Li Guoliang, Wang Shuai, Li Jie, Wang Rui, Liu Fan, Peng Xiaohui, Han Tony Xiao, Xu Chengzhong “Integrated Sensing and Communication From Learning Perspective: An SDP3 Approach”, IEEE Internet of Things Journal, Volume: 11, 2024
Sun Li, Zhao Juanjuan, Zhang Jun, Zhang Fan, Ye Kejiang, Xu Chengzhong “Activity-based individual travel regularity exploring with entropy-space K-means clustering using smart card data”, Physica A: Statistical Mechanics and its Applications, Volume: 636, 2024
Li Xingjian, Hu Di, Li Xuhong, Xiong Haoyi, Xu Chengzhong, Dou Dejing “Towards accurate knowledge transfer via target-awareness representation disentanglement”, Machine Learning, Volume: 113, 2024
Qi Di, Hu Jilin, Shen Jianbing “Few-Shot Object Detection With Self-Supervising and Cooperative Classifier”, IEEE Transactions on Neural Networks and Learning Systems, Volume: 35, 2024
Gao Tian, Xu Cheng-Zhong, Zhang Le, Kong Hui “GSB: Group superposition binarization for vision transformer with limited training samples”, Neural Networks, Volume: 172, 2024
Li Zhenning, Wang Chengyue, Liao Haicheng, Li Guofa, Xu Chengzhong “Efficient and robust estimation of single-vehicle crash severity: A mixed logit model with heterogeneity in means and variances”, Accident Analysis and Prevention, Volume: 196, 2024
Bai Haoyu, Xu Minxian, Ye Kejiang, Buyya Rajkumar, Xu Chengzhong “DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters”, IEEE Transactions on Services Computing, Volume: , 2024
Liao Haicheng, Li Yongkang, Li Zhenning, Wang Chengyue, Cui Zhiyong, Li Shengbo Eben, Xu Chengzhong “A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving”, IEEE Transactions on Intelligent Vehicles, Volume: 9, 2024