| 2026 | AAAI | Trusted Multi-view Learning for Long-tailed Classification. | Chuanqing Tang, Yifei Shi, Guanghao Lin, Lei Xing, Long Shi |
| 2025 | ICDE | Maximal Similar-Weight Biclique Enumeration for Large Bipartite Graphs. | Jianye Yang, Lei Xing, Ziyi Ma, Xi Luo, Cuiyun Gao, Xuemin Lin |
| 2025 | ICLR | MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. | Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou |
| 2025 | MICCAI | Boosting Generalizability in NPC ART Prediction via Multi-omics Feature Mapping. | Jiabao Sheng, Zhe Li, Jiang Zhang, Saikit Lam, Zhi Chen, Lei Xing, Jing Cai |
| 2025 | WACV | MS-Glance: Bio-Inspired Non-Semantic Context Vectors and Their Applications in Supervising Image Reconstruction. | Ziqi Gao, Wendi Yang, Yujia Li, Lei Xing, S. Kevin Zhou |
| 2024 | CVPR | L2B: Learning to Bootstrap Robust Models for Combating Label Noise. | Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing |
| 2024 | ICML | In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. | Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou |
| 2024 | ISSRE | CCBPS: A Hardware-based Data Loss Prevention Approach. | Panshi Jin, Lei Xing, Yufei Yang, Zhaojun Hao |
| 2023 | MICCAI | Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. | Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou |
| 2023 | MICCAI | Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images. | Zixia Zhou, Yuming Jiang, Ruijiang Li, Lei Xing |
| 2023 | WACV | PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction. | Bowen Song, Liyue Shen, Lei Xing |
| 2022 | ICLR | Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. | Yang Song, Liyue Shen, Lei Xing, Stefano Ermon |
| 2022 | MICCAI | CateNorm: Categorical Normalization for Robust Medical Image Segmentation. | Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan L. Yuille, Yuyin Zhou |
| 2022 | SMC | MVFF: Multi-view Feature Fusion for Few-shot Remote Sensing Image Scene Classification. | Anxun Han, Lei Xing, Weifeng Liu, Baodi Liu |
| 2021 | MICCAI | TransCT: Dual-Path Transformer for Low Dose Computed Tomography. | Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing |
| 2020 | IJCNN | Robust Sparse Channel Estimation Based on Maximum Mixture Correntropy Criterion. | Mingfei Lu, Lei Xing, Nanning Zheng, Badong Chen |
| 2020 | MICCAI | Difficulty-Aware Meta-learning for Rare Disease Diagnosis. | Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng |
| 2020 | PSB | Obtaining Dual-Energy Computed Tomography (CT) Information from a Single-Energy CT Image forQuantitative Imaging Analysis of Living Subjects by Using Deep Learning. | Wei Zhao, Tianling Lv, Rena Lee, Yang Chen, Lei Xing |
| 2019 | MICCAI | Toward Markerless Image-Guided Radiotherapy Using Deep Learning for Prostate Cancer. | Wei Zhao, Bin Han, Yong Yang, Mark K. Buyyounouski, Steven L. Hancock, Hilary Bagshaw, Lei Xing |
| 2018 | IJCNN | Robust Locality Preserving Projection Based on Kernel Risk-Sensitive Loss. | Lei Xing, Yunqi Mi, Yuanhao Li, Badong Chen |
| 2018 | MICCAI | Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. | Bulat Ibragimov, Diego A. S. Toesca, Yixuan Yuan, Albert C. Koong, Daniel T. Chang, Lei Xing |
| 2018 | MICCAI | RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. | Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing |
| 2017 | MICCAI | Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder. | Yixuan Yuan, Max Q.-H. Meng, Wenjian Qin, Lei Xing |
| 2011 | ICMLA | Development of a Beam Source Modeling Technique for a Flattening Filter Free (FFF) Beam. | Woong Cho, Jeong-Hoon Park, Won-Gyun Jung, Tae-Suk Suh, Kayla N. Kielar, Ed Mok, Ruijiang Li, Lei Xing |
| 2011 | ICMLA | 3D Bayesian Tracking with a Single Imager for Real-Time Image Guidance in Prostate Radiation Therapy. | Ruijiang Li, Benjamin Fahimian, Lei Xing |
| 2011 | ICMLA | A Kernel Method for Real-Time Respiratory Tumor Motion Estimation Using External Surrogates. | Ruijiang Li, Lei Xing |
| 2004 | IPAS | Blind image restoration based on RBF neural networks. | Ping Guo, Lei Xing |