Junmin Liu

According to our database, Junmin Liu authored at least 75 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias.

Di Han, Yifan Huang, Junmin Liu, Kai Liao, Kunling Lin

ACM Trans. Knowl. Discov. Data, April, 2024

Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation.

Junmin Liu, Yicheng Wang, Jing Ma, Di Han, Yifan Huang

IEEE Trans. Artif. Intell., February, 2024

Entropy regularized fuzzy nonnegative matrix factorization for data clustering.

Kun Chen, Junchen Liang, Junmin Liu, Weilin Shen, Zongben Xu, Zhengjian Yao

Int. J. Mach. Learn. Cybern., February, 2024

Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy.

Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng Wang, Yunda Hao

CoRR, 2024

2023

Multi-scale pseudo labeling for unsupervised deep edge detection.

Changsheng Zhou, Chao Yuan, Hongxin Wang, Lei Li, Stefan Oehmcke, Junmin Liu, Jigen Peng

Knowl. Based Syst., November, 2023

Fuzzy Dual-Hunting Control Based on Auction Algorithm.

Dianbiao Dong, Zhize Du, Jinchan Min, Runtian Lu, Junmin Liu, Dengxiu Yu

Int. J. Fuzzy Syst., October, 2023

Robust Teacher: Self-correcting pseudo-label-guided semi-supervised learning for object detection.

Shijie Li, Junmin Liu, Weilin Shen, Jianyong Sun, Chengli Tan

Comput. Vis. Image Underst., October, 2023

iTabNet: an improved neural network for tabular data and its application to predict socioeconomic and environmental attributes.

Junmin Liu, Tian Tian, Yunxia Liu, Sufeng Hu, Mengyao Li

Neural Comput. Appl., May, 2023

Deep Tensor Attention Prior Network for Hyperspectral Image Denoising.

Weilin Shen, Junmin Liu, Jinhai Li, Chao Tian

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Modified Dynamic Routing Convolutional Neural Network for Pan-Sharpening.

Kai Sun, Jiangshe Zhang, Junmin Liu, Shuang Xu, Xiangyong Cao, Rongrong Fei

Remote. Sens., 2023

Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion.

Zixiang Zhao, Jiang-She Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MD³Net: Integrating Model-Driven and Data-Driven Approaches for Pansharpening.

Yinsong Yan, Junmin Liu, Shuang Xu, Yicheng Wang, Xiangyong Cao

IEEE Trans. Geosci. Remote. Sens., 2022

SRAF-Net: A Scene-Relevant Anchor-Free Object Detection Network in Remote Sensing Images.

Junmin Liu, Shijie Li, Changsheng Zhou, Xiangyong Cao, Yong Gao, Bo Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Efficient and Model-Based Infrared and Visible Image Fusion via Algorithm Unrolling.

Zixiang Zhao, Shuang Xu, Jiangshe Zhang, Chengyang Liang, Chunxia Zhang, Junmin Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation.

Huirong Li, Yuelin Gao, Junmin Liu, Jiangshe Zhang, Chao Li

Signal Process. Image Commun., 2022

A Two-Stage Pansharpening Method for the Fusion of Remote-Sensing Images.

Yazhen Wang, Guojun Liu, Rui Zhang, Junmin Liu

Remote. Sens., 2022

Optimization Algorithm Unfolding Deep Networks of Detail Injection Model for Pansharpening.

Yunqiao Feng, Junmin Liu, Kun Chen, Bo Wang, Zixiang Zhao

IEEE Geosci. Remote. Sens. Lett., 2022

A model-driven network for guided image denoising.

Shuang Xu, Jiangshe Zhang, Jialin Wang, Kai Sun, Chunxia Zhang, Junmin Liu, Junying Hu

Inf. Fusion, 2022

Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion.

Chengli Tan, Jiangshe Zhang, Junmin Liu

CoRR, 2022

2021

DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition.

Kai Sun, Jiangshe Zhang, Junmin Liu, Ruixuan Yu, Zengjie Song

IEEE Trans. Image Process., 2021

Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images.

Guang Shi, Jiang-She Zhang, Junmin Liu, Chunxia Zhang, Changsheng Zhou, Shuyun Yang

IEEE Trans. Geosci. Remote. Sens., 2021

Pansharpening Via Neighbor Embedding of Spatial Details.

Junmin Liu, Changsheng Zhou, Rongrong Fei, Chunxia Zhang, Jiangshe Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

MFIF-GAN: A new generative adversarial network for multi-focus image fusion.

Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chunxia Zhang, Jiangshe Zhang

Signal Process. Image Commun., 2021

A novel method for Mandarin speech synthesis by inserting prosodic structure prediction into Tacotron2.

Junmin Liu, Zhuangzhuang Xie, Chunxia Zhang, Guang Shi

Int. J. Mach. Learn. Cybern., 2021

A parallel multi-module deep reinforcement learning algorithm for stock trading.

Cong Ma, Jiangshe Zhang, Junmin Liu, Lizhen Ji, Fei Gao

Neurocomputing, 2021

DPP-VSE: Constructing a variable selection ensemble by determinantal point processes.

Chunxia Zhang, Junmin Liu, Guanwei Wang, Guanghai Li

Expert Syst. Appl., 2021

Understanding Long Range Memory Effects in Deep Neural Networks.

Chengli Tan, Jiangshe Zhang, Junmin Liu

CoRR, 2021

Discrete Cosine Transform Network for Guided Depth Map Super-Resolution.

Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chun-Xia Zhang, Junmin Liu

CoRR, 2021

AND: Effective Coupling of Accuracy, Novelty and Diversity in the Recommender System.

Di Han, Yifan Huang, Xiaotian Jing, Junmin Liu

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Deep Convolutional Sparse Coding Network For Pansharpening With Guidance Of Side Information.

Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chunxia Zhang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter.

Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Gradient Projection Networks for Pan-sharpening.

Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Estimation of the Number of Endmembers via Thresholding Ridge Ratio Criterion.

Xuehu Zhu, Yue Kang, Junmin Liu

IEEE Trans. Geosci. Remote. Sens., 2020

Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images.

Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Guang Shi, Junying Hu

IEEE Trans. Geosci. Remote. Sens., 2020

HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss.

Shuang Xu, Ouafa Amira, Junmin Liu, Chun-Xia Zhang, Jiangshe Zhang, Guanghai Li

IEEE Trans. Geosci. Remote. Sens., 2020

Bayesian fusion for infrared and visible images.

Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang

Signal Process., 2020

PercepPan: Towards Unsupervised Pan-Sharpening Based on Perceptual Loss.

Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Rongrong Fei, Shuang Xu

Remote. Sens., 2020

PWNet: An Adaptive Weight Network for the Fusion of Panchromatic and Multispectral Images.

Junmin Liu, Yunqiao Feng, Changsheng Zhou, Chunxia Zhang

Remote. Sens., 2020

Neural network with multiple connection weights.

Jiangshe Zhang, Junying Hu, Junmin Liu

Pattern Recognit., 2020

Penetrating the influence of regularizations on neural network based on information bottleneck theory.

Jiangshe Zhang, Cong Ma, Junmin Liu, Guang Shi

Neurocomputing, 2020

Domain Adaptive Object Detection via Feature Separation and Alignment.

Chengyang Liang, Zixiang Zhao, Junmin Liu, Jiangshe Zhang

CoRR, 2020

When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method.

Zixiang Zhao, Shuang Xu, Rui Feng, Chunxia Zhang, Junmin Liu, Jiangshe Zhang

CoRR, 2020

Deep Convolutional Sparse Coding Networks for Image Fusion.

Shuang Xu, Zixiang Zhao, Yicheng Wang, Chunxia Zhang, Junmin Liu, Jiangshe Zhang

CoRR, 2020

Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling.

Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang

CoRR, 2020

MFFW: A new dataset for multi-focus image fusion.

Shuang Xu, Xiaoli Wei, Chunxia Zhang, Junmin Liu, Jiangshe Zhang

CoRR, 2020

Convolutional Neural Network Assisted Optical Orbital Angular Momentum Identification of Vortex Beams.

Wenjie Xiong, Yi Luo, Junmin Liu, Zebin Huang, Peipei Wang, Gaiqing Zhao, Ying Li, Yanxia Gao, Shuqing Chen, Dianyuan Fan

IEEE Access, 2020

DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion.

Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks.

Zengjie Song, Jiangshe Zhang, Guang Shi, Junmin Liu

IEEE Trans. Neural Networks Learn. Syst., 2019

Enhanced Back-Projection as Postprocessing for Pansharpening.

Junmin Liu, Jing Ma, Rongrong Fei, Huirong Li, Jiangshe Zhang

Remote. Sens., 2019

Convolutional Sparse Representation of Injected Details for Pansharpening.

Rongrong Fei, Jiangshe Zhang, Junmin Liu, Fang Du, Peiju Chang, Junying Hu

IEEE Geosci. Remote. Sens. Lett., 2019

FPCANet: Fisher discrimination for Principal Component Analysis Network.

Kai Sun, Jiangshe Zhang, Hongwei Yong, Junmin Liu

Knowl. Based Syst., 2019

Improving text classification with weighted word embeddings via a multi-channel TextCNN model.

Bao Guo, Chunxia Zhang, Junmin Liu, Xiaoyi Ma

Neurocomputing, 2019

Convolutional Neural Network-Assisted Optical Orbital Angular Momentum Recognition and Communication.

Peipei Wang, Xiaomin Zhang, Dianyuan Fan, Junmin Liu, Lijuan Sheng, Yanliang He, Wenjie Xiong, Zebin Huang, Xinxing Zhou, Ying Li, Shuqing Chen

IEEE Access, 2019

Optical Orbital Angular Momentum Shift-Keying Communication Using Direct Demodulation.

Ying Li, Chaofeng Wang, Xiaoke Zhang, Junmin Liu, Yanliang He, Jiangnan Xiao, Yanxia Gao, Shuqing Chen, Xiaomin Zhang, Dianyuan Fan

IEEE Access, 2019

2018

Single multi-echo GRE acquisition with short and long echo spacing for simultaneous quantitative mapping of fat fraction, B0 inhomogeneity, and susceptibility.

Junmin Liu, Spencer D. Christiansen, Maria Drangova

NeuroImage, 2018

Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks.

Changsheng Zhou, Jiangshe Zhang, Junmin Liu

Knowl. Based Syst., 2018

2017

Graph-based discriminative concept factorization for data representation.

Huirong Li, Jiang-She Zhang, Junying Hu, Chunxia Zhang, Junmin Liu

Knowl. Based Syst., 2017

Graph-regularized CF with local coordinate for image representation.

Huirong Li, Jiangshe Zhang, Junmin Liu

J. Vis. Commun. Image Represent., 2017

Graph-based discriminative nonnegative matrix factorization with label information.

Huirong Li, Jiangshe Zhang, Guang Shi, Junmin Liu

Neurocomputing, 2017

Locally Linear Detail Injection for Pansharpening.

Junmin Liu, Yongchang Hui, Peng Zan

IEEE Access, 2017

Querying RDF graphs over partitioned indexes.

Lei Gai, Junmin Liu, Xiaoming Wang, Jian Li

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

ℓ_{1/2, 1} group sparse regularization for compressive sensing.

Shengcai Liu, Jiang-She Zhang, Junmin Liu, Qingyan Yin

Signal Image Video Process., 2016

Manifold regularized non-negative matrix factorization with label information.

Huirong Li, Jiang-She Zhang, Changpeng Wang, Junmin Liu

J. Electronic Imaging, 2016

Class-driven concept factorization for image representation.

Huirong Li, Jiang-She Zhang, Junmin Liu

Neurocomputing, 2016

2015

Enhancing performance of the backpropagation algorithm via sparse response regularization.

Jiang-She Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng

Neurocomputing, 2015

2014

Enhancing Low-Rank Subspace Clustering by Manifold Regularization.

Junmin Liu, Yijun Chen, Jiang-She Zhang, Zongben Xu

IEEE Trans. Image Process., 2014

Spectral Unmixing via Compressive Sensing.

Junmin Liu, Jiang-She Zhang

IEEE Trans. Geosci. Remote. Sens., 2014

2012

A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction.

Junmin Liu, Jiang-She Zhang

IEEE Trans. Geosci. Remote. Sens., 2012

Enhancing Spectral Unmixing by Local Neighborhood Weights.

Junmin Liu, Jiangshe Zhang, Yuelin Gao, Chunxia Zhang, Zhihua Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

2011

AnnotCompute: annotation-based exploration and meta-analysis of genomics experiments.

Jie Zheng, Julia Stoyanovich, Elisabetta Manduchi, Junmin Liu, Christian J. Stoeckert Jr.

Database J. Biol. Databases Curation, 2011

2010

Annotare - a tool for annotating high-throughput biomedical investigations and resulting data.

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

Bioinform., 2010

2007

EPConDB: a web resource for gene expression related to pancreatic development, beta-cell function and diabetes.

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.

Nucleic Acids Res., 2007

2006

A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB.

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

BMC Bioinform., 2006

2005

A practical false discovery rate approach to identifying patterns of differential expression in microarray data.

Gregory R. Grant, Junmin Liu, Christian J. Stoeckert Jr.

Bioinform., 2005

2004

RAD and the RAD Study-Annotator: an approach to collection, organization and exchange of all relevant information for high-throughput gene expression studies.

Elisabetta Manduchi, Gregory R. Grant, H. He, Junmin Liu, Matthew D. Mailman, Angel D. Pizarro, Patricia L. Whetzel, Christian J. Stoeckert Jr.

Bioinform., 2004