
Biography
Yuhao Shu (Member, IEEE) received the B.S. degree in microelectronics science and engineering from Hefei University of Technology, Hefei, China, in 2019. He received the Ph.D. degree in electronic science and technology from ShanghaiTech University, Shanghai, China, and the University of Chinese Academy of Sciences, Beijing, China, in 2025.
He is currently an Associate Professor at the College of Integrated Circuits, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include embedded memory design, in-memory computing, cryogenic CMOS circuits, and energy-efficient circuit and system designs.
Yuhao Shu (Member, IEEE) received the B.S. degree in microelectronics science and engineering from Hefei University of Technology, Hefei, China, in 2019. He received the Ph.D. degree in electronic science and technology from ShanghaiTech University, Shanghai, China, and the University of Chinese Academy of Sciences, Beijing, China, in 2025.
He is currently an Associate Professor at the College of Integrated Circuits, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include embedded memory design, in-memory computing, cryogenic CMOS circuits, and energy-efficient circuit and system designs.
Latest News 🔥
Current
We are looking for self-motivated students to work with us on AI accelerators and SoC chips.
04/2025
A paper entitled, "HDD-RAM: A 40-nm 0.35V 25MHz Half-Select Disturb-Free Memory with Data-Aware 10T SRAM" has been published in Integrated Circuits and Systems and is now available in
IEEE Xplore.
11/2024
A paper entitled, "Overview of Cryogenic CMOS Based Computing Systems" has been published in Integrated Circuits and Systems and is now available in
IEEE Xplore.
05/2024
Our work on cryogenic in-memory computing accelerator has been accepted for publication at the IEEE Journal of Solid-State Circuits (JSSC) 🎉
07/2023
Our work on SRAM-based in-memory computing BNN accelerator has been accepted for publication at IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I).
01/2023
Our work on cryogenic in-memory computing with multi-mode operations has been accepted for presentation at the IEEE Custom Integrated Circuits Conference (CICC) 2023.
01/2023
Our work on 4T gain-cell based cryogenic memory has been accepted for presentation at the IEEE International Symposium on Circuits and Systems (ISCAS) 2023.
01/2021
Our work on binarized CNN accelerator has been accepted for presentation at the IEEE International Symposium on Circuits and Systems (ISCAS) 2021
and has also been invited to the IEEE Transactions on Circuits and Systems II: Express Brief (TCAS-II) 🎉
Publications 📝
I. Representative Papers
- [ICAS'25] Yifei Li, Jian Chen, Yuqi Wang, Wenfeng Zhao, Yuhao Shu*, Yajun Ha*, HDD-RAM: A 40-nm 0.35V 25MHz Half-Select Disturb-Free Memory with Data-Aware 10T SRAM, Integrated Circuits and Systems, 2025
- [ICAS'24] Yuhao Shu, Bin Ning, Yifei Li, Zhaodong Lyu, Jincheng Wang, Lintao Lan, Yuxin Zhou, Mengru Zhang, Hongtu Zhang, Yajun Ha, Overview of Cryogenic CMOS Based Computing Systems, Integrated Circuits and Systems, 2024
- [JSSC'24] Yuhao Shu, Hongtu Zhang, Qi Deng, Hao Sun, Zhaodong Lv, Yifei Li, Yajun Ha, eCIMC: A 603.1-TOPS/W eDRAM-Based Cryogenic In-Memory Computing Accelerator Supporting Boolean/Convolutional Operations, IEEE Journal of Solid-State Circuits, 2024
- [TCAS-I'23] Hongtu Zhang, Yuhao Shu, Qi Deng, Hao Sun, Wenfeng Zhao, Yajun Ha, WDVR-RAM: A 0.25-1.2 V, 2.6-76 POPS/W Charge-Domain In-Memory-Computing Binarized CNN Accelerator for Dynamic AIoT Workloads, IEEE Transactions on Circuits and Systems I: Regular Papers, 2023
- [CICC'23] Yuhao Shu, Hongtu Zhang, Qi Deng, Hao Sun, Yajun Ha, CIMC: A 603TOPS/W In-Memory-Computing C3T Macro with Boolean/Convolutional Operation for Cryogenic Computing, IEEE Custom Integrated Circuits Conference (CICC), 2023
- [ISCAS'23] Yuhao Shu, Hongtu Zhang, Hao Sun, Qi Deng, Yajun Ha, CSDB-eDRAM: A 16Kb Energy-Efficient 4T CSDB Gain Cell eDRAM with over 16.6s Retention Time and 49.23uW/Kb at 4.2K for Cryogenic Computing, IEEE International Symposium on Circuits and Systems (ISCAS), 2023
- [TCAS-II'21] Hongtu Zhang, Yuhao Shu, Weixiong Jiang, Zihan Yin, Wenfeng Zhao, Yajun Ha, A 55nm, 0.4V 5526-TOPS/W Compute-in-Memory Binarized CNN Accelerator for AIoT Applications, IEEE Transactions on Circuits and Systems II: Express Briefs, 2021 (ISCAS'21 Invited Paper)
II. Collaborative Papers
- [TC'25] Jianwen Luo, Yuhao Shu, Yajun Ha, RSQC: Recursive Sparse QUBO Construction for Quantum Annealing Machines, IEEE Transactions on Computers, 2025
- [ISCAS'24] Yifei Li, Yuxin Zhou, Yuhao Shu, Hongyu Chen, Yajun Ha, The Optimization of Aging-aware 8T SRAM for FPGA Configuration Memory, IEEE International Symposium on Circuits and Systems (ISCAS), 2024
- [ISCAS'24] Zhaodong Lv, Hao Sun, Yuhao Shu, Yajun Ha, EarFDA: A Lightweight and Energy-Efficient Fall Detection Accelerator for Ear-Worn Devices, IEEE International Symposium on Circuits and Systems (ISCAS), 2024
- [ISCAS'23] Jianzhong Xiao, Hao Sun, Qi Deng, Xinzhe Liu, Hongtu Zhang, Chengzhang He, Yuhao Shu, Yajun Ha, RPS-KNN: An Ultra-Fast FPGA Accelerator of Range-Projection-Structure K-Nearest-Neighbor Search for LiDAR Odometry in Smart Vehicles, IEEE International Symposium on Circuits and Systems (ISCAS), 2023
- [TCAS-I'23] Hao Sun, Qi Deng, Xinzhe Liu, Yuhao Shu, Yajun Ha, An Energy-Efficient Stream-Based FPGA Implementation of Feature Extraction Algorithm for LiDAR Point Clouds With Effective Local-Search, IEEE Transactions on Circuits and Systems I: Regular Papers, 2023
- [TVLSI'22] Jian Chen, Wenfeng Zhao, Yuqi Wang, Yuhao Shu, Weixiong Jiang, Yajun Ha, A Reliable 8T SRAM for High-Speed Searching and Logic-in-Memory Operations, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2022
- [TVLSI'22] Weixiong Jiang, Heng Yu, Hongtu Zhang, Yuhao Shu, Rui Li, Jian Chen, Yajun Ha, FODM: A Framework for Accurate Online Delay Measurement Supporting All Timing Paths in FPGA, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2022
- [TCAS-II'21] Qi Deng, Hao Sun, Fupeng Chen, Yuhao Shu, Hui Wang, Yajun Ha, An Optimized FPGA-Based Real-Time NDT for 3D-LiDAR Localization in Smart Vehicles, IEEE Transactions on Circuits and Systems II: Express Briefs, 2021
Teaching 🧑🏫
-
Graduate Courses:
- Advanced Digital Integrated Circuits Design (2024~2025, Spring)
- Digital Design Flow of VLSI Systems (TBD) -
Undergraduate Courses:
- Principle and Application of Microcomputer (2024~2025, Spring)
- FPGA Design and Applications (TBD)
Contact ✉️
Office: | Room 8209-2, College of Integrated Circuits, NUAA |
Address: | No. 29, Jiangjun Avenue, Jiangning District, Nanjing, Jiangsu Province, China |
Email: | [email protected] |