Boosting Few-Shot Semantic Segmentation Via Segment Anything Model. - Chen-Bin Feng; Qi Lai; Kangdao Liu; Houcheng Su; Chi-Man Vong (CoRR, 2024)

Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification. - Kangdao Liu; Tianhao Sun; Hao Zeng 005; Yongshan Zhang; Chi-Man Pun; Chi-Man Vong (CoRR, 2024)

Robust Discriminative t-Linear Subspace Learning for Image Feature Extraction. - Kangdao Liu; Xiaolin Xiao; Jinkun You; Yicong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2024)

Unpaired to paired data synthesis and generative ensemble network for smudged image restoration. - Chen-Bin Feng; Kangdao Liu; Jian Sun 010; Qi Lai; Jiping Jin; Houcheng Su; Guangtai Wang; Chi-Man Vong (Appl. Soft Comput., 2025)

Does confidence calibration improve conformal prediction? - Huajun Xi; Jianguo Huang; Kangdao Liu; Lei Feng 006; Hongxin Wei (Trans. Mach. Learn. Res., 2025)

Robust Online Conformal Prediction under Uniform Label Noise. - Huajun Xi; Kangdao Liu; Hao Zeng 005; Wenguang Sun; Hongxin Wei (CoRR, 2025)

Parametric Scaling Law of Tuning Bias in Conformal Prediction. - Hao Zeng 005; Kangdao Liu; Bingyi Jing; Hongxin Wei (CoRR, 2025)

3D Hand Mesh-Guided AI-Generated Malformed Hand Refinement with Hand Pose Transformation via Diffusion Model. - Chen-Bin Feng; Kangdao Liu; Jian Sun 010; Jiping Jin; Yiguo Jiang; Chi-Man Vong (CoRR, 2025)

Learning few-shot semantic segmentation with error-filtered segment anything model. - Chen-Bin Feng; Qi Lai; Kangdao Liu; Houcheng Su; Hao Chen; Kaixi Luo; Chi-Man Vong (Vis. Comput., 2025)