A Multi-grained Reconfigurable Accelerator for Approximate Computing. - Yirong Kan; Man Wu; Renyuan Zhang; Yasuhiko Nakashima (ISVLSI, 2020)

An Elastic Neural Network Toward Multi-Grained Re-configurable Accelerator. - Man Wu; Yan Chen; Yirong Kan; Takeshi Nomura; Renyuan Zhang; Yasuhiko Nakashima (NEWCAS, 2020)

DiaNet: An elastic neural network for effectively re-configurable implementation. - Man Wu; Yirong Kan; Tati Erlina; Renyuan Zhang; Yasuhiko Nakashima (Neurocomputing, 2021)

Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks. - Haohui Jia; Ziwei Yang 002; Pei Gao; Man Wu; Chen Li 027; Yirong Kan; Renyuan Zhang (BIBM, 2022)

Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring. - Lingwei Zhu; Ziwei Yang 002; Koki Odani; Guang Shi; Yirong Kan; Zheng Chen 012; Renyuan Zhang (EMBC, 2022)

GAND-Nets: Training Deep Spiking Neural Networks with Ternary Weights. - Man Wu; Yirong Kan; Renyuan Zhang; Yasuhiko Nakashima (SOCC, 2022)

A Stochastic Coding Method of EEG Signals for Sleep Stage Classification. - Guangxian Zhu; Huijia Wang; Yirong Kan; Zheng Chen 012; Ming Huang 002; Md. Altaf-Ul-Amin; Naoaki Ono; Shigehiko Kanaya; Renyuan Zhang; Yasuhiko Nakashima (SOCC, 2022)

Online Learning of Parameters for Modeling User Preference Based on Bayesian Network. - Yirong Kan; Kun Yue; Hao Wu 010; Xiaodong Fu; Zhengbao Sun (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022)

MuGRA: A Scalable Multi-Grained Reconfigurable Accelerator Powered by Elastic Neural Network. - Yirong Kan; Man Wu; Renyuan Zhang; Yasuhiko Nakashima (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Computer-Aided-Prediction of Body Constitution with Efficient Cock-Tail Learning. - Guang Shi; Yirong Kan; Renyuan Zhang (AICAS, 2023)

A Global Optimization Algorithm for Buffer and Splitter Insertion in Adiabatic Quantum-Flux-Parametron Circuits. - Rongliang Fu; Mengmeng Wang 006; Yirong Kan; Nobuyuki Yoshikawa; Tsung-Yi Ho; Olivia Chen (ASP-DAC, 2023)

An Ultra-Compact Calculation Unit with Temporal-Spatial Re-configurability. - Guangxian Zhu; Yirong Kan; Renyuan Zhang; Yasuhiko Nakashima (NEWCAS, 2023)

A Non-deterministic Training Approach for Memory-Efficient Stochastic Neural Networks. - Babak Golbabaei; Guangxian Zhu; Yirong Kan; Renyuan Zhang; Yasuhiko Nakashima (SOCC, 2023)

A Low Latency Spiking Neural Network with Improved Temporal Dynamics. - Yunpeng Yao; Yirong Kan; Guangxian Zhu; Renyuan Zhang (SOCC, 2023)

An FPGA-Oriented Quantization Approach for Vision Transformer with LUT-Friendly Operations. - Cheng Xu; Yirong Kan; Renyuan Zhang; Yasuhiko Nakashima (CANDAR, 2024)

Power-Efficient Acceleration of GCNs on Coarse-Grained Linear Arrays. - Dohyun Kim; Koki Asahina; Yirong Kan; Renyuan Zhang; Yasuhiko Nakashima (COOL CHIPS, 2024)

A Fully-Parallel Reconfigurable Spiking Neural Network Accelerator with Structured Sparse Connections. - Mingyang Li; Yirong Kan; Renyuan Zhang; Yasuhiko Nakashima (ISCAS, 2024)

Bisection Neural Network Toward Reconfigurable Hardware Implementation. - Yan Chen; Renyuan Zhang; Yirong Kan; Sa Yang; Yasuhiko Nakashima (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Lightweight Transformer Model with Dynamic Sparse Mask for Neural Machine Translation. - Nastaran Asadi; Babak Golbabaei; Yirong Kan; Renyuan Zhang; Yasuhiko Nakashima (COOL CHIPS, 2025)

Buffer and Splitter Insertion for Adiabatic Quantum-Flux-Parametron Circuits. - Rongliang Fu; Mengmeng Wang 006; Yirong Kan; Olivia Chen; Nobuyuki Yoshikawa; Bei Yu 001; Tsung-Yi Ho (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)