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Bin Shen 0002
Person information
- affiliation: Google New York, NY, USA
- affiliation (PhD 2014): Purdue University, Department of Computer Science, West Lafayette, IN, USA
- affiliation (former): Tsinghua University, Department of Electronic Engineering, TNList, Beijing, China
Other persons with the same name
- Bin Shen — disambiguation page
- Bin Shen 0001 — Zhejiang University, Ningbo Institute of Technology, Hangzhou, China (and 1 more)
- Bin Shen 0003 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China (and 1 more)
- Bin Shen 0004 — Harbin Engineering University, School of Materials Science and Chemical Engineering, China (and 1 more)
- Bin Shen 0005 — Inha University, Inchon, South Korea
- Bin Shen 0006 — Donghua University, Glorious Sun School of Business and Management, Shanghai, China (and 1 more)
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2020 – today
- 2022
- [c30]Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu:
Deep Partial Multiplex Network Embedding. WWW (Companion Volume) 2022: 1053-1062 - [i5]Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu:
Deep Partial Multiplex Network Embedding. CoRR abs/2203.02656 (2022) - 2020
- [j11]Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu:
DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. Neural Networks 127: 182-192 (2020)
2010 – 2019
- 2018
- [j10]Xue Li, Bin Shen, Bao-Di Liu, Yu-Jin Zhang:
Ranking-Preserving Low-Rank Factorization for Image Annotation With Missing Labels. IEEE Trans. Multim. 20(5): 1169-1178 (2018) - [c29]Travis Ebesu, Bin Shen, Yi Fang:
Collaborative Memory Network for Recommendation Systems. SIGIR 2018: 515-524 - [i4]Travis Ebesu, Bin Shen, Yi Fang:
Collaborative Memory Network for Recommendation Systems. CoRR abs/1804.10862 (2018) - [i3]Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu:
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification. CoRR abs/1812.11478 (2018) - 2017
- [j9]Bao-Di Liu, Liangke Gui, Yuting Wang, Yu-Xiong Wang, Bin Shen, Xue Li, Yanjiang Wang:
Class specific centralized dictionary learning for face recognition. Multim. Tools Appl. 76(3): 4159-4177 (2017) - [c28]Qifan Wang, Gal Chechik, Chen Sun, Bin Shen:
Instance-Level Label Propagation with Multi-Instance Learning. IJCAI 2017: 2943-2949 - 2016
- [j8]Xue Li, Yu-Jin Zhang, Bin Shen, Bao-Di Liu:
Low-rank image tag completion with dual reconstruction structure preserved. Neurocomputing 173: 425-433 (2016) - [j7]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Xue Li, Yu-Jin Zhang, Yanjiang Wang:
Blockwise coordinate descent schemes for efficient and effective dictionary learning. Neurocomputing 178: 25-35 (2016) - [j6]Bao-Di Liu, Bin Shen, Liangke Gui, Yu-Xiong Wang, Xue Li, Fei Yan, Yanjiang Wang:
Face recognition using class specific dictionary learning for sparse representation and collaborative representation. Neurocomputing 204: 198-210 (2016) - [j5]Bin Shen, Bao-Di Liu, Qifan Wang:
Elastic net regularized dictionary learning for image classification. Multim. Tools Appl. 75(15): 8861-8874 (2016) - [j4]Huachun Tan, Yuankai Wu, Bin Shen, Peter Jing Jin, Bin Ran:
Short-Term Traffic Prediction Based on Dynamic Tensor Completion. IEEE Trans. Intell. Transp. Syst. 17(8): 2123-2133 (2016) - [j3]Xue Li, Bin Shen, Bao-Di Liu, Yu-Jin Zhang:
A Locality Sensitive Low-Rank Model for Image Tag Completion. IEEE Trans. Multim. 18(3): 474-483 (2016) - [c27]Bin Shen, Cheng Lu, Qifan Wang, Si Chen, Yan Yan:
One-Class Maximum Margin Matrix Factorization. IMAWM 2016: 1-6 - [c26]Bao-Di Liu, Yuting Wang, Liangke Gui, Yu-Xiong Wang, Bin Shen, Xue Li, Yan-Jiang Wang:
Class specific discriminant dictionary learning with kernels for face recognition. IMAWM 2016: 1-6 - [c25]Cheng Lu, Bin Shen, Lu Zhang, Jan P. Allebach:
Tag recommendation via robust probabilistic discriminative matrix factorization. ICASSP 2016: 1170-1174 - 2015
- [c24]Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach:
SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. AAAI 2015: 2965-2971 - [c23]Qifan Wang, Luo Si, Bin Shen:
Learning to Hash on Structured Data. AAAI 2015: 3066-3072 - [c22]Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu:
Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation. AAAI 2015: 3115-3121 - [c21]Bin Shen, Qifan Wang, Jan P. Allebach:
Piecewise linear dimension reduction for nonnegative data. IMAWM 2015: 940804 - [c20]Yin Zheng, Bin Shen, Xiaofeng Yang, Wanli Ma, Bao-Di Liu, Yu-Jin Zhang:
A Locality Preserving Approach for Kernel PCA. ICIG (1) 2015: 121-135 - [c19]Bao-Di Liu, Bin Shen, Xue Li:
Locality sensitive dictionary learning for image classification. ICIP 2015: 3807-3811 - [c18]Qifan Wang, Luo Si, Bin Shen:
Learning to Hash on Partial Multi-Modal Data. IJCAI 2015: 3904-3910 - 2014
- [j2]Bin Shen, Olzhas Makhambetov:
Hierarchical Semi-Supervised Factorization for Learning the Semantics. J. Adv. Comput. Intell. Intell. Informatics 18(3): 366-374 (2014) - [c17]Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si:
Sparse Semantic Hashing for Efficient Large Scale Similarity Search. CIKM 2014: 1899-1902 - [c16]Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si:
Binary Codes Embedding for Fast Image Tagging with Incomplete Labels. ECCV (2) 2014: 425-439 - [c15]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Martial Hebert:
Self-explanatory Sparse Representation for Image Classification. ECCV (2) 2014: 600-616 - [c14]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang:
Blockwise coordinate descent schemes for sparse representation. ICASSP 2014: 5267-5271 - [c13]Xue Li, Yu-Jin Zhang, Bin Shen, Bao-Di Liu:
Image tag completion by low-rank factorization with dual reconstruction structure preserved. ICIP 2014: 3062-3066 - [c12]Bin Shen, Bao-Di Liu, Jan P. Allebach:
TISVM: Large margin classifier for misaligned image classification. ICIP 2014: 4251-4255 - [c11]Bin Shen, Zenglin Xu, Jan P. Allebach:
Kernel tapering: A simple and effective approach to sparse kernels for image processing. ICIP 2014: 4917-4921 - [c10]Bin Shen, Bao-Di Liu, Qifan Wang, Rongrong Ji:
Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules. ICIP 2014: 5282-5286 - [c9]Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang:
Class specific subspace learning for collaborative representation. SMC 2014: 2865-2870 - [c8]Bao-Di Liu, Bin Shen, Yu-Xiong Wang:
Class specific dictionary learning for face recognition. SPAC 2014: 229-234 - [i2]Xue Li, Yu-Jin Zhang, Bin Shen, Bao-Di Liu:
Image Tag Completion by Low-rank Factorization with Dual Reconstruction Structure Preserved. CoRR abs/1406.2049 (2014) - 2013
- [j1]Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Bin Shen:
Learning dictionary on manifolds for image classification. Pattern Recognit. 46(7): 1879-1890 (2013) - [c7]Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu:
Self-Explanatory Convex Sparse Representation for Image Classification. SMC 2013: 2120-2125 - 2012
- [c6]Bin Shen, Zhanibek Datbayev, Olzhas Makhambetov:
Semisupervised Nonnegative Matrix Factorization for learning the semantics. SCIS&ISIS 2012: 821-824 - [i1]Bin Shen, Luo Si, Rongrong Ji, Bao-Di Liu:
Robust Nonnegative Matrix Factorization via L1 Norm Regularization. CoRR abs/1204.2311 (2012) - 2011
- [c5]Suleyman Cetintas, Datong Chen, Luo Si, Bin Shen, Zhanibek Datbayev:
Forecasting counts of user visits for online display advertising with probabilistic latent class models. SIGIR 2011: 1217-1218 - 2010
- [c4]Bin Shen, Luo Si:
Non-Negative Matrix Factorization Clustering on Multiple Manifolds. AAAI 2010: 575-580
2000 – 2009
- 2009
- [c3]Bin Shen, Wei Hu, Yimin Zhang, Yu-Jin Zhang:
Image inpainting via sparse representation. ICASSP 2009: 697-700 - [c2]Bin Shen, Yu-Jin Zhang:
Foreground Segmentation via Sparse Representation. SMC 2009: 3263-3267 - 2008
- [c1]Zhengdong Cheng, Bin Shen, Xiang Fan, Yu-Jin Zhang:
Automatic coefficient selection in Weighted Maximum Margin Criterion. ICPR 2008: 1-4
Coauthor Index
aka: Bao-Di Liu
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