Hao WANG

Hao WANG

Ph.D., Associate Professor
Department of Machine Intelligence,
School of Computer Engineering and Science,
Shanghai University
Room 1019, CES Building
No. 99 Shangda Road, Baoshan District,
Shanghai 200444, P. R. China

About

Dr. Hao Wang served as a Lecturer in the Department of Intelligence Science and Technology at Shanghai University from 2019 to 2024, and has been an Associate Professor since 2024. He is currently seconded to the Putuo District Data Bureau / Administrative Approval Service Center in Shanghai, where he serves as Deputy Director. He received a doctoral fellowship from the China Scholarship Council and earned his M.Sc. (2014) and Ph.D. (2019) from Waseda University, Japan. He has worked at Microsoft Research Asia, Toshiba Global R&D, and NTT Communication Science Laboratories. He has published more than 40 papers in international conferences and journals, including ACL, COLING, EMNLP, IJCAI, and CSCW. More than 30 of these papers have appeared in SCI/SSCI/A&HCI-indexed venues or CCF-recommended conferences. He has led a completed Shanghai Municipal Science and Technology Commission Sailing Program project, an NSFC Young Scientists Fund project at the AI interdisciplinary interface, and five industry collaboration projects. As a key member, he has also contributed to several NSFC major and general projects, the National Key R&D Program, and special projects on social governance. He has served as a long-term PC member and reviewer for leading AI and NLP venues, including ICLR, ICML, NeurIPS, ACL, EMNLP, and AAAI, as well as journals such as TKDD, TNNLS, and NLE. His research interests include artificial intelligence, human–AI collaborative cognition, and natural language processing, with applications in medical and other high-stakes documents.

We welcome students with backgrounds in NLP, as well as students from linguistics, cognitive science, psychology, and related fields. International students are also welcome. Please note that Shanghai University currently offers Chinese-taught programs only, so international applicants are expected to hold an HSK Level 5 certificate.

Courses

Research

  • Human–LLM Collaborative Cognition (academic master's applicants; female applicants preferred)
  • Organizations and Society in Human–AI Integration
  • Human–Machine Embodied Collaboration

Open positions: 2–3. If you are interested, please contact us .

Insights

Rigorous research, grounded in real problems and shaped by human–AI collaboration.
Seek truth, stay grounded, and move forward one step at a time.

Graduate Students

NameEntry YearUndergraduate InstitutionNoteResearch
Liu Ruibin2025Southwest UniversityEEG-driven Embodied Control
Huiwen Xiong2025Anhui University of Finance and EconomicsRecommendedEEG-Intention-Driven Agentic UI Design
Feng Xue2025Suzhou Lexing Information Technology Co., Ltd.Part-timeAI4Science
Zhang Qingya2025Digital China Information Service Group Co., Ltd.Part-timeAI4Science
IDLKAID MOHAMMED2024Sidi Mohamed Ben Abdellah UniversityInternational Student, MoroccoInteractive Medical RAG
Yang Qi2024Dongguan University of TechnologyMulti-Document Understanding

Alumni

NameYearUndergraduate InstitutionDestinationThesisNote
Liu Maolin2026Shanghai UniversityTrip.com Group, ShanghaiMaster's ThesisSHU undergraduate
Chen Bin2025Shanghai UniversityCOMAC, ShanghaiMaster's ThesisRecommended
Wang Changqing2025China University of PetroleumMeituan, ShanghaiMaster's Thesis
Wang Qingxuan2025Northeast Petroleum UniversityChina Telecom, ZhengzhouMaster's ThesisRecommended
Li Tang2024Taiyuan University of TechnologyChina Telecom, ShanghaiMaster's Thesis
Chen Xiahua2024Nantong UniversityZhongan Tech, ShanghaiMaster's Thesis
Zhang Junwei2023Zhengzhou University of Light IndustryChina Unicom, ShanghaiMaster's ThesisTransferred in Year 2
Tao Xi2023Shanghai UniversityByteDance, ShenzhenMaster's Thesis
Du Siyuan2022Shanghai University of Engineering ScienceSAP, ShanghaiMaster's Thesis