| 2026 | AAAI | MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision. | Zhonghao Yan, Muxi Diao, Yuxuan Yang, Ruoyan Jing, Jiayuan Xu, Kaizhou Zhang, Lele Yang, Yanxi Liu, Kongming Liang, Zhanyu Ma |
| 2025 | CVPR | ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer. | Jiayi Gao, Zijin Yin, Changcheng Hua, Yuxin Peng, Kongming Liang, Zhanyu Ma, Jun Guo, Yang Liu |
| 2025 | ICCV | FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models. | Yuxuan Wang, Tianwei Cao, Huayu Zhang, Zhongjiang He, Kongming Liang, Zhanyu Ma |
| 2025 | ICDAR | SelectVision: Adaptive Vision Resolution Selection for Visual Document Understanding. | Zhongjiang He, Ye Yuan, An Zhao, Han Fang, Hao Sun, Kongming Liang, Zhanyu Ma |
| 2025 | ICIP | A Debiasing Framework For Attribute Binding In Diffusion-Based Text-To-Image Generation. | Yueheng Luo, Tianwei Cao, Rui Wang, Ling Jin, Weidong Liu, Donghui Gao, Kongming Liang, Zhanyu Ma |
| 2024 | AAAI | Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. | Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo |
| 2024 | ACCV | Class-Aware Contrastive Learning for Fine-Grained Skeleton-Based Action Recognition. | Xinyu Bian, Dongliang Chang, Yuqi Yang, Zhongjiang He, Kongming Liang, Zhanyu Ma |
| 2024 | ACCV | Hierarchical Prompting for Diffusion Classifiers. | Wenxin Ning, Dongliang Chang, Yujun Tong, Zhongjiang He, Kongming Liang, Zhanyu Ma |
| 2024 | CVPR | Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. | Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo |
| 2024 | ICIP | SLNL: Soft Label Regularization For Semi-Supervised Facial Expression Recognition With Negative Label Learning. | Youwei Zhang, Jing Jiang, Yuying Zhao, Kongming Liang |
| 2023 | CVPR | On-the-Fly Category Discovery. | Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2023 | ICASSP | Semantic Centralized Contrastive Learning for Unsupervised Hashing. | Fengming Liang, Changlin Fan, Bo Xiao, Kongming Liang |
| 2023 | ICASSP | Super-Resolution Information Enhancement for Crowd Counting. | Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin |
| 2023 | ICASSP | Multi-Head Uncertainty Inference for Adversarial Attack Detection. | Yuqi Yang, Songyun Yang, Jiyang Xie, Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang |
| 2023 | ICASSP | Semantic Memory Guided Image Representation for Polyp Segmentation. | Zijin Yin, Runpu Wei, Kongming Liang, Yiyang Lin, Wei Liu, Zhanyu Ma, Min Min, Jun Guo |
| 2023 | ICIP | Self-Enhanced Training Framework for Referring Expression Grounding. | Yitao Chen, Ruoyi Du, Kongming Liang, Zhanyu Ma |
| 2023 | ICIP | Attribute Learning with Knowledge Enhanced Partial Annotations. | Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo |
| 2023 | MICCAI | Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images. | Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu |
| 2022 | ECCV | Learning Invariant Visual Representations for Compositional Zero-Shot Learning. | Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo |
| 2022 | MMSP | Complex Scenario-Oriented Fine-Grained Visual Classification Platform. | Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song, Zhanyu Ma |
| 2022 | MMSP | Multi-modal Human-machine Conversation System for Real Physical World. | Yitao Chen, Shibo Nie, Mandan Guan, Jie Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma |
| 2021 | MICCAI | Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images. | Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu |
| 2021 | MICCAI | Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. | Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye |
| 2020 | MICCAI | Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. | Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang |
| 2018 | AAAI | Visual Relationship Detection With Deep Structural Ranking. | Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen |
| 2017 | IJCAI | Incomplete Attribute Learning with auxiliary labels. | Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen |
| 2015 | ICCV | A Unified Multiplicative Framework for Attribute Learning. | Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen |
| 2014 | ACCV | Representation Learning with Smooth Autoencoder. | Kongming Liang, Hong Chang, Zhen Cui, Shiguang Shan, Xilin Chen |