Zhi-Hao Tan（谭志豪）@ LAMDA

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

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.

Research Interest

• Learnware
• Kernel Methods

Publications & Manuscripts

• Zhi-Hua Zhou and Zhi-Hao Tan. Learnware: Small Models Do Big. [arXiv]


• 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), to appear.


• 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.
  In: Machine Learning, 2022, in press.
  [paper][poster]


• Zhi-Hao Tan, Peng Tan, Yuan Jiang and Zhi-Hua Zhou. Multi-label Optimal Margin Distribution Machine.
  In: 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

• IJCAI 2021 Workflow Chair [Committee List][Certificate of Appreciation by IJCAI President]

• ICML (2022, 2023), NeurIPS (2022, 2023), AAAI (2020, 2022), IJCAI (2019, 2020), AISTATS (2022, 2023), ECAI (2020), PAKDD (2022), PRICAI (2019)

• 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

• IEEE Signal Processing Cup: Honorable Mention for High Classification Accuracy, IEEE ICASSP, 2016.
  [Our Paper: Geographic Location Estimation from ENF Signals with High Accuracy][top 6 teams in the world]

• Wu Ta-You Scholarship, National Tsing Hua University, Taiwan, 2016

Teaching Assistant

• Introduction to Machine Learning Theory (With Assoc. Prof. Wei Gao, Wei Wang, Lijun Zhang; For graduate students, Spring, 2019)
• Experimentation of Programming Foundations (With Assoc. Prof. Lei Bu, Hao Hu; For undergraduate students, Spring, 2019)