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ORCIDXiao Wang 0017
Person information
- affiliation: Beijing University of Posts and Telecommunications, School of Computer Science, China
- affiliation (former): Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation (PhD 2016): Tianjin University, School of Computer Science and Technology, China
Other persons with the same name
- Xiao Wang — disambiguation page
- Xiao Wang 0001 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 2 more)
- Xiao Wang 0002
![[0000-0002-0008-0659]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0008-0659")
— Anhui University, School of Artificial Intelligence, Qingdao Academy of Intelligent Industries, Hefei, China (and 1 more) - Xiao Wang 0003 — Huazhong University of Science and Technology, Wuhan, China
- Xiao Wang 0004 — Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN, USA
- Xiao Wang 0005 — Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China (and 1 more)
- Xiao Wang 0006 — University of Houston, National Center of Airborne Laser Mapping, TX, USA
- Xiao Wang 0007 — Xi'an Jiaotong University, Systems Engineering Institute, China
- Xiao Wang 0008 — Beijing Institute of Petrochemical Technology, School of Economics and Management, China (and 2 more)
- Xiao Wang 0009 — Zhengzhou University of Light Industry, School of Computer and Communication Engineering, China (and 1 more)
- Xiao Wang 0010 — Henan University, School of Mathematics and Statistics, China
- Xiao Wang 0011 — University of Chinese Academy of Sciences, School of Mathematical Sciences, Beijing, China
- Xiao Wang 0012 (aka: Xiao Shaun Wang) — Northwestern University, Department of Computer Science, Evanston, IL, USA (and 3 more)
- Xiao Wang 0013 — Xi'an Jiaotong University, Department of Computer Science and Technology, China
- Xiao Wang 0014 — Peng Cheng Laboratory, Shenzhen, China (and 1 more)
- Xiao Wang 0015 — University of Electronic Science and Technology of China, School of Life Science and Technology, Chengdu, China
- Xiao Wang 0016 — Nanjing University of Aeronautics and Astronautics, Department of Biomedical Engineering, China
- Xiao Wang 0018 — Renren Inc., Beijing, China (and 1 more)
- Xiao Wang 0019 — Xi'an Jiaotong University, IAIR, China
- Xiao Wang 0020 — Fudan University, MoE Key Laboratory for Information Science of Electromagnetic Waves, Shanghai, China
- Xiao Wang 0021 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Xiao Wang 0022 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Xiao Wang 0023 — Shanghai Universityn School of Computer Engineering and Science, China
- Xiao Wang 0024 — TU Dresden, Institut für Kartographie, Germany
- Xiao Wang 0025 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Xiao Wang 0026 — Chongqing University of Technology, MoE Key Laboratory of Advanced Manufacturing Techniques for Automobile Parts, China
- Xiao Wang 0027 — Chongqing University, State Key Laboratory of Mechanical Transmissions, School of Automotive Engineering, China
- Xiao Wang 0028 — Boston University, MA, USA
- Xiao Wang 0029 — Wuhan University of Science and Technology, China (and 2 more)
- Xiao Wang 0030 — Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ, USA
- Xiao Wang 0031 — Virginia Polytechnic Institute and State University, Department of Electrical and Computer Engineering, Arlington, VA, USA
- Xiao Wang 0032 — University of Wisconsin-Madison, Madison, WI, USA
- Xiao Wang 0033 — Peking University, College of Chemistry and Molecular Engineering, Beijing, China
- Xiao Wang 0034 — Beihang University, School of Astronautics, Beijing, China
- Xiao Wang 0035 — Arizona State University, School of Biological and Health Systems Engineering, Tempe, AZ, USA (and 1 more)
- Xiao Wang 0036 — Singapore University of Technology and Design, Singapore
- Xiao Wang 0037 — International Center for Advanced Internet Research, Northwestern University, Chicago, IL, USA
- Xiao Wang 0038 — Google Brain, Zurich, Switzerland
- Xiao Wang 0039 — University of Essex, Colchester, UK
- Xiao Wang 0040 — Carnegie Mellon University, USA
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2020 – today
- 2023
[j13]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65(2): 613-640 (2023)- [j12]Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data 9(2): 415-436 (2023) - [j11]Houye Ji, Xiao Wang, Chuan Shi, Bai Wang, Philip S. Yu:
Heterogeneous Graph Propagation Network. IEEE Trans. Knowl. Data Eng. 35(1): 521-532 (2023) - [j10]Ruijia Wang, Chuan Shi, Tianyu Zhao, Xiao Wang, Yanfang Ye:
Heterogeneous Information Network Embedding With Adversarial Disentangler. IEEE Trans. Knowl. Data Eng. 35(2): 1581-1593 (2023) - 2022
- [b1]Chuan Shi, Xiao Wang, Philip S. Yu:
Heterogeneous Graph Representation Learning and Applications. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2022, ISBN 978-981-16-6165-5, pp. 1-318 - [j9]Yiding Zhang, Xiao Wang, Chuan Shi, Xunqiang Jiang, Yanfang Ye:
Hyperbolic Graph Attention Network. IEEE Trans. Big Data 8(6): 1690-1701 (2022) - [j8]Yiding Zhang, Xiao Wang, Nian Liu, Chuan Shi:
Embedding Heterogeneous Information Network in Hyperbolic Spaces. ACM Trans. Knowl. Discov. Data 16(2): 35:1-35:23 (2022) - [j7]Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mou:
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity. IEEE Trans. Knowl. Data Eng. 34(3): 1117-1132 (2022) - [c45]Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou:
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI 2022: 3913-3921 - [c44]Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. AAAI 2022: 4363-4370 - [c43]Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi:
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. CIKM 2022: 3993-3997 - [c42]Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao:
Self-supervised Graph Neural Networks for Multi-behavior Recommendation. IJCAI 2022: 2052-2058 - [c41]Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang:
Geometric Disentangled Collaborative Filtering. SIGIR 2022: 80-90 - [c40]Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi:
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR 2022: 2776-2789 - [c39]Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. WWW 2022: 1248-1258 - [c38]Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du:
Prohibited Item Detection via Risk Graph Structure Learning. WWW 2022: 1434-1443 - [c37]Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi:
Compact Graph Structure Learning via Mutual Information Compression. WWW 2022: 1601-1610 - [i28]Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi:
Compact Graph Structure Learning via Mutual Information Compression. CoRR abs/2201.05540 (2022) - [i27]Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang:
Debiased Graph Neural Networks with Agnostic Label Selection Bias. CoRR abs/2201.07708 (2022) - [i26]Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. CoRR abs/2201.11349 (2022) - [i25]Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi:
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. CoRR abs/2202.09177 (2022) - [i24]Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang:
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. CoRR abs/2209.14107 (2022) - [i23]Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei:
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. CoRR abs/2210.02330 (2022) - [i22]Ruijia Wang, Xiao Wang, Chuan Shi, Le Song:
Uncovering the Structural Fairness in Graph Contrastive Learning. CoRR abs/2210.03011 (2022) - [i21]Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi:
Directed Acyclic Graph Structure Learning from Dynamic Graphs. CoRR abs/2211.17029 (2022) - 2021
- [j6]Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu:
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 33(4): 1413-1425 (2021) - [c36]Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He:
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce. AAAI 2021: 232-239 - [c35]Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. AAAI 2021: 3950-3957 - [c34]Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye:
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI 2021: 4697-4705 - [c33]Yugang Ji, Chuan Shi, Xiao Wang:
Prohibited Item Detection on Heterogeneous Risk Graphs. CIKM 2021: 3867-3877 - [c32]Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang:
CuCo: Graph Representation with Curriculum Contrastive Learning. IJCAI 2021: 2300-2306 - [c31]Xiao Wang, Nian Liu, Hui Han, Chuan Shi:
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. KDD 2021: 1726-1736 - [c30]Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han:
Universal Graph Convolutional Networks. NeurIPS 2021: 10654-10664 - [c29]Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang:
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. NeurIPS 2021: 23768-23779 - [c28]Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie:
Graph Structure Estimation Neural Networks. WWW 2021: 342-353 - [c27]Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui:
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. WWW 2021: 1215-1226 - [c26]Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song:
Lorentzian Graph Convolutional Networks. WWW 2021: 1249-1261 - [c25]Houye Ji, Junxiong Zhu, Chuan Shi, Xiao Wang, Bai Wang, Chaoyu Zhang, Zixuan Zhu, Feng Zhang, Yanghua Li:
Large-scale Comb-K Recommendation. WWW 2021: 2512-2523 - [i20]Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. CoRR abs/2101.00797 (2021) - [i19]Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui:
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. CoRR abs/2101.11859 (2021) - [i18]Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song:
Lorentzian Graph Convolutional Networks. CoRR abs/2104.07477 (2021) - [i17]Xiao Wang, Nian Liu, Hui Han, Chuan Shi:
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. CoRR abs/2105.09111 (2021) - [i16]Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang:
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. CoRR abs/2109.14285 (2021) - [i15]Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang:
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs. CoRR abs/2111.10657 (2021) - 2020
- [c24]Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li:
Multi-Component Graph Convolutional Collaborative Filtering. AAAI 2020: 6267-6274 - [c23]Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang:
Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. ICDM 2020: 791-800 - [c22]Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye:
Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI 2020: 1366-1372 - [c21]Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang:
Decorrelated Clustering with Data Selection Bias. IJCAI 2020: 2177-2183 - [c20]Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei:
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. KDD 2020: 1243-1253 - [c19]Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui:
Structural Deep Clustering Network. WWW 2020: 1400-1410 - [c18]Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang:
One2Multi Graph Autoencoder for Multi-view Graph Clustering. WWW 2020: 3070-3076 - [i14]Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui:
Structural Deep Clustering Network. CoRR abs/2002.01633 (2020) - [i13]Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang:
Decorrelated Clustering with Data Selection Bias. CoRR abs/2006.15874 (2020) - [i12]Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei:
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. CoRR abs/2007.02265 (2020) - [i11]Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou:
Heterogeneous Graph Neural Network for Recommendation. CoRR abs/2009.00799 (2020) - [i10]Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR abs/2011.14867 (2020)
2010 – 2019
- 2019
- [j5]Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu:
A Survey on Network Embedding. IEEE Trans. Knowl. Data Eng. 31(5): 833-852 (2019) - [c17]Xiao Wang, Yiding Zhang, Chuan Shi:
Hyperbolic Heterogeneous Information Network Embedding. AAAI 2019: 5337-5344 - [c16]Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. CIKM 2019: 469-478 - [c15]Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu:
Heterogeneous Graph Attention Network. WWW 2019: 2022-2032 - [i9]Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye:
Heterogeneous Graph Attention Network. CoRR abs/1903.07293 (2019) - [i8]Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. CoRR abs/1909.04246 (2019) - [i7]Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu:
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. CoRR abs/1909.06627 (2019) - [i6]Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li:
Multi-Component Graph Convolutional Collaborative Filtering. CoRR abs/1911.10699 (2019) - [i5]Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye:
Hyperbolic Graph Attention Network. CoRR abs/1912.03046 (2019) - 2018
- [j4]Jing Wang, Feng Tian, Hongchuan Yu, Chang Hong Liu, Kun Zhan, Xiao Wang:
Diverse Non-Negative Matrix Factorization for Multiview Data Representation. IEEE Trans. Cybern. 48(9): 2620-2632 (2018) - [c14]Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu:
TIMERS: Error-Bounded SVD Restart on Dynamic Networks. AAAI 2018: 224-231 - [c13]Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu:
Structural Deep Embedding for Hyper-Networks. AAAI 2018: 426-433 - [c12]Shaohua Fan, Chuan Shi, Xiao Wang:
Abnormal Event Detection via Heterogeneous Information Network Embedding. CIKM 2018: 1483-1486 - [c11]Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu:
Billion-Scale Network Embedding with Iterative Random Projection. ICDM 2018: 787-796 - [c10]Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi:
Ranking Preserving Nonnegative Matrix Factorization. IJCAI 2018: 2776-2782 - [c9]Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang:
Power-law Distribution Aware Trust Prediction. IJCAI 2018: 3564-3570 - [c8]Jianxin Ma, Peng Cui, Xiao Wang, Wenwu Zhu:
Hierarchical Taxonomy Aware Network Embedding. KDD 2018: 1920-1929 - [c7]Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu:
Deep Recursive Network Embedding with Regular Equivalence. KDD 2018: 2357-2366 - [c6]Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu:
Arbitrary-Order Proximity Preserved Network Embedding. KDD 2018: 2778-2786 - [i4]Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu:
Billion-scale Network Embedding with Iterative Random Projection. CoRR abs/1805.02396 (2018) - 2017
- [j3]Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang:
Unsupervised feature selection via Diversity-induced Self-representation. Neurocomputing 219: 350-363 (2017) - [j2]Xianchao Tang, Tao Xu, Xia Feng, Guoqing Yang, Jing Wang, Qiannan Li, Yanbei Liu, Xiao Wang:
Learning community structures: Global and local perspectives. Neurocomputing 239: 249-256 (2017) - [j1]Jing Wang, Xiao Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu:
Constrained Low-Rank Representation for Robust Subspace Clustering. IEEE Trans. Cybern. 47(12): 4534-4546 (2017) - [c5]Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang:
Community Preserving Network Embedding. AAAI 2017: 203-209 - [c4]Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang:
Multi-Component Nonnegative Matrix Factorization. IJCAI 2017: 2922-2928 - [c3]Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang, Xianchao Tang:
Robust nonnegative matrix factorization with ordered structure constraints. IJCNN 2017: 478-485 - [i3]Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu:
A Survey on Network Embedding. CoRR abs/1711.08752 (2017) - [i2]Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu:
TIMERS: Error-Bounded SVD Restart on Dynamic Networks. CoRR abs/1711.09541 (2017) - [i1]Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu:
Structural Deep Embedding for Hyper-Networks. CoRR abs/1711.10146 (2017) - 2016
- [c2]Jing Wang, Xiao Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Yanbei Liu:
Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization. ICONIP (2) 2016: 435-444 - 2015
- [c1]Jing Wang, Feng Tian, Chang Hong Liu, Xiao Wang:
Robust semi-supervised nonnegative matrix factorization. IJCNN 2015: 1-8
Coauthor Index
[j12] [j11] [j10] [b1] [j9] [j8] [j7] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [j6] [c36] [c35] [c34] [c33] [c32] [c31] [c29] [c28] [c27] [c26] [c25] [i20] [i19] [i18] [i17] [i16] [i15] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i14] [i13] [i12] [i11] [i10] [c17] [c16] [c15] [i9] [i8] [i7] [i6] [i5] [c12]
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