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. Since 2025, he has been seconded to the Putuo District Data Bureau in Shanghai, serving as Deputy Director of the Administrative Approval Center and Deputy Director of the Urban Operations Center. 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 50 papers in international conferences and journals, including ACL, COLING, EMNLP, IJCAI, and CSCW. More than 40 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. 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.

Professional Service

Courses

Research

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

  • Human-AI Co-Cognition

    Explore the boundaries of interaction between the human brain and large language models, focusing on deep reasoning and medical/legal document understanding.

    Note: Priority is given to applicants for academic master's programs. Female students are encouraged to bring their nuanced and perceptive strengths to interdisciplinary AI research.

  • AI-Native Society & Governance

    Study multi-agent collaboration mechanisms and infrastructure in complex organizations, drawing on urban governance, administrative approvals, and logistics automation.

  • Embodied AI & Brain-Computer Interface

    Use EEG and other physiological signals to explore next-generation embodied control and AI UI design, enabling machines to understand human intent more naturally.

Insights

Write hardcore code.
Build AI with human warmth.

Graduate Students

NameEntry YearUndergraduate InstitutionNoteResearch
Tu Yuyun2026Jiangxi Normal UniversityRecommendedAI-Native Infrastructure
Zhang Dang2026Zhejiang Chinese Medical UniversityRecommendedMedical Deep Reasoning
Wu Yueying2026Wuhan University of Science and TechnologyRecommendedHuman–AI Collaborative Control Theory
Liu Ruibin2025Southwest UniversityEEG-driven Embodied Control
Huiwen Xiong2025Anhui University of Finance and EconomicsRecommendedEEG + LLM UI Design
Feng Xue2025Suzhou Lexing Information Technology Co., Ltd.Part-timeAI4INDUSTRTY
Zhang Qingya2025Digital China Information Service Group Co., Ltd.Part-timeAI4AUTO-OPS
IDLKAID MOHAMMED2024Sidi Mohamed Ben Abdellah UniversityInternational Student, MoroccoRisk Assessment of LLM-based Legal Translation
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