chair of The Web Conference 2021 (WWW'21), and Associate Editor for IEEE Transactions on Knowledge and Data Engineering (TKDE) and ACM Transaction on Knowledge Discovery from Data (TKDD).

Jie Tang

Overview

Jie Tang is a professor and researcher in the field of computer science and artificial intelligence. His work primarily focuses on social networks, data mining, machine learning, and knowledge graphs. Tang has made significant contributions to the development of academic social network search systems and is particularly known for creating AMiner (formerly known as ArnetMiner).

Biography

Jie Tang was born in 1977 and received his PhD in computer science from Tsinghua University in 2006. He is currently a full-time professor at the Department of Computer Science of Tsinghua University. Tang's research interests include artificial general intelligence (AGI), with a focus on teaching machines to think like humans. He has also developed several large language models, including GLM-130B and ChatGLM, which have been widely adopted by organizations and individuals worldwide.

Notable Works and Achievements

AMiner (ArnetMiner): An academic social network search system with over 136 million researchers and 200 million papers. It has attracted over 10 million independent IP accesses from more than 220 countries/regions.
GLM-130B: An open bilingual pre-trained language model with 130 billion parameters, trained using the General Language Model (GLM) algorithm.
ChatGLM: A fine-tuned version of GLM-130B, which topped the Huggingface trending list for more than three weeks.
SIGKDD Test-of-Time Award (2020): Awarded for the ArnetMiner paper, which was the 2nd most-cited paper among all KDD 2008 publications.
ACM SIGKDD Service Award (2018)
NSFC Distinguished Young Scholar (2018)
First Prize of Beijing Science and Technology (2017)
Newton Advanced Fellowship Award (2015)
CCF Young Scientist Award (2012)
NSFC Excellent Young Scholar (2012)

Publications

Jie Tang has published over 400 articles in major computer science conferences and journals, including:

IJCAI/AAAI
NIPS/ICML
KDD
TKDE/TKDD/TOIS/TAC

Research Group

Jie Tang leads a research group at Tsinghua University that focuses on various topics related to artificial intelligence, social networks, data mining, and knowledge graphs. The group has developed several innovative techniques and models, such as GLM-130B, ChatGLM, CogView, and CogVideo. They have also worked on projects related to graph neural networks, social network mining, and academic knowledge graphs.

Conclusion

Jie Tang is a prominent researcher and professor in the field of computer science and artificial intelligence, with a particular focus on social networks and data mining. His contributions to the development of academic social network search systems and large language models have had a significant impact on the field. Tang continues to actively pursue research and teach at Tsinghua University, fostering the next generation of AI researchers.