I am a third-year PhD student at the UC Santa, Barbara in the Department of Computer Science, and I am honored to work with Dr. Bu as my advisor. He is very talented and has been a great source of inspiration for me. Prior to this, I earned my B.S. degree from Shandong University in 2019.

My research focuses on the intersection of machine learning and information theory. I am particularly interested in exploring how information-theoretic principles can be connected to the generalization and fairness of various neural network models.

My current work focuses on quantifying generative models’ behavior in distributional space, especially diffusion models, and on the thinking time of LLMs. If you’re interested, please contact me at haobo@ucsb.edu.

📝 Publications

Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective Firas Laakom, Haobo Chen, Jürgen Schmidhuber, Yuheng Bu, International Conference on Machine Learning (ICML) 2025. (acceptance rate: 29%)

An Algorithm for Computing the Capacity of Symmetrized KL Information for Discrete Channels Haobo Chen, Gholamali Aminian, Yuheng Bu, Allerton Conference on Communication, Control, and Computing (Allerton) 2024

Gibbs-Based Information Criteria and the Over-Parameterized Regime Haobo Chen, G. W. Wornell, Yuheng Bu, International Conference on Artificial Intelligence and Statistics (AISTATS) 2024 (acceptance rate: 28%)

🎖 Honors and Awards

• 2018.08, First Prize (15/600), 13th National College Students “Enzhipu Cup” Intelligent Car Competition

📖 Educations

• 2023- now, in CS at the University of Santa Barbara, California
• 2021.06 -2023, M.S. in ECE at the University of FloridaUniversity of Flroida, Florida
• 2015.09 - 2019.06, Barcholor. in Shandong University, Shandong