| 2026 | AAAI | Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict. | Jie Shi, Xiaodong Yue, Wei Liu, Yufei Chen, Feifan Dong |
| 2026 | ISKE | Uncovering Reasoning Failures: Hallucination Detection via Semantic Probing and Attention Tracking. | Feifan Dong, Xiaodong Yue, Yufei Chen, Jie Shi |
| 2026 | ISKE | Beyond Statistical Divergence: A Hybrid Calibration Framework for Decoupling Hallucination in Large Language Models. | Jie Shi, Xiaodong Yue, Wei Liu, Yufei Chen, Feifan Dong, Zihao Li |
| 2026 | ISKE | Beyond Top-K: Representative Evidence Selection for Retrieval-Augmented Missing-Modality Learning. | Zhipeng Wei, Xiaodong Yue, Yufei Chen, Zhikang Xu, Zihao Li, Peiling Xu, Yuyang Wu |
| 2026 | ISKE | Domain Knowledge Guided for Varicose Vein Classification with Adaptive Clinical Experts. | Yanrun Zhu, Xiaodong Yue, Yufei Chen, Zhikang Xu, Zhipeng Wei, Jie Shi |
| 2026 | WWW | Enhancing Trusted Multi-View Classification via Adaptive Regularization Guided by View-Specific Biases. | Zhiyuan Liu, Xiaodong Yue, Yufei Chen, Shijie Ding, Jie Shi |
| 2026 | WWW | MGK-RAG: Multi-Granularity Knowledge Guided Retrieval-Augmented Generation for Radiology Report. | Jiaqing Ma, Xiaodong Yue, Yufei Chen, Jie Shi, Zhipeng Wei, Zeyu Jia |
| 2026 | WWW | Active Retrieval-Augmented Generation with Conflict-Fused Uncertainty Quantification. | Tao Tang, Xiaodong Yue, Yufei Chen, Jie Shi, Shijie Ding |
| 2025 | AAAI | Enhancing Multi-View Classification Reliability with Adaptive Rejection. | Wei Liu, Yufei Chen, Xiaodong Yue |
| 2025 | CIKM | Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval. | Fengyang Mao, Xiaodong Yue, Yufei Chen, Jiaqing Ma, Zheran Zhang, Jie Shi |
| 2025 | CIKM | Measuring Uncertainty in Medical Image Diagnosis via Conformal Focal Loss. | Ao Yang, Xiaodong Yue, Yufei Chen |
| 2025 | CVPR | Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild. | Wei Liu, Yufei Chen, Xiaodong Yue |
| 2025 | MICCAI | ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning. | Panpan Fan, Xiaodong Yue, Yufei Chen, Zhipeng Wei, Jie Shi, Zhikang Xu |
| 2025 | MICCAI | Integrate Semantic Radiomics as Prior Evidence Into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis. | Zheran Zhang, Xiaodong Yue, Maoyu Wang, Zhikang Xu, Yufei Chen, Zhipeng Wei |
| 2025 | WWW | Refining Confusion and Ignorance in Trusted Multi-View Classification. | Xujing Zhou, Xiaodong Yue, Yufei Chen, Linye Li |
| 2025 | SoMeT | Uncertainty-Aware Modeling of Q-Values for Efficient Exploration in Deep Reinforcement Learning. | Jianyi Wu, Xiaodong Yue, Jie Shi |
| 2024 | ICANN | Safe Data Resampling Method Based on Counterfactuals Analysis. | Diwen Liu, Xiaodong Yue, Zhikang Xu |
| 2024 | ICPR | Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process. | Yuxian Zhou, Xiaodong Yue, Yufei Chen, Shaorong Xie |
| 2024 | IJCNN | Dual Prototype Learning for Robust Open Set Recognition. | Yini Wang, Xiaodong Yue, Zhikang Xu, Zihao Li |
| 2024 | MICCAI | Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI. | Zhicheng Dong, Xiaodong Yue, Yufei Chen, Xujing Zhou, Jiye Liang |
| 2023 | AAAI | Safe Multi-View Deep Classification. | Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie |
| 2023 | AAAI | Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. | Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li |
| 2023 | AAAI | T-distributed Spherical Feature Representation for Imbalanced Classification. | Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Shaoxun Xu, Chao Ma |
| 2023 | ICIP | Correlation and Foreground Attention to Improve Object Detection. | Yudi Dong, Xiaodong Yue, Zhikang Xu, Shaorong Xie |
| 2023 | ICIP | Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection. | Linye Li, Xiaodong Yue, Zhikang Xu, Shaorong Xie |
| 2023 | MICCAI | Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images. | Wei Fu, Yufei Chen, Wei Liu, Xiaodong Yue, Chao Ma |
| 2022 | AAAI | Trusted Multi-View Deep Learning with Opinion Aggregation. | Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux |
| 2022 | ICIP | Stable Clustering Ensemble Based on Evidence Theory. | Haijie Fu, Xiaodong Yue, Wei Liu, Thierry Denoeux |
| 2022 | MICCAI | Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge. | Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen |
| 2022 | MICCAI | Convolutional Redistribution Network for Multi-view Medical Image Diagnosis. | Yuan Zhou, Xiaodong Yue, Yufei Chen, Chao Ma, Ke Jiang |
| 2021 | IJCNN | Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation. | Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen |
| 2020 | CIKM | Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging. | Cheng Zhang, Xiaodong Yue, Yufei Chen, Ying Lv |
| 2020 | ICONIP | Clustering Ensemble Selection with Analytic Hierarchy Process. | Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou |
| 2020 | KSEM | Evidential Deep Neural Networks for Uncertain Data Classification. | Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux |
| 2019 | ICDM | Efficient Attribute Reduction with Submodular Function Optimization. | Xuxia Zhang, Xiaodong Yue, Zhikang Xu |
| 2019 | ICONIP | Clustering Ensemble Selection with Determinantal Point Processes. | Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou |
| 2018 | ICPR | Feature Selection Ensemble for Symbolic Data Classification with AHP. | Meiqian Wang, Xiaodong Yue, Can Gao, Yufei Chen |
| 2017 | ICIP | Ensemble of active contour based image segmentation. | Wei Xu, Xiaodong Yue, Yufei Chen, Marek Z. Reformat |
| 2017 | ICONIP | Efficient Neighborhood Covering Reduction with Submodular Function Optimization. | Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen |
| 2016 | ICPR | Rough Neighborhood Covering Reduction for robust classification. | Wei Huang, Xiaodong Yue, Caiming Zhong, Nan Zhang |
| 2015 | AAAI | Multi-View Actionable Patterns for Managing Traffic Bottleneck. | Xiaodong Yue, Longbing Cao, Yufei Chen, Bin Xu |
| 2014 | DSAA | Diversification recommendation of popular articles in micro-blog scenario. | Jianxing Zheng, Bofeng Zhang, Guobing Zou, Xiaodong Yue |
| 2013 | GRC | Scale selection in roughness based color quantization. | Xiaodong Yue, Duoqian Miao, Yue Wu, Caiming Zhong, Yufei Chen |
| 2013 | WCNC | High performance energy efficient multi-channel wireless data broadcasting system. | Jiaofei Zhong, Zheng Gao, Weili Wu, Weidong Chen, Xiaofeng Gao, Xiaodong Yue |
| 2012 | ACSSC | A blind linear smoothing method for OFDM systems without cyclic prefix. | Xiaodong Yue, Songlin Tian, Xuefu Zhou |
| 2004 | ICASSP | Near-far resistance of CDMA communication systems with spatial diversity. | Xiaodong Yue, H. Howard Fan |
| 2004 | WCNC | Linear smoothing method for blind equalization of OFDM systems without cyclic prefix. | Xiaodong Yue, H. Howard Fan |
| 2003 | ICASSP | A linear smoothing method for enhancing near-far resistance of CDMA detectors. | Xiaodong Yue, H. Howard Fan |
| 2002 | ICASSP | Optimum and suboptimum CDMA detectors: Near-far resistance under multipath. | Xiaodong Yue, H. Howard Fan |