I’m a research fellow at the National University of Singapore (NUS) working with Prof. Li-Shiuan Peh. Prior to this, I completed a Ph.D. at the National University of Singapore, postgraduate studies at Fudan University, and undergraduate studies at Jilin University. I worked as a research intern at AMD Research in 2024. I was awarded the Samsung Scholarship in 2018, the Micron Foundation Prize in 2022, and the IEEE CASS Student Grant in 2025. My current research focuses on the scalability and reconfigurability of the non-von Neumann architectures in accelerating emerging AI algorithms.

🆕News

2026.07 🎉 One paper accepted to ICCAD’26!
2026.05 🎉 Two papers accepted to JETCAS!
2026.05 🎉 One book chapter published by Wiley!
2026.01 🎉 Three co-authored papers accepted to ISCAS’26!
2025.09 🎉 Awarded the IEEE CASS student travel grant!
2025.07 🎉 One paper accepted to ICCAD’25!

📜Selected Publications

[ICCAD ‘26] OmniAcc: A Heterogeneous Memory-Centric LLM Accelerator with Reconfigurable Fixed-Point Nonlinear Operations and Layer-Agnostic Compute Fabric
Yimin Wang#, Zixuan Wang#, Yue Jiet Chong, Xuanyao Fong*

[ICCAD ‘25] LEAP: LLM Inference on Scalable PIM-NoC Architecture with Balanced Dataflow and Fine-Grained Parallelism
Yimin Wang#, Yue Jiet Chong#, Xuanyao Fong* Paper

[JETCAS ‘26] JADE: Joint Architecture-Dataflow Exploration for LLM Inference on Heterogeneous In- and Near-memory Computing Systems
Yimin Wang, Zhen Wu, Yue Jiet Chong, Xuanyao Fong* Paper

[JETCAS ‘26] ULTER: Unified Latch-Based Hardware Solver for Versatile Combinatorial Optimization Problems
Yimin Wang, Xuanyao Fong* Paper

[JETCAS ‘23] Benchmarking DNN Mapping Methods for the In-Memory Computing Accelerators
Yimin Wang, Xuanyao Fong* Paper