Junmin Liu - RankMe

111 papers A* 2A 2Journal 104Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scale-invariant information bottleneck for domain generalization. Expert Syst. Appl. Mengyao Li, Jiangshe Zhang, Chunxia Zhang, Junmin Liu, Lizhen Ji
2026	J	`jnl`	Spatial-frequency domain aggregation upsampling for pan-sharpening. Neural Networks Yilong Liu, Kai Sun, Yuan Liu, Junying Hu, Junmin Liu, Jiangshe Zhang
2026	J	`jnl`	Understanding the Generalization of Bilevel Programming in Hyperparameter Optimization: A Tale of Bias-Variance Decomposition. CoRR Yubo Zhou, Jun Shu, Junmin Liu, Deyu Meng
2026	J	`jnl`	Warm-start or cold-start? A comparison of generalizability in gradient-based hyperparameter tuning. Neural Networks Yubo Zhou, Jun Shu, Chengli Tan, Haishan Ye, Quanziang Wang, Junmin Liu, Deyu Meng, Ivor W. Tsang, Guang Dai
2025	J	`jnl`	Adaptive residual splitting in PINNs for solving complex PDEs. J. Comput. Phys. Fujun Cao, Kunkun Fan, Haoran Zhang, Dongfang Yuan, Junmin Liu
2025	J	`jnl`	An Attention-Based Feature Processing Method for Cross-Domain Hyperspectral Image Classification. IEEE Signal Process. Lett. Yazhen Wang, Guojun Liu, Lixia Yang, Junmin Liu, Lili Wei
2025	J	`jnl`	CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition. IEEE Trans. Neural Networks Learn. Syst. Kai Sun, Jiangshe Zhang, Shuang Xu, Zixiang Zhao, Chunxia Zhang, Junmin Liu, Junying Hu
2025	J	`jnl`	CTVNet: Gradient Prior-Guided Deep Unfolding Network for Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. Pei Liu, Li Pang, Jiangjun Peng, Yisi Luo, Junmin Liu, Xiangyong Cao
2025	J	`jnl`	Cold-Start Recommendation based on Knowledge Graph and Meta-Learning under Positive and Negative sampling. Trans. Recomm. Syst. Di Han, Xiaotian Jing, Yijun Chen, Junmin Liu, Kai Liao, Wenting Li
2025	J	`jnl`	DGAT: Dynamic Gaussian Attenuate Transformer for Remote Sensing Image Change Captioning. IEEE Trans. Geosci. Remote. Sens. Pengfei Qin, Junmin Liu, Lanyu Li, Chao Tian, Xiangyong Cao
2025	J	`jnl`	DPCA: Dynamic multi-prototype cross-attention for change detection unsupervised domain adaptation of remote sensing images. Knowl. Based Syst. Rongbo Fan, Jialin Xie, Junmin Liu, Yan Zhang, Hong Hou, Jianhua Yang
2025	J	`jnl`	Exclusive style removal for cross domain novel class discovery. Neural Networks Yicheng Wang, Feng Liu, Junmin Liu, Kai Sun
2025	J	`jnl`	FMW-Net: a first-order meta-weight-net approach for sample weighting. Int. J. Mach. Learn. Cybern. Yubo Zhou, Jun Shu, Junmin Liu, Deyu Meng
2025	J	`jnl`	FSGformer: Frequency Separation and Guidance Transformer for Pansharpening. IEEE Trans. Geosci. Remote. Sens. Qian Liu, Xiangyu Zhao, You Qin, Lanyu Li, Junmin Liu
2025	J	`jnl`	Frequency-Enhanced Subspace Clustering Network With Information Bottleneck. IEEE Trans. Multim. Mengran Hou, Mengyao Li, Chengli Tan, Junmin Liu, Jinhai Li, Huirong Li
2025	J	`jnl`	Learned low-rank representation and its theoretical convergence analysis. Neural Networks Weilin Shen, Junmin Liu, Xiangyu Chang
2025	J	`jnl`	NAPG: Neighborhood-Assisted Multiprototype Group Model for Cross-Domain Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Rongbo Fan, Jialin Xie, Junmin Liu, Jun Zhang, Yan Zhang, Hong Hou, Jianhua Yang
2025	J	`jnl`	Polar R-CNN: End-to-End Lane Detection With Fewer Anchors. IEEE Trans. Intell. Transp. Syst. Shengqi Wang, Junmin Liu, Xiangyong Cao, Zengjie Song, Kai Sun
2025	J	`jnl`	Semantic-consistency multi-view deep subspace clustering network with frequency branches. Image Vis. Comput. Mengran Hou, Junmin Liu, Zengjie Song, Yongjun Wang
2025	J	`jnl`	SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-Supervised Change Detector. IEEE Trans. Geosci. Remote. Sens. Kaiyu Li, Xiangyong Cao, Yupeng Deng, Jiayi Song, Junmin Liu, Deyu Meng, Zhi Wang
2025	J	`jnl`	Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy. J. Mach. Learn. Res. Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng Wang, Yunda Hao
2025	J	`jnl`	Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization. CoRR Chengli Tan, Yubo Zhou, Haishan Ye, Guang Dai, Junmin Liu, Zengjie Song, Jiangshe Zhang, Zixiang Zhao, Yunda Hao, Yong Xu
2024	J	`jnl`	A Lightweight Sparse Focus Transformer for Remote Sensing Image Change Captioning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Dongwei Sun, Yajie Bao, Junmin Liu, Xiangyong Cao
2024	J	`jnl`	An Emerging Incremental Fuzzy Concept-Cognitive Learning Model Based on Granular Computing and Conceptual Knowledge Clustering. IEEE Trans. Emerg. Top. Comput. Intell. Xiaoyuan Deng, Jinhai Li, Yuhua Qian, Junmin Liu
2024	J	`jnl`	CRS-Diff: Controllable Remote Sensing Image Generation With Diffusion Model. IEEE Trans. Geosci. Remote. Sens. Datao Tang, Xiangyong Cao, Xingsong Hou, Zhongyuan Jiang, Junmin Liu, Deyu Meng
2024	J	`jnl`	Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation. IEEE Trans. Artif. Intell. Junmin Liu, Yicheng Wang, Jing Ma, Di Han, Yifan Huang
2024	J	`jnl`	Entropy regularized fuzzy nonnegative matrix factorization for data clustering. Int. J. Mach. Learn. Cybern. Kun Chen, Junchen Liang, Junmin Liu, Weilin Shen, Zongben Xu, Zhengjian Yao
2024	J	`jnl`	Exclusive Style Removal for Cross Domain Novel Class Discovery. CoRR Yicheng Wang, Feng Liu, Junmin Liu, Zhen Fang, Kai Sun
2024	J	`jnl`	LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias. ACM Trans. Knowl. Discov. Data Di Han, Yifan Huang, Junmin Liu, Kai Liao, Kunling Lin
2024	J	`jnl`	Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks. Int. J. Mach. Learn. Cybern. Chengli Tan, Jiangshe Zhang, Junmin Liu, Zixiang Zhao
2024	J	`jnl`	Polar R-CNN: End-to-End Lane Detection with Fewer Anchors. CoRR Shengqi Wang, Junmin Liu, Xiangyong Cao, Zengjie Song, Kai Sun
2024	J	`jnl`	Sharpness-Aware Lookahead for Accelerating Convergence and Improving Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Chengli Tan, Jiangshe Zhang, Junmin Liu, Yihong Gong
2024	J	`jnl`	Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy. CoRR Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng Wang, Yunda Hao
2024	J	`jnl`	Understanding Short-Range Memory Effects in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Chengli Tan, Jiang-She Zhang, Junmin Liu
2023	—	`conf`	Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion. CVPR Workshops Zixiang Zhao, Jiang-She Zhang, Haowen Bai, Yicheng Wang, Yukun Cui, Lilun Deng, Kai Sun, Chunxia Zhang, Junmin Liu, Shuang Xu
2023	J	`jnl`	Deep Tensor Attention Prior Network for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Weilin Shen, Junmin Liu, Jinhai Li, Chao Tian
2023	J	`jnl`	Fuzzy Dual-Hunting Control Based on Auction Algorithm. Int. J. Fuzzy Syst. Dianbiao Dong, Zhize Du, Jinchan Min, Runtian Lu, Junmin Liu, Dengxiu Yu
2023	J	`jnl`	Modified Dynamic Routing Convolutional Neural Network for Pan-Sharpening. Remote. Sens. Kai Sun, Jiangshe Zhang, Junmin Liu, Shuang Xu, Xiangyong Cao, Rongrong Fei
2023	J	`jnl`	Multi-scale pseudo labeling for unsupervised deep edge detection. Knowl. Based Syst. Changsheng Zhou, Chao Yuan, Hongxin Wang, Lei Li, Stefan Oehmcke, Junmin Liu, Jigen Peng
2023	J	`jnl`	Robust Teacher: Self-correcting pseudo-label-guided semi-supervised learning for object detection. Comput. Vis. Image Underst. Shijie Li, Junmin Liu, Weilin Shen, Jianyong Sun, Chengli Tan
2023	J	`jnl`	iTabNet: an improved neural network for tabular data and its application to predict socioeconomic and environmental attributes. Neural Comput. Appl. Junmin Liu, Tian Tian, Yunxia Liu, Sufeng Hu, Mengyao Li
2022	J	`jnl`	A Two-Stage Pansharpening Method for the Fusion of Remote-Sensing Images. Remote. Sens. Yazhen Wang, Guojun Liu, Rui Zhang, Junmin Liu
2022	J	`jnl`	A model-driven network for guided image denoising. Inf. Fusion Shuang Xu, Jiangshe Zhang, Jialin Wang, Kai Sun, Chunxia Zhang, Junmin Liu, Junying Hu
2022	J	`jnl`	Efficient and Model-Based Infrared and Visible Image Fusion via Algorithm Unrolling. IEEE Trans. Circuits Syst. Video Technol. Zixiang Zhao, Shuang Xu, Jiangshe Zhang, Chengyang Liang, Chunxia Zhang, Junmin Liu
2022	J	`jnl`	MD³Net: Integrating Model-Driven and Data-Driven Approaches for Pansharpening. IEEE Trans. Geosci. Remote. Sens. Yinsong Yan, Junmin Liu, Shuang Xu, Yicheng Wang, Xiangyong Cao
2022	J	`jnl`	Optimization Algorithm Unfolding Deep Networks of Detail Injection Model for Pansharpening. IEEE Geosci. Remote. Sens. Lett. Yunqiao Feng, Junmin Liu, Kun Chen, Bo Wang, Zixiang Zhao
2022	J	`jnl`	SRAF-Net: A Scene-Relevant Anchor-Free Object Detection Network in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Junmin Liu, Shijie Li, Changsheng Zhou, Xiangyong Cao, Yong Gao, Bo Wang
2022	J	`jnl`	Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation. Signal Process. Image Commun. Huirong Li, Yuelin Gao, Junmin Liu, Jiangshe Zhang, Chao Li
2022	J	`jnl`	Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion. CoRR Chengli Tan, Jiangshe Zhang, Junmin Liu
2021	J	`jnl`	A novel method for Mandarin speech synthesis by inserting prosodic structure prediction into Tacotron2. Int. J. Mach. Learn. Cybern. Junmin Liu, Zhuangzhuang Xie, Chunxia Zhang, Guang Shi
2021	J	`jnl`	A parallel multi-module deep reinforcement learning algorithm for stock trading. Neurocomputing Cong Ma, Jiangshe Zhang, Junmin Liu, Lizhen Ji, Fei Gao
2021	—	`conf`	AND: Effective Coupling of Accuracy, Novelty and Diversity in the Recommender System. MSN Di Han, Yifan Huang, Xiaotian Jing, Junmin Liu
2021	J	`jnl`	DPP-VSE: Constructing a variable selection ensemble by determinantal point processes. Expert Syst. Appl. Chunxia Zhang, Junmin Liu, Guanwei Wang, Guanghai Li
2021	J	`jnl`	DRCNN: Dynamic Routing Convolutional Neural Network for Multi-View 3D Object Recognition. IEEE Trans. Image Process. Kai Sun, Jiangshe Zhang, Junmin Liu, Ruixuan Yu, Zengjie Song
2021	A	`conf`	Deep Convolutional Sparse Coding Network For Pansharpening With Guidance Of Side Information. ICME Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chunxia Zhang
2021	J	`jnl`	Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information. CoRR Shuang Xu, Jiangshe Zhang, Kai Sun, Zixiang Zhao, Lu Huang, Junmin Liu, Chunxia Zhang
2021	A*	`conf`	Deep Gradient Projection Networks for Pan-sharpening. CVPR Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang
2021	J	`jnl`	Deep Gradient Projection Networks for Pan-sharpening. CoRR Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang
2021	J	`jnl`	Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CoRR Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chun-Xia Zhang, Junmin Liu
2021	A	`conf`	FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. ICME Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang
2021	J	`jnl`	FGF-GAN: A Lightweight Generative Adversarial Network for Pansharpening via Fast Guided Filter. CoRR Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Kai Sun, Lu Huang, Junmin Liu, Chunxia Zhang
2021	J	`jnl`	Global Context-Augmented Objection Detection in VHR Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Guang Shi, Jiang-She Zhang, Junmin Liu, Chunxia Zhang, Changsheng Zhou, Shuyun Yang
2021	J	`jnl`	MFIF-GAN: A new generative adversarial network for multi-focus image fusion. Signal Process. Image Commun. Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chunxia Zhang, Jiangshe Zhang
2021	J	`jnl`	Pansharpening Via Neighbor Embedding of Spatial Details. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Junmin Liu, Changsheng Zhou, Rongrong Fei, Chunxia Zhang, Jiangshe Zhang
2021	J	`jnl`	Understanding Long Range Memory Effects in Deep Neural Networks. CoRR Chengli Tan, Jiangshe Zhang, Junmin Liu
2020	J	`jnl`	Bayesian Fusion for Infrared and Visible Images. CoRR Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
2020	J	`jnl`	Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Guang Shi, Junying Hu
2020	J	`jnl`	Bayesian fusion for infrared and visible images. Signal Process. Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
2020	J	`jnl`	Convolutional Neural Network Assisted Optical Orbital Angular Momentum Identification of Vortex Beams. IEEE Access Wenjie Xiong, Yi Luo, Junmin Liu, Zebin Huang, Peipei Wang, Gaiqing Zhao, Ying Li, Yanxia Gao, Shuqing Chen, Dianyuan Fan
2020	A*	`conf`	DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. IJCAI Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li
2020	J	`jnl`	DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. CoRR Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang
2020	J	`jnl`	Deep Convolutional Sparse Coding Networks for Image Fusion. CoRR Shuang Xu, Zixiang Zhao, Yicheng Wang, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
2020	J	`jnl`	Domain Adaptive Object Detection via Feature Separation and Alignment. CoRR Chengyang Liang, Zixiang Zhao, Junmin Liu, Jiangshe Zhang
2020	J	`jnl`	Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling. CoRR Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
2020	J	`jnl`	Estimation of the Number of Endmembers via Thresholding Ridge Ratio Criterion. IEEE Trans. Geosci. Remote. Sens. Xuehu Zhu, Yue Kang, Junmin Liu
2020	J	`jnl`	HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss. IEEE Trans. Geosci. Remote. Sens. Shuang Xu, Ouafa Amira, Junmin Liu, Chun-Xia Zhang, Jiangshe Zhang, Guanghai Li
2020	J	`jnl`	MFFW: A new dataset for multi-focus image fusion. CoRR Shuang Xu, Xiaoli Wei, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
2020	J	`jnl`	MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion. CoRR Yicheng Wang, Shuang Xu, Junmin Liu, Zixiang Zhao, Chunxia Zhang, Jiangshe Zhang
2020	J	`jnl`	Neural network with multiple connection weights. Pattern Recognit. Jiangshe Zhang, Junying Hu, Junmin Liu
2020	J	`jnl`	PWNet: An Adaptive Weight Network for the Fusion of Panchromatic and Multispectral Images. Remote. Sens. Junmin Liu, Yunqiao Feng, Changsheng Zhou, Chunxia Zhang
2020	J	`jnl`	Penetrating the influence of regularizations on neural network based on information bottleneck theory. Neurocomputing Jiangshe Zhang, Cong Ma, Junmin Liu, Guang Shi
2020	J	`jnl`	PercepPan: Towards Unsupervised Pan-Sharpening Based on Perceptual Loss. Remote. Sens. Changsheng Zhou, Jiangshe Zhang, Junmin Liu, Chunxia Zhang, Rongrong Fei, Shuang Xu
2020	J	`jnl`	When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method. CoRR Zixiang Zhao, Shuang Xu, Rui Feng, Chunxia Zhang, Junmin Liu, Jiangshe Zhang
2019	J	`jnl`	Convolutional Neural Network-Assisted Optical Orbital Angular Momentum Recognition and Communication. IEEE Access Peipei Wang, Xiaomin Zhang, Dianyuan Fan, Junmin Liu, Lijuan Sheng, Yanliang He, Wenjie Xiong, Zebin Huang, Xinxing Zhou, Ying Li, Shuqing Chen
2019	J	`jnl`	Convolutional Sparse Representation of Injected Details for Pansharpening. IEEE Geosci. Remote. Sens. Lett. Rongrong Fei, Jiangshe Zhang, Junmin Liu, Fang Du, Peiju Chang, Junying Hu
2019	J	`jnl`	Enhanced Back-Projection as Postprocessing for Pansharpening. Remote. Sens. Junmin Liu, Jing Ma, Rongrong Fei, Huirong Li, Jiangshe Zhang
2019	J	`jnl`	FPCANet: Fisher discrimination for Principal Component Analysis Network. Knowl. Based Syst. Kai Sun, Jiangshe Zhang, Hongwei Yong, Junmin Liu
2019	J	`jnl`	Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Zengjie Song, Jiangshe Zhang, Guang Shi, Junmin Liu
2019	J	`jnl`	Improving text classification with weighted word embeddings via a multi-channel TextCNN model. Neurocomputing Bao Guo, Chunxia Zhang, Junmin Liu, Xiaoyi Ma
2019	J	`jnl`	Optical Orbital Angular Momentum Shift-Keying Communication Using Direct Demodulation. IEEE Access Ying Li, Chaofeng Wang, Xiaoke Zhang, Junmin Liu, Yanliang He, Jiangnan Xiao, Yanxia Gao, Shuqing Chen, Xiaomin Zhang, Dianyuan Fan
2018	J	`jnl`	Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks. Knowl. Based Syst. Changsheng Zhou, Jiangshe Zhang, Junmin Liu
2018	J	`jnl`	Single multi-echo GRE acquisition with short and long echo spacing for simultaneous quantitative mapping of fat fraction, B0 inhomogeneity, and susceptibility. NeuroImage Junmin Liu, Spencer D. Christiansen, Maria Drangova
2017	J	`jnl`	Graph-based discriminative concept factorization for data representation. Knowl. Based Syst. Huirong Li, Jiang-She Zhang, Junying Hu, Chunxia Zhang, Junmin Liu
2017	J	`jnl`	Graph-based discriminative nonnegative matrix factorization with label information. Neurocomputing Huirong Li, Jiangshe Zhang, Guang Shi, Junmin Liu
2017	J	`jnl`	Graph-regularized CF with local coordinate for image representation. J. Vis. Commun. Image Represent. Huirong Li, Jiangshe Zhang, Junmin Liu
2017	J	`jnl`	Locally Linear Detail Injection for Pansharpening. IEEE Access Junmin Liu, Yongchang Hui, Peng Zan
2017	—	`conf`	Querying RDF graphs over partitioned indexes. ICNC-FSKD Lei Gai, Junmin Liu, Xiaoming Wang, Jian Li
2016	J	`jnl`	Class-driven concept factorization for image representation. Neurocomputing Huirong Li, Jiang-She Zhang, Junmin Liu
2016	J	`jnl`	Manifold regularized non-negative matrix factorization with label information. J. Electronic Imaging Huirong Li, Jiang-She Zhang, Changpeng Wang, Junmin Liu
2016	J	`jnl`	ℓ Signal Image Video Process. Shengcai Liu, Jiang-She Zhang, Junmin Liu, Qingyan Yin
2015	J	`jnl`	Enhancing performance of the backpropagation algorithm via sparse response regularization. Neurocomputing Jiang-She Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng
2014	J	`jnl`	Enhancing Low-Rank Subspace Clustering by Manifold Regularization. IEEE Trans. Image Process. Junmin Liu, Yijun Chen, Jiang-She Zhang, Zongben Xu
2014	J	`jnl`	Spectral Unmixing via Compressive Sensing. IEEE Trans. Geosci. Remote. Sens. Junmin Liu, Jiang-She Zhang
2012	J	`jnl`	A New Maximum Simplex Volume Method Based on Householder Transformation for Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. Junmin Liu, Jiang-She Zhang
2012	J	`jnl`	Enhancing Spectral Unmixing by Local Neighborhood Weights. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Junmin Liu, Jiangshe Zhang, Yuelin Gao, Chunxia Zhang, Zhihua Li
2011	J	`jnl`	AnnotCompute: annotation-based exploration and meta-analysis of genomics experiments. Database J. Biol. Databases Curation Jie Zheng, Julia Stoyanovich, Elisabetta Manduchi, Junmin Liu, Christian J. Stoeckert Jr.
2010	J	`jnl`	Annotare - a tool for annotating high-throughput biomedical investigations and resulting data. Bioinform. 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
2007	J	`jnl`	EPConDB: a web resource for gene expression related to pancreatic development, beta-cell function and diabetes. Nucleic Acids Res. 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.
2006	J	`jnl`	A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB. BMC Bioinform. 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
2005	J	`jnl`	A practical false discovery rate approach to identifying patterns of differential expression in microarray data. Bioinform. Gregory R. Grant, Junmin Liu, Christian J. Stoeckert Jr.
2004	J	`jnl`	RAD and the RAD Study-Annotator: an approach to collection, organization and exchange of all relevant information for high-throughput gene expression studies. Bioinform. Elisabetta Manduchi, Gregory R. Grant, H. He, Junmin Liu, Matthew D. Mailman, Angel D. Pizarro, Patricia L. Whetzel, Christian J. Stoeckert Jr.