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ORCIDJim Jing-Yan Wang
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2010 – 2019
- 2019
[j19]Jim Jing-Yan Wang, Xuefeng Cui, Ge Yu, Lili Guo, Xin Gao
:
When sparse coding meets ranking: a joint framework for learning sparse codes and ranking scores. Neural Comput. Appl. 31(3): 701-710 (2019)- 2017
- [j18]Zhihan Lv, Jim Jingyan Wang, Tengfei Yin:
Editorial: recent research in medical technology based on multimedia and pattern recognition. Neurocomputing 220: 1-4 (2017) - [j17]Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xuefeng Cui, Zhiwu Lu, Xin Gao:
Multi-instance dictionary learning via multivariate performance measure optimization. Pattern Recognit. 66: 448-459 (2017) - [i18]Yanyan Geng, Weizhi Li, Gaoyuan Liang, Jingbin Wang, Yanbin Wu, Nitin Patil, Jim Jing-Yan Wang:
A novel image tag completion method based on convolutional neural network. CoRR abs/1703.00586 (2017) - 2016
- [j16]Xuefeng Cui, Zhiwu Lu, Sheng Wang, Jim Jing-Yan Wang, Xin Gao:
CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction. Bioinform. 32(12): 332-340 (2016) - [j15]Kanghong Duan, Hongxin Zhang, Jim Jing-Yan Wang:
Joint learning of cross-modal classifier and factor analysis for multimedia data classification. Neural Comput. Appl. 27(2): 459-468 (2016) - [c13]Jim Jing-Yan Wang, Ivor Wai-Hung Tsang, Xin Gao:
Optimizing Multivariate Performance Measures from Multi-View Data. AAAI 2016: 2152-2158 - [c12]Ru-Ze Liang, Lihui Shi, Haoxiang Wang, Jiandong Meng, Jim Jing-Yan Wang, Qingquan Sun, Yi Gu:
Optimizing top precision performance measure of content-based image retrieval by learning similarity function. ICPR 2016: 2954-2958 - [c11]Ru-Ze Liang, Wei Xie, Weizhi Li, Hongqi Wang, Jim Jing-Yan Wang, Lisa Taylor:
A Novel Transfer Learning Method Based on Common Space Mapping and Weighted Domain Matching. ICTAI 2016: 299-303 - [i17]Jingbin Wang, Lihui Shi, Haoxiang Wang, Jiandong Meng, Jim Jing-Yan Wang, Qingquan Sun, Yi Gu:
Optimizing top precision performance measure of content-based image retrieval by learning similarity function. CoRR abs/1604.06620 (2016) - [i16]Ru-Ze Liang, Wei Xie, Weizhi Li, Xin Du, Jim Jing-Yan Wang, Jingbin Wang:
Semi-supervised structured output prediction by local linear regression and sub-gradient descent. CoRR abs/1606.02279 (2016) - [i15]Ru-Ze Liang, Wei Xie, Weizhi Li, Hongqi Wang, Jim Jing-Yan Wang, Lisa Taylor:
A novel transfer learning method based on common space mapping and weighted domain matching. CoRR abs/1608.04581 (2016) - [i14]Ru-Ze Liang, Gaoyuan Liang, Weizhi Li, Qinfeng Li, Jim Jing-Yan Wang:
Learning convolutional neural network to maximize Pos@Top performance measure. CoRR abs/1609.08417 (2016) - [i13]Yanbin Wu, Li Wang, Fan Cui, Hongbin Zhai, Baoming Dong, Jim Jing-Yan Wang:
Cross-model convolutional neural network for multiple modality data representation. CoRR abs/1611.06306 (2016) - 2015
- [j14]Jim Jing-Yan Wang, Yi Wang, Shiguang Zhao, Xin Gao:
Maximum mutual information regularized classification. Eng. Appl. Artif. Intell. 37: 1-8 (2015) - [j13]Jim Jing-Yan Wang, Jianhua Z. Huang, Yijun Sun, Xin Gao:
Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization. Expert Syst. Appl. 42(3): 1278-1286 (2015) - [j12]Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing, Xin Gao:
Regularized maximum correntropy machine. Neurocomputing 160: 85-92 (2015) - [j11]Xin Du, Jim Jing-Yan Wang:
Support image set machine: Jointly learning representation and classifier for image set classification. Knowl. Based Syst. 78: 51-58 (2015) - [j10]Jim Jing-Yan Wang, Yijun Sun, Xin Gao:
Sparse structure regularized ranking. Multim. Tools Appl. 74(2): 635-654 (2015) - [j9]Jim Jing-Yan Wang, Xin Gao:
Max-min distance nonnegative matrix factorization. Neural Networks 61: 75-84 (2015) - [c10]Jim Jing-Yan Wang, Xin Gao:
Partially Labeled Data Tuple Can Optimize Multivariate Performance Measures. CIKM 2015: 1915-1918 - [c9]Lan Yang, Jingbin Wang, Lorenzo Azevedo, Jim Jing-Yan Wang:
An Efficient Topology-Based Algorithm for Transient Analysis of Power Grid. ICIC (1) 2015: 649-660 - [c8]Jingbin Wang, Yihua Zhou, Kanghong Duan, Jim Jing-Yan Wang, Halima Bensmail:
Supervised Cross-Modal Factor Analysis for Multiple Modal Data Classification. SMC 2015: 1882-1888 - [i12]Jim Jing-Yan Wang:
Multi-view learning for multivariate performance measures optimization. CoRR abs/1501.03786 (2015) - [i11]Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing, Xin Gao:
Regularized maximum correntropy machine. CoRR abs/1501.04282 (2015) - [i10]Xuejie Liu, Jim Jing-Yan Wang:
Sparse coding with earth mover's distance. CoRR abs/1502.02377 (2015) - 2014
- [j8]Jim Jing-Yan Wang, Xin Gao:
Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization. Eng. Appl. Artif. Intell. 28: 181-189 (2014) - [j7]Jim Jing-Yan Wang, Yijun Sun:
From one graph to many: Ensemble transduction for content-based database retrieval. Knowl. Based Syst. 65: 31-37 (2014) - [j6]Jim Jing-Yan Wang, Halima Bensmail, Xin Gao:
Feature selection and multi-kernel learning for sparse representation on a manifold. Neural Networks 51: 9-16 (2014) - [j5]Jim Jing-Yan Wang, Halima Bensmail:
Unified framework for representing and ranking. Pattern Recognit. 47(6): 2293-2300 (2014) - [c7]Maruan Al-Shedivat, Jim Jing-Yan Wang, Majed Alzahrani, Jianhua Z. Huang, Xin Gao:
Supervised Transfer Sparse Coding. AAAI 2014: 1665-1672 - [c6]Jim Jing-Yan Wang, Xin Gao:
Minimum Information Loss Based Multi-kernel Learning for Flagellar Protein Recognition in Trypanosoma Brucei. ICDM Workshops 2014: 133-141 - [c5]Jim Jing-Yan Wang, Xin Gao:
Semi-supervised sparse coding. IJCNN 2014: 1630-1637 - [c4]Jim Jing-Yan Wang, Majed Alzahrani, Xin Gao:
Large margin image set representation and classification. IJCNN 2014: 1797-1803 - [c3]Jim Jing-Yan Wang, Jin Yao, Yijun Sun:
Semi-supervised local-learning-based feature selection. IJCNN 2014: 1942-1948 - [c2]Jim Jing-Yan Wang, Yijun Sun, Halima Bensmail:
Domain transfer nonnegative matrix factorization. IJCNN 2014: 3605-3612 - [i9]Jim Jing-Yan Wang, Majed Alzahrani, Xin Gao:
Large Margin Image Set Representation and Classification. CoRR abs/1404.5588 (2014) - [i8]Jim Jing-Yan Wang:
Domain Transfer Structured Output Learning. CoRR abs/1409.1200 (2014) - [i7]Jim Jing-Yan Wang:
When coding meets ranking: A joint framework based on local learning. CoRR abs/1409.2232 (2014) - [i6]Jim Jing-Yan Wang:
An Efficient Topology-Based Algorithm for Transient Analysis of Power Grid. CoRR abs/1409.7166 (2014) - [i5]Jim Jing-Yan Wang, Yi Wang, Shiguang Zhao, Xin Gao:
Maximum mutual information regularized classification. CoRR abs/1409.7780 (2014) - [i4]Jim Jing-Yan Wang, Xin Gao:
Learning manifold to regularize nonnegative matrix factorization. CoRR abs/1410.2191 (2014) - 2013
- [j4]Jim Jing-Yan Wang, Xiaolei Wang, Xin Gao:
Non-negative matrix factorization by maximizing correntropy for cancer clustering. BMC Bioinform. 14: 107 (2013) - [j3]Jim Jing-Yan Wang, Halima Bensmail, Nan Yao, Xin Gao:
Discriminative sparse coding on multi-manifolds. Knowl. Based Syst. 54: 199-206 (2013) - [j2]Jim Jing-Yan Wang, Halima Bensmail, Xin Gao:
Multiple graph regularized nonnegative matrix factorization. Pattern Recognit. 46(10): 2840-2847 (2013) - [j1]Jim Jing-Yan Wang, Halima Bensmail, Xin Gao:
Joint learning and weighting of visual vocabulary for bag-of-feature based tissue classification. Pattern Recognit. 46(12): 3249-3255 (2013) - [c1]Jim Jing-Yan Wang, Halima Bensmail:
Cross-domain sparse coding. CIKM 2013: 1461-1464 - [i3]Jim Jing-Yan Wang:
Semi-Supervised Sparse Coding. CoRR abs/1311.6834 (2013) - [i2]Jim Jing-Yan Wang:
Cross-Domain Sparse Coding. CoRR abs/1311.7080 (2013) - [i1]Jim Jing-Yan Wang:
Max-Min Distance Nonnegative Matrix Factorization. CoRR abs/1312.1613 (2013)
Coauthor Index
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