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2010 – today
- 2019
[c9]Bo Zhang, Xiaoyin Nie, Gang Xie, Xinxing Xu:
Research on Data Mining Technology for Fault Correlation Analysis of Power Communication Network. ICCA 2019: 1482-1487- [c8]Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh:
Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. OMIA@MICCAI 2019: 148-155 - 2018
- [j8]Xinxing Xu, Shijie Xiao, Zhang Yi
, Xi Peng, Yong Liu:
Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning. IEEE Trans. Cognitive and Developmental Systems 10(2): 280-289 (2018) - [c7]Yiqing Zhang, Yimeng Dai, Jianzhong Qi, Xinxing Xu, Rui Zhang:
Citation Field Learning by RNN with Limited Training Data. PAKDD (Workshops) 2018: 219-232 - 2017
- [j7]Li Niu, Xinxing Xu, Lin Chen, Lixin Duan, Dong Xu:
Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources. IEEE Trans. Neural Netw. Learning Syst. 28(6): 1290-1304 (2017) - [c6]Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua:
Laplacian-Steered Neural Style Transfer. ACM Multimedia 2017: 1716-1724 - [i4]Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua:
Laplacian-Steered Neural Style Transfer. CoRR abs/1707.01253 (2017) - 2016
- [j6]Xinxing Xu, Wen Li, Dong Xu, Ivor W. Tsang:
Co-Labeling for Multi-View Weakly Labeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1113-1125 (2016) - [c5]Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh:
Transfer Hashing with Privileged Information. IJCAI 2016: 2414-2420 - [c4]Yong Kiam Tan, Xinxing Xu, Yong Liu:
Improved Recurrent Neural Networks for Session-based Recommendations. DLRS@RecSys 2016: 17-22 - [i3]Xinxing Xu, Joey Tianyi Zhou, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh, Yong Liu:
Simple and Efficient Learning using Privileged Information. CoRR abs/1604.01518 (2016) - [i2]Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh:
Transfer Hashing with Privileged Information. CoRR abs/1605.04034 (2016) - [i1]Yong Kiam Tan, Xinxing Xu, Yong Liu:
Improved Recurrent Neural Networks for Session-based Recommendations. CoRR abs/1606.08117 (2016) - 2015
- [j5]Shengye Yan, Xinxing Xu, Dong Xu, Stephen Lin, Xuelong Li:
Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning. IEEE Trans. Cybernetics 45(3): 395-404 (2015) - [j4]Xinxing Xu, Wen Li, Dong Xu:
Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification. IEEE Trans. Neural Netw. Learning Syst. 26(12): 3150-3162 (2015) - 2014
- [j3]Shengye Yan, Xinxing Xu, Qingshan Liu:
Learning the object location, scale and view for image categorization with adapted classifier. Inf. Sci. 281: 661-673 (2014) - 2013
- [j2]Xinxing Xu, Ivor W. Tsang, Dong Xu:
Soft Margin Multiple Kernel Learning. IEEE Trans. Neural Netw. Learning Syst. 24(5): 749-761 (2013) - 2012
- [j1]Dong Xu, Yi Huang, Zinan Zeng, Xinxing Xu:
Human Gait Recognition Using Patch Distribution Feature and Locality-Constrained Group Sparse Representation. IEEE Trans. Image Processing 21(1): 316-326 (2012) - [c3]Shengye Yan, Xinxing Xu, Dong Xu, Stephen Lin, Xuelong Li:
Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification. ECCV (4) 2012: 473-487 - [c2]Xinxing Xu, Ivor W. Tsang, Dong Xu:
Handling Ambiguity via Input-Output Kernel Learning. ICDM 2012: 725-734 - 2011
- [c1]Fuzeng Yang, Shan Liu, Liping Chen, Yuanjie Wang, Zheng Wang, Xinxing Xu:
Preliminary Study of Obstacles Detecting Method in Farmland Based on Stereovision. IScIDE 2011: 676-683
Coauthor Index
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