| 2026 | AAAI | TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding. | Canhui Tang, Zifan Han, Hongbo Sun, Sanping Zhou, Xuchong Zhang, Xin Wei, Ye Yuan, Huayu Zhang, Jinglin Xu, Hao Sun |
| 2026 | AAAI | MCMoE: Completing Missing Modalities with Mixture of Experts for Incomplete Multimodal Action Quality Assessment. | Huangbiao Xu, Huanqi Wu, Xiao Ke, Junyi Wu, Rui Xu, Jinglin Xu |
| 2025 | CVPR | DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding. | Geng Li, Jinglin Xu, Yunzhen Zhao, Yuxin Peng |
| 2025 | ICLR | MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval. | Yanzhe Chen, Zhiwen Yang, Jinglin Xu, Yuxin Peng |
| 2025 | ICLR | Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models. | Hulingxiao He, Geng Li, Zijun Geng, Jinglin Xu, Yuxin Peng |
| 2024 | CVPR | FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models. | Jinglin Xu, Yijie Guo, Yuxin Peng |
| 2024 | CVPR | FineParser: A Fine-Grained Spatio-Temporal Action Parser for Human-Centric Action Quality Assessment. | Jinglin Xu, Sibo Yin, Guohao Zhao, Zishuo Wang, Yuxin Peng |
| 2024 | CVPR | FineSports: A Multi-Person Hierarchical Sports Video Dataset for Fine-Grained Action Understanding. | Jinglin Xu, Guohao Zhao, Sibo Yin, Wenhao Zhou, Yuxin Peng |
| 2024 | IJCAI | FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning. | Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng |
| 2022 | CVPR | FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. | Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu |
| 2020 | AAAI | Deep Embedded Complementary and Interactive Information for Multi-View Classification. | Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han |
| 2020 | IJCAI | Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification. | Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han |
| 2019 | AAAI | Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. | Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo |
| 2019 | CVPR | Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. | Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo |
| 2017 | IJCAI | Multi-view Feature Learning with Discriminative Regularization. | Jinglin Xu, Junwei Han, Feiping Nie |
| 2017 | IJCAI | Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines. | Jinglin Xu, Feiping Nie, Junwei Han |
| 2016 | CVPR | Discriminatively Embedded K-Means for Multi-view Clustering. | Jinglin Xu, Junwei Han, Feiping Nie |
| 2016 | IJCAI | Robust and Sparse Fuzzy K-Means Clustering. | Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie |