| 2025 | AAAI | Auto-Regressive Moving Diffusion Models for Time Series Forecasting. | Jiaxin Gao, Qinglong Cao, Yuntian Chen |
| 2025 | ACL | IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences. | Fengnan Li, Elliot D. Hill, Jiang Shu, Jiaxin Gao, Matthew M. Engelhard |
| 2024 | AAAI | Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement. | Ziyu Yue, Jiaxin Gao, Zhixun Su |
| 2024 | CVPR | Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation. | Xin Fan, Xiaolin Wang, Jiaxin Gao, Jia Wang, Zhongxuan Luo, Risheng Liu |
| 2024 | IJCAI | Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation. | Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu |
| 2023 | ICIG | Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark. | Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Nenggan Zheng, Risheng Liu |
| 2022 | SEKE | Self-Adaptive Task Allocation for Decentralized Deep Learning in Heterogeneous Environments. | Yongyue Chao, Mingxue Liao, Jiaxin Gao, Guangyao Li |