Zhi-Hao Tan(谭志豪)@ LAMDA

Modified: 2014/08/25 22:19 by admin - Uncategorized
Image Chinese name
Zhi-Hao Tan

Ph.D. from LAMDA Group
Department of Computer Science and Technology
National Key Laboratory for Novel Software Technology
Nanjing University

Laboratory: 912,Building of Computer Science and Technology,
Xianlin Campus of Nanjing University

email: tanzh at lamda.nju.edu.cn


Currently I am a PhD student of Department of Computer Science and Technology in Nanjing University, where I was very fortunate to be advised by Prof. Yuan Jiang. I am a member of LAMDA Group, led by Prof. Zhi-Hua Zhou.

I received my B.Sc. degree in Information Security in 2017 from University of Science and Technology of China, School of the Gifted Young. Before that, I visited National Tsing Hua University, Taiwan as a research visiting student from Jul. 2016 to Aug. 2016.

Research Interest

My current research interests mainly include Machine Learning and Data Mining. More specifically, I am interested in the following topics:
  • Learnware
  • Kernel Methods

Publications & Manuscripts

  • Zhi-Hua Zhou and Zhi-Hao Tan. Learnware: Small Models Do Big.
    Science China Information Sciences (SCIS), 2024, 67(1): 112102. [arXiv][paper]

  • Yi Xie, Zhi-Hao Tan, Yuan Jiang and Zhi-Hua Zhou. Identifying Helpful Learnwares without Examining the Whole Market.
    In: Proceedings of the 26th European Conference on Artificial Intelligence (ECAI'23), Kraków, Poland, 2023. Page: 2752-2759.

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

  • Zhi-Hao Tan, Yi Xie, Yuan Jiang and Zhi-Hua Zhou. Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks.
    In: Advances in Neural Information Processing Systems 35 (NeurIPS'22), New Orleans, Louisiana, 2022. Page: 34052-34063.

  • Peng Tan, Zhi-Hao Tan, Yuan Jiang and Zhi-Hua Zhou. Towards Enabling Learnware to Handle Heterogeneous Feature Spaces.
    Machine Learning, 2022, in press.

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

  • Zhi-Hao Tan, Teng Zhang and Wei Wang. Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine.
    In: Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019. Page: 5083-5090.


  • Learnware: Development, Implementation and Research. (with Huawei ModelArts, Huawei Noah). Mar. 2022 - Mar. 2023.
    Artificial Intelligence Joint Laboratory of Huawei and Nanjing University.

Academic Service

Conference Organizing Committee: Conference Reviewers:
  • ICML (2022, 2023), NeurIPS (2022, 2023), AAAI (2020, 2022), IJCAI (2019, 2020), AISTATS (2022, 2023), ECAI (2020), PAKDD (2022), PRICAI (2019)
Reviewer for Journals:
  • Machine Learning (MLJ)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • International Journal of Data Science and Analytics (JDSA)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • ACM Transactions on Knowledge Discovery from Data (TKDD)

Awards & Honors

  • Huawei Scholarship, Grand Prize, Huawei, 2023. [1 people/year]
    Also Outstanding Contribution Award of Artificial Intelligence Joint Laboratory of Huawei and Nanjing University.
  • Hisense Scholarship, Hisense Group, 2023. [10 people/year]
  • Postgraduate Research & Practice Innovation Program of Jiangsu Province, Jiangsu Province, 2023
  • Outstanding PhD candidate Program of Nanjing University, Nanjing University, 2022
  • IJCAI 2021 Workflow Chair, IJCAI, 2021. [1 people]
  • Artificial Intelligence Scholarship, Nanjing City, 2019
  • AAAI Student Travel Award, AAAI, 2019
  • Wu Ta-You Scholarship, National Tsing Hua University, Taiwan, 2016

Teaching Assistant

National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China

Last modified: 2023-04-23