Applications of Internet of Things in the Facility Agriculture. - Linli Zhou; Liangtu Song; Chengjun Xie; Jie Zhang 033 (CCTA (1), 2012)

Multiple instance learning tracking method with local sparse representation. - Chengjun Xie; Jieqing Tan; Peng Chen 001; Jie Zhang 033; Lei He 002 (IET Comput. Vis., 2013)

Collaborative object tracking model with local sparse representation. - Chengjun Xie; Jieqing Tan; Peng Chen 001; Jie Zhang 033; Lei He 002 (J. Vis. Commun. Image Represent., 2014)

Multi-scale patch-based sparse appearance model for robust object tracking. - Chengjun Xie; Jieqing Tan; Peng Chen 001; Jie Zhang 033; Lei He 002 (Mach. Vis. Appl., 2014)

Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning. - Chengjun Xie; Jie Zhang 033; Rui Li 027; Jinyan Li 001; Peilin Hong; Junfeng Xia; Peng Chen 001 (Comput. Electron. Agric., 2015)

Super-resolution by polar Newton-Thiele's rational kernel in centralized sparsity paradigm. - Lei He 002; Jieqing Tan; Zhuo Su 001; Xiaonan Luo; Chengjun Xie (Signal Process. Image Commun., 2015)

Corrigendum to "Super-resolution by polar Newton-Thiele's rational kernel in centralized sparsity paradigm" [Signal Processing: Image Communication, 31(2015), pp 86-99]. - Lei He 002; Jieqing Tan; Zhuo Su 001; Xiaonan Luo; Chengjun Xie (Signal Process. Image Commun., 2015)

A novel super-resolution image and video reconstruction approach based on Newton-Thiele's rational kernel in sparse principal component analysis. - Lei He 002; Jieqing Tan; Xing Huo; Chengjun Xie (Multim. Tools Appl., 2017)

Robust object tracking via multi-scale patch based sparse coding histogram. - Zhongpei Wang; Hao Wang 008; Jieqing Tan; Peng Chen 001; Chengjun Xie (Multim. Tools Appl., 2017)

Multi-level learning features for automatic classification of field crop pests. - Chengjun Xie; Rujing Wang; Jie Zhang 033; Peng Chen 001; Wei Dong; Rui Li 027; Tianjiao Chen; Hongbo Chen (Comput. Electron. Agric., 2018)

Super-resolution reconstruction based on continued fractions interpolation kernel in the polar coordinates. - Lei He 002; Yan Xing 002; Jieqing Tan; Min Hu; Chengjun Xie (J. Electronic Imaging, 2018)

Insect Detection and Classification Based on an Improved Convolutional Neural Network. - DeNan Xia; Peng Chen 001; Bing Wang 004; Jun Zhang 011; Chengjun Xie (Sensors, 2018)

Support vector correlation filter with long-term tracking. - Zhongpei Wang; Hao Wang 008; Baofu Fang; Chengjun Xie (Signal Image Video Process., 2018)

Synchronization in mutual-coupled temporal Boolean networks. - Qiang Wei; Chengjun Xie (Trans. Inst. Meas. Control, 2018)

Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring. - Liu Liu 012; Rujing Wang; Chengjun Xie; Po Yang 001; Sud Sudirman; Fangyuan Wang 001; Rui Li 027 (INDIN, 2019)

An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field. - Rui Li 027; Xiufang Jia; Min Hu; Man Zhou; Dengshan Li; Wancai Liu; Rujing Wang; Jie Zhang 033; Chengjun Xie; Liu Liu 012; Fangyuan Wang 001; Hongbo Chen; et al. (IEEE Access, 2019)

PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. - Liu Liu 012; Rujing Wang; Chengjun Xie; Po Yang 001; Fangyuan Wang 001; Sud Sudirman; Wancai Liu (IEEE Access, 2019)

A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data. - Jun Zhang 034; ZhongCheng Wu; Fang Li; Chengjun Xie; Tingting Ren; Jie Chen 035; Liu Liu 012 (Sensors, 2019)

An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild. - Yushan Zhao; Liu Liu 012; Chengjun Xie; Rujing Wang; Fangyuan Wang 001; Yingqiao Bu; Shunxiang Zhang (Appl. Soft Comput., 2020)

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation. - Peng Chen 001; Qingxin Xiao; Jun Zhang 011; Chengjun Xie; Bing Wang 004 (Comput. Electron. Agric., 2020)

AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection. - Lin Jiao; Shifeng Dong; Shengyu Zhang; Chengjun Xie; Hongqiang Wang (Comput. Electron. Agric., 2020)

Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition. - Fangyuan Wang 001; Rujing Wang; Chengjun Xie; Po Yang 001; Liu Liu 012 (Comput. Electron. Agric., 2020)

C-FCN: Corners-based fully convolutional network for visual object detection. - Lin Jiao; Rujing Wang; Chengjun Xie (Multim. Tools Appl., 2020)

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network. - Dengshan Li; Rujing Wang; Chengjun Xie; Liu Liu 012; Jie Zhang 033; Rui Li 027; Fangyuan Wang 001; Man Zhou; Wancai Liu (Sensors, 2020)

S-RPN: Sampling-balanced region proposal network for small crop pest detection. - Rujing Wang; Lin Jiao; Chengjun Xie; Peng Chen 001; Jianming Du; Rui Li 027 (Comput. Electron. Agric., 2021)

Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment. - Fangyuan Wang 001; Rujing Wang; Chengjun Xie; Jie Zhang 033; Rui Li 027; Liu Liu 012 (Comput. Electron. Agric., 2021)

A stepped sampling method for video detection using LSTM. - Dengshan Li; Rujing Wang; Chengjun Xie (CoRR, 2021)

Recognition and counting of wheat mites in wheat fields by a three-step deep learning method. - Peng Chen 001; Weilu Li; Sijie Yao; Chun Ma; Jun Zhang 011; Bing Wang 004; Chunhou Zheng 001; Chengjun Xie; Dong Liang (Neurocomputing, 2021)

ReinforceNet: A reinforcement learning embedded object detection framework with region selection network. - Man Zhou; Rujing Wang; Chengjun Xie; Liu Liu 012; Rui Li 027; Fangyuan Wang 001; Dengshan Li (Neurocomputing, 2021)

Learning region-guided scale-aware feature selection for object detection. - Liu Liu 012; Rujing Wang; Chengjun Xie; Rui Li 027; Fangyuan Wang 001; Man Zhou; Yue Teng (Neural Comput. Appl., 2021)

AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild. - Rujing Wang; Liu Liu 012; Chengjun Xie; Po Yang 001; Rui Li 027; Man Zhou (Sensors, 2021)

Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features. - Liu Liu 012; Chengjun Xie; Rujing Wang; Po Yang 001; Sud Sudirman; Jie Zhang 033; Rui Li 027; Fangyuan Wang 001 (IEEE Trans. Ind. Informatics, 2021)

Memory-Augmented Model-Driven Network for Pansharpening. - Keyu Yan; Man Zhou; Li Zhang 104; Chengjun Xie (ECCV (19), 2022)

Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network. - Keyu Yan; Man Zhou; Jie Huang 017; Feng Zhao 004; Chengjun Xie; Chongyi Li; Danfeng Hong (NeurIPS, 2022)

Detection of Pin Defects in Transmission Lines Based on Dynamic Receptive Field. - Zhenyu Zhang; Jianming Du; Shaowei Qian; Chengjun Xie (PRCV (4), 2022)

Research on Lossless Compression Coding Algorithm of N-Band Parametric Spectral Integer Reversible Transformation Combined With the Lifting Scheme for Hyperspectral Images. - Changcheng Li; Deyun Chen; Chengjun Xie; Yilong Gao; Jinrui Liu (IEEE Access, 2022)

Adaptive feature fusion pyramid network for multi-classes agricultural pest detection. - Lin Jiao; Chengjun Xie; Peng Chen 001; Jianming Du; Rui Li 027; Jie Zhang 033 (Comput. Electron. Agric., 2022)

AM-ResNet: Low-energy-consumption addition-multiplication hybrid ResNet for pest recognition. - Li Zhang 104; Jianming Du; Shifeng Dong; Fenmei Wang; Chengjun Xie; Rujing Wang (Comput. Electron. Agric., 2022)

Towards densely clustered tiny pest detection in the wild environment. - Jianming Du; Liu Liu 012; Rui Li 027; Lin Jiao; Chengjun Xie; Rujing Wang (Neurocomputing, 2022)

A global activated feature pyramid network for tiny pest detection in the wild. - Liu Liu 012; Rujing Wang; Chengjun Xie; Rui Li 027; Fangyuan Wang 001; Long Qi (Mach. Vis. Appl., 2022)

ARFNet: adaptive receptive field network for detecting insulator self-explosion defects. - Ke Zhang; Shaowei Qian; Jianan Zhou 001; Chengjun Xie; Jianming Du; Tao Yin (Signal Image Video Process., 2022)

When Pansharpening Meets Graph Convolution Network and Knowledge Distillation. - Keyu Yan; Man Zhou; Liu Liu 012; Chengjun Xie; Danfeng Hong (IEEE Trans. Geosci. Remote. Sens., 2022)

Linking Garment with Person via Semantically Associated Landmarks for Virtual Try-On. - Keyu Yan; Tingwei Gao; Hui Zhang; Chengjun Xie (CVPR, 2023)

Pyramid Dual Domain Injection Network for Pan-sharpening. - Xuanhua He; Keyu Yan; Rui Li 027; Chengjun Xie; Jie Zhang 033; Man Zhou (ICCV, 2023)

PAN-Guided Band-Aware Multi-Spectral Feature Enhancement for Pan-Sharpening. - Man Zhou; Keyu Yan; Xueyang Fu; Aiping Liu; Chengjun Xie (IEEE Trans. Computational Imaging, 2023)

Multiscale Dual-Domain Guidance Network for Pan-Sharpening. - Xuanhua He; Keyu Yan; Jie Zhang 033; Rui Li 027; Chengjun Xie; Man Zhou; Danfeng Hong (IEEE Trans. Geosci. Remote. Sens., 2023)

An effective pest detection method with automatic data augmentation strategy in the agricultural field. - Shaowei Qian; Jianming Du; Jianan Zhou 001; Chengjun Xie; Lin Jiao; Rui Li 027 (Signal Image Video Process., 2023)

AE-FPN: adaptive enhance feature learning for detecting wire defects. - Hui Zhang; Jianming Du; Chengjun Xie; Jie Zhang 033; Shaowei Qian; Rui Li 027 (Signal Image Video Process., 2023)

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain. - Xuanhua He; Tao Hu; Guoli Wang 004; Zejin Wang; Run Wang; Qian Zhang 009; Keyu Yan; Ziyi Chen; Rui Li 027; Chengjun Xie; Jie Zhang 033; Man Zhou (AAAI, 2024)

Frequency-Adaptive Pan-Sharpening with Mixture of Experts. - Xuanhua He; Keyu Yan; Rui Li 027; Chengjun Xie; Jie Zhang 033; Man Zhou (AAAI, 2024)

Frequency Decomposition-Driven Network for JPEG Artifacts Removal. - Ke Cao; Xuanhua He; Keyu Yan; Tao Hu; Rui Li 027; Chengjun Xie; Jie Zhang 033 (ICME, 2024)

Auto-adjustment label assignment-based convolutional neural network for oriented wheat diseases detection. - Haiyun Liu; Hongbo Chen; Jianming Du; Chengjun Xie; Qiong Zhou; Rujing Wang; Lin Jiao (Comput. Electron. Agric., 2024)

Pan-Mamba: Effective pan-sharpening with State Space Model. - Xuanhua He; Ke Cao; Keyu Yan; Rui Li 027; Chengjun Xie; Jie Zhang 033; Man Zhou (CoRR, 2024)

Training-Free Large Model Priors for Multiple-in-One Image Restoration. - Xuanhua He; Lang Li; Yingying Wang 005; Hui Zheng 003; Ke Cao; Keyu Yan; Rui Li 027; Chengjun Xie; Jie Zhang 033; Man Zhou (CoRR, 2024)

Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion. - Ke Cao; Xuanhua He; Tao Hu; Chengjun Xie; Jie Zhang 033; Man Zhou; Danfeng Hong (CoRR, 2024)

Pan-Sharpening With Wavelet-Enhanced High-Frequency Information. - Jie Zhang 033; Xuanhua He; Keyu Yan; Ke Cao; Rui Li 027; Chengjun Xie; Man Zhou; Danfeng Hong (IEEE Trans. Geosci. Remote. Sens., 2024)

A fine-tuned multimodal large model for power defect image-text question-answering. - Qiqi Wang 013; Jie Zhang 033; Jianming Du; Ke Zhang; Rui Li 027; Feng Zhao; Le Zou; Chengjun Xie (Signal Image Video Process., 2024)

Pan-Mamba: Effective pan-sharpening with state space model. - Xuanhua He; Ke Cao; Jie Zhang 033; Keyu Yan; Yingying Wang 005; Rui Li 027; Chengjun Xie; Danfeng Hong; Man Zhou (Inf. Fusion, 2025)

Pan-Sharpening via Causal-Aware Feature Distribution Calibration. - Xueheng Li; Tao Hu; Ke Cao; Jie Zhang 033; Chengjun Xie; Man Zhou; Danfeng Hong (IEEE Trans. Geosci. Remote. Sens., 2025)

Frequency Decoupled Domain-Irrelevant Feature Learning for Pan-Sharpening. - Jie Zhang 033; Ke Cao; Keyu Yan; Yunlong Lin; Xuanhua He; Yingying Wang 005; Rui Li 027; Chengjun Xie; Jun Zhang 034; Man Zhou (IEEE Trans. Circuits Syst. Video Technol., 2025)

O2-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering. - Jianbiao Mei; Tao Hu; Daocheng Fu; Licheng Wen; Xuemeng Yang; Rong Wu; Pinlong Cai; Xinyu Cai; Xing Gao 005; Yu Yang; Chengjun Xie; Botian Shi; et al. (CoRR, 2025)