Cedar Site Bai
Scholar

Cedar Site Bai

Google Scholar ID: Vnc1dYAAAAAJ
Purdue University, Ph.D. Candidate of Computer Science
Machine LearningOptimization
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Citations & Impact
All-time
Citations
347
 
H-index
3
 
i10-index
3
 
Publications
9
 
Co-authors
12
list available
Contact
Emailbai123@purdue.eduCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
3 items
Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization
2026
Cited
0
Stacey: Promoting Stochastic Steepest Descent via Accelerated $ell_p$-Smooth Nonconvex Optimization
2025
Cited
0
Model Immunization from a Condition Number Perspective
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Publications:
  • - ICML 2025 (Oral, top 1%): On model immunization through condition number
  • - COLT 2025: On acceleration for ℓp steepest descent
  • - ICML 2025: On stochastic ℓp descent for nonconvex optimization
  • - ICLR 2025 (Oral, top 1.8%): On high-order & uniformly convex optimization
  • - ICLR 2024: On federated composite saddle point optimization
  • - TMLR 2024: On dual convexified CNNs
  • - IJCAI 2021: On hindsight deep reinforcement learning
  • - IROS 2019: Two papers accepted
  • - Reviewer Experience: NeurIPS 2025, ICML 2025, AISTATS 2025, TMLR, ICLR 2025, AAAI 2025, NeurIPS 2024, ICML 2024, ICLR 2024, NeurIPS 2023, AISTATS 2023
Research Experience
  • - Summer 2025: Applied Scientist Intern at Amazon Prime Video, Personalization Team
  • - Summer 2024: Machine Learning Engineer Intern at TikTok, Ads Team
  • - 2017 - 2020: Research Assistant at Institute of Artificial Intelligence and Robotics, XJTU, Advisors: Prof. Xuguang Lan and Dr. Hanbo Zhang, Research Area: Deep Reinforcement Learning
  • - Summer 2018: Research Intern at National University of Singapore, School of Computing
  • - Fall 2018: Exchange Student at University of California, Berkeley
Education
  • - Ph.D. in Computer Science, Purdue University, Advisor: Prof. Brian Bullins, 2020 - Present
  • - M.S. in Statistics and Computer Science, Purdue University, 2024
  • - B.S. in Computer Science, Xi'an Jiaotong University, Qian Xuesen Honors College, 2014 - 2020
Background
  • - Research Interests: Optimization (theory) for machine learning, model immunization, statistical learning theory
  • - Professional Field: Computer Science, Statistics
  • - Brief Introduction: Currently a Ph.D. student in the Department of Computer Science at Purdue University, focusing on optimization theory for machine learning.
Miscellany
  • - Personal Interests: Robotics, Computer Vision, Machine Learning
Co-authors
12 total
Hanbo Zhang
Hanbo Zhang
National University of Singapore
Brian Bullins
Brian Bullins
Assistant Professor, Purdue University
David Hsu
David Hsu
Professor of Computer Science, National University of Singapore
Jean Honorio
Jean Honorio
Senior Lecturer at CIS, University of Melbourne; Adjunct Professor at CS & Stats, Purdue University
Co-author 5
Co-author 5
Amber Yijia Zheng
Amber Yijia Zheng
PhD Student, Purdue University
Raymond A. Yeh
Raymond A. Yeh
Assistant Professor of Computer Science, Purdue University
Petros Drineas
Petros Drineas
Professor, Computer Science Department, Purdue University