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赵子宸
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Currently I am a first year graduate student of School of
Artificial Intelligence in Nanjing University
and a member of LAMDA Group, led by professor Zhi-Hua Zhou.
I received my B.Sc. degree from School of
Artificial Intelligence, Nanjing University in June 2025. In
the same year, I was admitted to pursue my Ph.D. degree in Nanjing University without entrance examination.
My current research interests mainly include topics in Machine Learning and Data Mining.
More specifically, I mainly work on Learnware paradigm.
Learnware of Language Models: Specialized Small Language Models Can Do Big. [arXiv]
Zhi-Hao Tan*, Zi-Chen Zhao*, Hao-Yu Shi*, Xin-Yu Zhang, Peng Tan, Yang Yu, Zhi-Hua Zhou
Constructive Specification for Plug-and-Play Learnware Agents. [PDF]
Jian-Dong Liu, Zi-Chen Zhao, Hao Sun, Lin-Xing Wu, Huan Zhang, Pengyuan Wang, Ming Zhao, Xinyu Chu, Shu Yan, Yongbei Zhu, Weijun Zhong, Zhi-Hao Tan, Jing Shang, Yang Yu, and Zhi-Hua Zhou.
In: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'26), Jeju, Korea, 2026.
Earlier version presented at the ICLR 2026 Workshop on Lifelong Agents, Rio de Janeiro, Brazil, 2026. [PDF]
A Study on PAVE Specification for Learnware. [PDF]
Hao-Yu Shi, Zhi-Hao Tan, Zi-Chen Zhao, Yang Yu, Zhi-Hua Zhou.
In: The 14th International Conference on Learning Representations (ICLR'26), Rio de Janeiro, Brazil, 2026.
[2026.07.31] Constructive Specification for Plug-and-Play Learnware Agents. [slides]
第十一届 CCF 中国数据挖掘会议 (CCDM 2026) · 顶会顶刊论坛.
Outstanding Graduate of Nanjing University, Nanjing University, 2025.
National Scholarship for Undergraduates, MOE of PRC, 2024.
(2025 Fall) Digital Signal Processing, for Undergraduate Students (with Prof. Wei Wang).
(2026 Spring) Introduction to Machine Learning, for Undergraduate Students (With Prof. Zhi-Hua Zhou, Asst. Prof. Peng Zhao and Zhi-Hao Tan).
Email: zhaozc@lamda.nju.edu.cn
Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University
Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus
Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China.
(南京市栖霞区仙林大道163号,
南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023)