桂贤进 Xian-Jin Gui (X.-J. Gui) Master Student LAMDA Group Department of Computer Science & Technology Nanjing University, Nanjing 210023, China. Supervisor: Prof. Wei Wang Email: guixj [at] lamda.nju.edu.cn       (alternative: guixianjin [at] 126.com)

Biography

• I received my B.Sc. degree in Information and Computing Science from Department of Mathematics, Nanjing University, China in June 2018.

• From September 2018, I became a M.Sc. student under the supervision of Prof. Wei Wang in the LAMDA Group without entrance examination.

• I joined Huawei CBG and work as Algorithm Engineer after obtaining my M.Sc. degree in July 2021.

• From March 2023, I have transfered to the department Pangu Large Model Group in Huawei Could and work as a LLM Algorithm Expert. Here is my LinkedIn profile.

Main Research Interests

• Learning with Noisy Labels

  Here is a list of recent papers on learning with noisy labels

• Class-Imbalanced Learning

Resources

• AI Conference Deadlines

• Important dates of some AI conferences

• Top publication sites on AI by Google Sholar Metrics

• Top Computer Science Conferences by guide2research

Publications

Here is my Google Scholar profile.

• X.-J. Gui, W. Wang, and Z.-H. Tian. Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), virtual, 2021, pp. 2469-2475. [PDF] [Slides] [Poster] [Code] [Code in Gitee] [Code in Github]

• Z. Han, X.-J. Gui, C. Cui, and Y. Yin. Towards Accurate and Robust Domain Adaptation under Noisy Environments. In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), virtual, 2020, pp. 2269-2276. [PDF] [Code]

• Z. Han, X.-J. Gui, H. Sun, Y. Yin and S. Li. Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). [PDF]

Technical Reports

• X.-J. Gui, B.-B. Yang, H. Ren, Y. Hu and W. Wang. Time Matters: A Novel Real-Time Long- and Short-term User Interest Model for Click-Through Rate Prediction. [PDF]

Teaching Assistant

• 《机器学习理论研究导引》in Spring, 2020. [教材豆瓣链接].

Awards & Honors

• The excellent students of Nanjing University. Nanjing, 2015

• Outstanding graduate from Nanjing University. Nanjing, 2018

Correspondence

Laboratory

Room 327, Computer Science Building, Xianlin Campus of Nanjing University

Mail Address

Xian-Jin Gui
National Key Laboratory for Novel Software Technology,
Nanjing University, Xianlin Campus Mailbox 603,
163 Xianlin Avenue, Qixia District,
Nanjing 210023, China