Robust Multi-Feature Learning for Skeleton-Based Action Recognition. - Yingfu Wang; Zheyuan Xu; Li Li 047; Jian Yao 002 (IEEE Access, 2019)

Single Image Super-Resolution Using Depth Map as Constraint. - Haitao Shi; Jiaqin Jiang; Jian Yao 002; Zheyuan Xu (ICIP, 2020)

Deformable Spatial Propagation Networks For Depth Completion. - Zheyuan Xu; Hongche Yin; Jian Yao 002 (ICIP, 2020)

Adaptive Feature Selection With Reinforcement Learning for Skeleton-Based Action Recognition. - Zheyuan Xu; Yingfu Wang; Jiaqin Jiang; Jian Yao 002; Liang Li (IEEE Access, 2020)

Deformable spatial propagation network for depth completion. - Zheyuan Xu; Hongche Yin; Jian Yao 002 (CoRR, 2020)

Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. - Zheyuan Xu; Fengtao Nan; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Po Yang 001 (ICPADS, 2023)

Medical Signals Augmentation for Parkinson's Disease Diagnosis in Low-Resource Settings Across Time, Activity and Patients. - Xiyang Peng; Zheyuan Xu; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment. - Zheyuan Xu; Xulong Wang 001; Menghui Zhou; Jun Qi 001; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Key Safety Design Overview in AI-driven Autonomous Vehicles. - Vikas Vyas; Zheyuan Xu (CoRR, 2024)

Reles-OTA: A Reinforcement-Learning Enhanced Scalable Over-the-Air Update Approach for CAVs. - Arpan Bhattacharjee; Zheyuan Xu; Vikas Vyas; Weisong Shi (MOST, 2025)

Garbage Classification from Visual Footprints: Using Transfer Learning Strategy. - Zheyuan Xu; Nasim Hajari (VISIGRAPP (3): VISAPP, 2025)

Advanced Object Detection and Pose Estimation with Hybrid Task Cascade and High-Resolution Networks. - Yuhui Jin; Yaqiong Zhang; Zheyuan Xu; Wenqing Zhang; Jingyu Xu 003 (CoRR, 2025)

Investigating the Effectiveness of a Socratic Chain-of-Thoughts Reasoning Method for Task Planning in Robotics, A Case Study. - Veronica Bot; Zheyuan Xu (CoRR, 2025)

Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment. - Xiaowei Bi; Zheyuan Xu (CoRR, 2025)