Chi Zhang, Ph.D., currently works at Shanghai AI Laboratory, focusing on AI4Sciences research.

Previously: Associate Researcher at the National Key Laboratory of Multi-modal Artificial Intelligence, Institute of Automation, Chinese Academy of Sciences; Associate Researcher at the AI and Robotics Innovation Center, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences.

Research interests include multi-modal data processing, scientific data agents, computer vision, and computational imaging. Principal investigator of 3 National Natural Science Foundation projects (1 Youth Fund, 2 General Programs); principal investigator of a sub-project of the "New Generation Artificial Intelligence" major project; and leading researcher on multiple projects including key NSFC projects with total funding exceeding 20 million RMB.

Published over 20 papers in top journals (TIP/PR/Science China Information Sciences, etc.) and conferences. Holds more than 10 national invention patents. Awarded Beijing Science and Technology Progress Award (First Class), China Innovation Challenge Award, and multiple competition prizes.

• 2026.06 The Antarctic krill dataset developed by SciDataCopilot has been released.
• 2026.02 Follow our new work: SciDataCopilot, the first scientific data preparation agent framework based on the new Scientific AI-Ready data paradigm.
• 2026.01 Follow our work: SciDataIndex, the first AI agent-led ranking for scientific data classification and grading.
• 2025.08 NSFC General Program "Embodied AI Modeling for Air-based Wide-area Search and Surveillance" approved
• 2025.08 Joined Shanghai AI Laboratory

More News →

1. Rao J, Qiu Y, Zhang J, et al., Chi Zhang*. "SciDataCopilot: An Agentic Data Preparation Framework for AGI-driven Scientific Discovery." arXiv preprint arXiv:2602.09132, 2026. Technical Report
2. Chi Zhang, Wenbo Chen, Wei Wang, Zhaoxiang Zhang. "MA-ST3D: Motion Associated Self-Training for Unsupervised Domain Adaptation on 3D Object Detection." IEEE Transactions on Image Processing (TIP), 2024. CCF-A, IF=10.6
3. Yi Zou, Zehao Ni, Xun Lei, Chi Zhang*. "Autonomy Evaluation of Unmanned Systems Based on Task Models." Machine Intelligence Research (MIR), 2024. IF=6.4
4. Wei Wang, Gaowei Zhang, Hongyong Han, Chi Zhang*. "Correntropy-Induced Wasserstein GCN: Learning Graph Embedding via Domain Adaptation." IEEE Transactions on Image Processing (TIP), 2023. CCF-A, IF=10.6
5. Yangyang Ye, Chi Zhang, Xiaoli Hao, et al. "ARPNET: Attention Region Proposal Network for 3D Object Detection." Science China Information Sciences, 2019. CCF-A, IF=8.8

All Publications →

• NSFC General Program: Embodied AI Modeling for Air-based Wide-area Search and Surveillance (500K RMB, PI)
• NSFC General Program: Multi-source Light Field Function Representation for Information Fusion (530K RMB, PI)
• NSFC Youth Program: Visual Depth Perception via Multi-clue Interaction (200K RMB, PI)
• "13th Five-Year" Pre-research Project: Brain-inspired Learning for Unstructured Environment Perception (220K RMB, PI)
• CAS Key Deployment Project: Complex Scene Target Tracking (830K RMB, PI)

All Projects →

• 2023 Runner-up in "Unmanned Contest" Competition
• 2022 Beijing Science and Technology Progress Award (First Class)
• 2022 China Innovation Challenge Award (First Prize)
• 2022 Indoor Robot Learning Challenge (Second Prize)
• 2019 CVPR nuScenes 3D Detection Challenge (Third Place)

All Awards →

Name	Type	Graduation	Destination
Yangyang Ye	Ph.D.	2018.06	Hikvision (Hangzhou, Talent Class E)
Xueqing Tong	M.S.	2023.06	VIVO Computer Vision
Jianxing Wu	M.S.	2023.06	Baidu Autonomous Driving
Jianshu Zeng	B.S.	2024.09	Ph.D. at Peking University

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