I’m an upcoming postdoctoral researcher and a current Ph.D. candidate at the National University of Singapore (NUS). 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📜

You can also find my articles on my Google Scholar profile.
* Corresponding author; # Equally contributed author.

[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

[ISCAS ‘24] Energy-Efficient Ising Machines Using Capacitance-Coupled Latches for MaxCut Solving
Yimin Wang, Xuanyao Fong Paper

[ISCAS ‘24] Design Framework for Ising Machines with Bistable Latch-Based Spins and All-to-All Resistive Coupling
Yimin Wang, Yunuo Cen, Xuanyao Fong Paper

[ISCAS ‘21] Design Framework for SRAM-Based Computing-In-Memory Edge CNN Accelerators
Yimin Wang, Zhuo Zou, Lirong Zheng Paper

Work Experience💼

👨🏻‍💻AMD Singapore (Former Xilinx Asia Pacific)
Research Intern, 07/2024-11/2024
Integrated Communications and AI Lab of AMD Research & Advanced Development
Mentor: Dr. Tushar Chouhan and Dr. Haris Javaid

Education🏫

🎓National University of Singapore, Singapore
Ph.D in Electrical and Computer Engineering, 2022-2026
Computational Nanoelectronics & Nanodevices Lab
Advisor: Prof. Kelvin Xuanyao Fong

🎓Fudan University, Shanghai, China
Graduate student in Microelectronics, 2019-2021
State Key Laboratory of Integrated Chips and Systems
Advisor: Prof. Zhuo Zou and Prof. Lirong Zheng

🎓Jilin University, Changchun, China
B.S. in Electronics, 2015-2019
State Key Laboratory of Integrated Optoelectronics

Teaching👨🏻‍🏫

• Teaching assistant, CEG5202 Embedded Software Systems and Security, Spring 2023 and Spring 2024, NUS
• Teaching assistant, CEG5201 Hardware Technologies, Principles, & Platforms, Fall 2023, NUS
• Teaching assistant, TIE2030 Programming Methodology with Python, Fall 2022 and Fall 2023, NUS
• Teaching assistant, TEE2101 Programming Methodology, Spring 2023 and Spring 2024, NUS
• Teaching assistant, Internet of Things (IoT) Systems and Engineering, Fall 2020, Fudan Univ.

Academic Service🤝

• Reviewer, 2024-Present, IEEE Transactions on Circuits and Systems I: Regular Papers
• Reviewer, 2024-Present, IEEE Transactions on Very Large Scale Integration Systems
• Reviewer, 2025-Present, IEEE Journal on Emerging and Selected Topics in Circuits and Systems
• Reviewer, AICAS’2026: International Symposium on Artificial Intelligence Circuits and Systems
• Reviewer, ISCAS’2025: International Symposium on Circuits and Systems
• Reviewer, ISCAS’2024: International Symposium on Circuits and Systems
• Reviewer, ICCAD’2024: ACM/IEEE International Conference on Computer-Aided Design
• Reviewer, ICONS’2023: International Conference on Neuromorphic Systems
• Reviewer, SOCC’2021: 34th IEEE International System-on-Chip Conference

Award🎖️

• Student Travel Grant, IEEE CASS, 2025
• NUS Research Scholarship, National University of Singapore, 2022
• Micron Foundation Prize, 2022
• Second-Class Scholarship, Fudan University, 2020
• First-Class Scholarship, Fudan University, 2019
• Oustanding Graduate Award, Jilin University, 2019
• Samsung Scholarship, 2017
• First-Class Scholarship, Jilin University, 2016, 2017, 2018, 2019

Invited Talks🗨️

• “Hardware-Software Co-Design for Memory-Centric Architectures in AI Era,” Hunan University, China, 2025.
• “Hardware-Software Co-Design for Memory-Centric Architectures in AI Era,” Hefei University of Technology, China, 2025.

Media Coverage📰

• “Chip Industry Technical Paper Roundup: Nov. 18,” Semiconductor Engineering Link
• “Silicon Photonic Interconnected Chiplets with Computational Network and IMC for LLM Inference Acceleration,” Semiconductor Engineering Link
• “PICNIC: Silicon Photonic Interconnected Chiplets with Computational Network and In-memory Computing for LLM Inference Acceleration,” Chiplet Marketplace Link