| 2026 | AAAI | Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG. | Manzong Huang, Chenyang Bu, Yi He, Xingrui Zhuo, Xindong Wu |
| 2026 | KDD | PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignment. | Yunpeng Hong, Chenyang Bu, Jie Zhang, Yi He, Di Wu, Xindong Wu |
| 2026 | WWW | Dual-Branch Multi-Granularity Network with Structured Contrastive Ranking for Cross-Modal Retrieval. | Zihao Chen, Chenyang Bu, Shengwei Ji, Xindong Wu |
| 2025 | ACL | Query-Driven Multimodal GraphRAG: Dynamic Local Knowledge Graph Construction for Online Reasoning. | Chenyang Bu, Guojie Chang, Zihao Chen, CunYuan Dang, Zhize Wu, Yi He, Xindong Wu |
| 2025 | ICDM | Link Completion for Dynamic Knowledge Graphs with Entity Drift. | Xiulin Zheng, Pei-Pei Li, Yi He, Xindong Wu |
| 2025 | IJCAI | How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback. | Manzong Huang, Chenyang Bu, Yi He, Xindong Wu |
| 2025 | IJCAI | Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs. | Xingrui Zhuo, Shirui Pan, Jiapu Wang, Gongqing Wu, Zan Zhang, Rui Li, Zizhong Wei, Xindong Wu |
| 2025 | SMC | Relation-Aware Retrieval Augmented Generation for Relation Extraction. | Lei Tian, Chenyang Bu, Manzong Huang, Xindong Wu |
| 2025 | WWW | Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs. | Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Shirui Pan, Xindong Wu |
| 2024 | ICDM | CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. | Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu |
| 2024 | ICWS | Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. | Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu |
| 2024 | SMC | Classification of Table Cells Based on LLM Prompts. | Mengjie Liu, Chenyang Bu, Shengxing Bai, Bingbing Dong, Xindong Wu |
| 2023 | DEXA | User Interaction-Aware Knowledge Graphs for Recommender Systems. | Ru Wang, Bingbing Dong, Tianyang Li, Meng Wu, Chenyang Bu, Xindong Wu |
| 2023 | ICDE | DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract. | Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu |
| 2023 | ICDM | On Computing Paradigms - Where Will Large Language Models Be Going. | Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang |
| 2023 | ICDM | KOSA: KO Enhanced Salary Analytics based on Knowledge Graph and LLM Capabilities. | Fei Huang, Yi Deng, Chen Zhang, Menghao Guo, Kai Zhan, Shanxin Sun, Jinling Jiang, Zeyi Sun, Xindong Wu |
| 2023 | ICDM | IKGN: Intention-aware Knowledge Graph Network for POI Recommendation. | Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He, Xindong Wu |
| 2023 | IJCAI | Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space. | Yi He, Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu |
| 2023 | IJCNN | Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information. | Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu |
| 2022 | ICDM | Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. | Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu |
| 2022 | ICDM | Hypernode: Entity Fusion for Data Traceability and Link Prediction. | Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, Xindong Wu |
| 2021 | AAAI | Online Learning in Variable Feature Spaces under Incomplete Supervision. | Yi He, Xu Yuan, Sheng Chen, Xindong Wu |
| 2021 | CIKM | HAO Unity: A Graph-based System for Unifying Heterogeneous Data. | Fei Jie, Yanxiang Huang, Qiangwei Bai, Xindong Wu |
| 2021 | CIKM | A Chinese Knowledge Base Question Answering System. | Xiaona Xue, Jinling Jiang, Wenjian Zhang, Yanxiang Huang, Xindong Wu |
| 2021 | PRICAI | High-Quality Noise Detection for Knowledge Graph Embedding with Rule-Based Triple Confidence. | Yan Hong, Chenyang Bu, Xindong Wu |
| 2021 | PRICAI | A Weak Supervision Approach with Adversarial Training for Named Entity Recognition. | Jianxuan Shao, Chenyang Bu, Shengwei Ji, Xindong Wu |
| 2021 | WWW | Unsupervised Lifelong Learning with Curricula. | Yi He, Sheng Chen, Baijun Wu, Xu Yuan, Xindong Wu |
| 2020 | AAAI | Lexical Simplification with Pretrained Encoders. | Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu |
| 2020 | ECAI | On Partial Multi-Task Learning. | Yi He, Baijun Wu, Di Wu, Xindong Wu |
| 2020 | ECAI | Online Learning to Accelerate Neural Network Inference with Traveling Classifiers. | Ege Beyazit, Yi He, Nian-Feng Tzeng, Xindong Wu |
| 2020 | ICDM | Active Learning with Multi-Granular Graph Auto-Encoder. | Yi He, Xu Yuan, Nian-Feng Tzeng, Xindong Wu |
| 2020 | IJCAI | Learning Interpretable Representations with Informative Entanglements. | Ege Beyazit, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu |
| 2020 | IJCAI | A Speech-to-Knowledge-Graph Construction System. | Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu |
| 2020 | SAC | Scale invariant learning from trapezoidal data streams. | Jeevithan Alagurajah, Xu Yuan, Xindong Wu |
| 2020 | SDM | Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. | Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu |
| 2019 | AAAI | Online Learning from Data Streams with Varying Feature Spaces. | Ege Beyazit, Jeevithan Alagurajah, Xindong Wu |
| 2019 | ICDCS | Local Graph Edge Partitioning with a Two-Stage Heuristic Method. | Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu |
| 2019 | ICDM | Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest. | Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang |
| 2019 | ICDM | Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks. | Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu |
| 2019 | IJCAI | Online Learning from Capricious Data Streams: A Generative Approach. | Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu |
| 2019 | PAKDD | AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding. | Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu |
| 2019 | PAKDD | A Data-Aware Latent Factor Model for Web Service QoS Prediction. | Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu |
| 2019 | PRICAI | Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment. | Tingting Jiang, Chenyang Bu, Yi Zhu, Xindong Wu |
| 2018 | IC3K | Knowledge Graph for Public Security Analytics. | Xindong Wu |
| 2018 | ICANN | Learning Simplified Decision Boundaries from Trapezoidal Data Streams. | Ege Beyazit, Matin Hosseini, Anthony Maida, Xindong Wu |
| 2018 | ICDM | ASTM: An Attentional Segmentation Based Topic Model for Short Texts. | Jiamiao Wang, Ling Chen, Lu Qin, Xindong Wu |
| 2018 | ICDM | On Big Wisdom. | Minghui Wu, Xindong Wu |
| 2018 | ICDM | Feature-Induced Partial Multi-label Learning. | Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu |
| 2018 | ICTAI | Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification. | Yi He, Di Wu, Ege Beyazit, Xiaoduan Sun, Xindong Wu |
| 2018 | KDD | Scalable Active Learning by Approximated Error Reduction. | Weijie Fu, Meng Wang, Shijie Hao, Xindong Wu |
| 2018 | KDD | Multi-Label Inference for Crowdsourcing. | Jing Zhang, Xindong Wu |
| 2017 | AAAI | Keyphrase Extraction with Sequential Pattern Mining. | Qingren Wang, Victor S. Sheng, Xindong Wu |
| 2017 | ICDM | A Self-Adaptive Sliding Window Based Topic Model for Non-uniform Texts. | Jin He, Lei Li, Xindong Wu |
| 2017 | PAKDD | Topic Modeling over Short Texts by Incorporating Word Embeddings. | Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu |
| 2016 | ICDM | Concept Based Short Text Stream Classification with Topic Drifting Detection. | Pei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu |
| 2016 | ICDM | WEFEST: Word Embedding Feature Extension for Short Text Classification. | Lei Sang, Fei Xie, Xiaojian Liu, Xindong Wu |
| 2016 | ICTAI | Topic Discovery from Heterogeneous Texts. | Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu |
| 2015 | CIKM | Improving Label Quality in Crowdsourcing Using Noise Correction. | Jing Zhang, Victor S. Sheng, Jian Wu, Xiaoqin Fu, Xindong Wu |
| 2015 | ICDM | Learning Label Specific Features for Multi-label Classification. | Jun Huang, Guorong Li, Qingming Huang, Xindong Wu |
| 2015 | ICDM | Towards Mining Trapezoidal Data Streams. | Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu |
| 2015 | ICIP | Plant identification using triangular representation based on salient points and margin points. | Zhong-Qiu Zhao, Yan Hong, Peng Zheng, Xindong Wu |
| 2015 | IJCAI | Saliency Detection with a Deeper Investigation of Light Field. | Jun Zhang, Meng Wang, Jun Gao, Yi Wang, Xudong Zhang, Xindong Wu |
| 2015 | KDD | Tornado Forecasting with Multiple Markov Boundaries. | Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu |
| 2014 | ACCV | Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample Learning. | Zhong-Qiu Zhao, Bao-Jian Xie, Yiu-ming Cheung, Xindong Wu |
| 2014 | AICCSA | Mining patterns in Big Data K-H networks. | Ahmed Abdeen Hamed, Xindong Wu, Tamer Fandy |
| 2014 | BigData | Does Social Media Big Data Make the World Smaller? An Exploratory Analysis of Keyword-Hashtag Networks. | Ahmed Abdeen Hamed, Xindong Wu |
| 2014 | ICDM | Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards. | Fei Xie, Xindong Wu, Xingquan Zhu |
| 2014 | ICDM | Towards Scalable and Accurate Online Feature Selection for Big Data. | Kui Yu, Xindong Wu, Wei Ding, Jian Pei |
| 2014 | SAC | Single multiplicatively updated matrix factorization for co-clustering. | Zhao Li, Xindong Wu |
| 2014 | SAC | Online learning with mobile sensor data for user recognition. | Hai-Guang Li, Xindong Wu, Zhao Li |
| 2013 | AAAI | Online Group Feature Selection from Feature Streams. | Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding |
| 2013 | AAAI | Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection. | Xiaomei Li, Xindong Wu, Gong-Qing Wu, Xuegang Hu |
| 2013 | AAAI | Imbalanced Multiple Noisy Labeling for Supervised Learning. | Jing Zhang, Xindong Wu, Victor Shengli Sheng |
| 2013 | CIKM | Assessing sparse information extraction using semantic contexts. | Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu |
| 2013 | CIKM | Computing term similarity by large probabilistic isA knowledge. | Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xindong Wu |
| 2013 | CIKM | Web news extraction via path ratios. | Gong-Qing Wu, Li Li, Xuegang Hu, Xindong Wu |
| 2013 | ICDM | Group Feature Selection with Streaming Features. | Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding |
| 2013 | ICDM | Markov Blanket Feature Selection with Non-faithful Data Distributions. | Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding |
| 2013 | IJCAI | Online Group Feature Selection. | Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Meng Wang, Xindong Wu |
| 2013 | ICTAI | Flexible Pattern Matching with Gap-Length and One-Off Conditions. | Dan Guo, Taining Xiang, Xuegang Hu, Xindong Wu |
| 2013 | KDD | Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification. | Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam |
| 2013 | PAKDD | Multi-View Visual Classification via a Mixed-Norm Regularizer. | Xiaofeng Zhu, Zi Huang, Xindong Wu |
| 2013 | SDM | Feature Selection by Joint Graph Sparse Coding. | Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu |
| 2012 | GRC | Pattern matching with wildcards based on multiple suffix trees. | Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Chi Wang |
| 2012 | GRC | Online pattern matching with wildcards. | Jipeng Qiang, Weidong Tian, Dan Guo, Xindong Wu |
| 2012 | ICDM | Self-Taught Active Learning from Crowds. | Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu |
| 2012 | KDD | Coupled behavior analysis for capturing coupling relationships in group-based market manipulations. | Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding |
| 2012 | KDD | Mining emerging patterns by streaming feature selection. | Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu |
| 2011 | CIKM | Feature selection using hierarchical feature clustering. | Huawen Liu, Xindong Wu, Shichao Zhang |
| 2011 | ICDM | Causal Associative Classification. | Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao |
| 2011 | IJCAI | Cross-Domain Collaborative Filtering over Time. | Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu |
| 2011 | ICTAI | An Epidemic Model for News Spreading on Twitter. | Saeed Abdullah, Xindong Wu |
| 2011 | ICTAI | Weighted Nonnegative Matrix Tri-Factorization for Co-clustering. | Zhao Li, Xindong Wu |
| 2011 | ICTAI | Personalized News Filtering and Summarization on the Web. | Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding |
| 2011 | PAKDD | Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams. | Pei-Pei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang |
| 2010 | AAAI | A Phrase-Based Method for Hierarchical Clustering of Web Snippets. | Zhao Li, Xindong Wu |
| 2010 | AAAI | Learning from Concept Drifting Data Streams with Unlabeled Data. | Pei-Pei Li, Xindong Wu, Xuegang Hu |
| 2010 | GRC | A New Automatic Categorization Algorithm for Web Services. | Jiaying He, Pei-Pei Li, Xuegang Hu, Xindong Wu |
| 2010 | GRC | Pattern Matching with Flexible Wildcards and Recurring Characters. | Haiping Wang, Fei Xie, Xuegang Hu, Pei-Pei Li, Xindong Wu |
| 2010 | GRC | A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. | Qun Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Xindong Wu |
| 2010 | ICDE | Mining distribution change in stock order streams. | Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, Kotagiri Ramamohanarao |
| 2010 | ICDM | 10 Years of Data Mining Research: Retrospect and Prospect. | Xindong Wu |
| 2010 | ICDM | SMILE: A Similarity-Based Approach for Multiple Instance Learning. | Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu |
| 2010 | ICDM | Causal Discovery from Streaming Features. | Kui Yu, Xindong Wu, Hao Wang, Wei Ding |
| 2010 | ICDM | NESVM: A Fast Gradient Method for Support Vector Machines. | Tianyi Zhou, Dacheng Tao, Xindong Wu |
| 2010 | ICML | Online Streaming Feature Selection. | Xindong Wu, Kui Yu, Hao Wang, Wei Ding |
| 2010 | IRI | A Nettree for pattern Matching with flexible wildcard Constraints. | Youxi Wu, Xindong Wu, Fan Min, Yan Li |
| 2010 | ICTAI | A Nettree for Approximate Maximal Pattern Matching with Gaps and One-Off Constraint. | Youxi Wu, Xindong Wu, He Jiang, Fan Min |
| 2010 | ICTAI | Sequential Pattern Mining with Wildcards. | Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua |
| 2010 | KDD | Ensemble pruning via individual contribution ordering. | Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh C. Bongard |
| 2010 | PAKDD | Rule Synthesizing from Multiple Related Databases. | Dan He, Xindong Wu, Xingquan Zhu |
| 2010 | PAKDD | Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering. | Zhao Li, Xindong Wu, Zhenyu Lu |
| 2010 | SAC | OASNET: an optimal allocation approach to influence maximization in modular social networks. | Tianyu Cao, Xindong Wu, Song Wang, Xiaohua Hu |
| 2010 | SDM | Adaptive Informative Sampling for Active Learning. | Zhenyu Lu, Xindong Wu, Josh C. Bongard |
| 2009 | DASC | Pattern Matching with Independent Wildcard Gaps. | Fan Min, Xindong Wu, Zhenyu Lu |
| 2009 | GRC | A relation extraction method of Chinese named entities based on location and semantic features. | Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Xindong Wu, Yuan-Jun Bi, Pei-Pei Li |
| 2009 | GRC | Ubiquitous personalized information processing with wildcards. | Xindong Wu |
| 2009 | ICDM | Active Learning with Adaptive Heterogeneous Ensembles. | Zhenyu Lu, Xindong Wu, Josh C. Bongard |
| 2009 | ICDM | Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. | Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao |
| 2009 | ICDM | Vague One-Class Learning for Data Streams. | Xingquan Zhu, Xindong Wu, Chengqi Zhang |
| 2009 | IRI | Pattern Matching with Wildcards based on Key Character Location. | Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Gong-Qing Wu, Haiping Wang, Xiao-Li Hong |
| 2009 | ICTAI | Approximate Repeating Pattern Mining with Gap Requirements. | Dan He, Xingquan Zhu, Xindong Wu |
| 2009 | ICTAI | Error Detection and Uncertainty Modeling for Imprecise Data. | Dan He, Xingquan Zhu, Xindong Wu |
| 2009 | PAKDD | Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data. | Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu |
| 2009 | PAKDD | An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. | Peng Zhang, Xingquan Zhu, Yong Shi, Xindong Wu |
| 2008 | ADMA | Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. | Pei-Pei Li, Xuegang Hu, Xindong Wu |
| 2008 | CEC | Gene expression analyses using Genetic Algorithm based hybrid approaches. | Dingiun Chen, Keith C. C. Chan, Xindong Wu |
| 2008 | GRC | A New Descriptive Clustering Algorithm based on Nonnegative Matrix Factorization. | Zhao Li, Hong Peng, Xindong Wu |
| 2008 | HAIS | Data Mining: Algorithms and Problems. | Xindong Wu |
| 2008 | ICDM | Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation. | Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Yingfeng Wang |
| 2008 | ICDM | Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages. | Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, Zhaozhong Jiang |
| 2008 | ICDM | Cleansing Noisy Data Streams. | Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi |
| 2008 | IJCNN | Bayesian tensor analysis. | Dacheng Tao, Jimeng Sun, Jialie Shen, Xindong Wu, Xuelong Li, Stephen J. Maybank, Christos Faloutsos |
| 2008 | ISI | Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations. | Fei Xie, Xindong Wu, Xuegang Hu, Fei-Yue Wang |
| 2008 | ISI | Automatic Recognition of News Web Pages. | Zhu Zhu, Gong-Qing Wu, Xindong Wu, Xuegang Hu, Fei-Yue Wang |
| 2007 | AAAI | Measuring the Uncertainty of Differences for Contrasting Groups. | Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang |
| 2007 | BIBE | Iterative Refinement of Repeat Sequence Specification Using Constrained Pattern Matching. | Dan He, Abdullah N. Arslan, Yu He, Xindong Wu |
| 2007 | CIS | Mining with Noise Knowledge: Error Aware Data Mining. | Xindong Wu |
| 2007 | ICDE | Discovering Relational Patterns across Multiple Databases. | Xingquan Zhu, Xindong Wu |
| 2007 | ICDM | General Averaged Divergence Analysis. | Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank |
| 2007 | ICDM | Noise Modeling with Associative Corruption Rules. | Yan Zhang, Xindong Wu |
| 2007 | ICONIP | Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria. | Dacheng Tao, Jimeng Sun, Xindong Wu, Xuelong Li, Jialie Shen, Stephen J. Maybank, Christos Faloutsos |
| 2007 | IJCAI | Mining Complex Patterns across Sequences with Gap Requirements. | Xingquan Zhu, Xindong Wu |
| 2007 | IJCAI | An Empirical Study of the Noise Impact on Cost-Sensitive Learning. | Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi |
| 2007 | IRI | Mining Frequent Patterns with Wildcards from Biological Sequences. | Yu He, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan |
| 2007 | PAKDD | Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing. | Xindong Wu |
| 2007 | PAKDD | A Parallel Algorithm for Learning Bayesian Networks. | Kui Yu, Hao Wang, Xindong Wu |
| 2006 | CVPR | Human Carrying Status in Visual Surveillance. | Dacheng Tao, Xuelong Li, Stephen J. Maybank, Xindong Wu |
| 2006 | EDOC | User-Centered Agents for Structured Information Location on the Web. | Xindong Wu |
| 2006 | GRC | Error awareness data mining. | Xingquan Zhu, Xindong Wu |
| 2006 | ICASSP | Elapsed Time in Human Gait Recognition: A New Approach. | Dacheng Tao, Xuelong Li, Xindong Wu, Steve J. Maybank |
| 2006 | ICDM | Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners. | Yan Zhang, Xingquan Zhu, Xindong Wu |
| 2006 | ICPR | Scalable Representative Instance Selection and Ranking. | Xingquan Zhu, Xindong Wu |
| 2006 | IRI | Ontology-based feature weighting for biomedical literature classification. | Dan He, Xindong Wu |
| 2006 | ISMIS | Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm. | Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao |
| 2006 | KDD | Identifying bridging rules between conceptual clusters. | Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang |
| 2005 | DaWaK | A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. | Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang |
| 2005 | ICDM | Sequential Pattern Mining in Multiple Streams. | Gong Chen, Xindong Wu, Xingquan Zhu |
| 2005 | ICDM | Supervised Tensor Learning. | Dacheng Tao, Xuelong Li, Weiming Hu, Stephen J. Maybank, Xindong Wu |
| 2005 | ICTAI | ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing. | Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bond |
| 2005 | ISMIS | Scalable Inductive Learning on Partitioned Data. | Qijun Chen, Xindong Wu, Xingquan Zhu |
| 2005 | KDD | Combining proactive and reactive predictions for data streams. | Ying Yang, Xindong Wu, Xingquan Zhu |
| 2005 | SAC | Rearranging data objects for efficient and stable clustering. | Gyesung Lee, Xindong Wu, Jinho Chon |
| 2004 | AAAI | Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets. | Xingquan Zhu, Xindong Wu, Ying Yang |
| 2004 | ICDM | Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning. | Xingquan Zhu, Xindong Wu |
| 2004 | ICDM | Dynamic Classifier Selection for Effective Mining from Noisy Data Streams. | Xingquan Zhu, Xindong Wu, Ying Yang |
| 2004 | ICTAI | Knowledge Discovery in Multiple Databases. | Xindong Wu |
| 2004 | ICTAI | Data Acquisition with Active and Impact-Sensitive Instance Selection. | Xingquan Zhu, Xindong Wu |
| 2003 | ICML | Eliminating Class Noise in Large Datasets. | Xingquan Zhu, Xindong Wu, Qijun Chen |
| 2003 | IJCAI | Mining Video Associations for Efficient Database Management. | Xingquan Zhu, Xindong Wu |
| 2002 | ICDM | Association Analysis with One Scan of Databases. | Hao Huang, Xindong Wu, Richard Relue |
| 2002 | ICML | Mining Both Positive and Negative Association Rules. | Xindong Wu, Chengqi Zhang, Shichao Zhang |
| 2002 | ICTAI | Dynamic Refinement of Classification Rules. | Kalyani K. Manchi, Xindong Wu |
| 2002 | SEKE | Knowledge discovery in very large databases. | Xindong Wu |
| 2001 | CIKM | Efficient Runtime Generation of Association Rules. | Richard Relue, Xindong Wu, Hao Huang |
| 1999 | PAKDD | Induction as Pre-processing. | Xindong Wu |
| 1998 | PRICAI | Multi-layer Incremental Induction. | Xindong Wu, William H. W. Lo |
| 1997 | IJCAI | A Study of Causal Discovery With Weak Links and Small Samples. | Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu |
| 1997 | ICTAI | Schedular++: Scheduling with Knowledge Objects. | Kevin Cai, Xindong Wu, Heinz W. Schmidt |
| 1996 | ECAI | Rule Induction Without Decision Tree Construction. | Xindong Wu, David Urpani, James A. Sykes |
| 1996 | KDD | RITIO - Rule Induction Two In One. | David Urpani, Xindong Wu, Jim Sykes |
| 1995 | ICTAI | Noise handling with extension matrices. | Xindong Wu, Johan Krisr, Petter Mhln |
| 1995 | KDD | Fuzzy Interpretation of Induction Results. | Xindong Wu, Petter Mhln |