| 2025 | AAAI | A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging. | Ruoran Li, Runzhao Yang, Wenxin Xiang, Yuxiao Cheng, Tingxiong Xiao, Lu Yang, Jinli Suo |
| 2025 | ICML | DVI: A Derivative-based Vision Network for INR. | Runzhao Yang, Xiaolong Wu, Zhihong Zhang, Fabian Zhang, Tingxiong Xiao, Zongren Li, Kunlun He, Jinli Suo |
| 2024 | AAAI | SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations. | Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo |
| 2024 | CVPR | A Physics-Informed Low-Rank Deep Neural Network for Blind and Universal Lens Aberration Correction. | Jin Gong, Runzhao Yang, Weihang Zhang, Jinli Suo, Qionghai Dai |
| 2023 | AAAI | SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data. | Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai |
| 2023 | CVPR | TINC: Tree-Structured Implicit Neural Compression. | Runzhao Yang |
| 2023 | ICLR | CUTS: Neural Causal Discovery from Irregular Time-Series Data. | Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai |