| 2025 | ICLR | HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation. | Hanxiang Ren, Li Sun, Xulong Wang, Pei Zhou, Zewen Wu, Siyan Dong, Difan Zou, Youyi Zheng, Yanchao Yang |
| 2025 | INDIN | Self-Supervised Anomaly Detection for Parkinson's Disease in Free-Living Environment. | Chuxiong Huang, Xulong Wang, Xiyang Peng, Peng Yue, Jun Qi, Yun Yang, Po Yang |
| 2025 | INDIN | Attention-Guided Time-Channel Masking for Self-Supervised Human Activity Recognition via Masked Sensor Data Reconstruction. | Long Yang, Po Yang, Xiyang Peng, Xulong Wang, Jun Qi |
| 2024 | ECCV | SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization. | Yiyang Chen, Siyan Dong, Xulong Wang, Lulu Cai, Youyi Zheng, Yanchao Yang |
| 2024 | ECCV | InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction. | Xulong Wang, Siyan Dong, Youyi Zheng, Yanchao Yang |
| 2023 | CIKM | Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. | Tong Liu, Xulong Wang, He Huang, Po Yang |
| 2023 | CVPR | VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. | Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas |
| 2023 | ICPADS | Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. | Ziheng Li, Yuting Zhao, Jun Qi, Xulong Wang, Yun Yang, Po Yang |
| 2023 | ICPADS | Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. | Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang |
| 2020 | ISPA | Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. | Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang |
| 2019 | INDIN | A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. | Xulong Wang, Jun Qi, Yun Yang, Po Yang |