A high-throughput and energy-efficient RRAM-based convolutional neural network using data encoding and dynamic quantization. - Xizi Chen; Jingbo Jiang; Jingyang Zhu; Chi-Ying Tsui (ASP-DAC, 2018)

SparseNN: An energy-efficient neural network accelerator exploiting input and output sparsity. - Jingyang Zhu; Jingbo Jiang; Xizi Chen; Chi-Ying Tsui (DATE, 2018)

CompRRAE: RRAM-based convolutional neural network accelerator with reduced computations through a runtime activation estimation. - Xizi Chen; Jingyang Zhu; Jingbo Jiang; Chi-Ying Tsui (ASP-DAC, 2019)

SubMac: Exploiting the subword-based computation in RRAM-based CNN accelerator for energy saving and speedup. - Xizi Chen; Jingbo Jiang; Jingyang Zhu; Chi-Ying Tsui (Integr., 2019)

Tight Compression: Compressing CNN Model Tightly Through Unstructured Pruning and Simulated Annealing Based Permutation. - Xizi Chen; Jingyang Zhu; Jingbo Jiang; Chi-Ying Tsui (DAC, 2020)

A Reconfigurable Winograd CNN Accelerator with Nesting Decomposition Algorithm for Computing Convolution with Large Filters. - Jingbo Jiang; Xizi Chen; Chi-Ying Tsui (CoRR, 2021)

TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural Network. - Xiaomeng Wang; Xuejiao Liu; Xianghong Hu; Xiaopeng Zhong; Xizi Chen; Yu Liu 007; Patrick Kong; Fengshi Tian; Chi-Ying Tsui (AICAS, 2022)

Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification. - Xizi Chen; Rui Pan; Xiaomeng Wang; Fengshi Tian; Chi-Ying Tsui (DAC, 2023)

Model Predictive Control for Stand-alone Half-bridge Inverter. - Xizi Chen; Shin Kawai; Triet Nguyen-Van (GCCE, 2023)

Accelerating Large Kernel Convolutions with Nested Winograd Transformation. - Jingbo Jiang; Xizi Chen; Chi-Ying Tsui (VLSI-SoC (Selected Papers), 2023)

A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications. - Xiaomeng Wang; Fengshi Tian; Xizi Chen; Jiakun Zheng; Xuejiao Liu; Fengbin Tu; Jie Yang 033; Mohamad Sawan; Kwang-Ting Cheng; Chi-Ying Tsui (CoRR, 2023)

Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation. - Xizi Chen; Jingyang Zhu; Jingbo Jiang; Chi-Ying Tsui (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Benchmarking Edge Computing Systems for Autonomous Vehicles via CAV Motifs. - Yifan Wang 005; Qisong Shi; Xizi Chen; Xiaohui Peng 002 (Bench, 2024)

Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning. - Xiaoyu Gan; Xizi Chen; Jingyang Zhu; Xiaomeng Wang; Jingbo Jiang; Chi-Ying Tsui (CoRR, 2024)