Jia Chen

According to our database, Jia Chen authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

CompAir: Synergizing Complementary PIMs and In-Transit NoC Computation for Efficient LLM Acceleration.

Hongyi Li, Songchen Ma, Huanyu Qu, Weihao Zhang, Jia Chen, Junfeng Lin, Fengbin Tu, Rong Zhao

CoRR, September, 2025

Reconfigurable Digital RRAM Logic Enables In-Situ Pruning and Learning for Edge AI.

Songqi Wang, Yue Zhang, Jia Chen, Xinyuan Zhang, Yi Li, Ning Lin, Yangu He, Jichang Yang, Yingjie Yu, Yi Li, Zhongrui Wang, Xiaojuan Qi, Han Wang

CoRR, June, 2025

SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis.

Kunming Shao, Fengshi Tian, Xiaomeng Wang, Jiakun Zheng, Jia Chen, Jingyu He, Hui Wu, Jinbo Chen, Xihao Guan, Yi Deng, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting (Tim) Cheng, Chi-Ying Tsui

Proceedings of the Design, Automation & Test in Europe Conference, 2025

ReSMiPS: A ReRAM-based Sparse Mixed-precision Solver with Fast Matrix Reordering Algorithm.

Yuyang Fu, Jiancong Li, Jia Chen, Zhiwei Zhou, Houji Zhou, Wenlong Peng, Yi Li, Xiangshui Miao

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver.

Hegan Chen, Jichang Yang, Jia Chen, Songqi Wang, Shaocong Wang, Dingchen Wang, Xinyu Tian, Yifei Yu, Xi Chen, Yinan Lin, Yangu He, Xiaoshan Wu, Yi Li, Xinyuan Zhang, Ning Lin, Meng Xu, Yi Li, Xumeng Zhang, Zhongrui Wang, Han Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

CoRR, 2024

Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model.

Jichang Yang, Hegan Chen, Jia Chen, Songqi Wang, Shaocong Wang, Yifei Yu, Xi Chen, Bo Wang, Xinyuan Zhang, Binbin Cui, Yi Li, Ning Lin, Meng Xu, Yi Li, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang, Xumeng Zhang, Dashan Shang, Han Wang, Qi Liu, Kwang-Ting Cheng, Ming Liu

CoRR, 2024

LSMR: Synergy Randomness in Liquid State Machine and RRAM-based Analog-digital Accelerator.

Ning Lin, Songqi Wang, Xinyuan Zhang, Shaocong Wang, Yangu He, Woyu Zhang, Bo Wang, Jiankun Li, Mingzi Li, Binbin Cui, Yi Li, Jia Chen, Chunwei Xia, Wei Xuan, Xiaoming Chen, Dashan Shang, Zhongrui Wang

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023

An ADC-Less RRAM-Based Computing-in-Memory Macro With Binary CNN for Efficient Edge AI.

Yi Li, Jia Chen, Linfang Wang, Woyu Zhang, Zeyu Guo, Jun Wang, Yongkang Han, Zhi Li, Fei Wang, Chunmeng Dou, Xiaoxin Xu, Jianguo Yang, Zhongrui Wang, Dashan Shang

IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

Random resistive memory-based deep extreme point learning machine for unified visual processing.

Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden K. H. So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

CoRR, 2023

Heterogeneous Instruction Set Architecture for RRAM-enabled In-memory Computing.

Houji Zhou, Zhiwei Zhou, Shengguang Ren, Jia Chen, Yi Li, Xiangshui Miao

Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, 2023

Architecting Efficient Multi-modal AIoT Systems.

Xiaofeng Hou, Jiacheng Liu, Xuehan Tang, Chao Li, Jia Chen, Luhong Liang, Kwang-Ting Cheng, Minyi Guo

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

AutoDCIM: An Automated Digital CIM Compiler.

Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng

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

2021

Energy-Efficient Memristive Euclidean Distance Engine for Brain-Inspired Competitive Learning.

Houji Zhou, Jia Chen, Yinan Wang, Sen Liu, Yi Li, Qingjiang Li, Qi Liu, Zhongrui Wang, Yuhui He, Hui Xu, Xiangshui Miao

Adv. Intell. Syst., 2021

2020

Recent Progress on Memristive Convolutional Neural Networks for Edge Intelligence.

Yi-Fan Qin, Han Bao, Feng Wang, Jia Chen, Yi Li, Xiangshui Miao

Adv. Intell. Syst., 2020

Design for Enhancing the Performance of Memristive Convolution Neural Network.

Jia Chen, Wen-Qian Pan, Yi Li, Ting-Chang Chang, Xiangshui Miao

Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

Analysis of Memristive Quantized Convolutional Neural Network Accelerator with Device Nonideality.

Han Bao, Xiaodi Huang, Jia Chen, Yi Li, Xiangshui Miao

Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020