Extended Functions of Multiple Instances for target characterization. - Alina Zare; Changzhe Jiao (WHISPERS, 2014)

Heart beat characterization from ballistocardiogram signals using extended functions of multiple instances. - Changzhe Jiao; Princess Lyons; Alina Zare; Licet Rosales; Marjorie Skubic (EMBC, 2016)

Multiple Instance Dictionary Learning using Functions of Multiple Instances. - Changzhe Jiao; Alina Zare (ICPR, 2016)

Multiple Instance Hyperspectral Target Characterization. - Alina Zare; Changzhe Jiao; Taylor C. Glenn (CoRR, 2016)

Multiple instance hybrid estimator for learning target signatures. - Changzhe Jiao; Alina Zare (IGARSS, 2017)

Multiple Instance Hybrid Estimator for Hyperspectral Target Characterization and Sub-pixel Target Detection. - Changzhe Jiao; Alina Zare; Ronald G. McGarvey (CoRR, 2017)

Discriminative Multiple Instance Hyperspectral Target Characterization. - Alina Zare; Changzhe Jiao; Taylor C. Glenn (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Complex Scene Classification of PoLSAR Imagery Based on a Self-Paced Learning Approach. - Wenshuai Chen; Shuiping Gou; Xinlin Wang; Licheng Jiao; Changzhe Jiao; Alina Zare (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring From Ballistocardiograms. - Changzhe Jiao; Bo Yu Su; Princess Lyons; Alina Zare; K. C. Ho 001; Marjorie Skubic (IEEE Trans. Biomed. Eng., 2018)

Multi-Objective Evolutionary Metric Learning for Image Retrieval Using Convolutional Neural Network Features. - Xu Tang; Handing Wang; Changzhe Jiao (CEC, 2019)

Polsar Land Cover Classification via Tensorial Embedding Methods. - Bo Ren 001; Biao Hou; Jocelyn Chanussot; Changzhe Jiao; Xiangrong Zhang (IGARSS, 2019)

Remote Sensing Image Retrieval Based on Semi-Supervised Deep Hashing Learning. - Xu Tang; Chao Liu 042; Xiangrong Zhang; Jingjing Ma 001; Changzhe Jiao; Licheng Jiao (IGARSS, 2019)

Hyperspectral Target Detection Via Deep Multiple Instance Self-Attention Neural Network. - Xiuxiu Wang; Xiaoying Chen; Shuiping Gou; Chao Chen 040; Yuanbo Chen; Xu Tang; Changzhe Jiao (IGARSS, 2019)

Self-Paced Convolutional Neural Network for PolSAR Images Classification. - Changzhe Jiao; Xinlin Wang; Shuiping Gou; Wenshuai Chen; Debo Li; Chao Chen 040; Xiaofeng Li 001 (Remote. Sens., 2019)

Evolutionary Optimized Multiple Instance Concept Learning for Beat-to-Beat Heart Rate Estimation from Electrocardiograms. - Jiaxin Cheng; Jun Zhong; Handing Wang; Xu Tang; Changzhe Jiao; Hong Zhou (CISP-BMEI, 2020)

Heartbeat Detection and Rate Estimation from Ballistocardiograms using the Gated Recurrent Unit Network. - Dong Hai; Chao Chen 040; Ruhan Yi; Shuiping Gou; Bo Yu Su; Changzhe Jiao; Marjorie Skubic (EMBC, 2020)

Hyperspectral Target Detection via Multiple Instance LSTM Target Localization Network. - Xiaoying Chen; Xiuxiu Wang; Chubing Guo; Chao Chen 040; Shuiping Gou; Tao Yu; Changzhe Jiao (IGARSS, 2020)

Multiple Instance Constrained Energy Minimization for Discriminative Hyperspectral Target Characterization. - Changzhe Jiao; Bo Yang 047; Jinjian Wu (IGARSS, 2021)

A deep fusion framework for unlabeled data-driven tumor recognition. - Xiaohui Yang; Wenming Wu; Licheng Jiao; Changzhe Jiao; Zhicheng Jiao (Pattern Recognit., 2021)

Convolutional Autoencoding and Gaussian Mixture Clustering for Unsupervised Beat-to-Beat Heart Rate Estimation of Electrocardiograms from Wearable Sensors. - Jun Zhong; Dong Hai; Jiaxin Cheng; Changzhe Jiao; Shuiping Gou; Yongfeng Liu; Hong Zhou; Wenliang Zhu (Sensors, 2021)

Non-Invasive Heart Rate Estimation From Ballistocardiograms Using Bidirectional LSTM Regression. - Changzhe Jiao; Chao Chen 040; Shuiping Gou; Dong Hai; Bo Yu Su; Marjorie Skubic; Licheng Jiao; Alina Zare; K. C. Ho 001 (IEEE J. Biomed. Health Informatics, 2021)

Weakly Supervised Liver Tumor Segmentation Based on Anchor Box and Adversarial Complementary Learning. - Mengyao Fan; Haofeng Liu; Zhenyu Zhu; Changzhe Jiao; Shuiping Gou (ICIS, 2022)

Hyperspectral Target Detection via Ensemble Learning Deep Multiple Instance Neural Network. - Jiaming Li; Zhe Li; Lirong Liu; Changzhe Jiao (IGARSS, 2022)

Self-Paced Feature Attention Fusion Network for Concealed Object Detection in Millimeter-Wave Image. - Xinlin Wang; Shuiping Gou; Jichao Li; Yinghai Zhao; Zhen Liu; Changzhe Jiao; Shasha Mao (IEEE Trans. Circuits Syst. Video Technol., 2022)

Discriminative Multiple-Instance Hyperspectral Subpixel Target Characterization. - Changzhe Jiao; Bo Yang 047; Qi Wang 053; Guozhen Wang; Jinjian Wu (IEEE Trans. Geosci. Remote. Sens., 2022)

A Siamese Network for Semantic Change Detection Based on Multiscale Context Fusion. - Chang Li; Rongfang Wang; Jia-Wei Chen; Chunlei Huo; Yi Niu; Changzhe Jiao (IGARSS, 2023)

Hyperspectral Target Detection via Co-Teaching Multiple Instance Neural Network with Deterministic Annealing Algorithm. - Lirong Liu; Changzhe Jiao; Jiaming Li; Chao Chen 040 (IGARSS, 2023)

Semantic modeling of hyperspectral target detection with weak labels. - Changzhe Jiao; Bo Yang 047; Lirong Liu; Chao Chen 040; Xiaoying Chen; Wensha Yang; Licheng Jiao (Signal Process., 2023)

₁ Sparsity-Regularized Attention Multiple-Instance Network for Hyperspectral Target Detection. - Changzhe Jiao; Chao Chen 040; Shuiping Gou; Xiuxiu Wang; Bo Yang 047; Xiaoying Chen; Licheng Jiao (IEEE Trans. Cybern., 2023)

Multiple-Instance Metric Learning Network for Hyperspectral Target Detection. - Bo Yang 047; Yi He; Changzhe Jiao; Xiao Pan; Guozhen Wang; Lei Wang; Jinjian Wu (IEEE Trans. Geosci. Remote. Sens., 2023)

Multi-Excitation Enhanced Multi-Feature Fusion Network for Hyperspectral and LiDAR Data Classification. - Lei Wang; Libin Sun; Xiao Pan; Bo Yang 047; Rongfang Wang; Changzhe Jiao (IGARSS, 2024)

Block Pruning And Collaborative Distillation For Image Classification Of Remote Sensing. - Xiaokai Wang; Rongfang Wang; Changzhe Jiao; Yi Niu; Caihong Mu (IGARSS, 2024)

Hyperspectral Target Detection via Multi-Instance Self-Attention Semantic Feature Extraction. - Minyan Wang; Bo Yang 047; Han Zhang; Chengyuan Wang; Xiaojie Jiang; Changzhe Jiao (IGARSS, 2024)

Disentangling Identity Features from Interference Factors for Cloth-Changing Person Re-identification. - Yubo Li; De Cheng; Chaowei Fang; Changzhe Jiao; Nannan Wang 001; Xinbo Gao 001 (ACM Multimedia, 2024)

Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection. - Ying Yang 020; De Cheng; Chaowei Fang; Yubiao Wang; Changzhe Jiao; Lechao Cheng; Nannan Wang 001; Xinbo Gao 001 (NeurIPS, 2024)

Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection. - Ying Yang 020; De Cheng; Chaowei Fang; Yubiao Wang; Changzhe Jiao; Lechao Cheng; Nannan Wang 001 (CoRR, 2024)

Few-Shot MS and PAN Joint Classification With Improved Cross-Source Contrastive Learning. - Hao Zhu 009; Pute Guo; Biao Hou; Xiaotong Li; Changzhe Jiao; Bo Ren 001; Licheng Jiao; Shuang Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

ConvGRU-Based Multiscale Frequency Fusion Network for PAN-MS Joint Classification. - Hao Zhu 009; Xiaoyu Yi 002; Xiaotong Li; Biao Hou; Changzhe Jiao; Wenping Ma 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

A Semantically Nonredundant Continuous-Scale Feature Network for Panchromatic and Multispectral Classification. - Hao Zhu 009; Wenhao Zhao; Xiaotong Li; Biao Hou; Changzhe Jiao; Zhongle Ren; Wenping Ma 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification. - Xiao Pan; Changzhe Jiao; Bo Yang 047; Hao Zhu 009; Jinjian Wu (Neural Networks, 2025)

Proxy-Enhanced Prototype Memory Network for Weakly Supervised Hyperspectral Target Detection. - Bo Yang 047; Jinjian Wu; Changzhe Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

Self-Supervised, Non-Contact Heartbeat Detection Based on Ballistocardiograms Utilizing Physiological Information Guidance. - Changzhe Jiao; Aoyu Yang; Hantao Zhao; Ruhan Yi; Shuiping Gou; Yu Sha; Wanshun Wen; Licheng Jiao; Marjorie Skubic (IEEE J. Biomed. Health Informatics, 2025)

Variational Multiple-Instance Learning With Embedding Correlation Modeling for Hyperspectral Target Detection. - Bo Yang 047; Changzhe Jiao; Jinjian Wu; Leida Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Softmatch distance: A novel distance for weakly-supervised trend change detection in bi-temporal images. - Yuqun Yang; Xu Tang; Xiangrong Zhang; Changzhe Jiao; Jingjing Ma 001; Licheng Jiao (Pattern Recognit., 2026)