| 2026 | AAAI | Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction. | Quanjiang Guo, Sijie Wang, Jinchuan Zhang, Ben Zhang, Zhao Kang, Ling Tian, Ke Yan |
| 2026 | AAAI | MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification. | Zijiang Yang, Hanqing Chao, Bokai Zhao, Yelin Yang, Yunshuo Zhang, Dongmei Fu, Junping Zhang, Le Lu, Ke Yan, Dakai Jin, Minfeng Xu, Yun Bian, Hui Jiang |
| 2026 | AAAI | D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning. | Evelyn Zhang, Fufu Yu, Aoqi Wu, Zichen Wen, Ke Yan, Shouhong Ding, Biqing Qi, Linfeng Zhang |
| 2026 | AAAI | ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes. | Wang-Tao Zhou, Zhao Kang, Ke Yan, Ling Tian |
| 2026 | ASPLOS | PAT: Accelerating LLM Decoding via Prefix-Aware Attention with Resource Efficient Multi-Tile Kernel. | Jinjun Yi, Zhixin Zhao, Yitao Hu, Ke Yan, Weiwei Sun, Hao Wang, Laiping Zhao, Yuhao Zhang, Wenxin Li, Keqiu Li |
| 2025 | AAAI | Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans. | Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu |
| 2025 | AAAI | SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation. | Ke Yan, Qing Cai, Fan Zhang, Ziyan Cao, Zhi Liu |
| 2025 | CVPR | Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception. | Yuanchen Wu, Lu Zhang, Hang Yao, Junlong Du, Ke Yan, Shouhong Ding, Yunsheng Wu, Xiaoqiang Li |
| 2025 | CVPR | ROD-MLLM: Towards More Reliable Object Detection in Multimodal Large Language Models. | Heng Yin, Yuqiang Ren, Ke Yan, Shouhong Ding, Yongtao Hao |
| 2025 | DASFAA | CDIVR: Cognitive Dissonance-Aware Interactive Video Recommendation. | Sicong Liu, Ke Yan, Haojie Shi, Ming Jia |
| 2025 | ICCV | Harmonyseg: Tubular Structure Segmentation With Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss. | Yi Huangi, Ke Zhang, Wei Liu, Yuanyuan Wang, Vishal M. Patel, Le Lu, Xu Han, Dakai Jin, Ke Yan |
| 2025 | ICCV | Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation. | Guopeng Li, Qiang Wang, Ke Yan, Shouhong Ding, Yuan Gao, Gui-Song Xia |
| 2025 | ICCV | Bridging Local Inductive Bias and Long-Range Dependencies With Pixel-Mamba for End-To-End Whole Slide Image Analysis. | Zhongwei Qiu, Hanqing Chao, Tiancheng Lin, Wanxing Chang, Zijiang Yang, Wenpei Jiao, Yixuan Shen, Yunshuo Zhang, Yelin Yang, Wenbin Liu, Hui Jiang, Yun Bian, Ke Yan, Dakai Jin, Le Lu |
| 2025 | ICCV | Aigi-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models. | Ziyin Zhou, Yunpeng Luo, Yuanchen Wu, Ke Sun, Jiayi Ji, Ke Yan, Shouhong Ding, Xiaoshuai Sun, Yunsheng Wu, Rongrong Ji |
| 2025 | ICLR | ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts. | Yuanchen Wu, Junlong Du, Ke Yan, Shouhong Ding, Xiaoqiang Li |
| 2025 | ICML | Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration. | Yuanchen Wu, Ke Yan, Shouhong Ding, Ziyin Zhou, Xiaoqiang Li |
| 2025 | IPCCC | Exploiting Parasitic Dependency for Free-Rider Elimination in Blockchain-Based Federated Learning. | Donghang Duan, Xu Zheng, Yifu Zheng, Chong Mu, Ruozhou Wang, Ke Yan |
| 2025 | MICCAI | PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-contrast CT Scans. | Jiacheng Hao, Xiaoming Zhang, Wei Liu, Xiaoli Yin, Yuan Gao, Chunli Li, Ling Zhang, Le Lu, Yu Shi, Xu Han, Ke Yan |
| 2025 | MICCAI | Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-Guided Supervision and Station-Aware Mixture-of-Experts. | Haoshen Li, Yirui Wang, Qinji Yu, Jie Zhu, Ke Yan, Dazhou Guo, Le Lu, Bin Dong, Li Zhang, Xianghua Ye, Qifeng Wang, Dakai Jin |
| 2025 | MICCAI | Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-lesion Aggregation. | Song Zhang, Jiajin Zhang, Liheng Qiu, Wei Liu, Dakai Jin, Le Lu, Shenmiao Yang, Ke Yan |
| 2024 | AAAI | VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. | Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan |
| 2024 | AAAI | MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning. | Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding |
| 2024 | CVPR | CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. | Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu |
| 2024 | CVPR | Anchor-based Robust Finetuning of Vision-Language Models. | Jinwei Han, Zhiwen Lin, Zhongyisun Sun, Yingguo Gao, Ke Yan, Shouhong Ding, Yuan Gao, Gui-Song Xia |
| 2024 | CVPR | LaRE | Yunpeng Luo, Junlong Du, Ke Yan, Shouhong Ding |
| 2024 | CVPR | Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration. | Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang |
| 2024 | ECCV | Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer. | Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Na Shen, Qifeng Wang, Xiaowei Ding, Le Lu, Xianghua Ye, Dakai Jin |
| 2024 | ICASSP | ProAug: Prototype-Based Augmentation for Long-Tailed Image Classification. | Yan Hong, Jianfu Zhang, Zhongyi Sun, Ke Yan |
| 2024 | ICML | Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. | Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang |
| 2024 | IJCNN | SentKB-BERT: Sentiment-filtered Knowledge-based Stance Detection. | Hongzhou Chen, Ke Yan, Kadhim Mustafa Raad Kadhim, Kui Wu, Ling Tian |
| 2024 | MICCAI | LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning. | Wei Huang, Wei Liu, Xiaoming Zhang, Xiaoli Yin, Xu Han, Chunli Li, Yuan Gao, Yu Shi, Le Lu, Ling Zhang, Lei Zhang, Ke Yan |
| 2024 | MICCAI | Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion. | Haoshen Li, Yirui Wang, Jie Zhu, Dazhou Guo, Qinji Yu, Ke Yan, Le Lu, Xianghua Ye, Li Zhang, Qifeng Wang, Dakai Jin |
| 2024 | MICCAI | Improved Esophageal Varices Assessment from Non-contrast CT Scans. | Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi |
| 2024 | MICCAI | Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning. | Qinji Yu, Yirui Wang, Ke Yan, Le Lu, Na Shen, Xianghua Ye, Xiaowei Ding, Dakai Jin |
| 2024 | MICCAI | IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images. | Yejia Zhang, Hanqing Chao, Zhongwei Qiu, Wenbin Liu, Yixuan Shen, Nishchal Sapkota, Pengfei Gu, Danny Z. Chen, Le Lu, Ke Yan, Dakai Jin, Yun Bian, Hui Jiang |
| 2024 | SMC | Dual-GTF: Enhancing Community Detection with Dual-Scale Game Theoretic Framework. | Haodong Shi, Zhao Kang, Ke Yan, Sicong Liu, Yichen Xin |
| 2023 | AAAI | Few-Shot Object Detection via Variational Feature Aggregation. | Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia |
| 2023 | AAAI | Inter-image Contrastive Consistency for Multi-Person Pose Estimation. | Xixia Xu, Yingguo Gao, Xingjia Pan, Ke Yan, Xiaoyu Chen, Qi Zou |
| 2023 | CVPR | Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. | Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang |
| 2023 | GPC | VMD-AC-LSTM: An Accurate Prediction Method for Solar Irradiance. | Jianwei Wang, Ke Yan, Xiang Ma |
| 2023 | HPCC | Solar Irradiance Forecasting Utilizing Distributed and Federated Learning. | Hao Zhang, Ke Yan |
| 2023 | ICCV | CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. | Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang |
| 2023 | ICCV | Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis. | Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu |
| 2023 | ICCV | Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. | Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin |
| 2023 | IJCNN | Out-of-Scope Intent Detection with Supervised Deep Metric Learning. | Youwen Zhang, Xudong Wang, Linlin Wang, Ke Yan, Huan Chen |
| 2023 | IPCCC | A Dual-view Semi-supervised Learning Framework for Combinatorial Few-shot Fault Diagnosis. | Yumeng Liu, Wenzhang Zhong, Ke Yan, Ling Tian |
| 2023 | MICCAI | SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation. | Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng |
| 2023 | MICCAI | SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid. | Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin |
| 2023 | MICCAI | Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification. | Ke Yan, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua, Xianghua Ye, Le Lu |
| 2023 | MICCAI | Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. | Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi |
| 2022 | AAAI | Lifelong Person Re-identification by Pseudo Task Knowledge Preservation. | Wenhang Ge, Junlong Du, Ancong Wu, Yuqiao Xian, Ke Yan, Feiyue Huang, Wei-Shi Zheng |
| 2022 | CVPR | Expanding Low-Density Latent Regions for Open-Set Object Detection. | Jiaming Han, Yuqiang Ren, Jian Ding, Xingjia Pan, Ke Yan, Gui-Song Xia |
| 2022 | CVPR | SIOD: Single Instance Annotated Per Category Per Image for Object Detection. | Hanjun Li, Xingjia Pan, Ke Yan, Fan Tang, Wei-Shi Zheng |
| 2022 | CVPR | Location-Free Human Pose Estimation. | Xixia Xu, Yingguo Gao, Ke Yan, Xue Lin, Qi Zou |
| 2022 | DASC | A Multi-domain Sentiment Classification model based on Adversarial Multi-task learning and attention mechanisms. | Xinyu Li, Ning Jin, Ke Yan |
| 2022 | DASC | Fault Detection and Diagnosis of HVAC System Based on Federated Learning. | Xiansheng Wang, Ke Yan |
| 2022 | DASC | WT-BiLSTM Based Transfer Learning Method for Solar Irradiance Prediction. | Hao Zhang, Ke Yan |
| 2022 | ECCV | SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification. | Yan Hong, Jianfu Zhang, Zhongyi Sun, Ke Yan |
| 2022 | MICCAI | Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding. | Dazhou Guo, Jia Ge, Ke Yan, Puyang Wang, Zhuotun Zhu, Dandan Zheng, Xian-Sheng Hua, Le Lu, Tsung-Ying Ho, Xianghua Ye, Dakai Jin |
| 2022 | MICCAI | Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. | Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang |
| 2021 | CVPR | Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. | Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu |
| 2021 | CVPR | Graph-Based High-Order Relation Discovery for Fine-Grained Recognition. | Yifan Zhao, Ke Yan, Feiyue Huang, Jia Li |
| 2021 | DASC | Short-term Solar Irradiation Prediction Model Based on WCNN_ALSTM. | Maozheng Pi, Ning Jin, Xiang Ma, Ke Yan |
| 2021 | DASC | Multi-task sentiment classification model based on DistilBert and multi-scale CNN. | Guanghao Xiong, Ke Yan |
| 2021 | DASC | A deep learning model for PM2.5 concentration prediction. | Zhendong Zhang, Xiang Ma, Ke Yan |
| 2021 | HPCC | Intelligent and Automated Fault Detection and Diagnosis Strategy for HVAC Systems Based on Maintainability Rules for Construction 4.0. | Michael Yit Lin Chew, Ke Yan |
| 2021 | HPCC | Parallel LSTM Enhanced Forecasting System for Dependable and Secure Household Energy Consumption. | Ke Yan, Fan Yang, Xiaokang Zhou, Wei Liang |
| 2021 | HPCC | Innovative Digital Twin Platform Construction for Smart Grid System. | Yiguo Zhong, Wei Zhang, Xueping Ha, Qinghai Chen, Jing Huang, Ke Yan |
| 2021 | ICCV | Transformer-based Dual Relation Graph for Multi-label Image Recognition. | Jiawei Zhao, Ke Yan, Yifan Zhao, Xiaowei Guo, Feiyue Huang, Jia Li |
| 2021 | ICCV | Heterogeneous Relational Complement for Vehicle Re-identification. | Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian |
| 2021 | MICCAI | Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. | Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu |
| 2021 | MICCAI | Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. | Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison |
| 2021 | MICCAI | SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. | Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin |
| 2021 | MICCAI | Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. | Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu |
| 2021 | MICCAI | Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. | Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu |
| 2020 | CISIS | Simulation System of Autonomous Vehicles for Overtaking Service Using Smart Contract. | Kosuke Kaneko, Ke Yan, Kouichi Sakurai |
| 2020 | HCI | Research on Cultural Tourism Experience Design Based on Augmented Reality. | Meiyu Lv, Lei Wang, Ke Yan |
| 2020 | ISNCC | Performance Analysis of Cooperative Bidirectional Relay in Cognitive Radio Network with Energy Harvesting. | Ke Yan, Xian-Zhong Xie |
| 2020 | MICCAI | Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression. | Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison |
| 2020 | MICCAI | Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. | Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin |
| 2020 | MICCAI | Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization. | Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison |
| 2020 | MICCAI | One Click Lesion RECIST Measurement and Segmentation on CT Scans. | Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers |
| 2020 | MICCAI | Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. | Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu |
| 2019 | CVPR | Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. | Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers |
| 2019 | DASC | Life Assistants for the Elderly Based on Mobile Devices. | Wenjie Diao, Zhigang Gao, Ruichao Xu, Yunfeng Xie, Ke Yan, Hongyi Guo |
| 2019 | DASC | Deep Learning Technology for Chiller Faults Diagnosis. | Ke Yan, Jun Hua |
| 2019 | MICCAI | MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. | Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers |
| 2018 | CVPR | Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. | Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers |
| 2018 | ICARCV | Prior Knowledge Driven Energy for Saliency Detection. | Ke Yan, Chaojie Zheng, Qiu Huang, Jinman Kim, Dagan Feng, Xiuying Wang |
| 2018 | IGARSS | Cross-Scene Feature Selection for Hyperspectral Images Based on Cross-Domain Information Gain. | Minchao Ye, Yongqiu Xu, Huijuan Lu, Ke Yan, Yuntao Qian |
| 2018 | MICCAI | Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. | Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers |
| 2018 | MICCAI | CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. | Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers |
| 2018 | MICCAI | 3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection. | Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers |
| 2018 | UIC | DNN-Based Image Classification for Software GUI Testing. | Huijuan Lu, Li Wang, Minchao Ye, Ke Yan, Qun Jin |
| 2018 | UIC | Vote Parallel SVM: An Extension of Parallel Support Vector Machine. | Yan Song, Qun Jin, Ke Yan, Huijuan Lu, Julong Pan |
| 2018 | UIC | Data-Driven Intelligent Maintenance Planning of Smart Meter Reparations for Large-Scale Smart Electric Power Grid. | Weifeng Wang, Hao Chen, Bing Lou, Ning Jin, Xizhong Lou, Ke Yan |
| 2017 | ICCV | Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles. | Ke Yan, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang |
| 2016 | ICIP | Multilevel affinity graph for unsupervised image segmentation. | Ang Li, Xiuying Wang, Ke Yan, Changyang Li, Dagan Feng |
| 2016 | ICIP | Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder. | Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Jinman Kim, Dagan Feng |
| 2016 | ICPR | Local multiple directional pattern of palmprint image. | Lunke Fei, Jie Wen, Zheng Zhang, Ke Yan, Zuofeng Zhong |
| 2014 | ICA3PP | Equi-join for Multiple Datasets Based on Time Cost Evaluation Model. | Hong Zhu, Libo Xia, Meiyi Xie, Ke Yan |
| 2013 | ICNC | CUDA-based acceleration of the JPEG decoder. | Ke Yan, Junming Shan, Eryan Yang |
| 2013 | ICNC | Fixed-length string compression for direct operations in column-oriented databases. | Ke Yan, Meiyi Xie, Hong Zhu |
| 2013 | ICPADS | Lightweight Management of Authorization Update on Cloud Data. | Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan |
| 2010 | MFCS | Mesh Deformation of Dynamic Smooth Manifolds with Surface Correspondences. | Ho-Lun Cheng, Ke Yan |
| 2008 | ICNC | Design of ADC Control Module in a MCU. | Yueli Hu, Ke Yan, Wenyi Jing |