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 Content Addressable Memory (CAM)-based 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 (TCAS-I), 2025 (Early Access).

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 (TCAS-I), 2024 (Co-first Author).

Co-Authored Publications

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

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 (TCASAI), 2026 (Early Access).

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 (TCAS-I), 2026 (Early Access).

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 (Accepted).

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

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 (TCAS-II), 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)