Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning. - Jiangdong Liao; Teng Liu; Xiaolin Tang; Xingyu Mu; Bing Huang; Dongpu Cao (IEEE Access, 2020)

Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study. - Teng Liu; Xingyu Mu; Xiaolin Tang; Bing Huang; Hong Wang 014; Dongpu Cao (CoRR, 2020)

A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles. - Teng Liu; Bing Huang; Xingyu Mu; Fuqing Zhao; Xiaolin Tang; Dongpu Cao (CoRR, 2020)

Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles. - Teng Liu; Xingyu Mu; Bing Huang; Yi Xie; Dongpu Cao (CoRR, 2020)

Constructing Adaptive Multi-Scale Feature via Transformer-Aware Patch for Occluded Person Re-Identification. - Zhi Liu; Xingyu Mu; Shidu Dong; Yunhua Lu; Mingzi Jiang (Symmetry, 2022)

Driving Tasks Transfer Using Deep Reinforcement Learning for Decision-Making of Autonomous Vehicles in Unsignalized Intersection. - Hong Shu; Teng Liu; Xingyu Mu; Dongpu Cao (IEEE Trans. Veh. Technol., 2022)

Analyzing Children's Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design. - Qianxi Zhang; Gang Wang; Yat Ming Loo; Xinkai Wang; Xiumin Xia; Xingyu Mu (ICCSE (2), 2023)

Learning transformer-based attention region with multiple scales for occluded person re-identification. - Zhi Liu; Xingyu Mu; Yunhua Lu; Tingting Zhang; Yingli Tian (Comput. Vis. Image Underst., 2023)

Dual-branch adaptive attention transformer for occluded person re-identification. - Yunhua Lu; Mingzi Jiang; Zhi Liu; Xingyu Mu (Image Vis. Comput., 2023)

Wireless sensor health state analysis under perturbation. - Shukun Jin; Xingyu Mu (ICBASE, 2024)

Enhanced Credit Score Prediction Using Ensemble Deep Learning Model. - Qianwen Xing; Chang Yu 002; Sining Huang; Qi Zheng; Xingyu Mu; Mengying Sun (CoRR, 2024)

An enhanced framework for small object detection with middle-order interaction and adaptive cross-scale aggregation. - Zihan Guo; Xingyu Mu; Chao Chang 001; Weijie Cheng; Xincheng Tian (Eng. Appl. Artif. Intell., 2025)

3D Vision robot online packing platform for deep reinforcement learning. - Xingyu Mu; Quanmin Kan; Yong Jiang; Chao Chang 001; Xincheng Tian; Lelai Zhou; Yongguo Zhao (Robotics Comput. Integr. Manuf., 2025)

IAMF-YOLO: Metal Surface Defect Detection Based on Improved YOLOv8. - Chang Chao 001; Xingyu Mu; Zihan Guo; Yujie Sun; Xincheng Tian; Fang Yong (IEEE Trans. Instrum. Meas., 2025)

An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via 18F-FDG PET/CT: a multicenter study. - Xinyu Zhu; Denglu Lu; Yang Wu; Yanqi Lu; Liang He; Yanyun Deng; Xingyu Mu; Wei Fu (BMC Medical Informatics Decis. Mak., 2025)