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Semantic ScholarXindong Wu 0001
Person information
- affiliation: Mininglamp Academy of Sciences
- 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 0002 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
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2020 – today
- 2020
[j240]Huiting Liu, Huimin Liu, Qiang Ji, Peng Zhao, Xindong Wu:
Collaborative deep recommendation with global and local item correlations. Neurocomputing 385: 278-291 (2020)- [j239]Hao Wang, Zhaolong Ling
, Kui Yu, Xindong Wu:
Towards efficient and effective discovery of Markov blankets for feature selection. Inf. Sci. 509: 227-242 (2020) - [j238]Jiajing Zhu, Yongguo Liu, Hao Wu, Zhi Chen, Yun Zhang, Shangming Yang, Changhong Yang, Wen Yang, Xindong Wu:
A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks. Inf. Sci. 518: 95-112 (2020) - [j237]Youxi Wu, Changrui Zhu, Yan Li, Lei Guo, Xindong Wu:
NetNCSP: Nonoverlapping closed sequential pattern mining. Knowl. Based Syst. 196: 105812 (2020) - [c196]Jeevithan Alagurajah, Xu Yuan, Xindong Wu:
Scale invariant learning from trapezoidal data streams. SAC 2020: 505-508
2010 – 2019
- 2019
- [j236]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) - [j235]Huiting Liu, Lili Wang, Peng Zhao, Xindong Wu:
Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations. IEEE Access 7: 167507-167520 (2019) - [j234]Jipeng Qiang, Yun Li, Yunhao Yuan, Wei Liu, Xindong Wu:
A practical algorithm for solving the sparseness problem of short text clustering. Intell. Data Anal. 23(3): 701-716 (2019) - [j233]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
Multi-modal multi-view Bayesian semantic embedding for community question answering. Neurocomputing 334: 44-58 (2019) - [j232]Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu:
Transfer learning with deep manifold regularized auto-encoders. Neurocomputing 369: 145-154 (2019) - [j231]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
Online streaming feature selection using adapted Neighborhood Rough Set. Inf. Sci. 481: 258-279 (2019) - [j230]Lei Li, Yuqi Chu, Guanfeng Liu, Xindong Wu:
Multi-Objective Optimization-Based Networked Multi-Label Active Learning. J. Database Manag. 30(2): 1-26 (2019) - [j229]Minghui Wu, Xindong Wu:
On big wisdom. Knowl. Inf. Syst. 58(1): 1-8 (2019) - [j228]Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu:
OFS-Density: A novel online streaming feature selection method. Pattern Recognit. 86: 48-61 (2019) - [j227]Deepak Puthal, Xindong Wu, Surya Nepal, Rajiv Ranjan, Jinjun Chen:
SEEN: A Selective Encryption Method to Ensure Confidentiality for Big Sensing Data Streams. IEEE Trans. Big Data 5(3): 379-392 (2019) - [j226]Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu:
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. ACM Trans. Intell. Syst. Technol. 10(5): 52:1-52:25 (2019) - [j225]Huan Wang, Jia Wu, Wenbin Hu, Xindong Wu:
Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks. ACM Trans. Knowl. Discov. Data 13(1): 12:1-12:24 (2019) - [j224]Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu:
Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization. ACM Trans. Knowl. Discov. Data 13(4): 42:1-42:21 (2019) - [j223]Victor S. Sheng, Jing Zhang, Bin Gu, Xindong Wu:
Majority Voting and Pairing with Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 31(7): 1355-1368 (2019) - [j222]Ruqian Lu, Xiaolong Jin, Songmao Zhang, Meikang Qiu, Xindong Wu:
A Study on Big Knowledge and Its Engineering Issues. IEEE Trans. Knowl. Data Eng. 31(9): 1630-1644 (2019) - [j221]Zhong-Qiu Zhao, Peng Zheng, Shou-tao Xu, Xindong Wu:
Object Detection With Deep Learning: A Review. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3212-3232 (2019) - [j220]He Jiang, Jingxuan Zhang, Xiaochen Li, Zhilei Ren, David Lo, Xindong Wu, Zhongxuan Luo:
Recommending New Features from Mobile App Descriptions. ACM Trans. Softw. Eng. Methodol. 28(4): 22:1-22:29 (2019) - [c195]Ege Beyazit, Jeevithan Alagurajah, Xindong Wu:
Online Learning from Data Streams with Varying Feature Spaces. AAAI 2019: 3232-3239 - [c194]Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu:
Online Feature Selection with Capricious Streaming Features: A General Framework. BigData 2019: 683-688 - [c193]Shaojing Sheng, Peng Zhou, Xindong Wu:
CEPV: A Tree Structure Information Extraction and Visualization Tool for Big Knowledge Graph. ICBK 2019: 221-228 - [c192]Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu:
Local Graph Edge Partitioning with a Two-Stage Heuristic Method. ICDCS 2019: 228-237 - [c191]Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu:
Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks. ICDM 2019: 1138-1143 - [c190]Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang:
Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest. ICDM 2019: 1540-1545 - [c189]Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu:
Online Learning from Capricious Data Streams: A Generative Approach. IJCAI 2019: 2491-2497 - [c188]Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu:
AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding. PAKDD (3) 2019: 3-14 - [c187]Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu:
A Data-Aware Latent Factor Model for Web Service QoS Prediction. PAKDD (1) 2019: 384-399 - [c186]Tingting Jiang, Chenyang Bu, Yi Zhu, Xindong Wu:
Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment. PRICAI (1) 2019: 162-175 - [e34]Yunjun Gao, Ralf Möller, Xindong Wu, Ramamohanarao Kotagiri:
2019 IEEE International Conference on Big Knowledge, ICBK 2019, Beijing, China, November 10-11, 2019. IEEE 2019, ISBN 978-1-7281-4607-2 [contents] - [e33]Jianyong Wang, Kyuseok Shim, Xindong Wu:
2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019. IEEE 2019, ISBN 978-1-7281-4604-1 [contents] - [i14]Jipeng Qiang, Zhenyu Qian, Yun Li, Yunhao Yuan, Xindong Wu:
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey. CoRR abs/1904.07695 (2019) - [i13]Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu:
A Simple BERT-Based Approach for Lexical Simplification. CoRR abs/1907.06226 (2019) - [i12]Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu:
Causality-based Feature Selection: Methods and Evaluations. CoRR abs/1911.07147 (2019) - 2018
- [j219]Youxi Wu, Shasha Li, Jingyu Liu, Lei Guo, Xindong Wu:
NETASPNO: Approximate Strict Pattern Matching Under Nonoverlapping Condition. IEEE Access 6: 24350-24361 (2018) - [j218]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) - [j217]Qingren Wang, Victor S. Sheng, Xindong Wu:
Document-specific keyphrase candidate search and ranking. Expert Syst. Appl. 97: 163-176 (2018) - [j216]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) - [j215]Jiamiao Wang, Xindong Wu, Lei Li:
A framework for semantic connection based topic evolution with DeepWalk. Intell. Data Anal. 22(1): 211-237 (2018) - [j214]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) - [j213]Huiting Liu, Liangquan Yang, Chao Ling, Xindong Wu:
Collaborative social deep learning for celebrity recommendation. Intell. Data Anal. 22(6): 1375-1394 (2018) - [j212]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) - [j211]Lei Li, Chuan Zhou, Jianping He, Jiamiao Wang, Xin Li, Xindong Wu:
Collective semantic behavior extraction in social networks. J. Comput. Sci. 28: 236-244 (2018) - [j210]Xindong Wu:
Welcoming two new Co-Editors-in-Chief for KAIS. Knowl. Inf. Syst. 54(1): 1-3 (2018) - [j209]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) - [j208]Na Liu, Fei Xie, Xindong Wu:
Multi-pattern matching with variable-length wildcards using suffix tree. Pattern Anal. Appl. 21(4): 1151-1165 (2018) - [j207]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. Cybern. 48(2): 661-674 (2018) - [j206]Jun Huang, Guorong Li, Qingming Huang, Xindong Wu:
Joint Feature Selection and Classification for Multilabel Learning. IEEE Trans. Cybern. 48(3): 876-889 (2018) - [j205]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. Cybern. 48(9): 2697-2711 (2018) - [j204]Youxi Wu, Yao Tong, Xingquan Zhu, Xindong Wu:
NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints. IEEE Trans. Cybern. 48(10): 2809-2822 (2018) - [j203]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. Intell. Transp. Syst. 19(7): 2305-2315 (2018) - [j202]Xindong Wu, Charu C. Aggarwal:
Editorial: TKDD Special Issue on Interactive Data Exploration and Analytics. ACM Trans. Knowl. Discov. Data 12(1): 1:1 (2018) - [j201]Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu:
Employing Semantic Context for Sparse Information Extraction Assessment. ACM Trans. Knowl. Discov. Data 12(5): 54:1-54:36 (2018) - [j200]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) - [j199]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) - [j198]Jing Zhang, Victor S. Sheng, Tao Li, Xindong Wu:
Improving Crowdsourced Label Quality Using Noise Correction. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1675-1688 (2018) - [c185]Xindong Wu:
Knowledge Graph for Public Security Analytics. KDIR 2018: 17-31 - [c184]Ege Beyazit, Matin Hosseini, Anthony Maida, Xindong Wu:
Learning Simplified Decision Boundaries from Trapezoidal Data Streams. ICANN (1) 2018: 508-517 - [c183]Xiaoyi Fu, Xinqi Ren, Ole J. Mengshoel, Xindong Wu:
Stochastic Optimization for Market Return Prediction Using Financial Knowledge Graph. ICBK 2018: 25-32 - [c182]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 - [c181]Minghui Wu, Xindong Wu:
On Big Wisdom. ICDM 2018: 1-2 - [c180]Jiamiao Wang, Ling Chen, Lu Qin, Xindong Wu:
ASTM: An Attentional Segmentation Based Topic Model for Short Texts. ICDM 2018: 577-586 - [c179]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu:
Feature-Induced Partial Multi-label Learning. ICDM 2018: 1398-1403 - [c178]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 - [c177]Weijie Fu, Meng Wang, Shijie Hao, Xindong Wu:
Scalable Active Learning by Approximated Error Reduction. KDD 2018: 1396-1405 - [c176]Jing Zhang, Xindong Wu:
Multi-Label Inference for Crowdsourcing. KDD 2018: 2738-2747 - [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
- [j197]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) - [j196]Jiamiao Wang, Lei Li, Xindong Wu:
LDA-Based Topic Strength Analysis. Comput. Informatics 36(6): 1283-1311 (2017) - [j195]Youxi Wu, Cong Shen, He Jiang, Xindong Wu:
Strict pattern matching under non-overlapping condition. Sci. China Inf. Sci. 60(1): 12101 (2017) - [j194]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) - [j193]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) - [j192]Fei Xie, Xindong Wu, Xingquan Zhu:
Efficient sequential pattern mining with wildcards for keyphrase extraction. Knowl. Based Syst. 115: 27-39 (2017) - [j191]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) - [j190]Peng Zheng, Zhong-Qiu Zhao, Jun Gao, Xindong Wu:
Image set classification based on cooperative sparse representation. Pattern Recognit. 63: 206-217 (2017) - [j189]Dongkuan Xu, Jia Wu, Dewei Li, Yingjie Tian, Xingquan Zhu, Xindong Wu:
SALE: Self-adaptive LSH encoding for multi-instance learning. Pattern Recognit. 71: 460-482 (2017) - [j188]Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu:
Positive and Unlabeled Multi-Graph Learning. IEEE Trans. Cybern. 47(4): 818-829 (2017) - [j187]Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li, Xindong Wu:
Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information. IEEE Trans. Fuzzy Syst. 25(6): 1491-1507 (2017) - [j186]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) - [j185]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) - [j184]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) - [j183]Binxing Fang, Yan Jia, Xiaoyong Li, Aiping Li, Xindong Wu:
Big Search in Cyberspace. IEEE Trans. Knowl. Data Eng. 29(9): 1793-1805 (2017) - [j182]ShuiGuang Deng, Longtao Huang, Guandong Xu, Xindong Wu, Zhaohui Wu:
On Deep Learning for Trust-Aware Recommendations in Social Networks. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1164-1177 (2017) - [j181]Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Chunhua Ju, Xindong Wu:
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1263-1275 (2017) - [j180]Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang:
Markov Blanket Feature Selection Using Representative Sets. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2775-2788 (2017) - [c175]Qingren Wang, Victor S. Sheng, Xindong Wu:
Keyphrase Extraction with Sequential Pattern Mining. AAAI 2017: 5003-5004 - [c174]Jin He, Lei Li, Xindong Wu:
A Self-Adaptive Sliding Window Based Topic Model for Non-uniform Texts. ICDM 2017: 147-156 - [c173]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
- [j179]Jing Zhang, Xindong Wu, Victor S. Sheng:
Learning from crowdsourced labeled data: a survey. Artif. Intell. Rev. 46(4): 543-576 (2016) - [j178]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) - [j177]Lei Li, Jianping He, Meng Wang, Xindong Wu:
Trust Agent-Based Behavior Induction in Social Networks. IEEE Intell. Syst. 31(1): 24-30 (2016) - [j176]Huawen Liu, Xindong Wu, Shichao Zhang:
Neighbor selection for multilabel classification. Neurocomputing 182: 187-196 (2016) - [j175]Yaojin Lin, Qinghua Hu, Jia Zhang, Xindong Wu:
Multi-label feature selection with streaming labels. Inf. Sci. 372: 256-275 (2016) - [j174]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) - [j173]Youxi Wu, Zhiqiang Tang, He Jiang, Xindong Wu:
Approximate pattern matching with gap constraints. J. Inf. Sci. 42(5): 639-658 (2016) - [j172]Hao Wang, Haiping Wang, Xindong Wu:
带有通配符和长度约束的模式匹配问题求解模型 (Models for Pattern Matching with Wildcards and Length Constraints). 计算机科学 43(4): 279-283 (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 Recognit. 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. ACM Trans. Knowl. Discov. Data 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 Networks Learn. Syst. 27(6): 1177-1189 (2016) - [c172]