| Zhao Mingle, Wang Jiahao, Gao Tianxiao, Xu Chengzhong, Kong Hui | “FMCW-LIO: A Doppler LiDAR-Inertial Odometry”, IEEE Robotics and Automation Letters, Volume: 9, 2024 |
| Wang Yukun, Gu Shuo, Liu Yinbo, Kong Hui | “Semi-supervised vanishing point detection with contrastive learning”, Pattern Recognition, Volume: 153, 2024 |
| Wei Xinliang, Ye Kejiang, Shi Xinghua, Xu Cheng-Zhong, Wang Yu | “Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds”, IEEE Transactions on Parallel and Distributed Systems, Volume: 35, 2024 |
| Lan Zhengxing, Ren Yilong, Yu Haiyang, Liu Lingshan, Li Zhenning, Wang Yinhai, Cui Zhiyong | “Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning”, Transportation Research Part C: Emerging Technologies, Volume: 165, 2024 |
| Li He, Han Ruihua, Zhao Zirui, Xu Wei, Hao Qi, Wang Shuai, Xu Chengzhong | “Seamless Virtual Reality With Integrated Synchronizer and Synthesizer for Autonomous Driving”, IEEE Robotics and Automation Letters, Volume: 9, 2024 |
| Liu Hao, Ye Mang, Wang Yan, Zhao Sanyuan, Li Ping, Shen Jianbing | “A New Framework of Collaborative Learning for Adaptive Metric Distillation”, IEEE Transactions on Neural Networks and Learning Systems, Volume: 35, 2024 |
| Yang Yongliang, Pan Yongping, Xu Cheng-Zhong, Wunsch Donald C. | “Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay”, IEEE Transactions on Neural Networks and Learning Systems, Volume: 35, 2024 |
| Huang Liwei, Fu Mingsheng, Rao Ananya, Irissappane Athirai A., Zhang Jie, Xu Chengzhong | “A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning”, IEEE Transactions on Neural Networks and Learning Systems, Volume: 35, 2024 |