Xinwen Zhang
Ph.D. Student in Computer & Information Science, Temple University
I am a Ph.D. student in Computer & Information Science at Temple University, advised by Dr. Hongchang Gao and also working closely with Dr. Richard Souvenir. My research focuses on designing large-scale optimization algorithms, including:
- Stochastic optimization beyond minimization (e.g., minimax, compositional, bilevel and multi-level problems)
- Distributed optimization (federated and decentralized settings)
- Optimization for large language models (pretraining and post-training)
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Temple UniversityPh.D. Student in Computer & Information Science
Advisor: Dr. Hongchang GaoAug. 2022 - present -
Tongji UniversityB.S. in MathematicsSep. 2017 - Jul. 2021
Honors & Awards
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Outstanding Graduate Research Assistant Award in CIS at Temple University, ICML Gold Reviewer.2026
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Female Student Award in Data Science at ICDM, ICDM Travel Award.2025
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ICML Travel Award.2024
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KDD Student Traval Award, NuerIPS Scholar Award, WiML Travel Award.2023
News
2026
Three papers accepted by ICML2026! Including two first-author papers and one collaborative paper.
📄 LS2MC-GDA: A Smoothed Algorithm for Federated Stochastic Compositional Minimax Optimization
📄 Distributed Stochastic K-Level Optimization Over Networks
📄 Convergence Analysis of Decentralized Hessian-/Jacobian-Free Algorithm for Nonconvex Stochastic Bilevel Optimization
May
🏅 Been awarded the Outstanding Graduate Research Assistant in Department of Computer and Information Sciences at Temple University!
Apr
One paper by our co-author accepted by IEEE Transactions on Networking 2026!
Feb
2025
🏅 Been awarded the Female Student Award in Data Science at ICDM 2025!
Nov
Three papers released on arXiv recently
Oct
One paper accepted by NeurIPS2025!
Sep
One tutorial accepted by ICDM2025!
Sep
One paper accepted by ICDM2025!
Aug
One tutorial accepted by IJCAI2025!
Apr
One paper by our co-author accepted by IWQoS2025!
Apr
2024
One paper accepted by ICML2024!
May
2023
One poster accepted by WiML2023 Workshop!
🖇️ A Fast Federated Stochastic Compositional Minimax Optimization Algorithm with Variance Reduction
Sep
One paper accepted by NeurIPS2023!
Sep
One tutorial accepted by KDD2023!
Apr
Service
Reviewer
- ICLR, AISTATS, AAAI, ICML, KDD, NeurIPS (2026)
- ICLR, AISTATS, AAAI, ICML, KDD, NeurIPS (2025)
- AAAI, ICML, NeurIPS (2024)
- Journal of Combinatorial Optimization
Teaching
- CIS3715 Principles of Data Science — Spring 2023, Spring 2024
- CIS1051 Introduction to Problem Solving and Programming in Python — Fall 2022, Spring 2023, Fall 2023, Spring2024, Fall 2024