Peng Tan (P. Tan) Ph.D. candidate Nanjing University, Nanjing, China Supervisor: Zhi-Hua Zhou Email: tanp@lamda.nju.edu.cn Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University

Biography

Currently I am a Ph.D. student of School of Artificial Intelligence in Nanjing University under the supervision of professor Zhi-Hua Zhou.

I got my B.Sc. degree in School of Information Science and Technology in June 2019 from University of Science and Technology of China. In the same year, I was admitted to pursue for a Ph.D. degree in Nanjing University without entrance examination.

Research Interests

My research interests mainly include Machine Learning and Data Mining.
More specifically, I mainly work on Learnware paradigm.

Publications

• Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation.
  Peng Tan, Hai-Tian Liu, Zhi-Hao Tan, Zhi-Hua Zhou.
  In: Advances in Neural Information Processing Systems 37 (NeurIPS'24), Vancouver, Canada, 2024. (to appear)


• Beimingwu: A Learnware Dock System. [PDF]
  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. Page: 5773-5782.


• Towards Enabling Learnware to Handle Heterogeneous Feature Spaces. [PDF]
  Peng Tan, Zhi-Hao Tan, Yuan Jiang and Zhi-Hua Zhou.
  Machine Learning, 113(4): 1839–1860, 2024.
  


• Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. [PDF]
  Peng Tan, Zhi-Hao Tan, Yuan Jiang and Zhi-Hua Zhou.
  In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), Macao, China, 2023. Page: 4235-4243.
  


• Multi-label Optimal Margin Distribution Machine. [PDF]
  Zhi-Hao Tan, Peng Tan, Yuan Jiang and Zhi-Hua Zhou.
  Machine Learning, 109(3): 623-642, 2020.
  

Patents

• 一种针对异构特征空间学件的查搜与复用方法. CN116629374B [Authorized]

Projects

• Beimingwu: A learnware dock system. [System homepage] [KDD2024 Video (2min), Brief System Introduction] [Gitlink, Github]

Academic Service

• Reviewer of NeurIPS (2022, 2023, 2024), ICML (2023), ICLR (2024), AAAI (2023), IJCAI (2021), ECAI (2023), PAKDD (2021)

Teaching Assistant

• Introduction to Machine Learning Theory. (with Prof. Wei Wang; for graduate students; spring, 2024)

• Introduction to Machine Learning Theory. (with Prof. Wei Wang; for graduate students; spring, 2023)

• Introduction to Machine Learning Theory. (with Assoc. Prof. Wei Wang; for graduate students; spring, 2021)

• Introduction to Machine Learning. (with Prof. Zhi-Hua Zhou, Prof. De-Chuan De, Dr. Han-Jia Ye; for undergraduate students; spring, 2020)

Awards & Honors

• Outstanding PhD candidate Program of Nanjing University, 2024.

• Yingcai Scholarship of Nanjing University, First Prize, 2023

• Huawei Outstanding Student Award, Second Prize, 2023.

• Excellent Graduate Student of Nanjing University, 2023

• China post-graduate mathematical contest in modeling, First Prize ("Star of mathematical modeling" nomination), 2019.

• Nanjing Artificial Intelligence Industry Talent Development Scholarship, 2019

• Nanjing University Doctoral Freshman Presidential Scholarship, 2019

• Excellent Graduate of University of Science and Technology of China, Hefei, 2019.

• Special scholarship for Electronics, CAS, 2017.

Correspondence

• Email:
  tanp{at}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.