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Junmin Liu
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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
Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation. IEEE Trans. Artif. Intell. 5(2): 590-601 (2024) - [j60]Xiaoyuan Deng
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
CRS-Diff: Controllable Remote Sensing Image Generation With Diffusion Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j58]Di Han
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
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
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
Multi-scale pseudo labeling for unsupervised deep edge detection. Knowl. Based Syst. 280: 111057 (2023) - [j53]Junmin Liu, Tian Tian, Yunxia Liu
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
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
A model-driven network for guided image denoising. Inf. Fusion 85: 60-71 (2022) - [j49]Yunqiao Feng, Junmin Liu
Optimization Algorithm Unfolding Deep Networks of Detail Injection Model for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j48]Yazhen Wang
A Two-Stage Pansharpening Method for the Fusion of Remote-Sensing Images. Remote. Sens. 14(5): 1121 (2022) - [j47]Huirong Li
Semi-supervised graph regularized nonnegative matrix factorization with local coordinate for image representation. Signal Process. Image Commun. 102: 116589 (2022) - [j46]Zixiang Zhao
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
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
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
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
Pansharpening Via Neighbor Embedding of Spatial Details. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4028-4042 (2021) - [j38]Guang Shi
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
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
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
Convolutional Neural Network Assisted Optical Orbital Angular Momentum Identification of Vortex Beams. IEEE Access 8: 193801-193812 (2020) - [j35]Jiangshe Zhang, Cong Ma
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
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
Estimation of the Number of Endmembers via Thresholding Ridge Ratio Criterion. IEEE Trans. Geosci. Remote. Sens. 58(1): 637-649 (2020) - [j29]Shuang Xu
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
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
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
Convolutional Neural Network-Assisted Optical Orbital Angular Momentum Recognition and Communication. IEEE Access 7: 162025-162035 (2019) - [j25]Bao Guo, Chunxia Zhang
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
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
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
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
Locally Linear Detail Injection for Pansharpening. IEEE Access 5: 9728-9738 (2017) - [j17]Huirong Li
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
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
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
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
A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB. BMC Bioinform. 7: 489 (2006) - 2005
- [j2]Gregory R. Grant
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
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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last updated on 2024-10-30 20:29 CET by the dblp team
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