Peng Zhao @ LAMDA, NJU CS

Zhao, Peng
Ph.D. Candidate, LAMDA Group
Department of Computer Science and Technology
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China


Office: Room 912, Computer Science Building
Email:



About Me

I'm a Ph.D. student of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group. I got my B.Sc. degree in Electronic Science and Technology in June 2016 from Tongji University. In the same year, I was admitted to pursue for a Ph.D. degree in Nanjing University.

Advisor

Professor Zhi-Hua Zhou.

Research Interests

My research interests include topics in machine learning and data mining.
Most recently, I am interested in

  • Machine Learning in Non-stationary Environments
  • Online Learning and Decision Making
  • Weakly Supervised Learning

Preprints

  • Non-stationary Online Learning with Memory and Non-stochastic Control. [PDF, arXiv]
    Peng Zhao, Yu-Xiang Wang, and Zhi-Hua Zhou.

Conference Papers

  • Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions. [PDF, arXiv, bibtex]
    Peng Zhao and Lijun Zhang.
    In: Proceedings of the 3rd Conference on Learning for Dynamics and Control (L4DC'21), online, 2021. Page: 48-59.

  • Exploratory Machine Learning with Unknown Unknowns. [PDF, code, bibtex]
    Peng Zhao, Yu-Jie Zhang, and Zhi-Hua Zhou.
    In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), online, 2021. Page: 10999-11006.

  • Towards Enabling Learnware to Handle Unseen Jobs. [PDF, code, bibtex]
    Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, and Zhi-Hua Zhou.
    In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), online, 2021. Page: 10964-10972.

  • Storage Fit Learning with Feature Evolvable Streams. [PDF, code, bibtex]
    Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, and Zhi-Hua Zhou.
    In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), online, 2021. Page: 7729-7736.

  • Dynamic Regret of Convex and Smooth Functions. [PDF, arXiv, bibtex]
    Peng Zhao, Yu-Jie Zhang, Lijun Zhang, and Zhi-Hua Zhou.
    In: Advances in Neural Information Processing Systems 33 (NeurIPS'20), Vancouver, Canada, 2020. Page: 12510-12520.

  • An Unbiased Risk Estimator for Learning with Augmented Classes. [PDF, arXiv, code, bibtex]
    Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, and Zhi-Hua Zhou.
    In: Advances in Neural Information Processing Systems 33 (NeurIPS'20), Vancouver, Canada, 2020. Page: 10247-10258.

  • Learning with Feature and Distribution Evolvable Streams. [PDF, code, bibtex]
    Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, and Zhi-Hua Zhou.
    In: Proceedings of the 37th International Conference on Machine Learning (ICML'20), Vienna, Austria, 2020. Page: 11317-11327.

  • A Simple Online Algorithm for Competing with Dynamic Comparators. [PDF, bibtex]
    Yu-Jie Zhang, Peng Zhao, and Zhi-Hua Zhou.
    In: Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI'20), Toronto, Canada, 2020. Page: 390-399.

  • Bandit Convex Optimization in Non-stationary Environments. [PDF, journal, arXiv, bibtex]
    Peng Zhao, Guanghui Wang, Lijun Zhang, and Zhi-Hua Zhou.
    In: Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS'20), Palermo, Italy, 2020. Page: 1508-1518.

  • A Simple Approach for Non-stationary Linear Bandits. [PDF, errata, bibtex]
    Peng Zhao, Lijun Zhang, Yuan Jiang, and Zhi-Hua Zhou.
    In: Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS'20), Palermo, Italy, 2020. Page: 746-755.

  • Optimal Margin Distribution Learning in Dynamic Environments. [PDF, bibtex]
    Teng Zhang, Peng Zhao, and Hai Jin.
    In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, 2020. Page: 6821-6828.

  • Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. [PDF, code, bibtex]
    Xin-Qiang Cai, Peng Zhao, Kai Ming Ting, Xin Mu, and Yuan Jiang.
    In: Proceedings of the 19th International Conference on Data Mining (ICDM'19), Beijing, China, 2019. Page: 970-975.

  • Learning from Incomplete and Inaccurate Supervision. [PDF, code, bibtex]
    Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, and Zhi-Hua Zhou.
    In: Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AL, 2019. Page: 1017-1025.

  • Improving Deep Forest by Confidence Screening. [PDF, code, bibtex]
    Ming Pang, Kai Ming Ting, Peng Zhao, and Zhi-Hua Zhou.
    In: Proceedings of the 18th IEEE International Conference on Data Mining (ICDM'18), Singapore, 2018. Page: 1194-1199.

  • Label Distribution Learning by Optimal Transport. [PDF, supp, code, bibtex]
    Peng Zhao, Zhi-Hua Zhou.
    In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, Louisiana, 2018. Page: 4506-4513.

  • Dual Set Multi-Label Learning. [PDF, supp, code, bibtex]
    Chong Liu, Peng Zhao, Sheng-Jun Huang, Yuan Jiang, and Zhi-Hua Zhou.
    In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, Louisiana, 2018. Page: 3635-3642.

  • Multi-View Matrix Completion for Clustering with Side Information. [PDF, code, bibtex]
    Peng Zhao, Yuan Jiang, and Zhi-Hua Zhou.
    In: Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'17), LNCS, Jeju, Korea, 2017. Page:403-415.

Journal Papers

  • Bandit Convex Optimization in Non-stationary Environments. [PDF, arXiv, bibtex]
    Peng Zhao, Guanghui Wang, Lijun Zhang, and Zhi-Hua Zhou.
    Journal of Machine Learning Research (JMLR), 22(125):1−45, 2021.

  • 基于决策树模型重用的分布变化流数据学习. [PDF]
    赵鹏, 周志华.
    中国科学:信息科学, 2021, 51(1): 1-12.

  • Learning from Incomplete and Inaccurate Supervision. [PDF, official version, code, bibtex]
    Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, and Zhi-Hua Zhou.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, in press.

  • Improving Deep Forest by Screening. [PDF, official version, bibtex]
    Ming Pang, Kai Ming Ting, Peng Zhao, and Zhi-Hua Zhou.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, in press.

  • Distribution-Free One-Pass Learning. [PDF, official version, code, bibtex]
    Peng Zhao, Xinqiang Wang, Siyu Xie, Lei Guo, and Zhi-Hua Zhou.
    IEEE Transaction on Data Engineering (TKDE), 33(3): 951-963, 2021.

  • Handling Concept Drift via Model Reuse. [PDF, official version, code, bibtex]
    Peng Zhao, Le-Wen Cai, and Zhi-Hua Zhou.
    Machine Learning Journal (MLJ), 109(3): 533-568, 2020.

Technical Notes

  • Non-stationary Linear Bandits Revisited. [PDF, arXiv]
    Peng Zhao and Lijun Zhang. Technical Note, 2021.



Teaching Assistant



Academic Service

  • AAAI-19 Workflow Chair.

  • Reviewer for Conferences: AAAI (2019, 2020, 2021, 2022); AISTATS (2019, 2020, 2021,2022); ICML (2019, 2020, 2021); UAI (2019, 2020, 2021); NeurIPS (2019, 2020, 2021); ICLR (2021,2022); IJCAI (2021).

  • Reviewer for Journals: IEEE TKDE, Machine Learning, ACM TKDD, ACM TIST.



Awards & Honors

  • Baidu Scholarship, Baidu Inc, 2019

  • AAAI-19 Contribution Award as Workflow Chair, AAAI, 2019

  • National Scholarship for Doctoral Students, MOE of PRC, 2019

  • Presidential Special Scholarship for first-year Ph.D. Students in Nanjing University, Nanjing, 2016

  • Bao Gang Education Scholarship for Undergraduate, Shanghai, 2015

  • National Scholarship for Undergraduates, MOE of PRC, 2014, 2013



Correspondence

    Email: zhaop [at] lamda.nju.edu.cn or zhaopeng.gm [at] gmail.com

    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
    (In Chinese: 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)

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