| 2026 | AAAI | COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series. | Xinxin Song, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo |
| 2026 | ACL | MemPO: Self-Memory Policy Optimization for Long-Horizon Agents. | Ruoran Li, Xinghua Zhang, Haiyang Yu, Shitong Duan, Xiang Li, Wenxin Xiang, Chonghua Liao, Xudong Guo, Yongbin Li, Jinli Suo |
| 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 | AAAI | FIND: A Framework for Discovering Formulas in Data. | Tingxiong Xiao, Yuxiao Cheng, Jinli Suo |
| 2025 | ICLR | X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention. | Xiaochen Zhao, Hongyi Xu, Guoxian Song, You Xie, Chenxu Zhang, Xiu Li, Linjie Luo, Jinli Suo, Yebin Liu |
| 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 | CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series. | Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai |
| 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 |
| 2024 | ICLR | CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery. | Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He |
| 2024 | SIGGRAPH | InvertAvatar: Incremental GAN Inversion for Generalized Head Avatars. | Xiaochen Zhao, Jingxiang Sun, Lizhen Wang, Jinli Suo, Yebin Liu |
| 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 | ICASSP | Learning Hybrid Representations of Semantics and Distortion for Blind Image Quality Assessment. | Xiaoqi Wang, Jian Xiong, Bo Li, Jinli Suo, Hao Gao |
| 2023 | ICASSP | ψ-Net: Point Structural Information Network for No-Reference Point Cloud Quality Assessment. | Jian Xiong, Sifan Wu, Wang Luo, Jinli Suo, Hao Gao |
| 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 |
| 2021 | ICCV | Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution. | Xiu Li, Jinli Suo, Weihang Zhang, Xin Yuan, Qionghai Dai |