| 2026 | AAAI | Variation-Bounded Loss for Noise-Tolerant Learning. | Jialiang Wang, Xiong Zhou, Xianming Liu, Gangfeng Hu, Deming Zhai, Junjun Jiang, Haoliang Li |
| 2025 | AAAI | Spatial Annealing for Efficient Few-shot Neural Rendering. | Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu |
| 2025 | ICCV | Joint Asymmetric Loss for Learning with Noisy Labels. | Jialiang Wang, Xianming Liu, Xiong Zhou, Gangfeng Hu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2024 | ICLR | Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. | Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2024 | VCIP | Enhancing Privacy-Utility Tradeoff with Few-Round Strategy in Heterogeneous Federated Learning. | Qingbin Wei, Feilong Zhang, Yuanchao Bai, Deming Zhai, Junjun Jiang, Xianming Liu |
| 2022 | CVPR | Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. | Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2022 | ICLR | Learning Towards The Largest Margins. | Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji |
| 2022 | ICML | Prototype-Anchored Learning for Learning with Imperfect Annotations. | Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji |
| 2021 | ICCV | Learning with Noisy Labels via Sparse Regularization. | Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2020 | ICASSP | Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. | Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu |
| 2020 | ICASSP | ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. | Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu |
| 2020 | ICIP | Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. | Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang |
| 2018 | ICIP | Noise-Aware Super-Resolution of Depth Maps Via Graph-Based Plug-And-Play Framework. | Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao |
| 2018 | ISCAS | Adaptive Screen Content Image Enhancement Strategy using Layer-based Segmentation. | Zhaohui Che, Guangtao Zhai, Ke Gu, Patrick Le Callet, Xianming Liu, Deming Zhai, Xiao Gu |
| 2018 | MMSP | Color-Guided Depth Map Super-Resolution via Joint Graph Laplacian and Gradient Consistency Regularization. | Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao |
| 2015 | VCIP | Sparsity-based joint gaze correction and face beautification for conferencing video. | Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao |
| 2014 | ICIP | Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding. | Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao, Hiroshi Sankoh, Sei Naito |
| 2013 | DCC | Image Super-Resolution via Hierarchical and Collaborative Sparse Representation. | Xianming Liu, Deming Zhai, Debin Zhao, Wen Gao |
| 2013 | DCC | Progressive Image Restoration through Hybrid Graph Laplacian Regularization. | Deming Zhai, Xianming Liu, Debin Zhao, Hong Chang, Wen Gao |
| 2013 | ICIP | Instance-specific canonical correlation analysis for pose alignment. | Deming Zhai, Hong Chang, Xilin Chen, Wen Gao |
| 2013 | IJCAI | Parametric Local Multimodal Hashing for Cross-View Similarity Search. | Deming Zhai, Hong Chang, Yi Zhen, Xianming Liu, Xilin Chen, Wen Gao |
| 2012 | DCC | Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression. | Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Ruiqin Xiong, Wen Gao |
| 2012 | ICASSP | Web image interpolation via weighted total least squares regression. | Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Wen Gao |
| 2011 | ISCAS | Side information extrapolation with temporal and spatial consistency. | Xianming Liu, Deming Zhai, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao |
| 2010 | BMVC | Manifold Alignment via Corresponding Projections. | Deming Zhai, Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao |
| 2009 | BMVC | Semi-Supervised Discriminant Analysis via Spectral Transduction. | Deming Zhai, Hong Chang, Bo Li, Shiguang Shan, Xilin Chen, Wen Gao |