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

Publications & Manuscripts

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


• Beimingwu: A Learnware Dock System. [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, 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.
  


• 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.
  


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


• 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.
  


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


• 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.
  


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


• 基于神经切线核的学件RKME规约.
  谭志豪, 史浩宇, 陈梓轩, 姜远.
  计算机学报, 47(6): 1232-1243, 2024.

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 (May. 2020 - Aug. 2021) [Committee List][Certificate of Appreciation by IJCAI President]

• ICML (2022, 2023, 2024), NeurIPS (2022, 2023, 2024), AAAI (2020, 2022, 2024), IJCAI (2019, 2020), AISTATS (2022, 2023), ICLR (2024), 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

• CCFAI Best Paper Award, CCF, 2023

• Huawei Outstanding Student Award, Grand Prize, Huawei, 2023. [1 people/year]

• 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)