| 2026 | ISCAS | Mutual Information Loss for Enhancing Class-Wise Representation in Spiking Neural Networks. | Yiling Yang, Yirong Kan, Renyuan Zhang, Yasuhiko Nakashima |
| 2024 | IJCAI | Boosting Single Positive Multi-label Classification with Generalized Robust Loss. | Yanxi Chen, Chunxiao Li, Xinyang Dai, Jinhuan Li, Weiyu Sun, Yiming Wang, Renyuan Zhang, Tinghe Zhang, Bo Wang |
| 2024 | ISCAS | A Fully-Parallel Reconfigurable Spiking Neural Network Accelerator with Structured Sparse Connections. | Mingyang Li, Yirong Kan, Renyuan Zhang, Yasuhiko Nakashima |
| 2023 | ACML | Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency. | Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang |
| 2022 | IJCAI | Multi-Tier Platform for Cognizing Massive Electroencephalogram. | Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang |
| 2022 | ISCAS | A Low Power DNN-based Speech Recognition Processor with Precision Recoverable Approximate Computing. | Bo Liu, Xuetao Wang, Renyuan Zhang, Anfeng Xue, Ziyu Wang, Haige Wu, Hao Cai |
| 2020 | ISCAS | A Compact and Accuracy-Reconfigurable Univariate RBF Kernel Based on Stochastic Logic. | Van-Tinh Nguyen, Tieu-Khanh Luong, Renyuan Zhang, Yasuhiko Nakashima |
| 2019 | ACSSC | Robust and Adaptive Radar Elliptical Density-Based Spatial Clustering and labeling for mmWave Radar Point Cloud Data. | Renyuan Zhang, Siyang Cao |
| 2016 | ISCAS | A 16-valued logic FPGA architecture employing analog memory circuit. | Renyuan Zhang, Mineo Kaneko |
| 2015 | ISCAS | A feasibility study of quaternary FPGA designs by implementing Neuron-MOS mechanism. | Renyuan Zhang, Mineo Kaneko |
| 2012 | ICAISC | Real-Time On-Line-Learning Support Vector Machine Based on a Fully-Parallel Analog VLSI Processor. | Renyuan Zhang, Tadashi Shibata |
| 2012 | ICAISC | Real-Time Object Tracking Algorithm Employing On-Line Support Vector Machine and Multiple Candidate Regeneration. | Pushe Zhao, Renyuan Zhang, Tadashi Shibata |
| 2010 | ISCAS | A low voltage CMOS rectifier for wirelessly powered devices. | Qiang Li, Renyuan Zhang, Zhangcai Huang, Yasuaki Inoue |