| 2026 | ICPR | SCG-SSC: Semantic Scene Completion via Self-and-Cross Gated Fusion of Depth Maps and Semantic Priors. | Cheng Feng, Congxuan Zhang, Zhen Chen, Weiming Hu, Ke Lu, Liyue Ge |
| 2026 | MMM | SAP-DQR: Joining Spatial-Adaptive Pyramid and Adaptive Query Reorganization for Speed-Accuracy Instance Segmentation. | Jiahao Zou, Congxuan Zhang, Liyue Ge, Chao He, Jiawen Yang, Zhen Chen, Ke Lu |
| 2025 | ICASSP | BlurPaint: Image Inpainting using Blurring Diffusion Models. | Linxu Chen, Zhiqing Guo, Liejun Wang, Ke Lu |
| 2025 | ICASSP | MotionFlow: Joint Motion Priors and Appearance Enhancement for High-Accuracy Optical Flow Estimation. | Zixu Wang, Congxuan Zhang, Zhen Chen, Hongye Chen, Liyue Ge, Ke Lu |
| 2025 | ICCV | Text-to-Any-Skeleton Motion Generation Without Retargeting. | Qingyuan Liu, Ke Lu, Kun Dong, Jian Xue, Zehai Niu, Jinbao Wang |
| 2025 | ICLR | LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. | Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong |
| 2025 | IJCAI | MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition. | Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang |
| 2025 | SMC | Learning Multi-Scale Spatial Features Representation in Frequency Domain for Gait Recognition. | Tong Ning, Ke Lu, Jian Xue |
| 2025 | SMC | Adaptive Multi-Layer Prioritized Fictitious Self-play in Multi-Agent Reinforcement Learning. | Chao Yue, Jian Xue, Lin Zhao, Yuan Lei, Shun Mao, Ke Lu |
| 2024 | AAAI | Agile Multi-Source-Free Domain Adaptation. | Xinyao Li, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu |
| 2024 | CVPR | Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. | Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li |
| 2024 | CVPR | Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. | Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li |
| 2024 | ECCV | FlexControl: Flexible and Efficient Full-Body Controllable Text-to-Motion Generation. | Qingyuan Liu, Ke Lu, Zehai Niu, Kun Dong, Jian Xue, Xiaoyu Qin, Jinbao Wang |
| 2024 | ECCV | Motion Reconstruction via Human Anatomy Diffusion from Sparse Tracking. | Zehai Niu, Ke Lu, Kun Dong, Jian Xue, Xiaoyu Qin, Jinbao Wang |
| 2024 | ICANN | SRA-YOLO: Spatial Resolution Adaptive YOLO for Semi-supervised Cross-Domain Aerial Object Detection. | Junhao Huang, Jian Xue, Yuqiu Li, Hao Wu, Ke Lu |
| 2024 | ICIP | 3Dlaneformer: Rethinking Learning Views for 3D Lane Detection. | Kun Dong, Jian Xue, Xing Lan, Ke Lu |
| 2024 | ICONIP | MA-Mamba: Multi-Agent Reinforcement Learning with State Space Model. | Yuan Lei, Jian Xue, Lin Zhao, Chao Yue, Ke Lu |
| 2024 | IJCNN | Real-time Integration of Fine-tuned Large Language Model for Improved Decision-Making in Reinforcement Learning. | Xiancai Xiang, Jian Xue, Lin Zhao, Yuan Lei, Chao Yue, Ke Lu |
| 2024 | VTC | Application of IPv6 Protocol Conformance Test in 5G Visual Inspection Robot System. | Ke Lu, Zhipeng Zhang, Shuyi Wang, Yihuan He |
| 2024 | SIGIR | DDPO: Direct Dual Propensity Optimization for Post-Click Conversion Rate Estimation. | Hongzu Su, Lichao Meng, Lei Zhu, Ke Lu, Jingjing Li |
| 2023 | AAAI | Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. | Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu |
| 2023 | BMVC | BiUNet: Towards More Effective UNet with Bi-Level Routing Attention. | Kun Dong, Jian Xue, Xing Lan, Ke Lu |
| 2023 | CIKM | Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization. | Ke Lu, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du |
| 2023 | ICIP | Semi-Supervised Contrastive Learning of Global and Local Representation for 3d Medical Image Segmentation. | Chuang Jia, Jian Xue, Ke Lu, Zhongqi Wu |
| 2023 | IJCNN | A Novel Cross-Fusion Method of Different Types of Features for Image Captioning. | Liangshan Lou, Ke Lu, Jian Xue |
| 2023 | VTC | MAC-Based Stream-Aware Mechanism for IEEE 802.1Qbv Networks. | Ke Cui, Yuan Zhu, Binqi Li, Ke Lu, Qin Liu, Mingzhi Wu |
| 2022 | AAAI | TransZero: Attribute-Guided Transformer for Zero-Shot Learning. | Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You |
| 2022 | AAAI | Shape-Adaptive Selection and Measurement for Oriented Object Detection. | Liping Hou, Ke Lu, Jian Xue, Yuqiu Li |
| 2022 | AAAI | Exploring Visual Context for Weakly Supervised Person Search. | Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang |
| 2022 | CVPR | Distinguishing Unseen from Seen for Generalized Zero-shot Learning. | Hongzu Su, Jingjing Li, Zhi Chen, Lei Zhu, Ke Lu |
| 2022 | ICPR | Improved Transformer with Parallel Encoders for Image Captioning. | Liangshan Lou, Ke Lu, Jian Xue |
| 2022 | SMC | Dual-Branch Point Cloud Feature Learning for 3D Object Detection. | Hengsheng Lun, Jian Xue, Ke Lu |
| 2021 | AAAI | Balanced Open Set Domain Adaptation via Centroid Alignment. | Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang |
| 2021 | CVPR | Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. | Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu |
| 2021 | ICIP | Spatiotemporal Features and Local Relationship Learning for Facial Action Unit Intensity Regression. | Chao Wei, Ke Lu, Wei Gan, Jian Xue |
| 2020 | ICPR | A Novel Multi-feature Skeleton Representation for 3D Action Recognition. | Lian Chen, Ke Lu, Pengcheng Gao, Jian Xue, Jinbao Wang |
| 2020 | MMM | Extraction of Multi-class Multi-instance Geometric Primitives from Point Clouds Using Energy Minimization. | Liang Wang, Biying Yan, Fuqing Duan, Ke Lu |
| 2019 | AAAI | From Zero-Shot Learning to Cold-Start Recommendation. | Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang |
| 2019 | CVPR | Leveraging the Invariant Side of Generative Zero-Shot Learning. | Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang |
| 2019 | DASFAA | A Domain Adaptation Approach for Multistream Classification. | Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang |
| 2019 | IJCNN | Agile Domain Adaptation. | Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang |
| 2019 | VCIP | A Single-stage Multi-class Object Detection Method for Remote Sensing Images. | Liping Hou, Jian Xue, Ke Lu, Li Hao, Mohammad Muntasir Rahman |
| 2018 | AAAI | Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. | Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong |
| 2018 | DASFAA | Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. | Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu |
| 2018 | ICPR | A fast Cascade Shape Regression Method based on CNN-based Initialization. | Pengcheng Gao, Jian Xue, Ke Lu, Yanfu Yan |
| 2017 | ADC | Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation. | Jingjing Li, Ke Lu, Lei Zhu, Zhihui Li |
| 2016 | ICIP | MQDF with a novel covariance matrix estimation and discriminant LSRC, which is better for in-air handwritten Chinese character recognition. | Zhaochun Xu, Weiqiang Wang, Ke Lu |
| 2016 | ICPR | Egocentric hand detection via region growth. | Shao Huang, Weiqiang Wang, Ke Lu |
| 2016 | ICPR | In-air handwritten Chinese character recognition using discriminative projection based on locality-sensitive sparse representation. | Xiwen Qu, Weiqiang Wang, Ke Lu |
| 2016 | IJCAI | Joint Feature Selection and Structure Preservation for Domain Adaptation. | Jingjing Li, Jidong Zhao, Ke Lu |
| 2016 | MMM | Collaborative Q-Learning Based Routing Control in Unstructured P2P Networks. | Xiangjun Shen, Qing Chang, Jianping Gou, Qirong Mao, Zheng-Jun Zha, Ke Lu |
| 2016 | PPSN | Improving Efficiency of Bi-level Worst Case Optimization. | Ke Lu, Jrgen Branke, Tapabrata Ray |
| 2015 | GECCO | Finding the Trade-off between Robustness and Worst-case Quality. | Jrgen Branke, Ke Lu |
| 2015 | ICIP | A novel binarization approach for text in images. | Ping Hu, Weiqiang Wang, Ke Lu |
| 2015 | ICIP | Robustly tracking objects via multi-task kernel dynamic sparse model. | Zhangjian Ji, Weiqiang Wang, Ke Lu |
| 2015 | ICIP | In-air handwritten Chinese character recognition using multi-stage classifier based on adaptive discriminative locality alignment. | Xiwen Qu, Weiqiang Wang, Ke Lu, Ning Xu |
| 2015 | MVA | Similar handwritten Chinese character recognition based on adaptive discriminative locality alignment. | Xiwen Qu, Ning Xu, Weiqiang Wang, Ke Lu |
| 2014 | HCI | Aluminum CT Image Defect Detection Based on Segmentation and Feature Extraction. | Ning He, Lulu Zhang, Ke Lu |
| 2014 | ICPR | Video Text Extraction Using the Fusion of Color Gradient and Log-Gabor Filter. | Zhike Zhang, Weiqiang Wang, Ke Lu |
| 2013 | CVPR | Binary Code Ranking with Weighted Hamming Distance. | Lei Zhang, Yongdong Zhang, Jinhui Tang, Ke Lu, Qi Tian |
| 2013 | HCI | Semi-supervised Remote Sensing Image Segmentation Using Dynamic Region Merging. | Ning He, Ke Lu, Yixue Wang, Yue Gao |
| 2013 | HCI | A Coastline Detection Method Based on Level Set. | Qian Wang, Ke Lu, Fuqing Duan, Ning He, Lei Yang |
| 2013 | ICIP | Extract foreground objects based on sparse model of spatiotemporal spectrum. | Zhangjian Ji, Weiqiang Wang, Ke Lu |
| 2013 | MMM | Paint the City Colorfully: Location Visualization from Multiple Themes. | Quan Fang, Jitao Sang, Changsheng Xu, Ke Lu |
| 2012 | ECCV | Chinese Shadow Puppetry with an Interactive Interface Using the Kinect Sensor. | Hui Zhang, Yuhao Song, Zhuo Chen, Ji Cai, Ke Lu |
| 2012 | ICPR | Effectively localize text in natural scene images. | Xiaoqian Liu, Ke Lu, Weiqiang Wang |
| 2011 | HCI | An Image Segmentation Method for Chinese Paintings by Combining Deformable Models with Graph Cuts. | Ning He, Ke Lu |
| 2010 | ISKE | Automation system for optimization of vulcanization accelerator production. | Xiaodong Zhang, Xiujuan Li, Ke Lu |
| 2007 | CIS | An Effective Approach to Content-Based 3D Model Retrieval and Classification. | Ke Lu, Feng Zhao, Ning He |
| 2006 | ICPR | Robust Partial Volume Segmentation with Bias Field Correction in Brain MRI. | Huiguang He, Bin Lv, Ke Lu |
| 2006 | ISNN | Semi-supervised Support Vector Learning for Face Recognition. | Ke Lu, Xiaofei He, Jidong Zhao |
| 2005 | ISNN | Semi-supervised Learning for Image Retrieval Using Support Vector Machines. | Ke Lu, Jidong Zhao, Mengqin Xia, Jiazhi Zeng |
| 2004 | CIS | Image Retrieval Using Dimensionality Reduction. | Ke Lu, Xiaofei He, Jiazhi Zeng |