New Spiking Cortical Model for Invariant Texture Retrieval and Image Processing. - Kun Zhan; Hongjuan Zhang; Yide Ma (IEEE Trans. Neural Networks, 2009)

Pulse-coupled neural networks and one-class support vector machines for geometry invariant texture retrieval. - Yide Ma; Li Liu; Kun Zhan; Yongqing Wu (Image Vis. Comput., 2010)

Antinoise Texture Retrieval Based on PCNN and One-Class SVM. - Le Tian; Yide Ma; Li Liu; Kun Zhan (IWANN (1), 2013)

Spiking Cortical Model for Rotation and Scale Invariant Texture Retrieval. - Kun Zhan; Jicai Teng; Yide Ma (J. Inf. Hiding Multim. Signal Process., 2013)

Multimodal Medical Image Fusion Framework Based on Simplified PCNN in Nonsubsampled Contourlet Transform Domain. - Nianyi Wang; Yide Ma; Kun Zhan; Min Yuan (J. Multim., 2013)

Spiking cortical model for multifocus image fusion. - Nianyi Wang; Yide Ma; Kun Zhan (Neurocomputing, 2014)

Joint tracking and classification based on aerodynamic model and radar cross section. - Hong Jiang 004; Long Xu; Kun Zhan (Pattern Recognit., 2014)

Image segmentation using fast linking SCM. - Kun Zhan; Jinhui Shi; Qiaoqiao Li; Jicai Teng; Mingying Wang (IJCNN, 2015)

Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain. - Bingxin Yang; Min Yuan; Yide Ma; Jiuwen Zhang; Kun Zhan (BMC Medical Imaging, 2015)

Joint tracking and classification with constraints and reassignment by radar and ESM. - Hong Jiang 004; Kun Zhan; Long Xu (Digit. Signal Process., 2015)

Multifocus image fusion using phase congruency. - Kun Zhan; Qiaoqiao Li; Jicai Teng; Mingying Wang; Jinhui Shi (J. Electronic Imaging, 2015)

Boosting Classifiers for Scene Category Recognition. - Fuxiang Lu; Jun Huang; Kun Zhan (J. Inf. Hiding Multim. Signal Process., 2015)

A Novel Explicit Multi-focus Image Fusion Method. - Kun Zhan; Jicai Teng; Qiaoqiao Li; Jinhui Shi (J. Inf. Hiding Multim. Signal Process., 2015)

Novel Real-Time FPGA-Based R-Wave Detection Using Lifting Wavelet. - Yurun Ma; Tongqing Li; Yide Ma; Kun Zhan (Circuits Syst. Signal Process., 2016)

Application of heterogeneous pulse coupled neural network in image quantization. - Yi Huang; Yide Ma; Shouliang Li; Kun Zhan (J. Electronic Imaging, 2016)

Large margin distribution machine for hyperspectral image classification. - Kun Zhan; Haibo Wang; He Huang; Yuange Xie (J. Electronic Imaging, 2016)

Unsupervised discriminative hashing. - Kun Zhan; Junpeng Guan; Yi Yang 001; Qun Wu (J. Vis. Commun. Image Represent., 2016)

Feature-Linking Model for Image Enhancement. - Kun Zhan; Jicai Teng; Jinhui Shi; Qiaoqiao Li; Mingying Wang (Neural Comput., 2016)

EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks. - Xuanyi Dong; Guoliang Kang; Kun Zhan; Yi Yang 001 (CoRR, 2017)

Linking synaptic computation for image enhancement. - Kun Zhan; Jinhui Shi; Jicai Teng; Qiaoqiao Li; Mingying Wang; Fuxiang Lu (Neurocomputing, 2017)

Cross-utilizing hyperchaotic and DNA sequences for image encryption. - Kun Zhan; Dong Wei; Jinhui Shi; Jun Yu (J. Electronic Imaging, 2017)

Albedo recovery for hyperspectral image classification. - Kun Zhan; Haibo Wang; Yuange Xie; Chutong Zhang; Yufang Min (J. Electronic Imaging, 2017)

Fast filtering image fusion. - Kun Zhan; Yuange Xie; Haibo Wang; Yufang Min (J. Electronic Imaging, 2017)

Graph-regularized concept factorization for multi-view document clustering. - Kun Zhan; Jinhui Shi; Jing Wang 023; Feng Tian 006 (J. Vis. Commun. Image Represent., 2017)

Adaptive Structure Concept Factorization for Multiview Clustering. - Kun Zhan; Jinhui Shi; Jing Wang 023; Haibo Wang; Yuange Xie (Neural Comput., 2018)

Diverse Non-Negative Matrix Factorization for Multiview Data Representation. - Jing Wang 023; Feng Tian 006; Hongchuan Yu; Chang Hong Liu; Kun Zhan; Xiao Wang 017 (IEEE Trans. Cybern., 2018)

Graph Learning for Multiview Clustering. - Kun Zhan; Changqing Zhang; Junpeng Guan; Junsheng Wang (IEEE Trans. Cybern., 2018)

Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification. - Zhiqiang Zeng; Zhihui Li 001; De Cheng; Huaxiang Zhang 001; Kun Zhan; Yi Yang 001 (IEEE Trans. Ind. Informatics, 2018)

Generative approach to unsupervised deep local learning. - Changlu Chen; Chaoxi Niu; Xia Zhan; Kun Zhan (J. Electronic Imaging, 2019)

Multifocus image fusion using structure-preserving filter. - Qiaoqiao Li; Guoyue Chen; Kun Zhan; Xingguo Zhang; Kazuki Saruta; Yuki Terata (J. Electronic Imaging, 2019)

Adaptive scalable kernel for hyperspectral image classification. - Junsheng Wang; Bo Liu; Ying He; Kun Zhan (J. Electronic Imaging, 2019)

Multimodal image seamless fusion. - Kun Zhan; Lingwen Kong; Bo Liu; Ying He (J. Electronic Imaging, 2019)

Zero-shot event detection via event-adaptive concept relevance mining. - Zhihui Li 001; Lina Yao 001; Xiaojun Chang; Kun Zhan; Jiande Sun 001; Huaxiang Zhang 001 (Pattern Recognit., 2019)

Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features. - Kun Zhan; Xiaojun Chang; Junpeng Guan; Ling Chen 006; Zhigang Ma; Yi Yang 001 (IEEE Trans. Cybern., 2019)

Multiview Consensus Graph Clustering. - Kun Zhan; Feiping Nie 001; Jing Wang 023; Yi Yang 001 (IEEE Trans. Image Process., 2019)

Graph Structure Fusion for Multiview Clustering. - Kun Zhan; Chaoxi Niu; Changlu Chen; Feiping Nie 001; Changqing Zhang; Yi Yang 001 (IEEE Trans. Knowl. Data Eng., 2019)

Multiscale dual-level network for hyperspectral image classification. - Ying He; Wei Su 008; Xiyun Li; Kun Zhan (J. Electronic Imaging, 2020)

A Low Temperature Drifting Acoustic Wave Pressure Sensor with an Integrated Vacuum Cavity for Absolute Pressure Sensing. - Tao Wang; Zhengjie Tang; Huamao Lin; Kun Zhan; Jiang Wan; Shihao Wu; Yuandong Gu; Wenbo Luo; Wanli Zhang (Sensors, 2020)

Mutual teaching for graph convolutional networks. - Kun Zhan; Chaoxi Niu (Future Gener. Comput. Syst., 2021)

Making Historical Gyroscopes Alive - 2D and 3D Preservations by Sensor Fusion and Open Data Access. - Dieter Fritsch; Jörg F. Wagner; Beate Ceranski; Sven Simon 001; Maria Niklaus; Kun Zhan; Gasim Mammadov (Sensors, 2021)

Stationary Diffusion State Neural Estimation for Multiview Clustering. - Chenghua Liu; Zhuolin Liao; Yixuan Ma; Kun Zhan (AAAI, 2022)

Eye Disease Diagnosis and Fundus Synthesis: A Large-Scale Dataset and Benchmark. - Xue Xia; Kun Zhan; Ying Li; Guobei Xiao; Jinhua Yan; Zhuxiang Huang; Guofu Huang; Yuming Fang (MMSP, 2022)

Texture-aware Network for Smoke Density Estimation. - Xue Xia; Kun Zhan; Yajing Peng; Yuming Fang (VCIP, 2022)

Hybrid attention network for image captioning. - Wenhui Jiang; Qin Li; Kun Zhan; Yuming Fang; Fei Shen (Displays, 2022)

Curriculum Knowledge Switching for Pancreas Segmentation. - Yumou Tang; Kun Zhan; Zhibo Tian; Mingxuan Zhang; Saisai Wang; Xueming Wen (ICIP, 2023)

CLIP-FG:Selecting Discriminative Image Patches by Contrastive Language-Image Pre-Training for Fine-Grained Image Classification. - Min Yuan; Ningning Lv; Yufei Xie; Fuxiang Lu; Kun Zhan (ICIP, 2023)

Self-Contrastive Graph Diffusion Network. - Yixuan Ma; Kun Zhan (ACM Multimedia, 2023)

Entropy Neural Estimation for Graph Contrastive Learning. - Yixuan Ma; Xiaolin Zhang; Peng Zhang 057; Kun Zhan (ACM Multimedia, 2023)

Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network. - Zhibo Tian; Xiaolin Zhang; Peng Zhang 057; Kun Zhan (ACM Multimedia, 2023)

Unified three-pathway framework for naturalness preservation image enhancement. - Yunliang Qi; Kun Zhan; Meng Lou; Shouliang Li; Zhen Yang; Yide Ma (J. Electronic Imaging, 2023)

Research on plant seeds recognition based on fine-grained image classification. - Min Yuan; Yongkang Dong; Fuxiang Lu; Kun Zhan; Liye Zhu; Jiacheng Shen; Dingbang Ren; Xiaowen Hu; Ningning Lv (J. Electronic Imaging, 2023)

View-Consistent Heterogeneous Network on Graphs With Few Labeled Nodes. - Zhuolin Liao; Xiaolin Zhang; Wei Su 008; Kun Zhan (IEEE Trans. Cybern., 2023)

Lesion-aware network for diabetic retinopathy diagnosis. - Xue Xia; Kun Zhan; Yuming Fang; Wenhui Jiang; Fei Shen (Int. J. Imaging Syst. Technol., 2023)

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models. - Xiaoyu Tian; Junru Gu; Bailin Li; Yicheng Liu; Yang Wang; Zhiyong Zhao; Kun Zhan; Peng Jia; Xianpeng Lang; Hang Zhao (CoRL, 2024)

TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes. - Bu Jin; Yupeng Zheng; Pengfei Li 007; Weize Li 001; Yuhang Zheng; Sujie Hu; Xinyu Liu; Jinwei Zhu; Zhijie Yan; Haiyang Sun; Kun Zhan; Peng Jia; et al. (ECCV (18), 2024)

Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting. - Yunzhi Yan; Haotong Lin; Chenxu Zhou; Weijie Wang; Haiyang Sun; Kun Zhan; Xianpeng Lang; Xiaowei Zhou 001; Sida Peng (ECCV (73), 2024)

InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification. - Qi Han; Zhibo Tian; Chengwei Xia; Kun Zhan (IJCAI, 2024)

Identity Semantic Correspondence for Cloth-Changing Person Re-Identification. - Yongtang Bao; Hao Zheng; Xiaolin Zhang; Kun Zhan; Peng Zhang (IJCNN, 2024)

BEV-CLIP: Multi-modal BEV Retrieval Methodology for Complex Scene in Autonomous Driving. - Dafeng Wei; Tian Gao; Zhengyu Jia; Changwei Cai; Chengkai Hou; Peng Jia; Fu Liu; Kun Zhan; Jingchen Fan; Yixing Zhao; Yang Wang (CoRR, 2024)

Street Gaussians for Modeling Dynamic Urban Scenes. - Yunzhi Yan; Haotong Lin; Chenxu Zhou; Weijie Wang; Haiyang Sun; Kun Zhan; Xianpeng Lang; Xiaowei Zhou 001; Sida Peng (CoRR, 2024)

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models. - Xiaoyu Tian; Junru Gu; Bailin Li; Yicheng Liu; Chenxu Hu; Yang Wang; Kun Zhan; Peng Jia; Xianpeng Lang; Hang Zhao (CoRR, 2024)

Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation. - Enhui Ma; Lijun Zhou; Tao Tang; Zhan Zhang; Dong Han; Junpeng Jiang; Kun Zhan; Peng Jia; Xianpeng Lang; Haiyang Sun; Di Lin 002; Kaicheng Yu (CoRR, 2024)

PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning. - Yupeng Zheng; Zebin Xing; Qichao Zhang; Bu Jin; Pengfei Li 007; Yuhang Zheng; Zhongpu Xia; Kun Zhan; Xianpeng Lang; Yaran Chen; Dongbin Zhao (CoRR, 2024)

UA-Track: Uncertainty-Aware End-to-End 3D Multi-Object Tracking. - Lijun Zhou; Tao Tang; Pengkun Hao; Zihang He; Kalok Ho; Shuo Gu; Wenbo Hou; Zhihui Hao; Haiyang Sun; Kun Zhan; Peng Jia; Xianpeng Lang; et al. (CoRR, 2024)

3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views. - Xiaobiao Du; Haiyang Sun; Shuyun Wang; Zhuojie Wu; Hongwei Sheng; Jiaying Ying; Ming Lu; Tianqing Zhu; Kun Zhan; Xin Yu 002 (CoRR, 2024)

Structure-Aware Consensus Network on Graphs with Few Labeled Nodes. - Shuaike Xu; Xiaolin Zhang; Peng Zhang; Kun Zhan (CoRR, 2024)

DiVE: DiT-based Video Generation with Enhanced Control. - Junpeng Jiang; Gangyi Hong; Lijun Zhou; Enhui Ma; Hengtong Hu; Xia Zhou; Jie Xiang; Fan Liu; Kaicheng Yu; Haiyang Sun; Kun Zhan; Peng Jia; et al. (CoRR, 2024)

Generalizing Motion Planners with Mixture of Experts for Autonomous Driving. - Qiao Sun; Huimin Wang; Jiahao Zhan; Fan Nie; Xin Wen; Leimeng Xu; Kun Zhan; Peng Jia; Xianpeng Lang; Hang Zhao (CoRR, 2024)

High-resolution cloud detection network. - Jingsheng Li; Tianxiang Xue; Jiayi Zhao; Jingmin Ge; Yufang Min; Wei Su; Kun Zhan (J. Electronic Imaging, 2024)

Non-local sparse attention based swin transformer V2 for image super-resolution. - Ningning Lv; Min Yuan; Yufei Xie; Kun Zhan; Fuxiang Lu (Signal Process., 2024)

Benchmarking deep models on retinal fundus disease diagnosis and a large-scale dataset. - Xue Xia; Ying Li; Guobei Xiao; Kun Zhan; Jinhua Yan; Chao Cai; Yuming Fang; Guofu Huang (Signal Process. Image Commun., 2024)

Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion. - Honglei Miao; Fan Ma; Ruijie Quan; Kun Zhan; Yi Yang 001 (AAAI, 2025)

BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving. - Tao Tang; Dafeng Wei; Zhengyu Jia; Tian Gao; Changwei Cai; Chengkai Hou; Peng Jia; Kun Zhan; Haiyang Sun; Jingchen Fan; Yixing Zhao; Xiaodan Liang; et al. (AAAI, 2025)

BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities. - Zhibo Tian; Ruijie Quan; Fan Ma; Kun Zhan; Yi Yang 001 (AAAI, 2025)

Hierarchical Consensus Network for Multiview Feature Learning. - Chengwei Xia; Chaoxi Niu; Kun Zhan (AAAI, 2025)

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration. - Chaojun Ni; Guosheng Zhao; Xiaofeng Wang; Zheng Zhu; Wenkang Qin; Guan Huang 003; Chen Liu; Yuyin Chen; Yida Wang; Xueyang Zhang; Yifei Zhan; Kun Zhan; et al. (CVPR, 2025)

StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models. - Yunzhi Yan; Zhen Xu 008; Haotong Lin; Haian Jin; Haoyu Guo; Yida Wang; Kun Zhan; Xianpeng Lang; Hujun Bao; Xiaowei Zhou 001; Sida Peng (CVPR, 2025)

DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation. - Tianyi Yan; Dongming Wu; Wencheng Han; Junpeng Jiang; Xia Zhou; Kun Zhan; Cheng-Zhong Xu 001; Jianbing Shen (CVPR, 2025)

Domain generalization plant leaf disease recognition: Toward from laboratory to field. - Kun Zhan; Yingqiong Peng; Muxin Liao; Yinglong Wang (Eng. Appl. Artif. Intell., 2025)

Graph-weighted contrastive learning for semi-supervised hyperspectral image classification. - Yuqing Zhang; Qi Han; Ligeng Wang; Kai Cheng; Bo Wang; Kun Zhan (J. Electronic Imaging, 2025)

Finetuning Generative Trajectory Model with Reinforcement Learning from Human Feedback. - Derun Li; Jianwei Ren; Yue Wang 018; Xin Wen; Pengxiang Li; Leimeng Xu; Kun Zhan; Zhongpu Xia; Peng Jia; Xianpeng Lang; Ningyi Xu; Hang Zhao (CoRR, 2025)

BS-Mamba for Black-Soil Area Detection On the Qinghai-Tibetan Plateau. - Xuan Ma; Zewen Lv; Chengcai Ma; Tao Zhang; Yuelan Xin; Kun Zhan (CoRR, 2025)

StyledStreets: Multi-style Street Simulator with Spatial and Temporal Consistency. - Yuyin Chen; Yida Wang; Xueyang Zhang; Kun Zhan; Peng Jia; Yifei Zhan; Xianpeng Lang (CoRR, 2025)

DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer. - Junpeng Jiang; Gangyi Hong; Miao Zhang; Hengtong Hu; Kun Zhan; Rui Shao 001; Liqiang Nie (CoRR, 2025)

PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth. - Bu Jin; Weize Li 001; Baihan Yang; Zhenxin Zhu; Junpeng Jiang; Huan-ang Gao; Haiyang Sun; Kun Zhan; Hengtong Hu; Xueyang Zhang; Peng Jia; Hao Zhao 002 (CoRR, 2025)

TransDiffuser: End-to-end Trajectory Generation with Decorrelated Multi-modal Representation for Autonomous Driving. - Xuefeng Jiang; Yuan Ma; Pengxiang Li; Leimeng Xu; Xin Wen; Kun Zhan; Zhongpu Xia; Peng Jia; Xianpeng Lang; Sheng Sun (CoRR, 2025)

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control. - Anthony Chen; Wenzhao Zheng; Yida Wang; Xueyang Zhang; Kun Zhan; Peng Jia; Kurt Keutzer; Shanghang Zhang (CoRR, 2025)

RoboPearls: Editable Video Simulation for Robot Manipulation. - Tao Tang; Likui Zhang; Youpeng Wen; Kaidong Zhang; Jia-Wang Bian; Xia Zhou; Tianyi Yan; Kun Zhan; Peng Jia; Hefeng Wu; Liang Lin; Xiaodan Liang (CoRR, 2025)

HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity. - Yida Wang; Xueyang Zhang; Kun Zhan; Peng Jia; Xianpeng Lang (CoRR, 2025)

Frequency Regulation for Exposure Bias Mitigation in Diffusion Models. - Meng Yu; Kun Zhan (CoRR, 2025)

DriveAgent-R1: Advancing VLM-based Autonomous Driving with Hybrid Thinking and Active Perception. - Weicheng Zheng; Xiaofei Mao; Nanfei Ye; Pengxiang Li; Kun Zhan; Xianpeng Lang; Hang Zhao (CoRR, 2025)

Adversarial-Guided Diffusion for Multimodal LLM Attacks. - Chengwei Xia; Fan Ma; Ruijie Quan; Kun Zhan; Yi Yang 001 (CoRR, 2025)