Feature selection via maximizing inter-class independence and minimizing intra-class redundancy for hierarchical classification. - Jie Shi 014; Zhengyu Li 003; Hong Zhao 002 (Inf. Sci., 2023)

FS-MGKC: Feature selection based on structural manifold learning with multi-granularity knowledge coordination. - Jie Shi 014; Hong Zhao 002 (Inf. Sci., 2023)

ConformalRefiner: Retinal Vessel Topology Reconstruction via Conformal Risk Control. - Xiaolong Pang; Zhipeng Wei; Jie Shi 014; Xiaodong Yue 002 (IJCRS (3), 2024)

ECS-SC: Long-tailed classification via data augmentation based on easily confused sample selection and combination. - Wenwei He; Junyan Xu; Jie Shi 014; Hong Zhao 002 (Expert Syst. Appl., 2024)

DMTFS-FO: Dynamic multi-task feature selection based on flexible loss and orthogonal constraint. - Yang Zhang 167; Jie Shi 014; Hong Zhao 002 (Expert Syst. Appl., 2024)

Lesion-Aware Prostate DWI Synthesis Using Latent Diffusion. - Haibo Wang; Xiaodong Yue 002; Yufei Chen 002; Zhipeng Wei; Jie Shi 014; Zhenqian Cao (BIBM, 2025)

Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval. - Fengyang Mao; Xiaodong Yue 002; Yufei Chen 002; Jiaqing Ma; Zheran Zhang; Jie Shi 014 (CIKM, 2025)

ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning. - Panpan Fan; Xiaodong Yue 002; Yufei Chen 002; Zhipeng Wei; Jie Shi 014; Zhikang Xu (CLIP@MICCAI, 2025)

Breaking Distributional Assumptions in Multi-view Learning: Test-Time Adaptive Fusion via Conformalized Evidence Representation. - Shijie Ding; Xiaodong Yue 002; Yufei Chen 002; Jie Shi 014; Dongqi Xia (MMAsia, 2025)

Dual-View Gradient Probes: Disentangling Uncertainty for Deep Active Learning. - Dongqi Xia; Xiaodong Yue 002; Yufei Chen 002; Jie Shi 014; Shijie Ding (MMAsia, 2025)

Uncertainty-Aware Modeling of Q-Values for Efficient Exploration in Deep Reinforcement Learning. - Jianyi Wu; Xiaodong Yue 002; Jie Shi 014 (SoMeT, 2025)

PHFS: Progressive Hierarchical Feature Selection Based on Adaptive Sample Weighting. - Hong Zhao 002; Jie Shi 014; Yang Zhang 167 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MU-OLTC: meta uncertainty calibration for open-set long-tailed classification. - Zihao Li; Xiaodong Yue 002; Jiye Liang; Jie Shi 014; Zhipeng Wei (Int. J. Mach. Learn. Cybern., 2025)

Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict. - Jie Shi 014; Xiaodong Yue 002; Wei Liu 303; Yufei Chen 002; Feifan Dong (AAAI, 2026)

Enhancing Trusted Multi-View Classification via Adaptive Regularization Guided by View-Specific Biases. - Zhiyuan Liu; Xiaodong Yue 002; Yufei Chen 002; Shijie Ding; Jie Shi 014 (WWW, 2026)

MGK-RAG: Multi-Granularity Knowledge Guided Retrieval-Augmented Generation for Radiology Report. - Jiaqing Ma; Xiaodong Yue 002; Yufei Chen 002; Jie Shi 014; Zhipeng Wei; Zeyu Jia (WWW, 2026)

Active Retrieval-Augmented Generation with Conflict-Fused Uncertainty Quantification. - Tao Tang; Xiaodong Yue 002; Yufei Chen 002; Jie Shi 014; Shijie Ding (WWW, 2026)

Submodular neighborhood covering reduction for tri-partition classification. - Xiaodong Yue 002; Renxia Wan; Jie Shi 014; Zihao Li; Zhipeng Wei (Int. J. Approx. Reason., 2026)

DAFS: A distribution-aware hierarchical feature selection method for long-tailed classification. - Yang Zhang 167; Jie Shi 014; Yanfang Liu; Hong Zhao 002 (Pattern Recognit., 2026)