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刘建东
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Currently I am a final-year Ph.D. candidate at the School of Artificial Intelligence, Nanjing University, and a member of the LAMDA Group, led by Professor Zhi-Hua Zhou.
I received my B.Eng. degree with honors from the School of Computer Science and Technology, Shandong University in June 2021. In the same year, I was admitted to pursue Ph.D. degree in Nanjing University without entrance examination.
My research interests include Machine Learning, Learnware, and Data Mining.
Constructive Specification for Plug-and-Play Learnware Agents.
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]
Integrated Learnware Identification and Reuse via Reusability-Aware Metric Learning.
Hai-Tian Liu, Peng Tan, Jian-Dong Liu, Zhi-Hao Tan, and Zhi-Hua Zhou.
In: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'26), Jeju, Korea, 2026.
Dynamic Learnware Filtering for Efficient Learnware Identification and System Slimming. [PDF, code]
Jian-Dong Liu, Zhi-Hao Tan, and Zhi-Hua Zhou.
In: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), Toronto, Canada, 2025.
Identifying and Reusing Learnwares across Different Label Spaces. [PDF, code]
Jian-Dong Liu, Zhi-Hao Tan, and Zhi-Hua Zhou.
In: Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), Montreal, Canada, 2025.
Beimingwu: A Learnware Dock System. [PDF, arxiv]
Zhi-Hao Tan*, Jian-Dong Liu*, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, and Zhi-Hua Zhou. (* indicates equal contribution)
In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24), Barcelona, Spain, 2024.
Towards Making Learnware Specification and Market Evolvable. [PDF, code, poster]
Jian-Dong Liu, Zhi-Hao Tan, and Zhi-Hua Zhou.
In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024.
Learnware: Development, Implementation and Research. (with Huawei ModelArts, Huawei Noah). Mar. 2022 - Mar. 2023.
Artificial Intelligence Joint Laboratory of Huawei and Nanjing University.
Beimingwu: A Learnware Dock System. LAMDA. Mar. 2023 - Present. [Homepage, Overview] [GitLink, GitHub]
The first systematic open-source implementation of learnware, serving as a preliminary research platform for learnware-related studies.
Outstanding Graduates of Nanjing University, Nanjing University, 2026.
Suzhou Industrial Park Scholarship, Nanjing University, 2025.
Yingcai Scholarship, First Prize, Nanjing University, 2024.
LAMDA Talent Award, Nanjing University, 2024. [3 people/year]
Huawei Outstanding Student Award, First Prize, Huawei, 2023. [6 people/year]
Presidential Special Scholarship for Ph.D. Student, Nanjing University, 2021.
CCF Elite Collegiate Student Award, Beijing, 2020.
China Collegiate Programming Contest, Silver Medal, Qinhuangdao, 2020.
CCF Collegiate Computer Systems & Programming Contest, Gold Medal, Suzhou, 2019.
ICPC Asia Regional Contest, Silver Medal, {Nanjing, Shanghai}, {2020, 2019}.
National Scholarship for Undergraduates, MOE of PRC, {2020, 2019}.
Email: liujd@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
(In Chinese: 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)