| 2026 | AAAI | Stepwise Contrastive Reasoning for Retrieval-Augmented Generation over Knowledge Graphs. | Chenxiao Lin, Ye Luo, Kunhong Liu, Qingqiang Wu |
| 2026 | AAAI | Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma. | Ji Rao, Xinyu Liu, Yong Yi, Ying Xiao, Ye Luo |
| 2026 | ICDE | RaSE-KGC: A Relation-Aware Segment Encoding Approach for Knowledge Graph Completion. | Chenxiao Lin, Ye Luo, Kunhong Liu, Qingqiang Wu |
| 2025 | AAAI | SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction. | Hao Wang, Lu Wang, Zhongyu Wang, Lixin Ma, Ye Luo |
| 2025 | ECAI | Tropical Algebra Meets Quantization: Less Multiplication QTCNNs for Efficient Inference. | Mingbo Li, Chang Dong, Ye Luo |
| 2025 | ICASSP | BIF: A Biosignature Identification Framework for Model-agnostic Interpretation of MVI Diagnosis Models in HCC. | Pengyu Zheng, Yong Yi, Ye Luo |
| 2025 | IWQoS | PP-DACMR: A Privacy-Preserving Deep Adversarial Hashing for Cross-Modal Retrieval. | Jinzhi Ouyang, Fuyi Wang, Ye Luo, Jianting Ning, Leo Yu Zhang |
| 2025 | NAACL | TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. | Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen |
| 2025 | PRICAI | PBNAT: Overcoming the Accuracy-Robustness Trade-off via Parallel Batch Normalization. | Jingning Xu, Chen Chen, Ye Luo, Zhen Gao |
| 2025 | SC | Multiscale Light-Matter Dynamics in Quantum Materials: From Electrons to Topological Superlattices. | Taufeq Mohammed Razakh, Thomas Linker, Ye Luo, Nariman Piroozan, Simon John Pennycook, Nalini Kumar, Albert Musaelian, Anders Johansson, Boris Kozinsky, Rajiv K. Kalia, Priya Vashishta, Fuyuki Shimojo, Shinnosuke Hattori, Ken-ichi Nomura, Aiichiro Nakano |
| 2024 | CSCWD | Reliable Cosine Matching via Neighborhood Consensus for Fundus Image Registration. | Kexian Tang, Shuyu Wang, Hao Yang, Huilin Lai, Jingyi Sun, Ye Luo |
| 2024 | EDM | On the Selection of Positive and Negative Samples for Contrastive Math Word Problem Neural Solver. | Yiyao Li, Lu Wang, Jung-Jae Kim, Chor Seng Tan, Ye Luo |
| 2024 | SC | Ponte Vecchio Across the Atlantic: Single-Node Benchmarking of Two Intel GPU Systems. | Thomas Applencourt, Aditya Sadawarte, Servesh Muralidharan, Colleen Bertoni, JaeHyuk Kwack, Ye Luo, Esteban Rangel, John R. Tramm, Yasaman Ghadar, Arjen Tamerus, Chris Edsall, Tom Deakin |
| 2023 | ACISP | Improved Differential Cryptanalysis on SPECK Using Plaintext Structures. | Zhuohui Feng, Ye Luo, Chao Wang, Qianqian Yang, Zhiquan Liu, Ling Song |
| 2023 | ICIP | Attentive Deep K-SVD Network for Patch Correlated Image Denoising. | Yiwen Liang, Lu Wang, Jianfei Wang, Ye Luo |
| 2023 | ICONIP | A Context Aware Lung Cancer Survival Prediction Network by Using Whole Slide Images. | Xinyu Liu, Yicheng Wang, Ye Luo |
| 2023 | ICONIP | BIN: A Bio-Signature Identification Network for Interpretable Liver Cancer Microvascular Invasion Prediction Based on Multi-modal MRIs. | Pengyu Zheng, Bo Li, Huilin Lai, Ye Luo |
| 2022 | CVPR | Equalized Focal Loss for Dense Long-Tailed Object Detection. | Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo |
| 2022 | SC | A High-Performance Design for Hierarchical Parallelism in the QMCPACK Monte Carlo code. | Ye Luo, Peter W. Doak, Paul R. C. Kent |
| 2021 | ICIP | Liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images. | Chao Pan, Peiyun Zhou, Jingru Tan, Baoye Sun, Ruoyu Guan, Zhutao Wang, Ye Luo, Jianwei Lu |
| 2021 | ICIP | L-Snet: From Region Localization To Scale Invariant Medical Image Segmentation. | Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo |
| 2021 | ICONIP | BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease. | Peiyi Gu, Xiaowen Xu, Ye Luo, Peijun Wang, Jianwei Lu |
| 2021 | ICONIP | Generative Adversarial Domain Generalization via Cross-Task Feature Attention Learning for Prostate Segmentation. | Yifang Xu, Dan Yu, Ye Luo, Enbei Zhu, Jianwei Lu |
| 2020 | ICPR | Single Image Deblurring Using Bi-Attention Network. | Yaowei Li, Ye Luo, Jianwei Lu |
| 2020 | ICPR | Ultrasound Image Restoration Using Weighted Nuclear Norm Minimization. | Hanmei Yang, Heng Zhang, Ye Luo, Jianwei Lu, Jian Lu |
| 2018 | ICPR | Spatial Pyramid Dilated Network for Pulmonary Nodule Malignancy Classification. | Guokai Zhang, Ye Luo, Dandan Zhu, Yixuan Xu, Yunxin Sun, Jianwei Lu |
| 2017 | ICIP | Saliency prediction based on new deep multi-layer convolution neural network. | Dandan Zhu, Ye Luo, Xuan Shao, Laurent Itti, Jianwei Lu |
| 2017 | ICONIP | MC-DCNN: Dilated Convolutional Neural Network for Computing Stereo Matching Cost. | Xiao Liu, Ye Luo, Yu Ye, Jianwei Lu |
| 2017 | ICONIP | Regularizing CNN via Feature Augmentation. | Liechuan Ou, Zheng Chen, Jianwei Lu, Ye Luo |
| 2017 | ICONIP | Scanpath Prediction Based on High-Level Features and Memory Bias. | Xuan Shao, Ye Luo, Dandan Zhu, Shuqin Li, Laurent Itti, Jianwei Lu |
| 2017 | ICONIP | A Hybrid Model: DGnet-SVM for the Classification of Pulmonary Nodules. | Yixuan Xu, Guokai Zhang, Yuan Li, Ye Luo, Jianwei Lu |
| 2017 | ICONIP | Deep Salient Object Detection via Hierarchical Network Learning. | Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Laurent Itti, Jianwei Lu |
| 2017 | SC | Embracing a new era of highly efficient and productive quantum Monte Carlo simulations. | Amrita Mathuriya, Ye Luo, Raymond C. Clay III, Anouar Benali, Luke Shulenburger, Jeongnim Kim |
| 2016 | IGARSS | Cloud Detection of optical remote sensing image time series using Mean Shift algorithm. | Jiang Qian, Ye Luo, Yong Wang, Daotong Li |
| 2016 | NAACL | Detecting "Smart" Spammers on Social Network: A Topic Model Approach. | Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu |
| 2015 | ICCV | Actionness-Assisted Recognition of Actions. | Ye Luo, Loong-Fah Cheong, An Tran |
| 2014 | ACCV | Modeling the Temporality of Saliency. | Ye Luo, Loong-Fah Cheong, John-John Cabibihan |
| 2012 | CVPR | Spatio-temporal enhanced sparse feature selection for video saliency estimation. | Ye Luo, Qi Tian |
| 2010 | ACCV | Saliency Density Maximization for Object Detection and Localization. | Ye Luo, Junsong Yuan, Ping Xue, Qi Tian |