Welcome to my homepage!
I’m a third-year PhD student in Computer Science and Engineering at University of Michigan, Ann Arbor, advised by Prof. Mosharaf Chowdhury. My current research interests involve Agentic AI Systems, Multimodal Model Training and Distributed Machine Learning.
Before UMich, I completed my MSc in Computer Science at University of British Columbia, working with Prof. Ivan Beschastnikh and Prof. Mathias Lécuyer. I obtained my Bachelor’s in Computing at Hong Kong Polytechnic University, under the supervision of Prof. Song Guo.
News
- 2026-01 - Mordal has been accepted to ICLR 2026.
- 2026-01 - TetriServe has been accepted to ASPLOS 2026.
-
2025-06 - Work as a research intern at Alibaba Tongyi Lab.
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications - 2024-12 - FedFetch has been accepted to INFOCOM 2025.
- 2024-05 - Lotto has been accepted to USENIX Security 2024.
- 2023-09 - Starting my PhD at UMich!
- 2023-06 - Work as a research assistant at HKUST, under the supervision of Prof. Wei Wang.
- 2023-05 - FedAMD has been accepted to ICML 2023.
Selected Publications & Preprints
-
Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory
Shiqi He, Yue Cui, Xinyu Ma, Yaliang Li, Bolin Ding, Mosharaf Chowdhury
arXiv Preprint [.pdf] -
TetriServe: Efficient DiT Serving for Heterogeneous Image Generation
Runyu Lu*, Shiqi He*, Wenxuan Tan, Shenggui Li, Ruofan Wu, Jeff J. Ma, Ang Chen, Mosharaf Chowdhury
ASPLOS 2026 [.pdf] -
Mordal: Automated Pretrained Model Selection for Vision Language Models
Shiqi He, Insu Jang, Mosharaf Chowdhury
ICLR 2026 [.pdf] -
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
USENIX Security 2024 [.pdf] -
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
MLSys 2023 [.pdf] -
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
Rindranirina Ramamonjison, Timothy Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
NeurIPS 2022 Competitions [.pdf]