I’m an incoming research fellow at the National University of Singapore (NUS). Prior to this, I obtained the Ph.D. degree from National University of Singapore and the B.S. degree from Jilin University. I previously pursued the graduate studies at Fudan University (2019-2021), and worked as a research intern at AMD Research (2024). I was awarded the Samsung Scholarship in 2018 and the Micron Foundation Prize in 2022. My current research focuses on the scalability and reconfigurability of the non-von Neumann architectures in accelerating emerging AI algorithms.

🆕News

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 ‘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