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They determined to workout their 1st modification right to free expression by protesting all through the nationwide anthem at the start out of the season. Protesting police violence from African-People in the United States.

<br /> Yu-Hang Zhou’s Homepage<br />

Yu-Hang Zhou (Y.-H. Zhou) ‘s Homepage



Now I am a Senior Algorithm Engineer of Alibaba Group.
In June 2018, I received my M.Sc. degree from Department of Computer Science and Technology in Nanjing University and joined Alibaba DAMO Academy.

In June 2015, I received my B.Sc. degree in Computer Science and Technology from Nanjing University and was admitted to study for a M.Sc. degree in LAMDA Group at Nanjing University, supervised by Prof. Zhi-Hua Zhou.


  • Jun 2018 – Jun 2019: Algorithm Engineer, Alibaba DAMO Academy, Alibaba Group
  • Jul 2019 – Jul 2020: Algorithm Engineer II, Alibaba DAMO Academy, Alibaba Group
  • Aug 2020 – Jul 2021: Algorithm Engineer II, AliExpress Tech Department, Alibaba Group
  • Aug 2021 – Present: Senior Algorithm Engineer, AliExpress Tech Department, Alibaba Group



  1. Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization.
    Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang.
    In: Proceedings of the 15th International Conference on Web Search and Data Mining, 2022 (WSDM’22).

  2. A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments.
    Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, An-Xiang Zeng.
    In: Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021 (AAAI’21).

  3. Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective.
    Yifei Zhao, Yu-Hang Zhou, Mingdong Ou, Huan Xu, Nan Li.
    In: Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020 (KDD’20).

  4. Robust Online Matching with User Arrival Distribution Drift.
    Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin.
    In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence, 2019 (AAAI’19).

  5. Large margin distribution learning with cost interval and unlabeled data.
    Yu-Hang Zhou, Zhi-Hua Zhou.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016, 28(7): 1749-1763.

  6. 代价敏感大间隔分布学习机.
    周宇航, 周志华.
    计算机研究与发展, 2016, 53 (9):1964-1970.

Academic Service

  1. Program Committee Member: IJCAI 2021,2022; AAAI 2020,2021,2022


Awards & Honors

  • Excellent Graduate of Nanjing University. Nanjing, 2018
  • National Graduate Scholarship. Nanjing, 2016
  • Best Student Paper Award, CCFAI. Taiyuan, 2015
  • Excellent Graduate of Nanjing University. Nanjing, 2015
  • Fujitsu Software Scholarship. Nanjing, 2014
  • Red Sun Scholarship Major Award (only 20 students in Nanjing University achieved that year).
    Nanjing, 2013
  • National Undergraduate Scholarship. Nanjing, 2012

The end