Biography
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:
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.
[paper]
- 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.
[paper]
- 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.
[paper][supplementary][poster]
- Peng Tan, Zhi-Hao Tan, Yuan Jiang and Zhi-Hua Zhou. Towards Enabling Learnware to Handle Heterogeneous Feature Spaces.
Machine Learning, 2022, in press.
[paper][poster]
- Zhi-Hao Tan, Peng Tan, Yuan Jiang and Zhi-Hua Zhou. Multi-label Optimal Margin Distribution Machine.
Machine Learning, 109(3): 623-642, 2020.
[paper][poster][code]
- 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.
[paper][supplementary][slides][code]
Projects
- 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
Mail: 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。