Minjia Zhang

Assistant Professor, Computer Science, University of Illinois at Urbana-Champaign

Joined

January 2018

Names

Minjia Zhang

Emails

****@microsoft.com (Confirmed)

****@gmail.com (Confirmed)

****@illinois.edu (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Computer Science, University of Illinois at Urbana-Champaign (uiuc.edu)

2024 – Present

Principle Researcher

Microsoft AI and Research, Microsoft (microsoft.com)

2016 – 2024

PhD student

Computer Science, Ohio State University (osu.edu)

2010 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Michael D. Bond

2011 – 2016

Expertise

Distributed Training

2018 – 2026

Compression Algrotithms

2017 – 2026

Machine Learning Systems

2016 – 2026

Efficient Training and Inference Algorithms

2016 – 2026

Publications

MENTOR: Efficient Multimodal-Conditioned Tuning for Language-Guided Visual Generation Agents
Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Jiuxiang Gu, Wen Xiao, Minjia Zhang, Junjie Hu
- MSLD 2026 Poster
- Readers: Everyone
MMGR: Multi-Modal Generative Reasoning Benchmarking World Models for Language-Grounded Agents
Zefan Cai, Haoyi Qiu, Tianyi Ma, Haozhe Zhao, Gengze Zhou, Kung-Hsiang Huang, Parisa Kordjamshidi, Minjia Zhang, Wen Xiao, Jiuxiang Gu, Nanyun Peng, Junjie Hu
- MSLD 2026 Poster
- Readers: Everyone
AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
Ahan Gupta, Zhihao Wang, Neel Dani, Masahiro Tanaka, Olatunji Ruwase, Minjia Zhang
- ICLR 2026 Poster
- Readers: Everyone
Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
Ziyan Wang, Zheng Wang, Xingwei Qu, Qi Cheng, Jie Fu, Shengpu Tang, Minjia Zhang, Xiaoming Huo
- ICLR 2026 Poster
- Readers: Everyone
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
Mingyuan Wu, Jingcheng Yang, Jize Jiang, Meitang Li, Kaizhuo Yan, Hanchao Yu, Minjia Zhang, ChengXiang Zhai, Klara Nahrstedt
- ICLR 2026 Poster
- Readers: Everyone
From Collapse to Control: Understanding and Extending Context Length in Emerging Hybrid Models via Universal Position Interpolation
Haochen Shen, Davis Wertheimer, Zheng Wang, Garrett Goon, Derrick Liu, Naigang Wang, Mudhakar Srivatsa, Raghu K. Ganti, Minjia Zhang
- ICLR 2026 Poster
- Readers: Everyone
PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference
Yushu Zhao, Zheng Wang, Minjia Zhang
- Submitted to ICLR 2026
- Readers: Everyone
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
- KnowFM @ ACL 2025
- Readers: Everyone
MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators
Beichen Huang, Yueming Yuan, ZELEI SHAO, Minjia Zhang
- MLSys 2025
- Readers: Everyone
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances
Jiangfei Duan, Ziang Song, Xupeng Miao, Dahua Lin, Harry Xu, Minjia Zhang, Zhihao Jia
- NSDI'24
- Readers: Everyone

View all 38 publications

Co-Authors

View all 125 co-authors