Xizi Chen

According to our database, Xizi Chen authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

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

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 31st IFIP/IEEE International Conference on Very Large Scale Integration, 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