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Semantic ScholarXindong Wu 0001
Person information
- affiliation: University of Louisiana at Lafayette, LA, USA
- affiliation: Hefei University of Technology, School of Computer Science and Information Engineering, China
- affiliation (former): University of Vermont, Department of Computer Science, Burlington, VT, USA
- affiliation (former): Colorado School of Mines, Department of Mathematiks and Computer Science, Golden, CO, USA
- affiliation (former): Monash University, Department of Software Development, Melbourne, VIC, Australia
- affiliation (PhD 1993): University of Edinburgh, UK
Other persons with the same name
- Xindong Wu
- Xindong Wu 0002 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
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2010 – today
- 2019
[j221]Dianlong You, Xindong Wu, Limin Shen, Song Deng, Zhen Chen, Chuan Ma, Qiusheng Lian:
Online Feature Selection for Streaming Features Using Self-Adaption Sliding-Window Sampling. IEEE Access 7: 16088-16100 (2019)- [j220]
- [j219]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
OFS-Density: A novel online streaming feature selection method. Pattern Recognition 86: 48-61 (2019) - 2018
- [j218]Youxi Wu, Shasha Li, Jingyu Liu, Lei Guo, Xindong Wu:
NETASPNO: Approximate Strict Pattern Matching Under Nonoverlapping Condition. IEEE Access 6: 24350-24361 (2018) - [j217]Jipeng Qiang, Yun Li, Yunhao Yuan, Xindong Wu:
Short text clustering based on Pitman-Yor process mixture model. Appl. Intell. 48(7): 1802-1812 (2018) - [j216]Qingren Wang, Victor S. Sheng, Xindong Wu:
Document-specific keyphrase candidate search and ranking. Expert Syst. Appl. 97: 163-176 (2018) - [j215]Xuegang Hu, Peng Zhou, Pei-Pei Li, Jing Wang, Xindong Wu:
A survey on online feature selection with streaming features. Frontiers Comput. Sci. 12(3): 479-493 (2018) - [j214]Jiamiao Wang, Xindong Wu, Lei Li:
A framework for semantic connection based topic evolution with DeepWalk. Intell. Data Anal. 22(1): 211-237 (2018) - [j213]Huiting Liu, Lili Wang, Zhizhong Liu, Peng Zhao, Xindong Wu:
Efficient pattern matching with periodical wildcards in uncertain sequences. Intell. Data Anal. 22(4): 829-842 (2018) - [j212]Huiting Liu, Liangquan Yang, Chao Ling, Xindong Wu:
Collaborative social deep learning for celebrity recommendation. Intell. Data Anal. 22(6): 1375-1394 (2018) - [j211]Peng Zheng, Zhong-Qiu Zhao, Jun Gao, Xindong Wu:
A set-level joint sparse representation for image set classification. Inf. Sci. 448-449: 75-90 (2018) - [j210]Lei Li, Chuan Zhou, Jianping He, Jiamiao Wang, Xin Li, Xindong Wu:
Collective semantic behavior extraction in social networks. J. Comput. Science 28: 236-244 (2018) - [j209]
- [j208]Dan Guo, Ermao Yuan, Xuegang Hu, Xindong Wu:
Co-occurrence pattern mining based on a biological approximation scoring matrix. Pattern Anal. Appl. 21(4): 977-996 (2018) - [j207]Na Liu, Fei Xie, Xindong Wu:
Multi-pattern matching with variable-length wildcards using suffix tree. Pattern Anal. Appl. 21(4): 1151-1165 (2018) - [j206]Chao Yang, Hongbo Liu, Seán F. McLoone, C. L. Philip Chen, Xindong Wu:
A Novel Variable Precision Reduction Approach to Comprehensive Knowledge Systems. IEEE Trans. Cybernetics 48(2): 661-674 (2018) - [j205]Jun Huang, Guorong Li, Qingming Huang, Xindong Wu:
Joint Feature Selection and Classification for Multilabel Learning. IEEE Trans. Cybernetics 48(3): 876-889 (2018) - [j204]Pei-Pei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu:
Learning From Short Text Streams With Topic Drifts. IEEE Trans. Cybernetics 48(9): 2697-2711 (2018) - [j203]Youxi Wu, Yao Tong, Xingquan Zhu, Xindong Wu:
NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints. IEEE Trans. Cybernetics 48(10): 2809-2822 (2018) - [j202]Shaojie Qiao, Nan Han, Junfeng Wang, Rong-Hua Li, Louis Alberto Gutierrez, Xindong Wu:
Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique. IEEE Trans. Intelligent Transportation Systems 19(7): 2305-2315 (2018) - [j201]Xindong Wu, Charu C. Aggarwal:
Editorial: TKDD Special Issue on Interactive Data Exploration and Analytics. TKDD 12(1): 1:1 (2018) - [j200]Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu:
Employing Semantic Context for Sparse Information Extraction Assessment. TKDD 12(5): 54:1-54:36 (2018) - [j199]Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu:
Multi-Instance Learning with Discriminative Bag Mapping. IEEE Trans. Knowl. Data Eng. 30(6): 1065-1080 (2018) - [j198]Shaojie Qiao, Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Jun Guo, Louis Alberto Gutierrez, Xindong Wu:
A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization. IEEE Trans. Knowl. Data Eng. 30(9): 1638-1651 (2018) - [j197]Jing Zhang, Victor S. Sheng, Tao Li, Xindong Wu:
Improving Crowdsourced Label Quality Using Noise Correction. IEEE Trans. Neural Netw. Learning Syst. 29(5): 1675-1688 (2018) - [c184]
- [c183]Ege Beyazit, Matin Hosseini, Anthony Maida, Xindong Wu:
Learning Simplified Decision Boundaries from Trapezoidal Data Streams. ICANN (1) 2018: 508-517 - [c182]Xiaoyi Fu, Xinqi Ren, Ole J. Mengshoel, Xindong Wu:
Stochastic Optimization for Market Return Prediction Using Financial Knowledge Graph. ICBK 2018: 25-32 - [c181]Dianlong You, Xindong Wu, Limin Shen, Zhen Chen, Chuan Ma, Song Deng:
Online Feature Selection for Streaming Features with High Redundancy Using Sliding-Window Sampling. ICBK 2018: 205-212 - [c180]
- [c179]Jiamiao Wang, Ling Chen, Lu Qin, Xindong Wu:
ASTM: An Attentional Segmentation Based Topic Model for Short Texts. ICDM 2018: 577-586 - [c178]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu:
Feature-Induced Partial Multi-label Learning. ICDM 2018: 1398-1403 - [c177]Yi He, Di Wu, Ege Beyazit, Xiaoduan Sun, Xindong Wu:
Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification. ICTAI 2018: 163-170 - [c176]Weijie Fu, Meng Wang, Shijie Hao, Xindong Wu:
Scalable Active Learning by Approximated Error Reduction. KDD 2018: 1396-1405 - [c175]
- [e32]Xindong Wu, Yew-Soon Ong, Charu C. Aggarwal, Huanhuan Chen:
2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-9125-0 [contents] - [i11]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding. CoRR abs/1803.09080 (2018) - [i10]Zhong-Qiu Zhao, Peng Zheng, Shou-tao Xu, Xindong Wu:
Object Detection with Deep Learning: A Review. CoRR abs/1807.05511 (2018) - [i9]Jipeng Qiang, Yun Li, Yunhao Yuan, Wei Liu, Xindong Wu:
STTM: A Tool for Short Text Topic Modeling. CoRR abs/1808.02215 (2018) - 2017
- [j196]Xindong Wu, Huanhuan Chen, Jun Liu, Gong-Qing Wu, Ruqian Lu, Nanning Zheng:
Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project. IEEE Access 5: 12696-12701 (2017) - [j195]Jiamiao Wang, Lei Li, Xindong Wu:
LDA-Based Topic Strength Analysis. Computing and Informatics 36(6): 1283-1311 (2017) - [j194]Youxi Wu, Cong Shen, He Jiang, Xindong Wu:
Strict pattern matching under non-overlapping condition. SCIENCE CHINA Information Sciences 60(1): 12101 (2017) - [j193]Yuhong Zhang, Guang Chu, Pei-Pei Li, Xuegang Hu, Xindong Wu:
Three-layer concept drifting detection in text data streams. Neurocomputing 260: 393-403 (2017) - [j192]Jing Zhang, Victor S. Sheng, Qianmu Li, Jian Wu, Xindong Wu:
Consensus algorithms for biased labeling in crowdsourcing. Inf. Sci. 382-383: 254-273 (2017) - [j191]Fei Xie, Xindong Wu, Xingquan Zhu:
Efficient sequential pattern mining with wildcards for keyphrase extraction. Knowl.-Based Syst. 115: 27-39 (2017) - [j190]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Online feature selection for high-dimensional class-imbalanced data. Knowl.-Based Syst. 136: 187-199 (2017) - [j189]Peng Zheng, Zhong-Qiu Zhao, Jun Gao, Xindong Wu:
Image set classification based on cooperative sparse representation. Pattern Recognition 63: 206-217 (2017) - [j188]Dongkuan Xu, Jia Wu, Dewei Li, Yingjie Tian, Xingquan Zhu, Xindong Wu:
SALE: Self-adaptive LSH encoding for multi-instance learning. Pattern Recognition 71: 460-482 (2017) - [j187]Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu:
Positive and Unlabeled Multi-Graph Learning. IEEE Trans. Cybernetics 47(4): 818-829 (2017) - [j186]Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li, Xindong Wu:
Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information. IEEE Trans. Fuzzy Systems 25(6): 1491-1507 (2017) - [j185]Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu:
Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. 29(1): 128-142 (2017) - [j184]Meng Wang, Weijie Fu, Shijie Hao, Hengchang Liu, Xindong Wu:
Learning on Big Graph: Label Inference and Regularization with Anchor Hierarchy. IEEE Trans. Knowl. Data Eng. 29(5): 1101-1114 (2017) - [j183]Richang Hong, Chuan He, Yong Ge, Meng Wang, Xindong Wu:
User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective. IEEE Trans. Knowl. Data Eng. 29(6): 1343-1356 (2017) - [j182]Binxing Fang, Yan Jia, Xiaoyong Li, Aiping Li, Xindong Wu:
Big Search in Cyberspace. IEEE Trans. Knowl. Data Eng. 29(9): 1793-1805 (2017) - [j181]ShuiGuang Deng, Longtao Huang, Guandong Xu, Xindong Wu, Zhaohui Wu:
On Deep Learning for Trust-Aware Recommendations in Social Networks. IEEE Trans. Neural Netw. Learning Syst. 28(5): 1164-1177 (2017) - [j180]Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Chunhua Ju, Xindong Wu:
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection. IEEE Trans. Neural Netw. Learning Syst. 28(6): 1263-1275 (2017) - [j179]Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang:
Markov Blanket Feature Selection Using Representative Sets. IEEE Trans. Neural Netw. Learning Syst. 28(11): 2775-2788 (2017) - [c174]Qingren Wang, Victor S. Sheng, Xindong Wu:
Keyphrase Extraction with Sequential Pattern Mining. AAAI 2017: 5003-5004 - [c173]
- [c172]Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu:
Topic Modeling over Short Texts by Incorporating Word Embeddings. PAKDD (2) 2017: 363-374 - [e31]Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu:
2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3835-4 [contents] - [e30]Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu:
2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3800-2 [contents] - [i8]Jifeng Xuan, He Jiang, Yan Hu, Zhilei Ren, Weiqin Zou, Zhongxuan Luo, Xindong Wu:
Towards Effective Bug Triage with Towards Effective Bug Triage with Software Data Reduction Techniques. CoRR abs/1704.04761 (2017) - 2016
- [j178]Jing Zhang, Xindong Wu, Victor S. Sheng:
Learning from crowdsourced labeled data: a survey. Artif. Intell. Rev. 46(4): 543-576 (2016) - [j177]Donghui Hu, Xiaotian Zhang, Yuqi Fan, Zhong-Qiu Zhao, Lina Wang, Xintao Wu, Xindong Wu:
On digital image trustworthiness. Appl. Soft Comput. 48: 240-253 (2016) - [j176]Lei Li, Jianping He, Meng Wang, Xindong Wu:
Trust Agent-Based Behavior Induction in Social Networks. IEEE Intelligent Systems 31(1): 24-30 (2016) - [j175]Huawen Liu, Xindong Wu, Shichao Zhang:
Neighbor selection for multilabel classification. Neurocomputing 182: 187-196 (2016) - [j174]Yaojin Lin, Qinghua Hu, Jia Zhang, Xindong Wu:
Multi-label feature selection with streaming labels. Inf. Sci. 372: 256-275 (2016) - [j173]Gong-Qing Wu, Lei Li, Li Li, Xindong Wu:
Web News Extraction via Tag Path Feature Fusion Using DS Theory. J. Comput. Sci. Technol. 31(4): 661-672 (2016) - [j172]Youxi Wu, Zhiqiang Tang, He Jiang, Xindong Wu:
Approximate pattern matching with gap constraints. J. Information Science 42(5): 639-658 (2016) - [j171]Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu:
Multi-document summarization using closed patterns. Knowl.-Based Syst. 99: 28-38 (2016) - [j170]Kui Yu, Wei Ding, Xindong Wu:
LOFS: A library of online streaming feature selection. Knowl.-Based Syst. 113: 1-3 (2016) - [j169]Zhong-Qiu Zhao, Yiu-ming Cheung, Haibo Hu, Xindong Wu:
Corrupted and occluded face recognition via cooperative sparse representation. Pattern Recognition 56: 77-87 (2016) - [j168]Ming Shao, Xindong Wu, Yun Fu:
Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure. IEEE Trans. Big Data 2(4): 365-380 (2016) - [j167]Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Scalable and Accurate Online Feature Selection for Big Data. TKDD 11(2): 16:1-16:39 (2016) - [j166]Jing Zhang, Victor S. Sheng, Jian Wu, Xindong Wu:
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering. IEEE Trans. Knowl. Data Eng. 28(4): 1080-1085 (2016) - [j165]Meng Wang, Weijie Fu, Shijie Hao, Dacheng Tao, Xindong Wu:
Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization. IEEE Trans. Knowl. Data Eng. 28(7): 1864-1877 (2016) - [j164]Mei Bai, Junchang Xin, Guoren Wang, Luming Zhang, Roger Zimmermann, Ye Yuan, Xindong Wu:
Discovering the k Representative Skyline Over a Sliding Window. IEEE Trans. Knowl. Data Eng. 28(8): 2041-2056 (2016) - [j163]Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu:
Online Learning from Trapezoidal Data Streams. IEEE Trans. Knowl. Data Eng. 28(10): 2709-2723 (2016) - [j162]Chen Xu, Yongquan Zhang, Runze Li, Xindong Wu:
On the Feasibility of Distributed Kernel Regression for Big Data. IEEE Trans. Knowl. Data Eng. 28(11): 3041-3052 (2016) - [j161]Jun Huang, Guorong Li, Qingming Huang, Xindong Wu:
Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 28(12): 3309-3323 (2016) - [j160]Jun Zhang, Meng Wang, Shengping Zhang, Xuelong Li, Xindong Wu:
Spatiochromatic Context Modeling for Color Saliency Analysis. IEEE Trans. Neural Netw. Learning Syst. 27(6): 1177-1189 (2016) - [c171]Yinfeng Zhao, Lei Li, Xindong Wu:
Link Prediction-Based Multi-label Classification on Networked Data. DSC 2016: 61-68 - [c170]Lei Sang, Fei Xie, Xiaojian Liu, Xindong Wu:
WEFEST: Word Embedding Feature Extension for Short Text Classification. ICDM Workshops 2016: 677-683 - [c169]Pei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu:
Concept Based Short Text Stream Classification with Topic Drifting Detection. ICDM 2016: 1009-1014 - [c168]Zhong-Qiu Zhao, Kewen Cheng, Qinmu Peng, Xindong Wu:
A Real-Time Head Pose Estimation Using Adaptive POSIT Based on Modified Supervised Descent Method. ICIC (1) 2016: 74-85 - [c167]Zhong-Qiu Zhao, Zhen-Wei Hao, Run Su, Xindong Wu:
Single Image Super Resolution with Neighbor Embedding and In-place Patch Matching. ICIC (2) 2016: 493-502 - [c166]Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu:
Topic Discovery from Heterogeneous Texts. ICTAI 2016: 196-203 - [e29]Francesco Bonchi, Josep Domingo-Ferrer, Ricardo A. Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016 [contents] - [e28]Carlotta Domeniconi, Francesco Gullo, Francesco Bonchi, Josep Domingo-Ferrer, Ricardo A. Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016 [contents] - [i7]Kui Yu, Wei Ding, Xindong Wu:
LOFS: Library of Online Streaming Feature Selection. CoRR abs/1603.00531 (2016) - [i6]Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhongqiu Zhao, Xuegang Hu, Xindong Wu:
Online Feature Selection with Group Structure Analysis. CoRR abs/1608.05889 (2016) - [i5]Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu:
Topic Modeling over Short Texts by Incorporating Word Embeddings. CoRR abs/1609.08496 (2016) - [i4]Xiang Jiang, Shikui Wei, Ruizhen Zhao, Yao Zhao, Xindong Wu:
Camera Fingerprint: A New Perspective for Identifying User's Identity. CoRR abs/1610.07728 (2016) - 2015
- [j159]Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang:
An Incremental Decision Tree for Mining Multilabel Data. Applied Artificial Intelligence 29(10): 992-1014 (2015) - [j158]Youxi Wu, Shuai Fu, He Jiang, Xindong Wu:
Strict approximate pattern matching with general gaps. Appl. Intell. 42(3): 566-580 (2015) - [j157]Xindong Wu, Huanhuan Chen, Gong-Qing Wu, Jun Liu, Qinghua Zheng, Xiaofeng He, Aoying Zhou, Zhong-Qiu Zhao, Bifan Wei, Yang Li, Qiping Zhang, Shichao Zhang:
Knowledge Engineering with Big Data. IEEE Intelligent Systems 30(5): 46-55 (2015) - [j156]Zhong-Qiu Zhao, Yiu-ming Cheung, Haibo Hu, Xindong Wu:
Expanding dictionary for robust face recognition: pixel is not necessary while sparsity is. IET Computer Vision 9(5): 648-654 (2015) - [j155]Zhong-Qiu Zhao, Lin-Hai Ma, Yiu-ming Cheung, Xindong Wu, Yuan Yan Tang, Chun Lung Philip Chen:
ApLeaf: An efficient android-based plant leaf identification system. Neurocomputing 151: 1112-1119 (2015) - [j154]Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang:
Learning concept-drifting data streams with random ensemble decision trees. Neurocomputing 166: 68-83 (2015) - [j153]Donghui Hu, Bin Su, Shuli Zheng, Zhong-Qiu Zhao, Xintao Wu, Xindong Wu:
Security and privacy protocols for perceptual image hashing. IJSNet 17(3): 146-162 (2015) - [j152]Yusheng Cheng, Wenfa Zhan, Xindong Wu, Yuzhou Zhang:
Automatic determination about precision parameter value based on inclusion degree with variable precision rough set model. Inf. Sci. 290: 72-85 (2015) - [j151]Ahmed Abdeen Hamed, Xindong Wu, Robert Erickson, Tamer Fandy:
Twitter K-H networks in action: Advancing biomedical literature for drug search. Journal of Biomedical Informatics 56: 157-168 (2015) - [j150]Abdullah N. Arslan, Dan He, Yu He, Xindong Wu:
Pattern matching with wildcards and length constraints using maximum network flow. J. Discrete Algorithms 35: 9-16 (2015) - [j149]Jing Zhang, Victor S. Sheng, Bryce Nicholson, Xindong Wu:
CEKA: a tool for mining the wisdom of crowds. Journal of Machine Learning Research 16: 2853-2858 (2015) - [j148]Huawen Liu, Zongjie Ma, Shichao Zhang, Xindong Wu:
Penalized partial least square discriminant analysis with l1 for multi-label data. Pattern Recognition 48(5): 1724-1733 (2015) - [j147]Yuhong Zhang, Xuegang Hu, Pei-Pei Li, Lei Li, Xindong Wu:
Cross-domain sentiment classification-feature divergence, polarity divergence or both? Pattern Recognition Letters 65: 44-50 (2015) - [j146]Jing Zhang, Xindong Wu, Victor S. Sheng:
Active Learning With Imbalanced Multiple Noisy Labeling. IEEE Trans. Cybernetics 45(5): 1081-1093 (2015) - [j145]
- [j144]Yuqiang Fang, Ruili Wang, Bin Dai, Xindong Wu:
Graph-Based Learning via Auto-Grouped Sparse Regularization and Kernelized Extension. IEEE Trans. Knowl. Data Eng. 27(1): 142-154 (2015) - [j143]Jifeng Xuan, He Jiang, Yan Hu, Zhilei Ren, Weiqin Zou, Zhongxuan Luo, Xindong Wu:
Towards Effective Bug Triage with Software Data Reduction Techniques. IEEE Trans. Knowl. Data Eng. 27(1): 264-280 (2015) - [j142]Zhenyu Lu, Xindong Wu, Josh C. Bongard:
Active Learning through Adaptive Heterogeneous Ensembling. IEEE Trans. Knowl. Data Eng. 27(2): 368-381 (2015) - [j141]Jing Zhang, Xindong Wu, Victor S. Sheng:
Imbalanced Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 27(2): 489-503 (2015) - [j140]Meng Wang, Xueliang Liu, Xindong Wu:
Visual Classification by ℓ1-Hypergraph Modeling. IEEE Trans. Knowl. Data Eng. 27(9): 2564-2574 (2015) - [j139]Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu:
A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity. IEEE Trans. Knowl. Data Eng. 27(10): 2604-2617 (2015) - [j138]Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhong-Qiu Zhao, Xuegang Hu, Xindong Wu:
Online Feature Selection with Group Structure Analysis. IEEE Trans. Knowl. Data Eng. 27(11): 3029-3041 (2015) - [c165]Jing Zhang, Victor S. Sheng, Jian Wu, Xiaoqin Fu, Xindong Wu:
Improving Label Quality in Crowdsourcing Using Noise Correction. CIKM 2015: 1931-1934 - [c164]Qingren Wang, Youhua Zhang, Fei Xie, Xindong Wu:
Prediction of rice brown planthoppers based on system dynamics. FSKD 2015: 2559-2564 - [c163]Jun Huang, Guorong Li, Qingming Huang, Xindong Wu:
Learning Label Specific Features for Multi-label Classification. ICDM 2015: 181-190 - [c162]