Mentorship

I mentor/co-mentor undergraduate and graduate students in optimization, machine learning, and scientific computing.

• Abdulaziz AlMuallim (UC Berkeley) Undergraduate research, 2026–

• Yinan Bu (UC Berkeley) Graduate research, 2026–

• Ruoxi Zhao (UC Riverside) Graduate research, 2026–

• Liangcai Huang (Nanyang Technological University)
  Graduate research, Division of Mathematical Sciences, School of Physical & Mathematical Sciences, 2026–
  Second-Order H^1-Norm Error Analysis for Time-Fractional Advection-Dispersion Equations Based on the Fast Averaged L1 Method
  arXiv

• Lucas Cabral (UC Merced) Undergraduate and graduate research, 2024– First position after graduation: PhD at UC Merced

• Cooper Simpson (University of Washington) Graduate research collaboration with Stefan M. Wild's summer PhD student, 2026– Computational Science Graduate Fellow, Department of Energy, 2025

• Yitong He (UC Berkeley to Simon Fraser University)
  Undergraduate research, 2024–2025
  Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
  arXiv

• Chengkuo Bian (UC Berkeley)
  Undergraduate research
  Why and When Neural Networks Improve Local Approximation in Optimization
  arXiv

• Haoyu Yao (UC Berkeley)
  Undergraduate research
  TOBYQA: A Trust-Region Method for Derivative-Free Optimization on Time-Varying Functions
  arXiv

• Shu Zhang, Chuanqi Sun, Hongzheng Yi, Churui Wang, Donghan Wang, Yuyang Wang (UC Berkeley) Undergraduate Research

• Zhaohui Wen, Haiyan Zhang (University of South China) Graduate research, 2024–

• Wei Hu (Chinese Academy of Sciences)
  Graduate research, 2023–
  MATRO: Metric-Aware Fully Quadratic Trust Regions for Derivative-Free Optimization
  arXiv
  BUP-TR: Bayesian Underdetermined Projection Trust-Region Methods for Derivative-Free Optimization
  arXiv
  Distributed Gradient-Regularized Newton Method: Scheduled Consensus and O(ε^{-1}) Global Iteration Complexity
  arXiv

• Zihao Zhou (Xi'an Jiaotong University)
  Graduate research, 2023–
  Objective Value Change and Shape-Based Accelerated Optimization for Neural Network Approximation
  arXiv