About me

I am a third-year Ph.D. student studying IC design and computer architecture in the College of Future Information Technology (FIT) at Fudan University (FDU) where I am advised by Prof. Zhuo Zou and Prof. Li-Rong Zheng. I am also with the State Key Laboratory of Integrated Chips and Systems (SKLICS), Fudan University. Before that, I received my B.E. degree in microelectronics science and engineering from the School of Electronics and Information Technology (School of Microelectronis) at Sun Yat-sen University (SYSU), where I am advised by Prof. Tao Su.

I have a broad interest in Processing-In-Memory (PIM) architecture, emerging AI accelerator and the memory-centric neuromorphic hardware.

Education

Fudan University (FDU), Shanghai, China

Aug. 2023 - Jun. 2028 (expected)
Ph.D. in Electronic Science and Technology

Sun Yat-sen University (SYSU), Guangzhou, China

Aug. 2019 - Jun. 2023
B.E. in Microelectronics Science and Engineering

Publications

First-Author Publications

CIMS: A CAM-Based In-Memory Sorting Architecture for Efficient Top-K Ranking [link]
Yuhan He, Siheng Lei, Tianxi Hu, Rui Qiao, Li-Rong Zheng, Zhuo Zou
2026 IEEE International Symposium on Circuits and Systems (ISCAS), 2026 (Accepted).

CAMPRO: A CAM-Based Processing-In-Memory Processor for Hyperdimensional Computing [link]
Yuhan He, Tianxi Hu, Anqin Xiao, Fanxi Yang, Hengtan Zhang, Li-Rong Zheng, Zhuo Zou
IEEE Transactions on Circuits and Systems I: Regular Papers, 2025.

CAP-HDC: A CAM-Based Processor for Hyperdimensional Computing [link]
Yuhan He, Anqin Xiao, Tianxi Hu, Fanxi Yang, Hengtan Zhang, Li-Rong Zheng, Zhuo Zou
2025 IEEE International Symposium on Circuits and Systems (ISCAS), 2025.

CorTile: A Scalable Neuromorphic Processing Core for Cortical Simulation With Hybrid-Mode Router and TCAM [link]
Fanxi Yang, Yuhan He, Jinqiao Yang, Anqin Xiao, Lufei Fan, Ning Ma, Li-Rong Zheng, Zhuo Zou
IEEE Transactions on Circuits and Systems I: Regular Papers, 2024 (Co-first Author).

Co-Authored Publications

A Compressed Sensing Neuromorphic Processor for Sparse Signal Classification [link]
Liyu Qian, Zikai Zhu, Yuhan He, Jie Lu, Yaojie Sun, Jiahui Guo, Lirong Zheng, Zhuo Zou
Frontiers in Neuroscience, 2026.

Variation-Tolerant Circuit Design and Online Learning Framework for Memristor-Based Trace-STDP SNN [link]
Yi Zheng, Yuhan He, Ruisi Shen, Jie Li, Ruijia Wang, Duyu Wang, Li-Rong Zheng, Zhuo Zou, Jiawei Xu
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2026.

ELite: An Educational Lightweight Heterogeneous-FPGA-Based Cloud Platform for AI Computing System Courses
Huidong Ji, Xing Guo, Zhuoquan Yu, Yue Cao, Junfu Wu, Yuhan He, Chen Ding, Li-Rong Zheng, Zhuo Zou
2026 IEEE Global Engineering Education Conference (EDUCON), 2026.

A 40-nm Sub-mJ/transfer HDC-SNN Hybrid Processor Enabling On-Chip Few-Shot Transfer Learning for IoT Applications [link]
Anqin Xiao, Jinqiao Yang, Wanling Yang, Xin Zhang, Yuhan He, Ziyi Yang, Li-Rong Zheng, Zhuo Zou
IEEE Transactions on Circuits and Systems for Artificial Intelligence, 2026.

PHENICS: A Scalable Neuromorphic FPGA Architecture for Million-Neuron Cortical Simulation with 4.6× Real-Time Acceleration [link]
Fanxi Yang, Lufei Fan, Qi Jiang, Yuhan He, Hanwen Ou, Xun He, Li-Rong Zheng, Zhuo Zou
IEEE Transactions on Circuits and Systems I: Regular Papers, 2026.

A Self-Supervised Neuromorphic Processor Using High-Dimensional Representations for Cognitive Map Navigation
Anqin Xiao, Luyu Yang, Yuhan He, Hengtan Zhang, Ziyi Yang, Lirong Zheng, Zhuo Zou
2026 Design, Automation and Test in Europe Conference (DATE), 2026.

A Compressed Sensing Spiking Neural Network System for Radar-Based HGR [link]
Liyu Qian, Zikai Zhu, Yuhan He, Jie Lu, Yaojie Sun, Lirong Zheng, Zhuo Zou
2025 IEEE 16th International Conference on ASIC (ASICON), 2025.

A Dual-Mode Neuromorphic Controller with On-Chip Learning for Robot Motion Control [link]
Hengtan Zhang, Zeyu Wang, Jinqiao Yang, Yifu Liang, Yuhan He, Li Gong, Li-Rong Zheng, Zhuo Zou
IEEE Transactions on Circuits and Systems Part II: Express Briefs, 2025.

A Neuromorphic Controller with On-Chip Learning for Robot Motion Control [link]
Hengtan Zhang, Zeyu Wang, Jinqiao Yang, Yuhan He, Fanxi Yang, Li-Rong Zheng, Zhuo Zou
2025 IEEE International Symposium on Circuits and Systems (ISCAS), 2025.

TSCM: A TCAM-Based Sparse Connection Memory Architecture in Neuromorphic Computing System for Cortical Simulation [link]
Fanxi Yang, Yuhan He, Ning Ma, Lirong Zheng, Zhuo Zou
2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.

Honors and Awards

2025.10 Boeing Scholarship (Corporate-named honors scholarship)
2024.10 First-Class Graduate Scholarship of FDU
2022.11 National Scholarship (Highest-level student award of the PRC)