A cloud-based deep learning model in heterogeneous data integration system for lung cancer detection in medical industry 4.0. - Chang Gu; Chenyang Dai; Xin Shi; Zhiqiang Wu; Chang Chen (J. Ind. Inf. Integr., 2022)

Causality Extraction Cascade Model Based on Dual Labeling. - Fengxiao Yan; Bo Shen 004; Chenyang Dai (J. Adv. Comput. Intell. Intell. Informatics, 2023)

A Joint Model for Target-Oriented Opinion Words Extraction and Sentiment Classification. - Chenyang Dai; Bo Shen 004; Fengxiao Yan (J. Inf. Knowl. Manag., 2023)

A NoC-Based Spatial DNN Inference Accelerator With Memory-Friendly Dataflow. - Lingxiao Zhu; Wenjie Fan 004; Chenyang Dai; Shize Zhou; Yongqi Xue; Zhonghai Lu; Li Li 003; Yuxiang Fu (IEEE Des. Test, 2023)

HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators. - Siyue Li; Shize Zhou; Yongqi Xue; Wenjie Fan 004; Tong Cheng; Jinlun Ji; Chenyang Dai; Wenqing Song; Qinyu Chen; Chang Gao 002; Li Li 003; Yuxiang Fu (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

FPGA-Par: An Efficient Algorithm for Elegant Partitioning in Multi-FPGA Systems. - Hengyue Gao; Chenyang Dai; Jinlun Ji; Bin Yan; Qiyue Zhao; Jiangtao Yuan; Feng Li; Li Li; Yuxiang Fu (ISCAS, 2025)

An Energy Efficient Residual Spiking Neural Network Accelerator With Ternary Spikes. - Congyi Sun; Wenqing Song; Qinyu Chen; Chenyang Dai; Yuxiang Fu; Li Li 003 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)