2025

• Tianyu Xiang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Meijiang Gui, Hao Li, De-Xing Huang, Xiu-Ling Liu, and Zengguang Hou, “Learning motor cues in brain-muscle modulation”, IEEE Transactions on Cybernetics, vol. 55, no. 1, pp. 86-98, 2025. view paper

• Tianyu Xiang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Hongjun Yang, Fengzhen Qiu, Meijiang Gui, Hao Li, De-Xing Huang, Xiu-Ling Liu, and Zengguang Hou, “Learning EEG motor characteristics via temporal-spatial representations”, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 9, no. 1, pp. 933-945, 2025. view paper

• Tianyu Xiang, Xiaohu Zhou, Meijiang Gui, Xiaoliang Xie, Shiqi Liu,, Hao Li, Dexing Huang, Jiaxing Wang, Yongqiang Tang, Jiamou Liu, Xiu-Ling Liu, and Zengguang Hou, “”Upper limb motor sequence analysis: from isolated to sequential”, IEEE Transactions on Industrial Informatics, 2025.

• Tianyu Xiang⁺, Aoqun Jin⁺, Xiaohu Zhou, Meijiang Gui, Xiaoliang Xie, Shiqi Liu, Shuangyi Wang, Shengbin Duang, Sicheng Wang, Zheng Lei, Zengguang Hou, “VLA model-expert collaboration for bi-directional manipulation learning”, arXiv preprint arXiv:2503.04163. view paper, website

• Aoqun Jin⁺, Tianyu Xiang⁺, Xiaohu Zhou, Meijiang Gui, Xiaoliang Xie, Shiqi Liu, Shuangyi Wang, Yue Cao, Shengbin Duan, Fuchao Xie, Zengguang Hou, “Learning novel skills from language-generated demonstrations”, ICLR 2025 Workshop on Generative Models for Robot Learning, 2025. view paper, website

• Dexing Huang, Xiaohu Zhou, Meijiang Gui, Xiaoliang Xie, Shiqi Liu, Shuangyi Wang, Hao Li, Tianyu Xiang, Zengguang Hou, “CAS-GAN for contrast-free angiography synthesis”, in Proceedings of the 2025 IEEE Symposium Series on Computational Intelligence (SSCI), 2025. (Best Paper Finalists). view paper

2024

• Tianyu Xiang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Meijiang Gui, Hao Li, De-Xing Huang, and Zengguang Hou, “Cross-modal motor representation learning”, in proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN), 2024. (（IEEE CIS Travel Grant）) view paper

• Lingzhe Zhao⁺, Tianyu Xiang⁺, Zhuping Wang, “A self-supervised monocular odometry with visual-inertial and depth representations”, Journal of the Franklin Institute, 2024. View Paper

• Hao Li, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Meijiang Gui, Tianyu Xiang, Dexing Huang, Boxian Yao, Yonggen Ling, Zengguang Hou, “Model-based offline reinforcement learning for autonomous delivery of guidewire”, IEEE Transactions on Medical Robotics and Bionics, vol. 6, no. 1, pp. 340-350, 2024. View Paper

• Meijiang Gui, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Hao Li, Tianyu Xiang, Dexing Huang, Boxian Yao, Yonggen Ling, Zengguang Hou, “Highly interpretable representation for multi-dimensional tactile perception”, IEEE Transactions on Medical Robotics and Bionics, vol. 6, no. 1, pp. 340-350, 2024. View Paper

• Qinyi Zhang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Meijiang Gui, Hao Li, Tianyu Xiang, Dexing Huang, Zengguang Hou, “A learning-based acceleration framework for transient hemodynamic simulations”, Procedia Computer Science, vol. 250, pp. 136-142, 2024. view paper

2023

• Tianyu Xiang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Chen Wang, Meijiang Gui, Hao Li, and Zengguang Hou, “Quantitative movement analysis using scaled information implied in monocular videos,” IEEE Transactions on Medical Robotics and Bionics, vol. 5, no. 1, pp. 88-99, 2023. View Paper

• Tianyu Xiang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Hongjun Yang, Zhenqiu Feng, Meijiang Gui, Hao Li, Dexing Huang, and Zengguang Hou, “Learning shared semantic information from multimodal bio-signals for brain-muscle modulation analysis,” in Proceedings of the 31st ACM International Conference on Multimedia, pp. 6016–6024, 2023. View Paper

• Tianyu Xiang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Meijiang Gui, Hao Li, Zengguang Hou, “A DNN-based Learning Framework for Continuous Movements Segmentation,” in Proceedings of the 2023 International Conference on Neural Information Processing, pp. 399-410, 2023. View Paper

• Meijiang Gui, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Hao Li, Tianyu Xiang, Dexing Huang, Boxian Yao, Zengguang Hou, “Design and Construction of a Spherical Magnet Array for Multi-dimensional Tactile Perception”, in Proceedings of the 2023 IEEE International Conference on Real-time Computing and Robotics (RCAR), pp. 25-31, 2023. （Best Paper Award） View Paper

• Hao Li, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Meijiang Gui, Tianyu Xiang, Dexing Huang, Zengguang Hou, “Effective Skill Learning on Vascular Robotic Systems: Combining Offline and Online Reinforcement Learning”, in Proceedings of the 2023 International Conference on Neural Information Processing, pp. 28–40, 2023. View Paper

• Hao Li, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Meijiang Gui, Tianyu Xiang, Jinli Wang, and Zengguang Hou, “Discrete soft actor-critic with auto-encoder on vascular robotic system,” Robotica, vol. 41, no. 4, pp. 1115-1126, 2023. View Paper

• Wentao Wang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Dexing Huang, Hao Li, Tianyu Xiang, Zengguang Hou,”MEDIA-Net: Multi-scale Feature Extraction and DepthwIse Attention Network for Accurate Carotid Artery Segmentation,” Procedia Computer Science, Vol. 226, pp. 1-7, 2023. View Paper

2022

• Tianyu Xiang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Chen Wang, Meijiang Gui, Hao Li, and Zengguang Hou, “Single camera based gait analysis methods with scaled and image coordinate key-points,” in Proceedings of the 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR), pp. 25-32, 2022. （Best Paper Award） View Paper

• Tianyu Xiang, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Hongjun Yang, Zhenqiu Feng, Jianlong Hao, and Zengguang Hou, “A novel two-stream model for human motor characteristics learning”, in Proceedings of the 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 339-344, 2022. View Paper

• Meijiang Gui, Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Hao Li, Tianyu Xiang, Jinli Wang, and Zengguang Hou, “Design and experiments of a novel Halbach-cylinder-based magnetic skin: a preliminary study,” IEEE Transactions on Instrumentation and Measurement, vol. 71, p. 9502611, 2022. View Paper

• Xiaohu Zhou, Xiaoliang Xie, Shiqi Liu, Zhenqiu Feng, Meijiang Gui, Jinli Wang, Hao Li, Tianyu Xiang, Guibin Bian, and Zengguang Hou, “Surgical skill assessment based on dynamic warping manipulations,” *IEEE Transactions on Medical Robotics and Bionics, vol. 4, no. 1, pp. 50-61, 2022. View Paper

2021

• Chenzhao Feng⁺, Tianyu Xiang⁺, Zixuan Yi⁺, Lingzhe Zhao, Sisi He, Kunming Tian, “An Ensemble Model for Tumor Type Identification and Cancer Origins Classification,” in Proceedings of the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1660-1665, 2021. View Paper

• Chenzhao Feng⁺, Tianyu Xiang⁺, Zixuan Yi⁺, Xinyao Meng, Xufeng Chu, Guiyang Huang, Xiang Zhao, Feng Chen, Bo Xiong, Jiexiong Feng, “A Deep-Learning Model With the Attention Mechanism Could Rigorously Predict Survivals in Neuroblastoma,” Frontiers in Oncology, p.11:653863, 2021. View Paper

2020

• Tianyu Xiang⁺, Lingzhe Zhao⁺, Hao Zhang, Zhang Wang, “MonoER - An Edge Refined Self-Supervised Monocular Depth Estimation Method,” 2020 Chinese Automation Congress (CAC), pp. 1074-1079, 2020. View Paper