The driver and the engineer: Reinforcement learning and robust control. - Natalie Bernat; Jiexin Chen; Nikolai Matni; John Doyle 001 (ACC, 2020)

Towards efficient allocation of graph convolutional networks on hybrid computation-in-memory architecture. - Jiaxian Chen; Guanquan Lin; Jiexin Chen; Yi Wang 003 (Sci. China Inf. Sci., 2021)

GCIM: Toward Efficient Processing of Graph Convolutional Networks in 3D-Stacked Memory. - Jiaxian Chen; Yiquan Lin; Kaoyi Sun; Jiexin Chen; Chenlin Ma; Rui Mao 001; Yi Wang 003 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Lightweight network based on Fourth order Runge-Kutta scheme and Hybrid Attention Module for pig face recognition. - Jianjun Guo; Yiyou Kong; Lijun Lin; Longqin Xu; Dachun Feng; Liang Cao; Jiexin Chen; Junwei Ye; Shuqing Ye; Zhaozhong Yao; Yue Liu; Tonglai Liu; et al. (Comput. Electron. Agric., 2024)

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise. - Qimin Yang; Rongsheng Wang; Jiexin Chen; Runqi Su; Tao Tan (CoRR, 2024)

Modeling topic evolution in public opinion events: an unsupervised spatio-temporal graph attention approach. - Xi Wang; Mingming Kong; Jiexin Chen; Xianjun Wang; Zheng Pei 001 (Appl. Intell., 2024)