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Biography

2023-. I am currently employed as an Algorithm Engineer at Kuaishou, where my primary responsibility lies in the development of cutting-edge algorithms within the realm of computational advertising.
2020-2023. I obtained my M.Sc. degree from the School of Artificial Intelligence at Nanjing University (NJU), where I am very fortunate to be a member of LAMDA Group and supervised by Prof. Zhi-Hua Zhou.
My research interests include machine learning and data mining, especially:
- weakly supervised learning
- machine learning under online distribution shift
2016-2020. I obtained my B.Sc. degree in the School of Computer Science and Engineering from Beihang University (BUAA) in June 2020, achieving a remarkable GPA of 3.86, which placed me in the top 1%. Then, I was admitted to pursue M.Sc. degree at Nanjing University without entrance examination.

Yu-Yang Qian*, Yong Bai*, Zhen-Yu Zhang, Peng Zhao, and Zhi-Hua Zhou. Handling New Class in Online Label Shift. In: Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM 2023), Shanghai, China, 2023. Page: to appear. [PDF]
Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng. Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, California, 2023. Page: 3774-3784. [ArXiv]
Yong Bai*, Yu-Jie Zhang*, Peng Zhao, Masashi Sugiyama, and Zhi-Hua Zhou. Adapting to Online Label Shift with Provable Guarantees. In: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, Louisiana, 2022. Page: 29960-29974. [ArXiv] [PDF] [Code]
Yong Bai, Yuan-Fang Guo, Jin-Jie Wei, Lin Lu, Rui Wang and Yun-Hong Wang. Fake Generated Painting Detection via Frequency Analysis. In: 2020 IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi, United Arab Emirates, 2020. Page: 1256-1260. [ArXiv]

2022. I worked as a research intern in Alimama BU, Alibaba Group. I mainly focus on improving conversion rate (CVR) prediction under distribution shift for advertising systems.
2019-2020. I had an internship in the IRIP Lab, Beihang University. I did research on image forgery detection and finished my graduation project under the supervision of Assistant Professor Yuanfang Guo.
2019. I had an internship in the KEG Lab, Tsinghua University. I participated in the development of AMiner.
2018. I had an internship in SenseTime. I did research on clustering algorithm in new retail. Besides, I also developed a camera calibration tool.

Introduction to Robotics. (Spring, 2021)
Software Engineering. (Spring, 2020)
Computer Organization. (Fall, 2018; As a member of the S.T.A.R teaching assistant team.)
Basic Knowledge of University Computer. (Spring, 2018)

2023, Outstanding Graduate of Nanjing University.
2023, Excellent Student of Nanjing University.
2022, National Scholarship.
2021, First Place, Commercial track of Sinovation Ventures DeeCamp Contest. (Team captain)
2020, Outstanding Graduate of Beihang University.
2019, First Prize, the 10th "Lanqiao Cup" Provincial Competition (Group A, C/C++ Group).
2019, First Prize, the 29th "Feng Ru Cup" Competition of Academic and Technological Works. (Team captain)
2017, 2018, National Scholarship.
2017, 2018, Excellent Student of Beihang University.

Volunteering. I used to be a senior member of the department of voluntry teaching, Bluesky Volunteers' Assocaition, Beihang University.
Editing. I used to be the editor of two wechat official accounts of Beihang University (i.e., 微言航语, 知心助航). Currently I am an editor of "LAMDA Communication", a quarterly of LAMDA Group.
Volleyball.
Frisbee.
Reading books.
Photographing.