何志海，南方科技大学电子与电气工程系讲席教授， IEEE Fellow (2015)。2021年6月全职回国前任美国密苏里大学电子工程系讲席教授。研究方向包括生成式视觉AI、多模态大模型推理与控制优化、健康守护机器人、AI 智能体。2019-2025年连续入选斯坦福大学全球顶级科学家终身科学影响力排行榜。在工业AI检测、AI居家医养领域具有丰富的科研成果产业化经验。作为负责人，承担了国家基金委重点项目和国家自然科学基金天元数学与智能+交叉重点专项。 荣获IEEE TCSVT国际期刊最佳论文、中国人工智能学会吴文俊人工智能技术发明奖等奖项。

研究方向

• 生成式视觉AI
• 多模态大模型推理与控制优化
• 健康守护机器人
• AI 智能体

招聘信息

何志海课题组正在招聘生成式视觉AI、多模态大模型推理与控制优化、健康守护机器人、AI 智能体等相关专业博士后、博士等，同时欢迎来自国内外大学及科研机构的访问学者和交流学生，有意加入者请将简历发送至：hezh@sustech.edu.cn。联系地址：广东省深圳市南山区学苑大道1088号南方科技大学工学院南楼434，电话：+86 13602642426

工作经历

• (2021 - 至今) 南方科技大学电子系 讲席教授
  研究内容：智能信息物理系统、深度学习、复杂动态系统的人工智能方法
• (2013 - 2021) 美国密苏里大学 终身正教授
  研究内容：智能信息物理系统、深度学习
• (2009 - 2013) 美国密苏里大学 终身副教授
  研究内容：信息物理系统、机器视觉、机器学习、智能制造
• (2003 - 2009) 美国密苏里大学 助理教授
  研究内容：多媒体网络通信、视觉感应器网络、人工智能物联网智慧养老、野生动物生态监测网络
• (2001 - 2003) 美国新泽西普林斯顿大卫-索纳福研究中心 研究工程师
  主要科研、技术工作：研究和开发多媒体网络通信系统；无人机、无人车的机器视觉技术和系统

个人荣誉

• (2025) 2024年度吴文俊人工智能科学技术奖技术发明二等奖，中国人工智能学会
• (2021) 深圳市海外高层次人才
• (2017) 密苏⾥州荣誉⼯程⾼级教师研究奖
• (2015) IEEE Fellow
• (2010) IEEE TCSVT 杰出副主编奖
• (2009) 杰出青年教师研究和创意活动奖
• (2008) 密苏里荣誉工程青年教师研究奖
• (2004) SPIE VCIP 青年研究员奖
• (2002) IEEE TCSVT 最佳论文奖

兼职活动

• (2021.01~至今) 国际期刊IEEE Transactions on Circuits and Systems for Video Technology 编委
• (2009.01~2011.01) 国际期刊IEEE Transactions on Circuits and Systems for Video Technology 编委
• (2016.08 – 至今) 深圳深视创新科技有限公司 首席科学家（兼职）
• (2009 – 2013) 国际期刊 IEEE Transactions on Multimedia 编委
• (2009.06 – 至今) Elsevier Journal of Visual Communication and Image Representation 编委
• (2008) 国际期刊 IEEE Transactions on Circuits and Systems for Video Technologies 客座编辑
• (2005) 国际无线多媒体会议（International Symposium on Wireless Multimedia, Hawaii）副主席
• (2007) IEEE 视频处理技术委员会委员

项目

• 国家自然科学基金（NSFC）重点项目，基于多智能体协同学习的屏幕混合内容编码理论与方法，项目负责人，2024-01至2028-12
• 国家自然科学基金专项基金项目-天元基金，非侵入式血流动力学新型高分辨率成像方法与理论研究，共同项目负责人，2025-01至2026-12
• 美国国家科学基金（NSF），CPS: SenSE: Wearable hybrid biochemical and biophysical sensing systems integrated with robust artificial, 项目共同负责人Co-PI, 项目总额：73.8万美元，2020-09 至 2021-01
• 美国国家科学基金（NSF），CPS: Synergy: Cyber-Physical Sensing, Modeling, and Control with Augmented Reality for Smart Manufacturing Workforce Training and Operations Management National Science Foundation, 项目负责人PI, 项目总额：19.6万美元，2017-02 至 2020-01
• 美国国家科学基金（NSF），NSF-USIgnite: Focus Area 1: A GENI-Enabled Virtual Reality System for Immersive Online Social Learning of Youth with Autism Spectrum Disorders，项目负责人PI, 项目总额：59.9万美元，2017-02 至 2020-01
• 美国国家科学基金（NSF），CyberSEES: Collaborative Research: Cyber-infrastructure and Technologies to Support Large-Scale Wildlife Monitoring and Research for Wildlife and Ecology Sustainability, 项目总额：68.9万美元，2015-11 至 2018-10
• 美国国家科学基金（NSF），CPS: Synergy: Collaborative Research: Cyber-Physical Sensing, Modeling, and Control for Large-Scale Wastewater Reuse and Algal Biomass Production，项目负责人PI, 项目总额：67万美元，2015-09 至 2018-08
• 美国国家科学基金（NSF），Collaborative Research: ABI Innovation: Computational and Informatics Tools for Supporting Collaborative Wildlife Monitoring and Research，项目负责人PI, 项目总额： 89.8万美元，2011-08 至 2015-07
• 美国国家科学基金（NSF），Collaborative Research : Processes Determining Abundance of Terrestrial Wildlife Communities Across Large Scales National Science Foundation, 项目负责人PI, 项目总额：37.4万美元，2011-01 至 2014-05
• 美国陆军LWI研究院，Suspicious Activity Analysis for Force Protection, 项目负责人PI, 项目总额：48.9万美元，2009-09至 2010-08
• 美国国家科学基金（NSF），CPS: Medium: Active Heterogeneous Sensing for Fall Detection and Fall Risk Assessment, 项目共同负责人Co-PI, 项目总额：141万美元，2009-01 至 2012-08
• 美国国家科学基金（NSF），HCC: Elder-Centered Recognition Technology for the Assessment of Physical Function, 项目共同负责人Co-PI, 项目总额：91.2万美元，2007-09 至 2011-08
• 美国国家卫生研究院（NIH），Automated Activity Analysis for Eldercare, 项目负责人PI, 项目总额：28.8万美元，2007-07 至 2009-06
• 美国国家科学基金（NSF），SIRG: Collaborative Research : DeerNet – Wireless sensor networks for wildlife behavior monitoring, interaction modeling, and disease tracking, 项目负责人PI, 项目总额：48万美元，2005-09 至 2009-08

代表性论文

• Yi Zhang, Chun-Wun Cheng, Junyi He, Zhihai He, Carola-Bibiane Schönlieb, Yuyan Chen, Angelica I Aviles-Rivero. "Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations."[J] AAAI Conference on Artificial Intelligence (AAAI2025). (Oral paper).
• Siqi Wu, Yinda Chen, Dong Liu, Zhihai He. " Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression."[J] AAAI Conference on Artificial Intelligence (AAAI2025). (Oral paper).
• Yi Zhang, Ke Yu, Siqi Wu, Zhihai He. "Conceptual Codebook Learning for Vision-Language Models"[J]. European Conference on Computer Vision (ECCV 2024).
• Tushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He. "Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation"[J]. European Conference on Computer Vision (ECCV 2024).
• Yi Zhang, Ke Yu, Angelica I Aviles-Rivero, Jiyuan Jia, Yushun Tang, Zhihai He. "Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models"[J]. Proceedings of the 32nd ACM International Conference on Multimedia, 2024. 4387-4396
• Yushun Tang, Shuoshuo Chen, Jiyuan Jia, Yi Zhang, Zhihai He. "Domain-Conditioned Transformer for Fully Test-time Adaptation."[J] Proceedings of the 32nd ACM International Conference on Multimedia, 2024. 6260-6269.
• Zhehan Kan, Shuoshuo Chen, Ce Zhang, Yushun Tang, Zhihai He, "Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation." 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5537-5546, 17-24 June 2023.
• Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He, "Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3728-3738. 2023.17-24 June 2023.
• Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He, "Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation." Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part V. Cham: Springer Nature Switzerland, 2022.
• Shichao Kan, Yigang Cen, and Zhihai He, Relative Order Analysis and Optimization for Unsupervised Learning of Discriminative Features, IEEE Proceedings of Computer Vision and Pattern Recognition (CVPR), June 2021.
• Hao Sun and Zhihai He, “Reciprocal learning networks for human trajectory prediction,” IEEE Proceedings of Computer Vision and Pattern Recognition (CVPR), June 2020 (Oral paper).
• Yang Li, Zhiqun Zhao, Yigang Cen, and Zhihai He, Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets, accepted by IEEE Transactions on Multimedia, May 2020.
• Jianhe Yuan and Zhihai He, “Ensemble generative cleaning for adversarial defense of deep neural networks,” IEEE Proceedings of Computer Vision and Pattern Recognition (CVPR), June 2020.
• Kan, Shichao, Yigang Cen, Zhihai He, Zhi Zhang, Linna Zhang, and Yanhong Wang. "Supervised deep feature embedding with handcrafted feature." IEEE Transactions on Image Processing 28, no. 12 (2019): 5809-5823.
• Zhi Zhang, Zhihai He, and Wenmin Cao, Animal Detection from Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification, IEEE Transaction on Multimedia, Vol. 18, No. 10, pp. 2079-2092, July 2016.
• Chenglin Li, Hongkai Xiong, Junni Zou, Zhihai He, "Joint Source and Flow Optimization for Scalable Video Multi-rate Multicast over Hybrid Wired/Wireless Coded Networks", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, No. 5, pp. 550-564, May 2011.
• Zhou, Zhongna, Xi Chen, Yu-Chia Chung, Zhihai He, Tony X. Han, and James M. Keller. "Activity analysis, summarization, and visualization for indoor human activity monitoring." IEEE transactions on circuits and systems for video technology 18, no. 11 (2008): 1489-1498.
• He, Zhihai, and Sanjit K. Mitra. "A linear source model and a unified rate control algorithm for DCT video coding." IEEE transactions on Circuits and Systems for Video Technology 12, no. 11 (2002): 970-982.
• He, Zhihai, Jianfei Cai, and Chang Wen Chen. "Joint source channel rate-distortion analysis for adaptive mode selection and rate control in wireless video coding." IEEE Transactions on circuits and systems for video technology 12, no. 6 (2002): 511-523.
• He, Zhihai, and Sanjit K. Mitra. "A unified rate-distortion analysis framework for transform coding." IEEE Transactions on Circuits and Systems for Video Technology 11, no. 12 (2001): 1221-1236. (Best Paper)