Junmin Liu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 73

Top Topics

Negative Matrix Factorization

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng Wang, Yunda Hao
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy. CoRR (2024)
Kun Chen, Junchen Liang, Junmin Liu, Weilin Shen, Zongben Xu, Zhengjian Yao
Entropy regularized fuzzy nonnegative matrix factorization for data clustering. Int. J. Mach. Learn. Cybern. 15 (2) (2024)
Junmin Liu, Yicheng Wang, Jing Ma, Di Han, Yifan Huang
Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation. IEEE Trans. Artif. Intell. 5 (2) (2024)
Yicheng Wang, Feng Liu, Junmin Liu, Zhen Fang, Kai Sun
Exclusive Style Removal for Cross Domain Novel Class Discovery. CoRR (2024)
Chengli Tan, Jiang-She Zhang, Junmin Liu
Understanding Short-Range Memory Effects in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Di Han, Yifan Huang, Junmin Liu, Kai Liao, Kunling Lin
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Xiaoyuan Deng, Jinhai Li, Yuhua Qian, Junmin Liu
An Emerging Incremental Fuzzy Concept-Cognitive Learning Model Based on Granular Computing and Conceptual Knowledge Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8 (3) (2024)
Kai Sun, Jiangshe Zhang, Junmin Liu, Shuang Xu, Xiangyong Cao, Rongrong Fei
Modified Dynamic Routing Convolutional Neural Network for Pan-Sharpening. Remote. Sens. 15 (11) (2023)
Zixiang Zhao, Jiang-She Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu
Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion. CVPR Workshops (2023)
Dianbiao Dong, Zhize Du, Jinchan Min, Runtian Lu, Junmin Liu, Dengxiu Yu
Fuzzy Dual-Hunting Control Based on Auction Algorithm. Int. J. Fuzzy Syst. 25 (7) (2023)
Shijie Li, Junmin Liu, Weilin Shen, Jianyong Sun, Chengli Tan
Robust Teacher: Self-correcting pseudo-label-guided semi-supervised learning for object detection. Comput. Vis. Image Underst. 235 (2023)
Weilin Shen, Junmin Liu, Jinhai Li, Chao Tian
Deep Tensor Attention Prior Network for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Changsheng Zhou, Chao Yuan, Hongxin Wang, Lei Li, Stefan Oehmcke, Junmin Liu, Jigen Peng
Multi-scale pseudo labeling for unsupervised deep edge detection. Knowl. Based Syst. 280 (2023)
Junmin Liu, Tian Tian, Yunxia Liu, Sufeng Hu, Mengyao Li
iTabNet: an improved neural network for tabular data and its application to predict socioeconomic and environmental attributes. Neural Comput. Appl. 35 (15) (2023)
Chengli Tan, Jiangshe Zhang, Junmin Liu
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion. CoRR (2022)
Shuang Xu, Jiangshe Zhang, Jialin Wang, Kai Sun, Chunxia Zhang, Junmin Liu, Junying Hu
A model-driven network for guided image denoising. Inf. Fusion 85 (2022)
Zixiang Zhao, Shuang Xu, Jiangshe Zhang, Chengyang Liang, Chunxia Zhang, Junmin Liu
Efficient and Model-Based Infrared and Visible Image Fusion via Algorithm Unrolling. IEEE Trans. Circuits Syst. Video Technol. 32 (3) (2022)
Yinsong Yan, Junmin Liu, Shuang Xu, Yicheng Wang, Xiangyong Cao
MD³Net: Integrating Model-Driven and Data-Driven Approaches for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Huirong Li, Yuelin Gao, Junmin Liu, Jiangshe Zhang, Chao Li
Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation. Signal Process. Image Commun. 102 (2022)
Junmin Liu, Shijie Li, Changsheng Zhou, Xiangyong Cao, Yong Gao, Bo Wang
SRAF-Net: A Scene-Relevant Anchor-Free Object Detection Network in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yunqiao Feng, Junmin Liu, Kun Chen, Bo Wang, Zixiang Zhao
Optimization Algorithm Unfolding Deep Networks of Detail Injection Model for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Yazhen Wang, Guojun Liu, Rui Zhang, Junmin Liu
A Two-Stage Pansharpening Method for the Fusion of Remote-Sensing Images. Remote. Sens. 14 (5) (2022)
Kai Sun, Jiangshe Zhang, Junmin Liu, Ruixuan Yu, Zengjie Song
DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition. IEEE Trans. Image Process. 30 (2021)
Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang
Deep Gradient Projection Networks for Pan-sharpening. CVPR (2021)
Cong Ma, Jiangshe Zhang, Junmin Liu, Lizhen Ji, Fei Gao
A parallel multi-module deep reinforcement learning algorithm for stock trading. Neurocomputing 449 (2021)
Guang Shi, Jiang-She Zhang, Junmin Liu, Chunxia Zhang, Changsheng Zhou, Shuyun Yang
Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59 (12) (2021)
Chengli Tan, Jiangshe Zhang, Junmin Liu
Understanding Long Range Memory Effects in Deep Neural Networks. CoRR (2021)
Di Han, Yifan Huang, Xiaotian Jing, Junmin Liu
AND: Effective Coupling of Accuracy, Novelty and Diversity in the Recommender System. MSN (2021)
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chun-Xia Zhang, Junmin Liu
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CoRR (2021)
Junmin Liu, Changsheng Zhou, Rongrong Fei, Chunxia Zhang, Jiangshe Zhang
Pansharpening Via Neighbor Embedding of Spatial Details. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang
Deep Gradient Projection Networks for Pan-sharpening. CoRR (2021)
Chunxia Zhang, Junmin Liu, Guanwei Wang, Guanghai Li
DPP-VSE: Constructing a variable selection ensemble by determinantal point processes. Expert Syst. Appl. 178 (2021)
Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chunxia Zhang
Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information. CoRR (2021)
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. ICME (2021)
Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chunxia Zhang
Deep Convolutional Sparse Coding Network For Pansharpening With Guidance Of Side Information. ICME (2021)
Junmin Liu, Zhuangzhuang Xie, Chunxia Zhang, Guang Shi
A novel method for Mandarin speech synthesis by inserting prosodic structure prediction into Tacotron2. Int. J. Mach. Learn. Cybern. 12 (10) (2021)
Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chunxia Zhang, Jiangshe Zhang
MFIF-GAN: A new generative adversarial network for multi-focus image fusion. Signal Process. Image Commun. 96 (2021)
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang
FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. CoRR (2021)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
Bayesian Fusion for Infrared and Visible Images. CoRR (2020)
Zixiang Zhao, Shuang Xu, Rui Feng, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method. CoRR (2020)
Shuang Xu, Ouafa Amira, Junmin Liu, Chun-Xia Zhang, Jiangshe Zhang, Guanghai Li
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss. IEEE Trans. Geosci. Remote. Sens. 58 (7) (2020)
Chengyang Liang, Zixiang Zhao, Junmin Liu, Jiangshe Zhang
Domain Adaptive Object Detection via Feature Separation and Alignment. CoRR (2020)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling. CoRR (2020)
Shuang Xu, Zixiang Zhao, Yicheng Wang, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
Deep Convolutional Sparse Coding Networks for Image Fusion. CoRR (2020)
Wenjie Xiong, Yi Luo, Junmin Liu, Zebin Huang, Peipei Wang, Gaiqing Zhao, Ying Li, Yanxia Gao, Shuqing Chen, Dianyuan Fan
Convolutional Neural Network Assisted Optical Orbital Angular Momentum Identification of Vortex Beams. IEEE Access 8 (2020)
Jiangshe Zhang, Junying Hu, Junmin Liu
Neural network with multiple connection weights. Pattern Recognit. 107 (2020)
Shuang Xu, Xiaoli Wei, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
MFFW: A new dataset for multi-focus image fusion. CoRR (2020)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. IJCAI (2020)
Jiangshe Zhang, Cong Ma, Junmin Liu, Guang Shi
Penetrating the influence of regularizations on neural network based on information bottleneck theory. Neurocomputing 393 (2020)
Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Rongrong Fei, Shuang Xu
PercepPan: Towards Unsupervised Pan-Sharpening Based on Perceptual Loss. Remote. Sens. 12 (14) (2020)
Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Guang Shi, Junying Hu
Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 58 (11) (2020)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. CoRR (2020)
Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chunxia Zhang, Jiangshe Zhang
MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion. CoRR (2020)
Junmin Liu, Yunqiao Feng, Changsheng Zhou, Chunxia Zhang
PWNet: An Adaptive Weight Network for the Fusion of Panchromatic and Multispectral Images. Remote. Sens. 12 (17) (2020)
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
Bayesian fusion for infrared and visible images. Signal Process. 177 (2020)
Xuehu Zhu, Yue Kang, Junmin Liu
Estimation of the Number of Endmembers via Thresholding Ridge Ratio Criterion. IEEE Trans. Geosci. Remote. Sens. 58 (1) (2020)
Ying Li, Chaofeng Wang, Xiaoke Zhang, Junmin Liu, Yanliang He, Jiangnan Xiao, Yanxia Gao, Shuqing Chen, Xiaomin Zhang, Dianyuan Fan
Optical Orbital Angular Momentum Shift-Keying Communication Using Direct Demodulation. IEEE Access 7 (2019)
Peipei Wang, Xiaomin Zhang, Dianyuan Fan, Junmin Liu, Lijuan Sheng, Yanliang He, Wenjie Xiong, Zebin Huang, Xinxing Zhou, Ying Li, Shuqing Chen
Convolutional Neural Network-Assisted Optical Orbital Angular Momentum Recognition and Communication. IEEE Access 7 (2019)
Kai Sun, Jiangshe Zhang, Hongwei Yong, Junmin Liu
FPCANet: Fisher discrimination for Principal Component Analysis Network. Knowl. Based Syst. 166 (2019)
Zengjie Song, Jiangshe Zhang, Guang Shi, Junmin Liu
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Bao Guo, Chunxia Zhang, Junmin Liu, Xiaoyi Ma
Improving text classification with weighted word embeddings via a multi-channel TextCNN model. Neurocomputing 363 (2019)
Junmin Liu, Jing Ma, Rongrong Fei, Huirong Li, Jiangshe Zhang
Enhanced Back-Projection as Postprocessing for Pansharpening. Remote. Sens. 11 (6) (2019)
Rongrong Fei, Jiangshe Zhang, Junmin Liu, Fang Du, Peiju Chang, Junying Hu
Convolutional Sparse Representation of Injected Details for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 16 (10) (2019)
Changsheng Zhou, Jiangshe Zhang, Junmin Liu
Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks. Knowl. Based Syst. 161 (2018)
Junmin Liu, Spencer D. Christiansen, Maria Drangova
Single multi-echo GRE acquisition with short and long echo spacing for simultaneous quantitative mapping of fat fraction, B0 inhomogeneity, and susceptibility. NeuroImage 172 (2018)
Junmin Liu, Yongchang Hui, Peng Zan
Locally Linear Detail Injection for Pansharpening. IEEE Access 5 (2017)
Huirong Li, Jiang-She Zhang, Junying Hu, Chunxia Zhang, Junmin Liu
Graph-based discriminative concept factorization for data representation. Knowl. Based Syst. 118 (2017)
Lei Gai, Junmin Liu, Xiaoming Wang, Jian Li
Querying RDF graphs over partitioned indexes. ICNC-FSKD (2017)
Huirong Li, Jiangshe Zhang, Guang Shi, Junmin Liu
Graph-based discriminative nonnegative matrix factorization with label information. Neurocomputing 266 (2017)
Huirong Li, Jiangshe Zhang, Junmin Liu
Graph-regularized CF with local coordinate for image representation. J. Vis. Commun. Image Represent. 49 (2017)
Shengcai Liu, Jiang-She Zhang, Junmin Liu, Qingyan Yin
group sparse regularization for compressive sensing. Signal Image Video Process. 10 (5) (2016)
Huirong Li, Jiang-She Zhang, Junmin Liu
Class-driven concept factorization for image representation. Neurocomputing 190 (2016)
Huirong Li, Jiang-She Zhang, Changpeng Wang, Junmin Liu
Manifold regularized non-negative matrix factorization with label information. J. Electronic Imaging 25 (2) (2016)
Jiang-She Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng
Enhancing performance of the backpropagation algorithm via sparse response regularization. Neurocomputing 153 (2015)
Junmin Liu, Yijun Chen, Jiang-She Zhang, Zongben Xu
Enhancing Low-Rank Subspace Clustering by Manifold Regularization. IEEE Trans. Image Process. 23 (9) (2014)
Junmin Liu, Jiang-She Zhang
Spectral Unmixing via Compressive Sensing. IEEE Trans. Geosci. Remote. Sens. 52 (11) (2014)
Junmin Liu, Jiang-She Zhang
A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 50 (1) (2012)
Junmin Liu, Jiangshe Zhang, Yuelin Gao, Chunxia Zhang, Zhihua Li
Enhancing Spectral Unmixing by Local Neighborhood Weights. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (5) (2012)
Jie Zheng, Julia Stoyanovich, Elisabetta Manduchi, Junmin Liu, Christian J. Stoeckert Jr.
AnnotCompute: annotation-based exploration and meta-analysis of genomics experiments. Database J. Biol. Databases Curation 2011 (2011)
Ravi Shankar, Helen E. Parkinson, Tony Burdett, Emma Hastings, Junmin Liu, Michael Miller, Rashmi Srinivasa, Joseph White, Alvis Brazma, Gavin Sherlock, Christian J. Stoeckert Jr., Catherine A. Ball
Annotare - a tool for annotating high-throughput biomedical investigations and resulting data. Bioinform. 26 (19) (2010)
Joan M. Mazzarelli, John Brestelli, Regina K. Gorski, Junmin Liu, Elisabetta Manduchi, Deborah F. Pinney, Jonathan Schug, Peter White, Klaus H. Kaestner, Christian J. Stoeckert Jr.
EPConDB: a web resource for gene expression related to pancreatic development, beta-cell function and diabetes. Nucleic Acids Res. 35 (Database-Issue) (2007)
Tim F. Rayner, Philippe Rocca-Serra, Paul T. Spellman, Helen C. Causton, Anna Farne, Ele Holloway, Rafael A. Irizarry, Junmin Liu, Donald Maier, Michael Miller, Kjell Petersen, John Quackenbush, Gavin Sherlock, Christian J. Stoeckert Jr., Joseph White, Patricia L. Whetzel, Farrell Wymore, Helen E. Parkinson, Ugis Sarkans, Catherine A. Ball, Alvis Brazma
A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB. BMC Bioinform. 7 (2006)
Gregory R. Grant, Junmin Liu, Christian J. Stoeckert Jr.
A practical false discovery rate approach to identifying patterns of differential expression in microarray data. Bioinform. 21 (11) (2005)
Elisabetta Manduchi, Gregory R. Grant, H. He, Junmin Liu, Matthew D. Mailman, Angel D. Pizarro, Patricia L. Whetzel, Christian J. Stoeckert Jr.
RAD and the RAD Study-Annotator: an approach to collection, organization and exchange of all relevant information for high-throughput gene expression studies. Bioinform. 20 (4) (2004)