1.Name

Shuangyin Li

2.Biography

Dr. Shuangyin Li(李双印) is an Associate Professor in School of Computer Science, South China Normal University. He also worked in Microsoft Research Asia (MSRA) as visiting researcher and Hong Kong University of Science and Technology as PostDoc fellow. He got the Master and PhD degree from 2009.9 to 2014.12 in School of Information Science & Technology, Sun Yat-sen University, and the Bachelor degree, from 2005.9 to 2009.7 in School of Information Science & Engineering, Lanzhou University. His research interests include Machine Learning, Data Mining, Artificial Intelligence, Text Modeling and Large Language Model(LLMs).

More info can be found in his website (http://www.shuangyin.li/).

3.Research Interests

His research interests include artificial intelligence, machine learning, text data mining, topic modeling and deep learning with real-world applications. His major publications focus on text mining, knowledge learning, semantic extraction, LLMs on the top conferences and jounals of AI. He has directed in numerous research and development projects and, obtained over 2M grants from government funding agencies and industries.

Find more his publications from google scholar (https://scholar.google.com/citations?user=LQITVaEAAAAJ) or his personal website (http://www.shuangyin.li/publications.html).

4.Email

shuangyinli@scnu.edu.cn

5.Academic

He has served as a member of program committees for many international conferences, like NeurIPS, ACL, KDD, WWW, AAAI, IJCAI, COLM, AACL-IJCNLP, ACL-IJCNLP, EMNLP, NAACL-HLT, EACL, ECAI, and as the reviewer member of many international journals, such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Knowledge-Based Systems, Scientific Reports, Mathematics, et al.

Here are the details of his academic and community service activities:
Journal Reviewer and Conference (Senior) PC Member:
(1) IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Knowledge-based Systems(KBS), Scientific Reports, Mathematics, Applied Intelligence(APIN) et al.
(2) NeurIPS(2024), KDD(2024, 2025), ACL(2020, 2021, 2022, 2023, 2024), AAAI(2016, 2019, 2020, 2021, 2022), IJCAI(2017, 2020), TheWebConf(WWW 2024, 2025), AACL-IJCNLP(2020, 2022), ACL-IJCNLP(2021), EMNLP(2015, 2016, 2017, 2019, 2020, 2021, 2022, 2023, 2024), NAACL-HLT(2018, 2021), EACL(2021), ECAI(2023, 2024), COLM(2024) et al. VLDB 2024 Financial Chair.
(3) Others: Consultant at SURFILTER.com[Code:300311], lakala.com[Code:300773].