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2020 – today
- 2024
[j64]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): 459-476 (2024)- [j63]Chengli Tan, Jiangshe Zhang, Junmin Liu, Zixiang Zhao:
Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks. Int. J. Mach. Learn. Cybern. 15(11): 5381-5394 (2024) - [j62]Dongwei Sun, Yajie Bao, Junmin Liu, Xiangyong Cao:
A Lightweight Sparse Focus Transformer for Remote Sensing Image Change Captioning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18727-18738 (2024) - [j61]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): 590-601 (2024) - [j60]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): 2417-2432 (2024) - [j59]Datao Tang, Xiangyong Cao, Xingsong Hou, Zhongyuan Jiang, Junmin Liu, Deyu Meng:
CRS-Diff: Controllable Remote Sensing Image Generation With Diffusion Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j58]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): 62:1-62:20 (2024) - [j57]Chengli Tan, Jiang-She Zhang, Junmin Liu:
Understanding Short-Range Memory Effects in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10576-10590 (2024) - [i16]Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng Wang, Yunda Hao:
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy. CoRR abs/2401.07250 (2024) - [i15]Yicheng Wang, Feng Liu, Junmin Liu, Zhen Fang, Kai Sun:
Exclusive Style Removal for Cross Domain Novel Class Discovery. CoRR abs/2406.18140 (2024) - 2023
- [j56]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: 103788 (2023) - [j55]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): 2816-2827 (2023) - [j54]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: 111057 (2023) - [j53]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): 11389-11402 (2023) - [j52]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): 2869 (2023) - [j51]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: 6448-6462 (2023) - [c7]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: 2369-2377 - 2022
- [j50]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: 60-71 (2022) - [j49]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: 1-5 (2022) - [j48]Yazhen Wang, Guojun Liu, Rui Zhang, Junmin Liu:
A Two-Stage Pansharpening Method for the Fusion of Remote-Sensing Images. Remote. Sens. 14(5): 1121 (2022) - [j47]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: 116589 (2022) - [j46]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): 1186-1196 (2022) - [j45]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: 1-14 (2022) - [j44]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: 1-16 (2022) - [i14]Chengli Tan, Jiangshe Zhang, Junmin Liu:
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion. CoRR abs/2206.04359 (2022) - 2021
- [j43]Chunxia Zhang, Junmin Liu, Guanwei Wang, Guanghai Li:
DPP-VSE: Constructing a variable selection ensemble by determinantal point processes. Expert Syst. Appl. 178: 115025 (2021) - [j42]Cong Ma, Jiangshe Zhang, Junmin Liu, Lizhen Ji, Fei Gao:
A parallel multi-module deep reinforcement learning algorithm for stock trading. Neurocomputing 449: 290-302 (2021) - [j41]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): 2809-2823 (2021) - [j40]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: 116295 (2021) - [j39]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: 4028-4042 (2021) - [j38]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): 10604-10617 (2021) - [j37]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: 868-877 (2021) - [c6]Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang:
Deep Gradient Projection Networks for Pan-sharpening. CVPR 2021: 1366-1375 - [c5]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: 1-6 - [c4]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: 1-6 - [c3]Di Han, Yifan Huang, Xiaotian Jing, Junmin Liu:
AND: Effective Coupling of Accuracy, Novelty and Diversity in the Recommender System. MSN 2021: 772-777 - [i13]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 abs/2101.00062 (2021) - [i12]Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang:
Deep Gradient Projection Networks for Pan-sharpening. CoRR abs/2103.04584 (2021) - [i11]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 abs/2103.05946 (2021) - [i10]Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Chun-Xia Zhang, Junmin Liu:
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. CoRR abs/2104.06977 (2021) - [i9]Chengli Tan, Jiangshe Zhang, Junmin Liu:
Understanding Long Range Memory Effects in Deep Neural Networks. CoRR abs/2105.02062 (2021) - 2020
- [j36]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: 193801-193812 (2020) - [j35]Jiangshe Zhang, Cong Ma, Junmin Liu, Guang Shi:
Penetrating the influence of regularizations on neural network based on information bottleneck theory. Neurocomputing 393: 76-82 (2020) - [j34]Jiangshe Zhang, Junying Hu, Junmin Liu:
Neural network with multiple connection weights. Pattern Recognit. 107: 107481 (2020) - [j33]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): 2318 (2020) - [j32]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): 2804 (2020) - [j31]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Bayesian fusion for infrared and visible images. Signal Process. 177: 107734 (2020) - [j30]Xuehu Zhu, Yue Kang, Junmin Liu:
Estimation of the Number of Endmembers via Thresholding Ridge Ratio Criterion. IEEE Trans. Geosci. Remote. Sens. 58(1): 637-649 (2020) - [j29]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): 4618-4628 (2020) - [j28]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): 7705-7719 (2020) - [c2]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li:
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. IJCAI 2020: 970-976 - [i8]Shuang Xu, Xiaoli Wei, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
MFFW: A new dataset for multi-focus image fusion. CoRR abs/2002.04780 (2020) - [i7]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Pengfei Li, Jiangshe Zhang:
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion. CoRR abs/2003.09210 (2020) - [i6]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Bayesian Fusion for Infrared and Visible Images. CoRR abs/2005.05839 (2020) - [i5]Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Efficient and Interpretable Infrared and Visible Image Fusion Via Algorithm Unrolling. CoRR abs/2005.05896 (2020) - [i4]Shuang Xu, Zixiang Zhao, Yicheng Wang, Chunxia Zhang, Junmin Liu, Jiangshe Zhang:
Deep Convolutional Sparse Coding Networks for Image Fusion. CoRR abs/2005.08448 (2020) - [i3]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 abs/2009.01315 (2020) - [i2]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 abs/2009.09718 (2020) - [i1]Chengyang Liang, Zixiang Zhao, Junmin Liu, Jiangshe Zhang:
Domain Adaptive Object Detection via Feature Separation and Alignment. CoRR abs/2012.08689 (2020)
2010 – 2019
- 2019
- [j27]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: 103433-103442 (2019) - [j26]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: 162025-162035 (2019) - [j25]Bao Guo, Chunxia Zhang, Junmin Liu, Xiaoyi Ma:
Improving text classification with weighted word embeddings via a multi-channel TextCNN model. Neurocomputing 363: 366-374 (2019) - [j24]Kai Sun, Jiangshe Zhang, Hongwei Yong, Junmin Liu:
FPCANet: Fisher discrimination for Principal Component Analysis Network. Knowl. Based Syst. 166: 108-117 (2019) - [j23]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): 1595-1599 (2019) - [j22]Junmin Liu, Jing Ma, Rongrong Fei, Huirong Li, Jiangshe Zhang:
Enhanced Back-Projection as Postprocessing for Pansharpening. Remote. Sens. 11(6): 712 (2019) - [j21]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): 1150-1165 (2019) - 2018
- [j20]Changsheng Zhou, Jiangshe Zhang, Junmin Liu:
Lp-WGAN: Using Lp-norm normalization to stabilize Wasserstein generative adversarial networks. Knowl. Based Syst. 161: 415-424 (2018) - [j19]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: 703-717 (2018) - 2017
- [j18]Junmin Liu, Yongchang Hui, Peng Zan:
Locally Linear Detail Injection for Pansharpening. IEEE Access 5: 9728-9738 (2017) - [j17]Huirong Li, Jiangshe Zhang, Guang Shi, Junmin Liu:
Graph-based discriminative nonnegative matrix factorization with label information. Neurocomputing 266: 91-100 (2017) - [j16]Huirong Li, Jiangshe Zhang, Junmin Liu:
Graph-regularized CF with local coordinate for image representation. J. Vis. Commun. Image Represent. 49: 392-400 (2017) - [j15]Huirong Li, Jiang-She Zhang, Junying Hu, Chunxia Zhang, Junmin Liu:
Graph-based discriminative concept factorization for data representation. Knowl. Based Syst. 118: 70-79 (2017) - [c1]Lei Gai, Junmin Liu, Xiaoming Wang, Jian Li:
Querying RDF graphs over partitioned indexes. ICNC-FSKD 2017: 2262-2267 - 2016
- [j14]Huirong Li, Jiang-She Zhang, Junmin Liu:
Class-driven concept factorization for image representation. Neurocomputing 190: 197-208 (2016) - [j13]Huirong Li, Jiang-She Zhang, Changpeng Wang, Junmin Liu:
Manifold regularized non-negative matrix factorization with label information. J. Electronic Imaging 25(2): 023023 (2016) - [j12]Shengcai Liu, Jiang-She Zhang, Junmin Liu, Qingyan Yin:
ℓ1/2, 1 group sparse regularization for compressive sensing. Signal Image Video Process. 10(5): 861-868 (2016) - 2015
- [j11]Jiang-She Zhang, Nannan Ji, Junmin Liu, Jiyuan Pan, Deyu Meng:
Enhancing performance of the backpropagation algorithm via sparse response regularization. Neurocomputing 153: 20-40 (2015) - 2014
- [j10]Junmin Liu, Jiang-She Zhang:
Spectral Unmixing via Compressive Sensing. IEEE Trans. Geosci. Remote. Sens. 52(11): 7099-7110 (2014) - [j9]Junmin Liu, Yijun Chen, Jiang-She Zhang, Zongben Xu:
Enhancing Low-Rank Subspace Clustering by Manifold Regularization. IEEE Trans. Image Process. 23(9): 4022-4030 (2014) - 2012
- [j8]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): 1545-1552 (2012) - [j7]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): 104-118 (2012) - 2011
- [j6]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) - 2010
- [j5]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): 2470-2471 (2010)
2000 – 2009
- 2007
- [j4]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): 751-755 (2007) - 2006
- [j3]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: 489 (2006) - 2005
- [j2]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): 2684-2690 (2005) - 2004
- [j1]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): 452-459 (2004)
Coauthor Index
[j63] [j57] [i16] [j52] [c7] [j50] [j47] [j46] [i14] [j42] [j40] [j39] [j38] [j37] [c6] [c5] [c4] [i13] [i12] [i11] [i10] [i9] [j35] [j34] [j33] [j31] [j29] [j28] [c2] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [j24] [j23] [j22] [j21] [j20] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7]
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