| 2026 | AAAI | Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment. | Yiwei Lou, Yuanpeng He, Rongchao Zhang, Yongzhi Cao, Hanpin Wang, Yu Huang |
| 2026 | ACL | 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 |
| 2026 | WWW | Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding. | LinYu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Yichi Zhang, Haoran Duan, Xuan Zhang, Zhengwei Tao, Tashi Nyima |
| 2025 | ACL | Revisit Self-Debugging with Self-Generated Tests for Code Generation. | Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Xinyu Zhang, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin |
| 2025 | ICASSP | An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization. | Lijian Li, Yuanpeng He, Chi-Man Pun |
| 2025 | ICASSP | Multi-Prototype-based Embedding Refinement for Medical Image Segmentation. | Yali Bi, Enyu Che, Yinan Chen, Yuanpeng He, Jingwei Qu |
| 2025 | KDD | Evidential Prototype Learning for Semi-supervised Medical Image Segmentation. | Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao, Zhi Jin |
| 2024 | ICASSP | 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 |
| 2022 | KSEM | NNDF: A New Neural Detection Network for Aspect-Category Sentiment Analysis. | Lijian Li, Yuanpeng He, Li Li |