北京中关村学院导师
个人主页链接:https://hejiyan.com
I. 研究方向
1. 通用人工智能
2. 软件智能
3. 科学人工智能
4. 人工智能安全
II. 教育经历
2020 - 2025: 中国科学技术大学,网络空间安全学院,博士学位 (导师: 刘铁岩教授, 张卫明教授)
2016 - 2020: 中国科学技术大学,计算机科学与技术学院,学士学位
III. 工作经历
2025 - 至今: 北京中关村学院 & 中关村人工智能研究院,研究员
2021 - 2025: 微软研究院,AI for Science 组,研究实习生 (联合培养)
2019 - 2020: 微软研究院,Machine Learning 组,研究实习生
IV. 代表性学术论文
[1] Shuxin Zheng#, Jiyan He#, Chang Liu#, Yu Shi#, Ziheng Lu#, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noe, Haiguang Liu, Tie-Yan Liu. Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. Nature Machine Intelligence, 2024.
[2] Jiyan He#, Xuechen Li#, Da Yu#, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian. Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. ICLR, 2023.
[3] Jiyan He#, Haoxiang Guan, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Qing Guo, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng. Controlling Risks of AI in Chemical Science with Agents. AI for Science, 2025.
[4] Zhenze Zhao, Yanan Zhu, Gaoxu Li, Haojie Dong, Kai Chen, Yibo Zhang, Roman B Vasiliev, Jiyan He*, Na Liu*, Shuai Chang*. AI-Driven Accelerated Discovery of High-Performance Perovskite Quantum Dots Via Predictive LightGBM Modeling. The Journal of Physical Chemistry Letters, 2025.
V. 学术兼职
担任 TPAMI,ICLR,ICML,NeurIPS,ACL 等国际期刊和会议审稿人。



