EEAI: An End-edge Architecture for Accelerating Deep Neural Network Inference. - Guozhi Liu; Fei Dai 002; Bi Huang; Zhenping Qiang; LeCheng Li; Shuai Wang (HPCC/DSS/SmartCity/DependSys, 2021)

Towards Accurate Latency Prediction of DNN Layers Inference on Diverse Computing Platforms. - Guozhi Liu; Fei Dai 002; Bi Huang; LeCheng Li; Shuai Wang; Zhenping Qiang (DASC/PiCom/CBDCom/CyberSciTech, 2022)

An Approach for Traffic Flow Prediction Combining 3D Convolution and Attention Mechanism. - LeCheng Li; Fei Dai 002; Bi Huang; Guozhi Liu; Shuai Wang; Yuxuan Zuo (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach. - Guozhi Liu; Fei Dai 002; Bi Huang; Zhenping Qiang; Shuai Wang; LeCheng Li (J. Cloud Comput., 2022)

STFormer: Spatio- Temporal Transformer Network for Traffic Flow Prediction. - LeCheng Li; Xinzhuo Chai; Fei Dai 002; Shuai Wang; Yueyu Dong; Bi Huang (CyberSciTech, 2024)

AST3DRNet: Attention-Based Spatio-Temporal 3D Residual Neural Networks for Traffic Congestion Prediction. - LeCheng Li; Fei Dai 002; Bi Huang; Shuai Wang; Wanchun Dou; Xiaodong Fu (Sensors, 2024)