RESEARCH研究成果
Publications学术论文
Journal and conference papers, followed by preprints. My name is highlighted in bold.期刊与会议论文按年份排列，预印本单独列出。我的姓名以粗体标注。
2026
Dual Uncertainty-Aware Guidance for Test-Time Visual Retrieval Under Distributional Variations
Yuanpeng He, Lijian Li,
Linyu Li,
Wenpin Jiao,
Chi-Man Pun,
Qingsong Wen,
Zhi Jin
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2026
Uncertainty-aware guidance improves test-time visual retrieval by calibrating pseudo-matches and adaptation strength under distribution shifts.
BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates
Lijian Li, Yuanpeng He,
Yudian Zheng,
Chung-ju Huang,
Linyu Li,
Dongming Jin,
Wenpin Jiao,
Zhi Jin,
Chi-Man Pun
Advances in Neural Information Processing Systems · 2026
A training-free Bayesian adaptation framework stabilizes streaming 3D reconstruction through state innovation gating and adaptive state updates.
Complementarity-driven Representation Learning for Multi-modal Knowledge Graph Completion
Lijian Li, Yuanpeng He,
Yandong Yan,
Linyu Li,
Wenpin Jiao,
Zhi Jin,
Chi-Man Pun
Pattern Recognition · 2026
Complementarity-guided modality fusion and entropy-guided negative sampling improve multimodal entity representations.
Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models
Chung-ju Huang,
Huiqiang Zhao, Yuanpeng He, Lijian Li,
Wenpin Jiao,
Zhi Jin,
Peixuan Chen,
Leye Wang
Annual Meeting of the Association for Computational Linguistics · 2026
Talaria protects prompts and responses during cloud-based LLM inference using a confidential virtual machine and reversible masking.
Consensus-Guided Multi-Match Adaptation With Uncertainty-Calibrated Thresholding for Test-Time Cross-Modal Retrieval
Yuanpeng He,
Chung-Ju Huang, Lijian Li,
Shizhuo Zhang,
Wenpin Jiao,
Chi-Man Pun,
Chin-Teng Lin,
Zhi Jin,
Witold Pedrycz,
Haibin Ling,
Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering · 2026
Consensus-guided multi-match adaptation and uncertainty-calibrated thresholds support cross-modal retrieval at test time.
2025
Co-evidential fusion with information volume for semi-supervised medical image segmentation
Yuanpeng He, Lijian Li, Tianxiang Zhan,
Chi-Man Pun,
Wenpin Jiao,
Zhi Jin
Pattern Recognition · 2025
Co-evidential fusion and information volume combine voxel-level uncertainty from multiple sources for targeted segmentation learning.
Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He, Lijian Li, Tianxiang Zhan,
Chi-Man Pun,
Wenpin Jiao,
Zhi Jin
ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 2025
Evidential learning and prototype consistency use uncertainty to improve segmentation with limited annotations.
An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization
Lijian Li, Yuanpeng He,
Chi-Man Pun
IEEE International Conference on Acoustics, Speech and Signal Processing · 2025
An adaptive framework uses conditional entropy optimization to learn from complementary views in clustering.
2024
Efficient Prototype Consistency Learning in Semi-Supervised Medical Image Segmentation via Joint Uncertainty and Data Augmentation
Lijian Li, Yuanpeng He,
Chi-Man Pun
IEEE International Conference on Bioinformatics and Biomedicine 2024 (IEEE BIBM 2024) · 2024
Joint uncertainty estimation and data augmentation improve prototype consistency for semi-supervised medical image segmentation.
Mutual Evidential Deep Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He,
Yali Bi, Lijian Li,
Chi-Man Pun,
Wenpin Jiao,
Zhi Jin
IEEE International Conference on Bioinformatics and Biomedicine 2024 (IEEE BIBM 2024) · 2024
Complementary networks fuse evidential predictions and guide learning with uncertainty-aware pseudo-labels.
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization
Yuanpeng He, Lijian Li, Tianxiang Zhan,
Wenpin Jiao,
Chi-Man Pun
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024) · 2024
Uncertainty-based evidential fusion and hybrid attention support temporal action localization with weak supervision.
Residual Feature-Reutilization Inception Network
Yuanpeng He,
Wenjie Song, Lijian Li, Tianxiang Zhan,
Wenpin Jiao
Pattern Recognition · 2024
A residual inception network reuses intermediate representations to strengthen feature learning.
2022
NNDF: A New Neural Detection Network for Aspect-Category Sentiment Analysis
Lijian Li, Yuanpeng He,
Li Li
International Conference on Knowledge Science, Engineering and Management (KSEM) · 2022
A neural detection network for identifying aspect categories and their associated sentiment.
2021
Transformer-based Relation Detect Model for Aspect-based Sentiment Analysis
Zixi Wei,
Xiaofei Xu, Lijian Li,
Kaixin Qin,
Li Li
International Joint Conference on Neural Networks (IJCNN) · 2021
A transformer-based relation model combines sentence and aspect information for aspect-level sentiment classification.
Preprints预印本
arXiv 2024
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Yuanpeng He, Lijian Li
arXiv · 2024
Dual-stage logit adjustments address class imbalance when labeled and unlabeled data include both known and novel categories.
arXiv 2024
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He, Lijian Li
arXiv · 2024
Evidential fusion combines predictions from original and mixed samples to guide uncertainty-aware medical image segmentation.
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