Welcome to Yong Bai's Homepage :-)

Yong Bai
白勇

Algorithm Engineer, Alibaba

Beijing, China

Supervisor: Prof. Zhi-Hua Zhou

If you would like to befriend me, please don't hesitate to send me an email! :-)

Biography

Research Interests
Machine Learning Data Mining Weakly Supervised Learning Online Distribution Shift Recommendation Systems
Alibaba
2025 — Now
Algorithm Engineer
Focused on research and engineering of large-scale computational advertising algorithms for Taobao Display Advertising (Alimama), optimizing core recommendation and delivery systems.
Kuaishou
2023 — 2025
Algorithm Engineer
Designed and iterated industrial-grade algorithms for computational advertising.
Nanjing University · School of Artificial Intelligence
2020 — 2023
M.Sc. in Computer Science
Member of LAMDA Group, supervised by Prof. Zhi-Hua Zhou.
Beihang University · School of Computer Science and Engineering
2016 — 2020
B.Sc. in Computer Science
GPA: 3.86 (Top 1%). Admitted to Nanjing University for M.Sc. without entrance examination.

Publications

Published Papers
  • MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms
    KDD 2026
    ArXiv Code
    Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026.
    Jinqi Wu, Sishuo Chen, Zhangming Chan, Yong Bai, Lei Zhang, Sheng Chen, Chenghuan Hou, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chaoyou Fu.
  • EST: Towards Efficient Scaling Laws in Click-Through Rate Prediction via Unified Modeling
    KDD 2026
    ArXiv
    Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026.
    Mingyang Liu*, Yong Bai*, Zhangming Chan, Sishuo Chen, Xiang-Rong Sheng, Han Zhu, Jian Xu, Xinyang Chen.
  • Handling New Class in Online Label Shift
    ICDM 2023
    PDF
    Proceedings of the 23rd IEEE International Conference on Data Mining, Shanghai, China, 2023.
    Yu-Yang Qian*, Yong Bai*, Zhen-Yu Zhang, Peng Zhao, and Zhi-Hua Zhou.
  • Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
    KDD 2023
    ArXiv
    Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, California, 2023.
    Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng.
  • Adapting to Online Label Shift with Provable Guarantees
    NeurIPS 2022
    ArXiv PDF Code
    Advances in Neural Information Processing Systems 35, New Orleans, Louisiana, 2022.
    Yong Bai*, Yu-Jie Zhang*, Peng Zhao, Masashi Sugiyama, and Zhi-Hua Zhou.
  • Fake Generated Painting Detection via Frequency Analysis
    ICIP 2020
    ArXiv
    2020 IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates, 2020.
    Yong Bai, Yuan-Fang Guo, Jin-Jie Wei, Lin Lu, Rui Wang, and Yun-Hong Wang.

* denotes equal contribution.

Preprints
  • VQL: An End-to-End Context-Aware Vector Quantization Attention for Ultra-Long User Behavior Modeling
    Preprint 2025
    ArXiv
    Kaiyuan Li, Yongxiang Tang, Yanhua Cheng, Yong Bai, Yanxiang Zeng, Chao Wang, Xialong Liu, Peng Jiang.
  • BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
    Preprint 2025
    ArXiv
    Kaiyuan Li, Rui Xiang, Yong Bai, Yongxiang Tang, Yanhua Cheng, Xialong Liu, Peng Jiang, Kun Gai.
  • CHIME: A Compressive Framework for Holistic Interest Modeling
    Preprint 2025
    ArXiv
    Yong Bai, Rui Xiang, Kaiyuan Li, Yongxiang Tang, Yanhua Cheng, Xialong Liu, Peng Jiang, Kun Gai.

Internship Experience

  • Alibaba Group · Alimama BU
    2022
    Research Intern
    Focused on improving conversion rate (CVR) prediction under distribution shift for advertising systems.
  • IRIP Lab · Beihang University
    2019 — 2020
    Research Intern · Advisor: Prof. Yuanfang Guo
    Conducted research on image forgery detection and completed graduation project.
  • KEG Lab · Tsinghua University
    2019
    Research Intern
    Participated in the development of AMiner.
  • SenseTime
    2018
    Algorithm Engineer Intern
    Researched clustering algorithms in new retail. Developed a camera calibration tool.

Teaching Assistant

  • Introduction to Robotics
    Spring 2021
  • Software Engineering
    Spring 2020
  • Computer Organization · Member of S.T.A.R team
    Fall 2018
  • Basic Knowledge of University Computer
    Spring 2018

Awards & Honors

Key Awards
  • 2017 2018 2022
    National Scholarship
  • 2024
    Outstanding Master's Thesis Award Jiangsu Association of Artificial Intelligence (JSAI)
Honors
  • 2020 2023
    Outstanding Graduate Beihang University (2020), Nanjing University (2023)
  • 2017 2018 2023
    Excellent Student Beihang University (2017, 2018), Nanjing University (2023)

Open Source Projects

  • Paper-Guanzhi
    GitHub
    A curated collection of the most influential computer science papers, including foundational works from 1936 to the present and Test-of-Time Award papers from top conferences (NeurIPS, ICML, ICLR, KDD, CVPR, ACL, etc.). Named after the Chinese classic "Guwen Guanzhi" (Ancient ProseErta).
  • Awesome-CTR-Scaling
    GitHub
    A curated paper list on scaling up CTR prediction and ranking models for industrial recommendation systems, covering scalable architectures, efficiency, sparse scaling, generative pre-training, and foundation models.

Hobbies

Go Game Go Game
Reading Reading
Frisbee Frisbee
Volleyball Volleyball
  • Volunteer
    Volunteering
    Senior member of the Department of Voluntary Teaching, Bluesky Volunteers' Association, Beihang University.
  • Editing
    Editing
    Editor of two official WeChat accounts of Beihang University (微言航语, 知心助航).
    Editor of LAMDA Communication, a quarterly of LAMDA Group.
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