Xizi Chen

According to our database, Xizi Chen authored at least 18 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Fixed Switching Frequency Model Predictive Control for Half-Bridge Inverter.

Xizi Chen, Shin Kawai, Triet Nguyen-Van

IEEE Access, 2026

Exploiting the Irregular Input Sparsity in Systolic Array-based DNN Accelerators via Local Soft Pooling.

Desheng Fu, Jingbo Jiang, Xiaomeng Wang, Jingyang Zhu, Xizi Chen, Chi-Ying Tsui

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

MSU3D: Multi-Scale 3D Convolutional Neural Network for Lung Nodule Segmentation.

Mengtong Wu, Xulei Zhao, Zonglin Yang, Lida Zhu, Xizi Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

MA-HybridBTS: Modality-Aware Multi-Scale Hybrid 3D Conv-Transformer for Brain Tumor Segmentation.

Jiaqi Wang, Shiqi Miao, Na Qin, Xizi Chen, Xiaolin Chen, Lida Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

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

Benchmarking Edge Computing Systems for Autonomous Vehicles via CAV Motifs.

Yifan Wang, Qisong Shi, Xizi Chen, Xiaohui Peng

Proceedings of the Benchmarking, Measuring, and Optimizing, 2024

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., February, 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, Mohamad Sawan, Kwang-Ting Cheng, Chi-Ying Tsui

CoRR, 2023

Accelerating Large Kernel Convolutions with Nested Winograd Transformation.

Jingbo Jiang, Xizi Chen, Chi-Ying Tsui

Proceedings of the VLSI-SoC 2023: Innovations for Trustworthy Artificial Intelligence, 2023

Model Predictive Control for Stand-alone Half-bridge Inverter.

Xizi Chen, Shin Kawai, Triet Nguyen-Van

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification.

Xizi Chen, Rui Pan, Xiaomeng Wang, Fengshi Tian, Chi-Ying Tsui

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

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, Patrick Kong, Fengshi Tian, Chi-Ying Tsui

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

A Reconfigurable Winograd CNN Accelerator with Nesting Decomposition Algorithm for Computing Convolution with Large Filters.

Jingbo Jiang, Xizi Chen, Chi-Ying Tsui

CoRR, 2021

2020

Tight Compression: Compressing CNN Model Tightly Through Unstructured Pruning and Simulated Annealing Based Permutation.

Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

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

CompRRAE: RRAM-based convolutional neural network accelerator with reduced computations through a runtime activation estimation.

Xizi Chen, Jingyang Zhu, Jingbo Jiang, Chi-Ying Tsui

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

SparseNN: An energy-efficient neural network accelerator exploiting input and output sparsity.

Jingyang Zhu, Jingbo Jiang, Xizi Chen, Chi-Ying Tsui

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

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

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018