Hao Wang   Research Assoc. Professor College of Computer Science Sichuan University E-mail: cshaowang [@ sign] gmail.com (or hwang [@ sign] scu.edu.cn) Office: 101, Shaw S&T building, Wangjiang Campus, Sichuan University

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Short Bio [中文简介]

Hao Wang is a Research Associate Professor with the College of Computer Science at Sichuan University (SCU). He received his Ph.D. in Computer Science from Southwest Jiaotong University (SWJTU). Before joining SCU, he was a Research Fellow at Nanyang Technological University (NTU). He was also a Visiting Student at the University of Illinois at Chicago (UIC) for two years and a Visiting Scholar at the University of Regina.

He is also affiliated with XLearning Lab at SCU.

Research Interests

• Lifelong and Continual Learning

• Open-world Learning

• Multi-view Learning

• Sentiment Analysis and Opinion Mining

• Spatial and Spatio-Temporal Data Mining

Publications

• Publications (in chronological order)

• Google Scholar

• DBLP

Professional Activities

Conference Program Committee

• Senior Area Chair: EMNLP (2025, 2026), ACL ARR (May 2026)

• Area Chair: ICML (2025, 2026), EMNLP (2023)

• Senior PC: AAAI (2027), PAKDD (2023-2026)

• 2026: AAAI, ACL, AISTATS, ICLR, LREC, CVPR, COLM, ICMR, ECCV, IJCAI, ACMMM, etc.

• 2025: AAAI, ACL, ACMMM, AISTATS, ICLR, COLING, NeurIPS, EMNLP, COLM, NLPCC, IJCNLP-AACL, etc.

• 2024: AAAI, ACL, ACMMM, ICLR, ICML, KDD, NeurIPS, EMNLP, LREC-COLING, SDM, NAACL, COLM, NLPCC, etc.

• 2023: AAAI, ACL, ACMMM, ICML, KDD, NeurIPS, IJCNLP-AACL, PRICAI

• 2022: ACL, ACMMM, NAACL, AACL, NeurIPS, EMNLP, ECML-PKDD, COLING, PRICAI (Special Track)

• 2021: AAAI, ACL-IJCNLP, ACMMM, EMNLP, SocialNLP@NAACL-2021

• 2020: AAAI, AACL-IJCNLP

Journal Reviewer

• ACM Transactions on the Web (TWEB) Distinguished Reviewer Board (2022-2024)

• ACL Rolling Review (ARR): 2021 - present

• ACM CSUR, ACM TODS, TKDD, IEEE TPAMI, TKDE, TIP, TCYB, TNNLS, TAFFC, TMM, TCSVT, TETCI, TBD, TITS, etc.

Teaching

• Data Structures and Algorithms (Undergraduate Course), Fall 2024-2026.

• Reading and Discussion in Computer Science (Graduate Course), Fall 2024-2026.

• Big Data and Intelligent Analytics in Oral Medicine (Graduate Course), Fall 2026. (3 out of 33 lectures)

• Informatics in Oral Medicine (Graduate Course), Fall 2025. A Joint Course (3 out of 33 lectures)

• Computer System Architecture (Undergraduate Course), Spring 2025-2026.

• Introduction to Electronic Information (Graduate Course), Spring 2025-2026. A Joint Course (9 out of 48 lectures)