A Fine-Grained Parallel Power Flow Method for Large Scale Grid Based on Lightweight GPU Threads. - Han Jiang 010; Deyang Chen; Yalou Li; Ran Zheng (ICPADS, 2016)

A Two-Layered Parallel Static Security Assessment for Large-Scale Grids Based on GPU. - Deyang Chen; Han Jiang 010; Yalou Li; Dechao Xu (IEEE Trans. Smart Grid, 2017)

Functional Brain Network Classification for Alzheimer's Disease Detection with Deep Features and Extreme Learning Machine. - Xin Bi; Xiangguo Zhao; Hong Huang; Deyang Chen; Yuliang Ma 001 (Cogn. Comput., 2020)

Algorithm/Hardware Co-Design Configurable SAR ADC with Low Power for Computing-in-Memory in 28nm CMOS. - Zhiwang Guo; Deyang Chen; Xiaoyong Xue (ASICON, 2021)

Combining Max Pooling and ReLU Activation Function in Stochastic Computing. - Lixing Li; Deyang Chen; Xiaoyong Xue; Xiaoyang Zeng (ASICON, 2021)

An Energy Efficient Computing-in-Memory Accelerator With 1T2R Cell and Fully Analog Processing for Edge AI Applications. - Keji Zhou; Chenyang Zhao 008; Jinbei Fang; Jingwen Jiang; Deyang Chen; Yujie Huang; Ming-e Jing; Jun Han 003; Haidong Tian; Xiankui Xiong; Qi Liu 010; Xiaoyong Xue; et al. (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

CMOS X-band pole-converging triple-cascode LNA with low-noise and wideband performance. - Cheng Cao; Yubing Li; Zhe Wang; Zemeng Huang; Tao Tan 004; Deyang Chen; Xiuping Li (IET Circuits Devices Syst., 2022)

A positive and unlabeled learning framework based on extreme learning machine for drug-drug interactions discovery. - Xin Bi; He Ma; Jianhua Li; Yuliang Ma 001; Deyang Chen (J. Ambient Intell. Humaniz. Comput., 2023)

A 1T2R1C ReRAM CIM Accelerator With Energy-Efficient Voltage Division and Capacitive Coupling for CNN Acceleration in AI Edge Applications. - Deyang Chen; Zhiwang Guo; Jinbei Fang; Chenyang Zhao 008; Jingwen Jiang; Keji Zhou; Haidong Tian; Xiankui Xiong; Xiaoyong Xue; Xiaoyang Zeng (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

An Emerging NVM CIM Accelerator With Shared-Path Transpose Read and Bit-Interleaving Weight Storage for Efficient On-Chip Training in Edge Devices. - Zhiwang Guo; Deyang Chen; Chenyang Zhao 008; Jinbei Fang; Jingwen Jiang; Yixuan Liu; Haidong Tian; Xiankui Xiong; Keji Zhou; Xiaoyong Xue; Qi Liu 010; Xiaoyang Zeng (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A 28-nm 36 Kb SRAM CIM Engine With 0.173 μm2 4T1T Cell and Self-Load-0 Weight Update for AI Inference and Training Applications. - Chenyang Zhao 008; Jinbei Fang; Xiaoli Huang; Deyang Chen; Zhiwang Guo; Jingwen Jiang; Jiawei Wang; Jianguo Yang; Jun Han 003; Peng Zhou 021; Xiaoyong Xue; Xiaoyang Zeng (IEEE J. Solid State Circuits, 2024)

EF-CIM: An Endurance Friendly CIM Accelerator Using Embedded NVM With Bit-Aware Wear Leveling for Efficient Light-Weight On-Chip Training in Edge Devices. - Zhiwang Guo; Jingwen Jiang; Deyang Chen; Jinbei Fang; Jianguo Yang; Jun Han 003; Xiaoyong Xue; Xiaoyang Zeng (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)