| 2026 | AAAI | Collaboratively "Copy & Paste" 2D-3D Features for Complex Video-to-Video Motion Editing. | Jia-Xing Zhong, Shijie Zhao, Junlin Li, Li Zhang |
| 2025 | ICCV | Generative AI for Cel-Animation: A Survey. | Yunlong Tang, Junjia Guo, Pinxin Liu, Zhiyuan Wang, Hang Hua, Jia-Xing Zhong, Yunzhong Xiao, Chao Huang, Luchuan Song, Susan Liang, Yizhi Song, Liu He, Jing Bi, Mingqian Feng, Xinyang Li, Zeliang Zhang, Chenliang Xu |
| 2024 | ICRA | Learning to Catch Reactive Objects with a Behavior Predictor. | Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham |
| 2024 | IROS | Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. | Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay |
| 2024 | WACV | Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection. | Qian Xie, Ta Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni |
| 2022 | CVPR | No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. | Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham |
| 2020 | ICASSP | ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. | Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li |
| 2019 | CVPR | Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. | Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li |
| 2019 | IJCAI | ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. | Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li |
| 2019 | MICCAI | Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images. | Junyan Wu, Jia-Xing Zhong, Eric Z. Chen, Jingwei Zhang, Jay J. Ye, Limin Yu |
| 2018 | ICIP | An Active Action Proposal Method Based on Reinforcement Learning. | Tao Zhang, Nannan Li, Jingjia Huang, Jia-Xing Zhong, Ge Li |
| 2018 | MMM | A New Accurate Image Denoising Method Based on Sparse Coding Coefficients. | Kai Lin, Ge Li, Yiwei Zhang, Jia-Xing Zhong |
| 2017 | ICONIP | Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way. | Jia-Xing Zhong, Ge Li, Nannan Li |