Jie Shi

According to our database, Jie Shi authored at least 19 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DAFS: A distribution-aware hierarchical feature selection method for long-tailed classification.

Yang Zhang, Jie Shi, Yanfang Liu, Hong Zhao

Pattern Recognit., 2026

Submodular neighborhood covering reduction for tri-partition classification.

Xiaodong Yue, Renxia Wan, Jie Shi, Zihao Li, Zhipeng Wei

Int. J. Approx. Reason., 2026

Active Retrieval-Augmented Generation with Conflict-Fused Uncertainty Quantification.

Tao Tang, Xiaodong Yue, Yufei Chen, Jie Shi, Shijie Ding

Proceedings of the ACM Web Conference 2026, 2026

MGK-RAG: Multi-Granularity Knowledge Guided Retrieval-Augmented Generation for Radiology Report.

Jiaqing Ma, Xiaodong Yue, Yufei Chen, Jie Shi, Zhipeng Wei, Zeyu Jia

Proceedings of the ACM Web Conference 2026, 2026

Enhancing Trusted Multi-View Classification via Adaptive Regularization Guided by View-Specific Biases.

Zhiyuan Liu, Xiaodong Yue, Yufei Chen, Shijie Ding, Jie Shi

Proceedings of the ACM Web Conference 2026, 2026

Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict.

Jie Shi, Xiaodong Yue, Wei Liu, Yufei Chen, Feifan Dong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MU-OLTC: meta uncertainty calibration for open-set long-tailed classification.

Zihao Li, Xiaodong Yue, Jiye Liang, Jie Shi, Zhipeng Wei

Int. J. Mach. Learn. Cybern., September, 2025

PHFS: Progressive Hierarchical Feature Selection Based on Adaptive Sample Weighting.

Hong Zhao, Jie Shi, Yang Zhang

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Uncertainty-Aware Modeling of Q-Values for Efficient Exploration in Deep Reinforcement Learning.

Jianyi Wu, Xiaodong Yue, Jie Shi

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2025

Dual-View Gradient Probes: Disentangling Uncertainty for Deep Active Learning.

Dongqi Xia, Xiaodong Yue, Yufei Chen, Jie Shi, Shijie Ding

Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

Breaking Distributional Assumptions in Multi-view Learning: Test-Time Adaptive Fusion via Conformalized Evidence Representation.

Shijie Ding, Xiaodong Yue, Yufei Chen, Jie Shi, Dongqi Xia

Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning.

Panpan Fan, Xiaodong Yue, Yufei Chen, Zhipeng Wei, Jie Shi, Zhikang Xu

Proceedings of the Clinical Image-Based Procedures - 14th International Workshop, 2025

Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval.

Fengyang Mao, Xiaodong Yue, Yufei Chen, Jiaqing Ma, Zheran Zhang, Jie Shi

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Lesion-Aware Prostate DWI Synthesis Using Latent Diffusion.

Haibo Wang, Xiaodong Yue, Yufei Chen, Zhipeng Wei, Jie Shi, Zhenqian Cao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

DMTFS-FO: Dynamic multi-task feature selection based on flexible loss and orthogonal constraint.

Yang Zhang, Jie Shi, Hong Zhao

Expert Syst. Appl., 2024

ECS-SC: Long-tailed classification via data augmentation based on easily confused sample selection and combination.

Wenwei He, Junyan Xu, Jie Shi, Hong Zhao

Expert Syst. Appl., 2024

ConformalRefiner: Retinal Vessel Topology Reconstruction via Conformal Risk Control.

Xiaolong Pang, Zhipeng Wei, Jie Shi, Xiaodong Yue

Proceedings of the Rough Sets - International Joint Conference, 2024

2023

FS-MGKC: Feature selection based on structural manifold learning with multi-granularity knowledge coordination.

Jie Shi, Hong Zhao

Inf. Sci., November, 2023

Feature selection via maximizing inter-class independence and minimizing intra-class redundancy for hierarchical classification.

Jie Shi, Zhengyu Li, Hong Zhao

Inf. Sci., May, 2023