国际会议
2020年
[1] Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu. Lexical Simplification with Pretrained Encoders. AAAI 2020: 8649-8656.
[2] Yi He, Baijun Wu, Di Wu, Xindong Wu. On Partial Multi-Task Learning. ECAI 2020: 1174-1181.
[3] Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu: A Speech-to-Knowledge-Graph Construction System. IJCAI 2020: 5303-5305
[4] Yi He, Sheng Chen, Thu Nguyen , Bruce A. Wade, Xindong Wu: Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. SDM 2020: 334-342
[5] Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu: LSBert: A Simple Framework for Lexical Simplification. CoRR abs/2006.14939 (2020)
[6] Jipeng Qiang, Xinyu Lu, Yun Li, Yunhao Yuan, Yang Shi, Xindong Wu: Chinese Lexical Simplification. CoRR abs/2010.07048 (2020)
[7] Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu: A Survey on Large-scale Machine Learning. CoRR abs/2008.03911 (2020)
[8] Xindong Wu, Tingting Jiang, Yi Zhu, and Chenyang Bu. Knowledge Graph for China's Genealogy. IEEE International Conference on Knowledge Graph (ICKG 2020), IEEE,2020. ICKG Best Paper.
[9] Guliu Liu, Lei Li. Knowledge Fragment Cleaning in a Genealogy Knowledge Graph. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE,2020. EI.
[10] Xindong Wu, Shaojing Sheng and Peng Zhou. Balanced Tree Partitioning with Succinct Logic. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE,2020. EI.
[11] Jianxuan Shao, Guliu Liu, Shengwei Ji. An Abnormal Data Analysis and Processing Method for Genealogy Graph Databases. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE,2020. EI.
[12] Lei Sang, Lei Li. “Neural Collaborative Recommendation with Knowledge Graph”，11th IEEE International Conference on Knowledge Graph (ICKG), 2020. EI.
[13] Lingfeng Zhong, Yi Zhu. Relation Extraction with Proactive Domain Adaptation Strategy. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE, 2020. EI.
[14] Yan Hong, Chenyang Bu, Tingting Jiang. Rule-enhanced Noisy Knowledge Graph Embedding via Low-quality Error Detection. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE,2020. EI.
[15] Liu, Xiaojian, Yi Zhu, and Shengwei Ji. "Web Log Analysis in Genealogy System." 2020 IEEE International Conference on Knowledge Graph (ICKG). IEEE, 2020.
[16] G. Wu, S. Hu, Y. Wang, Z. Zhang and X. Bao, "Subject Event Extraction from Chinese Court Verdict Case via Frame-filling," in 2020 IEEE International Conference on Knowledge Graph (ICKG), Nanjing, China, 2020 pp. 12-19.doi: 10.1109/ICBK50248.2020.00012
2019年
[1] Xinyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, and Chunyan Miao. Multi-label Causal Feature Selection. The 34th AAAI Conference on Artificial Intelligence (AAAI'20), February 7-12, 2020, New York, USA. （CCF A类）
[2] Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen. Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. AAAI 2019: 3983-3990. （CCF A类）
[3] Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu, Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu, Lexical Simplification with Pretrained Encoders，Proceedings of AAAI-2020, accepted, to appear. （CCF A类）
[4] Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang, Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest，In: Proceedings of 19th IEEE International Conference on Data Mining (ICDM’19), pp. 1540-1545, 2019. （CCF B类）.
[5] Fei Jie, Chunpai Wang, Feng Chen, Lei Li, and Xindong Wu, Block-Structured Optimization for Subgraph Detection in Interdependent Networks. In: Proceedings of 19th IEEE International Conference on Data Mining (ICDM’19), 2019. （CCF B类）
[6] Shengwei Ji, Chenyang Bu, Lei Li, and Xindong Wu. Local Graph Edge Partitioning with a Two-Stage Heuristic Method. In: Proceedings of the 2019 IEEE International Conference on Distributed Computing Systems (ICDCS’19), pp. 228-237, 2019. (CCF B类)
[7] Tingting Jiang, Chenyang Bu, Yi Zhu, and Xindong Wu. Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment. In: Proceedings of Pacific Rim International Conference on Artificial Intelligence (PRICAI’19), pp.162-175, 2019. (CCF C类)
[8] Shuai Yang, Yuhong Zhang, Yi Zhu, Han Ding, Xuegang Hu. The ? _2, 1 -Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation. In: Proceedings of ICAIS’19, pp. 100-111, 2019.
[9] Zhe Chu, Peipei Li, Xuegang Hu. Co-training based on Semi-supervised Ensemble Classification Approach for Multi-label Data Stream. In: Processing of ICBK 2019.
[10] Jiazhu Xia, Ying He, Yuxin Jin, Xianyu Bao, Gongqing Wu*. An Optimization-based Truth Discovery Method with Claim Relation. In: Proceedings of the 2019 IEEE International Conference on Big Knowledge (ICBK 2019), IEEE, 2019, pp. 289-295.
[11] Yuxin Jin, Ze Yang, Ying He, Xianyu Bao, Gongqing Wu*. Ensemble Classification Method Based on Truth Discovery. Proceedings of the 2019 IEEE International Conference on Big Knowledge (ICBK 2019), IEEE, 2019, pp. 122-128.
[12] Mengmeng Huang, Xianyu Bao, Gongqing Wu*. Chinese Temporal Expression Recognition Combining Rules with a Statistical model. In: Proceedings of the 15th International Conference on Intelligent Computing (ICIC 2019), LNAI 11645, pp. 455?C467, 2019.
[13] Di Wu, Yi He, Xin Luo, Mingsheng Shang, and Xindong Wu, Online Feature Selection with Capricious Streaming Features: A General Framework, In: Proceedings of the IEEE International Conference on Big Data, 2019.
2018年
[1]Jiamiao Wang, Ling Chen, Lu Qin, and Xindong Wu. ASTM: An Attentional Segmentation based Topic Model for Short Texts. 2018 IEEE International Conference on Data Mining (ICDM 2018), Aug. 2018.
[2]Ruilong Zhang, Lei Li, Yuhong Zhang, Chenyang Bu, Imbalanced Networked Multi-label Classification with Active Learning, 2018 IEEE International Conference on Big Knowledge (ICBK 2018), 290-297, 2018.
[3]Yingchun Shan, Chenyang Bu, Xiaojian Liu, Shengwei Ji, Lei Li, Confidence-aware Negative Sampling Method for Noisy Knowledge Graph Embedding, 2018 IEEE International Conference on Big Knowledge (ICBK 2018), 33-40, 2018.
[4]Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu, Multi-Target Core Network-based Networked Multi-label Classification, 2018 IEEE International Conference on Big Knowledge (ICBK 2018), 274-281, 2018.
[5]Feng Yao, Ang Li, Ping Ding, Lei Li, Nuclear Clustering Algorithm on State Grid's IT Operation Log, 2018 International Conference on Security, Pattern Analysis, and Cybernetics ( IEEE SPAC 2018), 2018.
[6]Yishun Jiang, Gongqing Wu, Chenyang Bu, and Xuegang Hu, Chinese entity relation extraction based on syntactic features, in Proceedings of the 9th IEEE International Conference on Big Knowledge, 2018.
[7]Y. Shan, C. Bu, X. Liu, S. Ji, and L. Li, "Confidence-Aware Negative Sampling Method for Noisy Knowledge Graph Embedding," in 8th IEEE International Conference on Big Knowledge, 2018.
2017年
[1]Qingren Wang, Victor S. Sheng, & Xindong Wu. Keyphrase Extraction with Sequential Pattern Mining. In Proceedings of the 31st AAAI Conference on Artificial Intelligence, 2017. San Francisco, California, USA, AAAI Publications. (post)
[2]Jiamiao Wang, Xindong Wu, and Lei Li. Semantic Connection based Topic
Evolution. In: Proceedings of 31st National Conference on Artificial Intelligence (AAAI), pp. 5001-5002, 2017.
[3]Jin He, Lei Li, Xindong Wu, A Self-adaptive Sliding Window based Topic Model for Non-uniform Texts, 2017 IEEE International Conference on Data Mining (ICDM 2017), 147-156, 2017.
[4]Qingren Wang, Victor S. Sheng, Chenyi Hu. Keyphrase Extraction Using Sequential Pattern Mining and Entropy. In Proceedings of the 2017 IEEE International Conference on Big Knowledge (ICBK), Hefei, China, pp. 88-95.
[5]Desheng Cai, Jingjing He, Gongqing Wu, and Xuegang Hu. Synonymous Entity Recognition based on Feature Fusion. In: Proceedings of International Conference on Big Knowledge (ICBK’17), pp: 161-166, 2017.
[6]Liangliang Wang and Gongqing Wu. A Method Study of Online Publication Time Extraction for Chinese Web News. In: Proceedings of International Conference on Big Knowledge (ICBK’17), pp: 242-247, 2017.
[7]Peng Zhou, Xuegang Hu, Peipei Li. A New Online Feature Selection Method Using Neighborhood Rough Set. In: Proceedings of International Conference on Big Knowledge (ICBK’17), pp: 135-142, 2017.
2016年
[1] Lu Liu, Jing Zhang, Peipei Li, Yuhong Zhang, and Xuegang Hu. A Label Correlation based weighting Multi-Label Feature Selection method. In: Proceedings of WAIM, pp. 369-379, 2016.
[2] 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.
[3] 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.
[4] Yinfeng Zhao, Lei Li, Xindong Wu: Link Prediction-based Multi-label Classification on Networked Data, 2016 IEEE International Conference on Data Science in Cyberspace (IEEE DSC 2016), 2016.
2015年
[1] Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu. Lexical Simplification with Pretrained Encoders. AAAI 2020: 8649-8656.
[2] Yi He, Baijun Wu, Di Wu, Xindong Wu. On Partial Multi-Task Learning. ECAI 2020: 1174-1181.
[3] Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu: A Speech-to-Knowledge-Graph Construction System. IJCAI 2020: 5303-5305
[4] Yi He, Sheng Chen, Thu Nguyen , Bruce A. Wade, Xindong Wu: Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. SDM 2020: 334-342
[5] Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu: LSBert: A Simple Framework for Lexical Simplification. CoRR abs/2006.14939 (2020)
[6] Jipeng Qiang, Xinyu Lu, Yun Li, Yunhao Yuan, Yang Shi, Xindong Wu: Chinese Lexical Simplification. CoRR abs/2010.07048 (2020)
[7] Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu: A Survey on Large-scale Machine Learning. CoRR abs/2008.03911 (2020)
[8] Xindong Wu, Tingting Jiang, Yi Zhu, and Chenyang Bu. Knowledge Graph for China's Genealogy. IEEE International Conference on Knowledge Graph (ICKG 2020), IEEE,2020. ICKG Best Paper.
[9] Guliu Liu, Lei Li. Knowledge Fragment Cleaning in a Genealogy Knowledge Graph. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE,2020. EI.
[10] Xindong Wu, Shaojing Sheng and Peng Zhou. Balanced Tree Partitioning with Succinct Logic. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE,2020. EI.
[11] Jianxuan Shao, Guliu Liu, Shengwei Ji. An Abnormal Data Analysis and Processing Method for Genealogy Graph Databases. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE,2020. EI.
[12] Lei Sang, Lei Li. “Neural Collaborative Recommendation with Knowledge Graph”，11th IEEE International Conference on Knowledge Graph (ICKG), 2020. EI.
[13] Lingfeng Zhong, Yi Zhu. Relation Extraction with Proactive Domain Adaptation Strategy. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE, 2020. EI.
[14] Yan Hong, Chenyang Bu, Tingting Jiang. Rule-enhanced Noisy Knowledge Graph Embedding via Low-quality Error Detection. IEEE International Conference on Knowledge Graph (ICKG 2020). IEEE,2020. EI.
[15] Liu, Xiaojian, Yi Zhu, and Shengwei Ji. "Web Log Analysis in Genealogy System." 2020 IEEE International Conference on Knowledge Graph (ICKG). IEEE, 2020.
[16] G. Wu, S. Hu, Y. Wang, Z. Zhang and X. Bao, "Subject Event Extraction from Chinese Court Verdict Case via Frame-filling," in 2020 IEEE International Conference on Knowledge Graph (ICKG), Nanjing, China, 2020 pp. 12-19.doi: 10.1109/ICBK50248.2020.00012
2019年
[1] Xinyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, and Chunyan Miao. Multi-label Causal Feature Selection. The 34th AAAI Conference on Artificial Intelligence (AAAI'20), February 7-12, 2020, New York, USA. （CCF A类）
[2] Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen. Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. AAAI 2019: 3983-3990. （CCF A类）
[3] Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu, Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu, Lexical Simplification with Pretrained Encoders，Proceedings of AAAI-2020, accepted, to appear. （CCF A类）
[4] Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang, Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest，In: Proceedings of 19th IEEE International Conference on Data Mining (ICDM’19), pp. 1540-1545, 2019. （CCF B类）.
[5] Fei Jie, Chunpai Wang, Feng Chen, Lei Li, and Xindong Wu, Block-Structured Optimization for Subgraph Detection in Interdependent Networks. In: Proceedings of 19th IEEE International Conference on Data Mining (ICDM’19), 2019. （CCF B类）
[6] Shengwei Ji, Chenyang Bu, Lei Li, and Xindong Wu. Local Graph Edge Partitioning with a Two-Stage Heuristic Method. In: Proceedings of the 2019 IEEE International Conference on Distributed Computing Systems (ICDCS’19), pp. 228-237, 2019. (CCF B类)
[7] Tingting Jiang, Chenyang Bu, Yi Zhu, and Xindong Wu. Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment. In: Proceedings of Pacific Rim International Conference on Artificial Intelligence (PRICAI’19), pp.162-175, 2019. (CCF C类)
[8] Shuai Yang, Yuhong Zhang, Yi Zhu, Han Ding, Xuegang Hu. The ? _2, 1 -Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation. In: Proceedings of ICAIS’19, pp. 100-111, 2019.
[9] Zhe Chu, Peipei Li, Xuegang Hu. Co-training based on Semi-supervised Ensemble Classification Approach for Multi-label Data Stream. In: Processing of ICBK 2019.
[10] Jiazhu Xia, Ying He, Yuxin Jin, Xianyu Bao, Gongqing Wu*. An Optimization-based Truth Discovery Method with Claim Relation. In: Proceedings of the 2019 IEEE International Conference on Big Knowledge (ICBK 2019), IEEE, 2019, pp. 289-295.
[11] Yuxin Jin, Ze Yang, Ying He, Xianyu Bao, Gongqing Wu*. Ensemble Classification Method Based on Truth Discovery. Proceedings of the 2019 IEEE International Conference on Big Knowledge (ICBK 2019), IEEE, 2019, pp. 122-128.
[12] Mengmeng Huang, Xianyu Bao, Gongqing Wu*. Chinese Temporal Expression Recognition Combining Rules with a Statistical model. In: Proceedings of the 15th International Conference on Intelligent Computing (ICIC 2019), LNAI 11645, pp. 455?C467, 2019.
[13] Di Wu, Yi He, Xin Luo, Mingsheng Shang, and Xindong Wu, Online Feature Selection with Capricious Streaming Features: A General Framework, In: Proceedings of the IEEE International Conference on Big Data, 2019.
2018年
[1]Jiamiao Wang, Ling Chen, Lu Qin, and Xindong Wu. ASTM: An Attentional Segmentation based Topic Model for Short Texts. 2018 IEEE International Conference on Data Mining (ICDM 2018), Aug. 2018.
[2]Ruilong Zhang, Lei Li, Yuhong Zhang, Chenyang Bu, Imbalanced Networked Multi-label Classification with Active Learning, 2018 IEEE International Conference on Big Knowledge (ICBK 2018), 290-297, 2018.
[3]Yingchun Shan, Chenyang Bu, Xiaojian Liu, Shengwei Ji, Lei Li, Confidence-aware Negative Sampling Method for Noisy Knowledge Graph Embedding, 2018 IEEE International Conference on Big Knowledge (ICBK 2018), 33-40, 2018.
[4]Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu, Multi-Target Core Network-based Networked Multi-label Classification, 2018 IEEE International Conference on Big Knowledge (ICBK 2018), 274-281, 2018.
[5]Feng Yao, Ang Li, Ping Ding, Lei Li, Nuclear Clustering Algorithm on State Grid's IT Operation Log, 2018 International Conference on Security, Pattern Analysis, and Cybernetics ( IEEE SPAC 2018), 2018.
[6]Yishun Jiang, Gongqing Wu, Chenyang Bu, and Xuegang Hu, Chinese entity relation extraction based on syntactic features, in Proceedings of the 9th IEEE International Conference on Big Knowledge, 2018.
[7]Y. Shan, C. Bu, X. Liu, S. Ji, and L. Li, "Confidence-Aware Negative Sampling Method for Noisy Knowledge Graph Embedding," in 8th IEEE International Conference on Big Knowledge, 2018.
2017年
[1]Qingren Wang, Victor S. Sheng, & Xindong Wu. Keyphrase Extraction with Sequential Pattern Mining. In Proceedings of the 31st AAAI Conference on Artificial Intelligence, 2017. San Francisco, California, USA, AAAI Publications. (post)
[2]Jiamiao Wang, Xindong Wu, and Lei Li. Semantic Connection based Topic
Evolution. In: Proceedings of 31st National Conference on Artificial Intelligence (AAAI), pp. 5001-5002, 2017.
[3]Jin He, Lei Li, Xindong Wu, A Self-adaptive Sliding Window based Topic Model for Non-uniform Texts, 2017 IEEE International Conference on Data Mining (ICDM 2017), 147-156, 2017.
[4]Qingren Wang, Victor S. Sheng, Chenyi Hu. Keyphrase Extraction Using Sequential Pattern Mining and Entropy. In Proceedings of the 2017 IEEE International Conference on Big Knowledge (ICBK), Hefei, China, pp. 88-95.
[5]Desheng Cai, Jingjing He, Gongqing Wu, and Xuegang Hu. Synonymous Entity Recognition based on Feature Fusion. In: Proceedings of International Conference on Big Knowledge (ICBK’17), pp: 161-166, 2017.
[6]Liangliang Wang and Gongqing Wu. A Method Study of Online Publication Time Extraction for Chinese Web News. In: Proceedings of International Conference on Big Knowledge (ICBK’17), pp: 242-247, 2017.
[7]Peng Zhou, Xuegang Hu, Peipei Li. A New Online Feature Selection Method Using Neighborhood Rough Set. In: Proceedings of International Conference on Big Knowledge (ICBK’17), pp: 135-142, 2017.
2016年
[1] Lu Liu, Jing Zhang, Peipei Li, Yuhong Zhang, and Xuegang Hu. A Label Correlation based weighting Multi-Label Feature Selection method. In: Proceedings of WAIM, pp. 369-379, 2016.
[2] 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.
[3] 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.
[4] Yinfeng Zhao, Lei Li, Xindong Wu: Link Prediction-based Multi-label Classification on Networked Data, 2016 IEEE International Conference on Data Science in Cyberspace (IEEE DSC 2016), 2016.
2015年
[1] Jun Zhang, Meng Wang, Jun Gao, Yi Wang, Xudong Zhang, Xindong Wu. Saliency Detection with a Deeper Investigation of Light Field. IJCAI 2015: 2212-2218.
[2] Kui Yu, D. Wang, Wei Ding, Jian Pei, D.L. Small, S. Islam, and Xindong Wu. Tornado Forcasting with Multiple Markov Boundaries. In: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’15), Sydney, NW, Australia, August 10-13, 2015.
2014年
[1] Ahmed Abdeen Hamed, Xindong Wu, Tamer Fandy. Mining patterns in Big Data K-H networks. AICCSA 2014: 176-183.
[2] Ahmed Abdeen Hamed, Xindong Wu. Does Social Media Big Data Make the World Smaller? An Exploratory Analysis of Keyword-Hashtag Networks. BigData Congress 2014: 454-461.
[3] Fei Xie, Xindong Wu, Xingquan Zhu. Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards. ICDM 2014: 1055-1060
[4] Hai-Guang Li, Xindong Wu, Zhao Li. Online learning with mobile sensor data for user recognition. SAC 2014: 64-70.
[5] Kui Yu, Wei Ding, Xindong Wu, and Jian Pei. Towards Scalable and Accurate Online Feature Selection for Big Data. In Proceedings of the 14th IEEE International Conference on Data Mining (ICDM’14), pp. 660-669, Shenzhen, China, December 14-17, 2014.
[6] Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu. 2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014. IEEE 2014, ISBN 978-1-4799-4302-9.
[7] Xindong Wu, Martin Ester, Guandong Xu. 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014. IEEE 2014.
[8] Zhong-Qiu Zhao, Bao-Jian Xie, Yiu-ming Cheung, Xindong Wu. Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample Learning. ACCV (2) 2014: 348-361.
[9] Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu. 2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014. IEEE 2014, ISBN 978-1-4799-4274-9
[10] Haiguang Li, Xindong Wu, Zhao Li. Online learning with mobile sensor data for user recognition. ACM SAC, 2014: 64-70.
[11] Zhao Li, Xindong Wu. Single multiplicatively updated matrix factorization for co-clustering. ACM SAC, 2014: 97-104.
2013年
[1] Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu. Feature Selection by Joint Graph Sparse Coding. SDM, 2013: 803-811.
[2] Ahmed Abdeen Hamed, Xindong Wu, James R. Fingar. A Twitter-based smoking cessation recruitment system. ASONAM, 2013:854-861.
[3] Dan Guo, Taining Xiang, Xuegang Hu, Xindong Wu. Flexible Pattern Matching with Gap-Length and One-Off Conditions. ICTAI, 2013: 446-453.
[4] Haiguang Li, Xindong Wu, Zhao Li, Wei Ding. Group Feature Selection with Streaming Features. ICDM, 2013:1109-1114.
[5] Haiguang Li, Xindong Wu, Zhao Li, Wei Ding. Online Group Feature Selection from Feature Streams. AAAI, 2013: 1627-1628.
[6] Peipei Li, Haixun Wang, Hongsong Li, Xindong Wu. Assessing sparse information extraction using semantic contexts. CIKM, 2013: 1709-1714.
[7] Peipei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xindong Wu. Computing term similarity by large probabilistic isA knowledge. CIKM, 2013:1401-1410.
[8] Xiaomei Li, Xindong Wu, Gongqing Wu, Xuegang Hu. Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection. AAAI, 2013: 1631-1632.
[9] Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam. Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification, KDD, 2013:1285-1293.
[10] Jing Wang, Zhongqiu Zhao, XuegangHu, Yiu-ming Cheung, and Meng Wang.and Xindong Wu. Online group feature selection. In: Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, AAAI Press, 2013: 1757-1763.
[11] Gongqing Wu, Li Li, Xuegang Hu, Xindong Wu. Web News Extraction via Path Ratios. CIKM, 2013: 2059-2068.
[12] Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding. Markov Blanket Feature Selection with Non-Faithful Data Distributions. ICDM, 2013: 857-866.
[13] Jing Zhang, Xindong Wu, Victor S. Sheng. A threshold method for imbalanced multiple noisy labeling. ASONAM, 2013: 61-65
[14] Jing Zhang, Xindong Wu, and Victor Shengli Sheng. Imbalanced Multiple Noisy Labeling for Supervised Learning. AAAI, 2013: 1651-1652.
[15] Shengping Zhu, Jixiang Du, Chuanmin Zhai, Zhongqiu Zhao. Diversifying Plant Image Retrieval with Dimensionality Reduction. IEEE CIS, 2013:428-431.
[16] Xiaofeng Zhu, Zi Huang, Xindong Wu. Multi-View Visual Classification via a Mixed-Norm Regularizer. PAKDD, 2013: 520-531.
2012年
[1] Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu. Self-Taught Active Learning from Crowds. ICDM, 2012:858-863.
[2] Haiguang Li, Zhao Li, Robert T. White, Xindong Wu. A Real-Time Transportation Prediction System. IEA/AIE, 2012: 68-77.
[3] Yingling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Chi Wang. Pattern matching with wildcards based on multiple suffix trees. IEEE International Conference on Granular Computing, 2012: 320-325.
[4] Canyi Lu, Hai Min, Zhongqiu Zhao, Lin Zhu, Deshuang Huang, Shuicheng Yan. Robust and Efficient Subspace Segmentation via Least Squares Regression. European Conference on Computer Vision, 2012: 347-360.
[5] Liqiang Nie, Shuicheng Yan, Meng Wang, Richang Hong, and Tat-Seng Chua. Harvesting Visual Concepts from Image Search with Complex Queries. ACM International Conference on Multimedia, 2012: 59-68.
[6] Jipeng Qiang, Weidong Tian, Dan Guo, Xindong Wu. Online pattern matching with wildcards. IEEE International Conference on Granular Computing, 2012: 394-399.
[7] Jialie Shen, HweeHwa Pang, Meng Wang, Shuicheng Yan. Modeling Concept Dynamics for Large Scale Music Search. ACM International SIGIR Conference, 2012: 455-464.
[8] Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding. Coupled behavior analysis for capturing coupling relationships in group-based market manipulations. KDD, 2012: 976-984.
[9] Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu. Mining emerging patterns by streaming feature selection. KDD, 2012: 60-68.
[10] Jing Zhang, Gongqing Wu, Xuegang Hu, Xindong Wu. A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services. 13th ACM/IEEE International Conference on Grid Computing, 2012:12-21.
2011年
[1] Saeed Abdullah, Xindong Wu. An Epidemic Model for News Spreading on Twitter. ICTAI, 2011: 163-169.
[2] Tianyu Cao, Xindong Wu, Xiaohua Tony Hu, Song Wang. Active Learning of Model Parameters for Influence Maximization. ECML/PKDD, 2011: 280-295.
[3] Xin Chen, Tingting He, Xiaohua Hu, Yuan An, Xindong Wu. Inferring Functional Groups from Microbial Gene Catalogue with Probabilistic Topic Models. BIBM, 2011: 3-9.
[4] Jiajia Feng, Fei Xie, Xuegang Hu, Peipei Li, Jie Cao, Xindong Wu. Keyword extraction based on sequential pattern mining. ICIMCS, 2011: 34-38.
[5] Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu. Cross-Domain Collaborative Filtering over Time. IJCAI, 2011: 2293-2298.
[6] Haiguang Li, Gongqing Wu, Xuegang Hu, Jing Zhang, Lian Li, Xindong Wu: K-Means Clustering with Bagging and MapReduce. HICSS, 2011: 1-8.
[7] Peipei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang. Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. PAKDD, 2011: 313-325.
[8] Zhao Li, Xindong Wu. Weighted Nonnegative Matrix Tri-Factorization for Co-clustering. ICTAI, 2011: 811-816.
[9] Huawen Liu, Xindong Wu, Shichao Zhang. Feature Selection using Hierarchical Feature Clustering. CIKM, 2011: 979-984.
[10] Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao: Causal Associative Classification. ICDM, 2011: 914-923.
[11] Xindong Wu, Fei Xie, Gongqing Wu, Wei Ding. Personalized News Filtering and Summarization on the Web. ICTAI, 2011: 414-421.
2010年
[1] Tianyu Cao, Xindong Wu, Song Wang, and Xiaohua Hu. OASNET: An Optimal Allocation Approach to Influence Maximization on Modular Social Networks. SAC, 2010: 1088-1094.
[2] Shuai Fang, Jiqing Zhan, Yang Cao, Ruizhong Rao. Improved Single Image Dehazing Using Segmentation. IEEE International Conference on Image Processing, 2010: 3589-3592.
[3] Dan He, Xindong Wu, Xingquan Zhu. Rule Synthesizing from Multiple Related Databases. PAKDD, 2010: 201-213.
[4] Jiaying He, Peipei Li, Xuegang Hu, Xindong Wu. A New Automatic Categorization Algorithm for Web Services. GrC, 2010: 200-205.
[5] Peipei Li, Xindong Wu, Xuegang Hu. Learning from Concept Drifting Data Streams with Unlabeled Data. AAAI, 2010, 3: 1945-1946.
[6] Zhao Li, Xindong Wu. A Phrase-Based Method for Hierarchical Clustering of Web Snippets. AAAI, 2010, 3: 1947-1948.
[7] Zhao Li, Xindong Wu, Zhenyu Lu. Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering. PAKDD, 2010: 214-221.
[8] Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, Kotagiri Ramamohanarao. Mining distribution change in stock order streams. ICDE, 2010: 105-108.
[9] Zhenyu Lu, Xindong Wu, Josh Bongard. Adaptive Informative Sampling for Active Learning. SDM, 2010: 894-905.
[10] Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard. Ensemble pruning via individual contribution ordering. KDD, 2010: 871-880.
[11] Haiping Wang, Fei Xie, Xuegang Hu, Peipei Li, Xindong Wu. Pattern Matching with Flexible Wildcards and Recurring Characters. GrC, 2010: 782-786.
[12] Xindong Wu, Kui Yu, Hao Wang, Wei Ding. Online Streaming Feature Selection. ICML, 2010: 1159-1166.
[13] Youxi Wu, Xindong Wu, He Jiang, Fan Min. A Nettree for Approximate Maximal Pattern Matching with Gaps and One-Off Constraint. ICTAI, 2010: 38-41.
[14] Youxi Wu, Xindong Wu, Fan Min and Yan Li. A Nettree for Pattern Matching with Flexible Wildcard Constraints. IRI, 2010: 109-114.
[15] Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu. SMILE: A Similarity-Based Approach for Multiple Instance Learning. ICDM, 2010: 589-598.
[16] Fei Xie, Xindong Wu, Xuegang Hu. Keyphrase extraction based on semantic relatedness. IEEE ICCI, 2010: 308-312.
[17] Kui Yu, Xindong Wu, Hao Wang. Online causal discovery. IEEE ICCI, 2010: 667-671.
[18] Kui Yu, Xindong Wu, Hao Wang, Wei Ding. Causal Discovery from Streaming Features. ICDM, 2010: 1163-1168.
[19] Shichao Zhang, Xindong Wu, Manlong Zhu. Efficient missing data imputation for supervised learning. IEEE ICCI, 2010: 672-679.
[20] Zhongqiu Zhao, Jun Gao, Xindong Wu. Semi-supervised Learning by Spectral Mapping with Label Information. AICI, 2010: 448-454.
[21] Tianyi Zhou, Dacheng Tao, and Xindong Wu. NESVM: a Fast Gradient Method for Support Vector Machines. ICDM, 2010:677-688.
[22] Qun Zhu, Xuegang Hu, Yuhong Zhang, Peipei Li, Xindong Wu. A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. GrC, 2010: 639-644.
2009年
[1] Hervé Glotin, Zhong-Qiu Zhao, and Stéphane Ayache. Efficient Image Concept Indexing by Harmonic and Arithmetic Profiles Entropy. ICIP, 2009: 277-280.
[2] Yongming Huang, Xindong Wu, Xuegang Hu, Fei Xie, Jun Gao, Gongqing Wu. Mining Frequent Patterns with Gaps and One-off Condition. CES, 2009: 180-186.
[3] Qianhui Liang, Peipei Li, Patrick C. K. Hung, and Xindong Wu. Clustering Web Services for Automatic Categorization. IEEE SCC, 2009: 380-387.
[4] Zhenyu Lu, Xindong Wu, Josh Bongard. Active Learning with Adaptive Heterogeneous Ensembles. ICDM, 2009: 327-336.
[5] Zhongqiu Zhao, Herve Glotin, Jun Gao, Xindong Wu. Multi-classes Semi-supervised Learning on Riemannian Manifolds. International Conference on Computational Intelligence and Natural Computing, IEEE Computer Society, 2009, 1: 527-530.
[6] Xingquan Zhu, Xindong Wu, Chengqi Zhang. Vague One-Class Learning for Data Streams. ICDM, 2009: 657-666.
2008年及以前
[1] Peipei Li, Xuegang Hu, Xindong Wu. Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. ADMA, 2008: 733-740.
[2] Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, Zhaozhong Jiang. Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages. ICDM Workshops, 2008: 744-751.
[3] Zhao Li, Hong Peng, Xindong Wu. A New Descriptive Clustering Algorithm based on Nonnegative Matrix Factorization. GrC, 2008:407-412.
[4] Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Yingfeng Wang. Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation. ICDM Workshops, 2008: 635-642.
[5] Dacheng Tao, Jimeng Sun, Jialie Shen, Xindong Wu, Xuelong Li, Stephen J. Maybank, Christos Faloutsos. Bayesian tensor analysis. IJCNN, 2008: 1402-1409.
[6] Fei Xie, Xindong Wu, Xuegang Hu, Feiyue Wang. Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations.ISI Workshops, 2008: 490-495.
[7] Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi. Cleansing Noisy Data Streams. ICDM, 2008: 1139-1144.
[8] Zhu Zhu, Gongqing Wu, Xindong Wu, Xuegang Hu, Feiyue Wang: Automatic Recognition of News Web Pages. ISI Workshops, 2008: 496-501.
[9] DongJun Zong, Guojun Mao, Xindong Wu. An Intrusion Detection Model Based on Mining Data Streams. DMIN, 2008:398-403.
[10] Dan He, Abdullah N. Arslan, Yu He, Xindong Wu. Iterative Refinement of Repeat Sequence Specification Using Constrained Pattern Matching. BIBE, 2007:1199-1203.
[11] Dan He, Xindong Wu, Xingquan Zhu. SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints. BIBM, 2007:151-158.
[12] Yu He, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan. Mining Frequent Patterns with Wildcards from Biological Sequences. IRI, 2007: 329-334.
[13] Xuegang Hu, Wei Liu, Dexing Wang, Xindong Wu. Mining Frequent Itemsets Using a Pruned Concept Lattice. FSKD, 2007: 606-610.
[14] Xuegang Hu, Junhua Shi, Xindong Wu. A New Algorithm for Attribute Reduction in Decision Tables. RSFDGrC, 2007: 37-46.
[15] Xuegang Hu, Dongbo Wang, Xindong Wu. Varying Density Spatial Clustering Based on a Hierarchical Tree. MLDM, 2007: 188-202.
[16] Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank. General Averaged Divergence Analysis. ICDM, 2007:302-311.
[17] Dacheng Tao, Jimeng Sun, Xindong Wu, Xuelong Li, Jialie Shen, Stephen J. Maybank, Christos Faloutsos. Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria. ICONIP, 2007: 791-801.
[18] Kui Yu, Hao Wang, Xindong Wu. A Parallel Algorithm for Learning Bayesian Networks. PAKDD, 2007: 1055-1063.
[19] Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang. Measuring the Uncertainty of Differences for Contrasting Groups. AAAI, 2007:1920-1921.
[20] Yan Zhang, Xindong Wu. Noise Modeling with Associative Corruption Rules. ICDM, 2007: 733-738.
[21] Xingquan Zhu, Xindong Wu. Discovering Relational Patterns across Multiple Databases. ICDE, 2007: 726-735.
[22] Xingquan Zhu, Xindong Wu. Mining Complex Patterns across Sequences with Gap Requirements. IJCAI, 2007: 2934-2941.
[23] Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi. An Empirical Study of the Noise Impact on Cost-Sensitive Learning. IJCAI, 2007:1168-1174.
[24] Dan He, Xindong Wu. Ontology-based feature weighting for biomedical literature classification. IRI, 2006: 280-285.
[25] Dacheng Tao, Xuelong Li, Stephen J. Maybank, Xindong Wu. Human Carrying Status in Visual Surveillance. CVPR, 2006: 1670-1677.
[26] Dacheng Tao, Xuelong Li, Xindong Wu, Steve J. Maybank. Elapsed Time in Human Gait Recognition: A New Approach. ICASSP, 2006: 177-180.
[27] Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao. Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm. ISMIS, 2006: 127-136.
[28] Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang. Identifying bridging rules between conceptual clusters. KDD, 2006: 815-820.
[29] Yan Zhang, Xingquan Zhu, Xindong Wu. Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners. ICDM, 2006: 1199-1204.
[30] Xingquan Zhu, Xindong Wu. Error awareness data mining. GrC, 2006: 269-274.
[31] Xingquan Zhu, Xindong Wu. Scalable Representative Instance Selection and Ranking. ICPR, 2006: 352-355.
[2] Kui Yu, D. Wang, Wei Ding, Jian Pei, D.L. Small, S. Islam, and Xindong Wu. Tornado Forcasting with Multiple Markov Boundaries. In: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’15), Sydney, NW, Australia, August 10-13, 2015.
2014年
[1] Ahmed Abdeen Hamed, Xindong Wu, Tamer Fandy. Mining patterns in Big Data K-H networks. AICCSA 2014: 176-183.
[2] Ahmed Abdeen Hamed, Xindong Wu. Does Social Media Big Data Make the World Smaller? An Exploratory Analysis of Keyword-Hashtag Networks. BigData Congress 2014: 454-461.
[3] Fei Xie, Xindong Wu, Xingquan Zhu. Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards. ICDM 2014: 1055-1060
[4] Hai-Guang Li, Xindong Wu, Zhao Li. Online learning with mobile sensor data for user recognition. SAC 2014: 64-70.
[5] Kui Yu, Wei Ding, Xindong Wu, and Jian Pei. Towards Scalable and Accurate Online Feature Selection for Big Data. In Proceedings of the 14th IEEE International Conference on Data Mining (ICDM’14), pp. 660-669, Shenzhen, China, December 14-17, 2014.
[6] Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu. 2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014. IEEE 2014, ISBN 978-1-4799-4302-9.
[7] Xindong Wu, Martin Ester, Guandong Xu. 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014. IEEE 2014.
[8] Zhong-Qiu Zhao, Bao-Jian Xie, Yiu-ming Cheung, Xindong Wu. Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample Learning. ACCV (2) 2014: 348-361.
[9] Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu. 2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014. IEEE 2014, ISBN 978-1-4799-4274-9
[10] Haiguang Li, Xindong Wu, Zhao Li. Online learning with mobile sensor data for user recognition. ACM SAC, 2014: 64-70.
[11] Zhao Li, Xindong Wu. Single multiplicatively updated matrix factorization for co-clustering. ACM SAC, 2014: 97-104.
2013年
[1] Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu. Feature Selection by Joint Graph Sparse Coding. SDM, 2013: 803-811.
[2] Ahmed Abdeen Hamed, Xindong Wu, James R. Fingar. A Twitter-based smoking cessation recruitment system. ASONAM, 2013:854-861.
[3] Dan Guo, Taining Xiang, Xuegang Hu, Xindong Wu. Flexible Pattern Matching with Gap-Length and One-Off Conditions. ICTAI, 2013: 446-453.
[4] Haiguang Li, Xindong Wu, Zhao Li, Wei Ding. Group Feature Selection with Streaming Features. ICDM, 2013:1109-1114.
[5] Haiguang Li, Xindong Wu, Zhao Li, Wei Ding. Online Group Feature Selection from Feature Streams. AAAI, 2013: 1627-1628.
[6] Peipei Li, Haixun Wang, Hongsong Li, Xindong Wu. Assessing sparse information extraction using semantic contexts. CIKM, 2013: 1709-1714.
[7] Peipei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xindong Wu. Computing term similarity by large probabilistic isA knowledge. CIKM, 2013:1401-1410.
[8] Xiaomei Li, Xindong Wu, Gongqing Wu, Xuegang Hu. Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection. AAAI, 2013: 1631-1632.
[9] Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam. Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification, KDD, 2013:1285-1293.
[10] Jing Wang, Zhongqiu Zhao, XuegangHu, Yiu-ming Cheung, and Meng Wang.and Xindong Wu. Online group feature selection. In: Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, AAAI Press, 2013: 1757-1763.
[11] Gongqing Wu, Li Li, Xuegang Hu, Xindong Wu. Web News Extraction via Path Ratios. CIKM, 2013: 2059-2068.
[12] Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding. Markov Blanket Feature Selection with Non-Faithful Data Distributions. ICDM, 2013: 857-866.
[13] Jing Zhang, Xindong Wu, Victor S. Sheng. A threshold method for imbalanced multiple noisy labeling. ASONAM, 2013: 61-65
[14] Jing Zhang, Xindong Wu, and Victor Shengli Sheng. Imbalanced Multiple Noisy Labeling for Supervised Learning. AAAI, 2013: 1651-1652.
[15] Shengping Zhu, Jixiang Du, Chuanmin Zhai, Zhongqiu Zhao. Diversifying Plant Image Retrieval with Dimensionality Reduction. IEEE CIS, 2013:428-431.
[16] Xiaofeng Zhu, Zi Huang, Xindong Wu. Multi-View Visual Classification via a Mixed-Norm Regularizer. PAKDD, 2013: 520-531.
2012年
[1] Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu. Self-Taught Active Learning from Crowds. ICDM, 2012:858-863.
[2] Haiguang Li, Zhao Li, Robert T. White, Xindong Wu. A Real-Time Transportation Prediction System. IEA/AIE, 2012: 68-77.
[3] Yingling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Chi Wang. Pattern matching with wildcards based on multiple suffix trees. IEEE International Conference on Granular Computing, 2012: 320-325.
[4] Canyi Lu, Hai Min, Zhongqiu Zhao, Lin Zhu, Deshuang Huang, Shuicheng Yan. Robust and Efficient Subspace Segmentation via Least Squares Regression. European Conference on Computer Vision, 2012: 347-360.
[5] Liqiang Nie, Shuicheng Yan, Meng Wang, Richang Hong, and Tat-Seng Chua. Harvesting Visual Concepts from Image Search with Complex Queries. ACM International Conference on Multimedia, 2012: 59-68.
[6] Jipeng Qiang, Weidong Tian, Dan Guo, Xindong Wu. Online pattern matching with wildcards. IEEE International Conference on Granular Computing, 2012: 394-399.
[7] Jialie Shen, HweeHwa Pang, Meng Wang, Shuicheng Yan. Modeling Concept Dynamics for Large Scale Music Search. ACM International SIGIR Conference, 2012: 455-464.
[8] Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding. Coupled behavior analysis for capturing coupling relationships in group-based market manipulations. KDD, 2012: 976-984.
[9] Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu. Mining emerging patterns by streaming feature selection. KDD, 2012: 60-68.
[10] Jing Zhang, Gongqing Wu, Xuegang Hu, Xindong Wu. A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services. 13th ACM/IEEE International Conference on Grid Computing, 2012:12-21.
2011年
[1] Saeed Abdullah, Xindong Wu. An Epidemic Model for News Spreading on Twitter. ICTAI, 2011: 163-169.
[2] Tianyu Cao, Xindong Wu, Xiaohua Tony Hu, Song Wang. Active Learning of Model Parameters for Influence Maximization. ECML/PKDD, 2011: 280-295.
[3] Xin Chen, Tingting He, Xiaohua Hu, Yuan An, Xindong Wu. Inferring Functional Groups from Microbial Gene Catalogue with Probabilistic Topic Models. BIBM, 2011: 3-9.
[4] Jiajia Feng, Fei Xie, Xuegang Hu, Peipei Li, Jie Cao, Xindong Wu. Keyword extraction based on sequential pattern mining. ICIMCS, 2011: 34-38.
[5] Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu. Cross-Domain Collaborative Filtering over Time. IJCAI, 2011: 2293-2298.
[6] Haiguang Li, Gongqing Wu, Xuegang Hu, Jing Zhang, Lian Li, Xindong Wu: K-Means Clustering with Bagging and MapReduce. HICSS, 2011: 1-8.
[7] Peipei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang. Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. PAKDD, 2011: 313-325.
[8] Zhao Li, Xindong Wu. Weighted Nonnegative Matrix Tri-Factorization for Co-clustering. ICTAI, 2011: 811-816.
[9] Huawen Liu, Xindong Wu, Shichao Zhang. Feature Selection using Hierarchical Feature Clustering. CIKM, 2011: 979-984.
[10] Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao: Causal Associative Classification. ICDM, 2011: 914-923.
[11] Xindong Wu, Fei Xie, Gongqing Wu, Wei Ding. Personalized News Filtering and Summarization on the Web. ICTAI, 2011: 414-421.
2010年
[1] Tianyu Cao, Xindong Wu, Song Wang, and Xiaohua Hu. OASNET: An Optimal Allocation Approach to Influence Maximization on Modular Social Networks. SAC, 2010: 1088-1094.
[2] Shuai Fang, Jiqing Zhan, Yang Cao, Ruizhong Rao. Improved Single Image Dehazing Using Segmentation. IEEE International Conference on Image Processing, 2010: 3589-3592.
[3] Dan He, Xindong Wu, Xingquan Zhu. Rule Synthesizing from Multiple Related Databases. PAKDD, 2010: 201-213.
[4] Jiaying He, Peipei Li, Xuegang Hu, Xindong Wu. A New Automatic Categorization Algorithm for Web Services. GrC, 2010: 200-205.
[5] Peipei Li, Xindong Wu, Xuegang Hu. Learning from Concept Drifting Data Streams with Unlabeled Data. AAAI, 2010, 3: 1945-1946.
[6] Zhao Li, Xindong Wu. A Phrase-Based Method for Hierarchical Clustering of Web Snippets. AAAI, 2010, 3: 1947-1948.
[7] Zhao Li, Xindong Wu, Zhenyu Lu. Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering. PAKDD, 2010: 214-221.
[8] Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, Kotagiri Ramamohanarao. Mining distribution change in stock order streams. ICDE, 2010: 105-108.
[9] Zhenyu Lu, Xindong Wu, Josh Bongard. Adaptive Informative Sampling for Active Learning. SDM, 2010: 894-905.
[10] Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard. Ensemble pruning via individual contribution ordering. KDD, 2010: 871-880.
[11] Haiping Wang, Fei Xie, Xuegang Hu, Peipei Li, Xindong Wu. Pattern Matching with Flexible Wildcards and Recurring Characters. GrC, 2010: 782-786.
[12] Xindong Wu, Kui Yu, Hao Wang, Wei Ding. Online Streaming Feature Selection. ICML, 2010: 1159-1166.
[13] Youxi Wu, Xindong Wu, He Jiang, Fan Min. A Nettree for Approximate Maximal Pattern Matching with Gaps and One-Off Constraint. ICTAI, 2010: 38-41.
[14] Youxi Wu, Xindong Wu, Fan Min and Yan Li. A Nettree for Pattern Matching with Flexible Wildcard Constraints. IRI, 2010: 109-114.
[15] Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu. SMILE: A Similarity-Based Approach for Multiple Instance Learning. ICDM, 2010: 589-598.
[16] Fei Xie, Xindong Wu, Xuegang Hu. Keyphrase extraction based on semantic relatedness. IEEE ICCI, 2010: 308-312.
[17] Kui Yu, Xindong Wu, Hao Wang. Online causal discovery. IEEE ICCI, 2010: 667-671.
[18] Kui Yu, Xindong Wu, Hao Wang, Wei Ding. Causal Discovery from Streaming Features. ICDM, 2010: 1163-1168.
[19] Shichao Zhang, Xindong Wu, Manlong Zhu. Efficient missing data imputation for supervised learning. IEEE ICCI, 2010: 672-679.
[20] Zhongqiu Zhao, Jun Gao, Xindong Wu. Semi-supervised Learning by Spectral Mapping with Label Information. AICI, 2010: 448-454.
[21] Tianyi Zhou, Dacheng Tao, and Xindong Wu. NESVM: a Fast Gradient Method for Support Vector Machines. ICDM, 2010:677-688.
[22] Qun Zhu, Xuegang Hu, Yuhong Zhang, Peipei Li, Xindong Wu. A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. GrC, 2010: 639-644.
2009年
[1] Hervé Glotin, Zhong-Qiu Zhao, and Stéphane Ayache. Efficient Image Concept Indexing by Harmonic and Arithmetic Profiles Entropy. ICIP, 2009: 277-280.
[2] Yongming Huang, Xindong Wu, Xuegang Hu, Fei Xie, Jun Gao, Gongqing Wu. Mining Frequent Patterns with Gaps and One-off Condition. CES, 2009: 180-186.
[3] Qianhui Liang, Peipei Li, Patrick C. K. Hung, and Xindong Wu. Clustering Web Services for Automatic Categorization. IEEE SCC, 2009: 380-387.
[4] Zhenyu Lu, Xindong Wu, Josh Bongard. Active Learning with Adaptive Heterogeneous Ensembles. ICDM, 2009: 327-336.
[5] Zhongqiu Zhao, Herve Glotin, Jun Gao, Xindong Wu. Multi-classes Semi-supervised Learning on Riemannian Manifolds. International Conference on Computational Intelligence and Natural Computing, IEEE Computer Society, 2009, 1: 527-530.
[6] Xingquan Zhu, Xindong Wu, Chengqi Zhang. Vague One-Class Learning for Data Streams. ICDM, 2009: 657-666.
2008年及以前
[1] Peipei Li, Xuegang Hu, Xindong Wu. Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. ADMA, 2008: 733-740.
[2] Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, Zhaozhong Jiang. Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages. ICDM Workshops, 2008: 744-751.
[3] Zhao Li, Hong Peng, Xindong Wu. A New Descriptive Clustering Algorithm based on Nonnegative Matrix Factorization. GrC, 2008:407-412.
[4] Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Yingfeng Wang. Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation. ICDM Workshops, 2008: 635-642.
[5] Dacheng Tao, Jimeng Sun, Jialie Shen, Xindong Wu, Xuelong Li, Stephen J. Maybank, Christos Faloutsos. Bayesian tensor analysis. IJCNN, 2008: 1402-1409.
[6] Fei Xie, Xindong Wu, Xuegang Hu, Feiyue Wang. Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations.ISI Workshops, 2008: 490-495.
[7] Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi. Cleansing Noisy Data Streams. ICDM, 2008: 1139-1144.
[8] Zhu Zhu, Gongqing Wu, Xindong Wu, Xuegang Hu, Feiyue Wang: Automatic Recognition of News Web Pages. ISI Workshops, 2008: 496-501.
[9] DongJun Zong, Guojun Mao, Xindong Wu. An Intrusion Detection Model Based on Mining Data Streams. DMIN, 2008:398-403.
[10] Dan He, Abdullah N. Arslan, Yu He, Xindong Wu. Iterative Refinement of Repeat Sequence Specification Using Constrained Pattern Matching. BIBE, 2007:1199-1203.
[11] Dan He, Xindong Wu, Xingquan Zhu. SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints. BIBM, 2007:151-158.
[12] Yu He, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan. Mining Frequent Patterns with Wildcards from Biological Sequences. IRI, 2007: 329-334.
[13] Xuegang Hu, Wei Liu, Dexing Wang, Xindong Wu. Mining Frequent Itemsets Using a Pruned Concept Lattice. FSKD, 2007: 606-610.
[14] Xuegang Hu, Junhua Shi, Xindong Wu. A New Algorithm for Attribute Reduction in Decision Tables. RSFDGrC, 2007: 37-46.
[15] Xuegang Hu, Dongbo Wang, Xindong Wu. Varying Density Spatial Clustering Based on a Hierarchical Tree. MLDM, 2007: 188-202.
[16] Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank. General Averaged Divergence Analysis. ICDM, 2007:302-311.
[17] Dacheng Tao, Jimeng Sun, Xindong Wu, Xuelong Li, Jialie Shen, Stephen J. Maybank, Christos Faloutsos. Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria. ICONIP, 2007: 791-801.
[18] Kui Yu, Hao Wang, Xindong Wu. A Parallel Algorithm for Learning Bayesian Networks. PAKDD, 2007: 1055-1063.
[19] Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang. Measuring the Uncertainty of Differences for Contrasting Groups. AAAI, 2007:1920-1921.
[20] Yan Zhang, Xindong Wu. Noise Modeling with Associative Corruption Rules. ICDM, 2007: 733-738.
[21] Xingquan Zhu, Xindong Wu. Discovering Relational Patterns across Multiple Databases. ICDE, 2007: 726-735.
[22] Xingquan Zhu, Xindong Wu. Mining Complex Patterns across Sequences with Gap Requirements. IJCAI, 2007: 2934-2941.
[23] Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi. An Empirical Study of the Noise Impact on Cost-Sensitive Learning. IJCAI, 2007:1168-1174.
[24] Dan He, Xindong Wu. Ontology-based feature weighting for biomedical literature classification. IRI, 2006: 280-285.
[25] Dacheng Tao, Xuelong Li, Stephen J. Maybank, Xindong Wu. Human Carrying Status in Visual Surveillance. CVPR, 2006: 1670-1677.
[26] Dacheng Tao, Xuelong Li, Xindong Wu, Steve J. Maybank. Elapsed Time in Human Gait Recognition: A New Approach. ICASSP, 2006: 177-180.
[27] Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao. Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm. ISMIS, 2006: 127-136.
[28] Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang. Identifying bridging rules between conceptual clusters. KDD, 2006: 815-820.
[29] Yan Zhang, Xingquan Zhu, Xindong Wu. Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners. ICDM, 2006: 1199-1204.
[30] Xingquan Zhu, Xindong Wu. Error awareness data mining. GrC, 2006: 269-274.
[31] Xingquan Zhu, Xindong Wu. Scalable Representative Instance Selection and Ranking. ICPR, 2006: 352-355.