Xindong Wu

806 papers A* 98A 19B 31C 13Misc 20Journal 523Unranked 80
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACJoin: A Low-Latency Multi-Table Join Order Selection Model With Minimum Cost Using Asynchronous Advantage Actor-Critic.
IEEE Trans. Big Data
Shaojie Qiao, Chenxu Liu, Nan Han, Kanglei Xu, Ruiwei Gao, Xindong Wu
2026 J jnl
Analyzing bullet chats for recommendation intent identification: Dataset and method.
Artif. Intell.
Yi Zhu, Qinqin Han, Yun-Hao Yuan, Chaowei Zhang, Jipeng Qiang, Xindong Wu
2026 J jnl
CMA+DB: How to Automatically Tune Database Parameters Through Collaborative Multi-Agents.
IEEE Trans. Knowl. Data Eng.
Shaojie Qiao, Rongmin Tang, Jiangmin Li, Yunjun Gao, Quanqing Xu, Nan Han, Bangping Wang, Guan Yuan, Xindong Wu
2026 J jnl
Causal representation learning via graph attention mechanism with aggregating causal information.
Knowl. Based Syst.
Dianlong You, Jiawei Shen, Zexuan Li, Chuan Lu, Zhen Chen, Xindong Wu
2026 J jnl
DRUM: Distributionally robust optimization for LLM-based user model in interactive recommendation.
Inf. Process. Manag.
Huiting Liu, Yao Quan, Zirui Wang, Haiping Ma, Xindong Wu
2026 J jnl
Density-Based Online Concept Evolution Detection in Streaming Features.
IEEE Trans. Emerg. Top. Comput. Intell.
Peng Zhou, Haoran Yu, Yuanting Yan, Xindong Wu
2026 J jnl
Disentangled representation learning with causal effect transmission in variational autoencoder.
Pattern Recognit.
Dianlong You, Zexuan Li, Jiawei Shen, Zhao Yu, Shunfu Jin, Xindong Wu
2026 A* conf
Dual-Branch Multi-Granularity Network with Structured Contrastive Ranking for Cross-Modal Retrieval.
WWW
Zihao Chen, Chenyang Bu, Shengwei Ji, Xindong Wu
2026 J jnl
Enhancing Explainable Sequential Recommendation With Disentangled Representations and Auxiliary Review Explanations.
IEEE Trans. Comput. Soc. Syst.
Jinpeng Chen, Huachen Guan, Hongbo Gao, Huan Li, Zhenye Yang, Fan Zhang, Kaimin Wei, Feifei Kou, Xindong Wu
2026 J jnl
Generative Models for Time Series Anomaly Detection: A Survey.
IEEE Trans. Artif. Intell.
Jie Cao, Jiawei Miao, Haicheng Tao, Youquan Wang, Jia Wu, Zidong Wang, Xindong Wu
2026 J jnl
Heterogeneous Neighborhood-Enhanced Graph Contrastive Learning for Recommendation.
IEEE Trans. Comput. Soc. Syst.
Lei Sang, Chi Zhang, Maohao Huang, Lin Mu, Yiwen Zhang, Xindong Wu
2026 J jnl
Learning label-specific features for multi-dimensional classification.
Pattern Recognit.
Zan Zhang, Jialin Zhou, Jialu Yao, Lin Liu, Jiuyong Li, Lei Li, Xindong Wu
2026 J jnl
Mining High Average Utility Nonoverlapping Patterns from Sequential Database.
ACM Trans. Intell. Syst. Technol.
Meng Geng, Youxi Wu, Yan Li, Jing Liu, Lei Guo, Xingquan Zhu, Xindong Wu
2026 J jnl
OSP-Miner: Mining one-off weak-gap strong sequential patterns.
Inf. Sci.
Yan Li, Hongxi Yang, Meng Geng, Yajing Zhou, Jie Li, Youxi Wu, Xindong Wu
2026 J jnl
Optimizing Feature Interaction via Information Bottleneck for CTR Prediction.
IEEE Trans. Comput. Soc. Syst.
Lei Sang, Hanwei Li, Honghao Li, Yiwen Zhang, Xindong Wu
2026 J jnl
PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised MMEA.
CoRR
Yunpeng Hong, Chenyang Bu, Jie Zhang, Yi He, Di Wu, Xindong Wu
2026 — conf
PSQE: A Theoretical-Practical Approach to Pseudo Seed Quality Enhancement for Unsupervised Multimodal Entity Alignment.
KDD (1)
Yunpeng Hong, Chenyang Bu, Jie Zhang, Yi He, Di Wu, Xindong Wu
2026 J jnl
RPND: a rule guided link prediction model with specific-path selection.
Frontiers Comput. Sci.
Xiu-Lin Zheng, Pei-Pei Li, Zan Zhang, Xindong Wu
2026 J jnl
ReaCo-KGC: a reasoning-enhanced and interaction-corrective framework based on large language models for knowledge graph completion.
Expert Syst. Appl.
Tingting Jiang, Suqing Wu, Shuai Yang, Xiaohui Yuan, Lichuan Gu, Xindong Wu
2026 A* conf
Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG.
AAAI
Manzong Huang, Chenyang Bu, Yi He, Xingrui Zhuo, Xindong Wu
2026 J jnl
Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG.
CoRR
Manzong Huang, Chenyang Bu, Yi He, Xingrui Zhuo, Xindong Wu
2026 J jnl
Semantic Image Clustering With Deep Learning.
IEEE Trans. Cogn. Dev. Syst.
Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2026 J jnl
Unsupervised heterogeneous group streaming feature selection.
Pattern Recognit.
Peng Zhou, Qianzhen Chen, Lei Sang, Shu Zhao, Xindong Wu
2026 J jnl
Where to Go: A Spatial Social Force Graph Neural Network for Predicting Pedestrian Trajectories From Videos With Complex Motion Scenarios.
IEEE Trans. Comput. Soc. Syst.
Shaojie Qiao, Rongmin Tang, Leying Pan, Haosong Gou, Nan Han, Chunfang Yang, Guan Yuan, Tao Wu, Xindong Wu
2025 J jnl
A Cognitive Diagnosis Model With Nonlinear Dependence Between Students and Exercises.
IEEE Trans. Comput. Soc. Syst.
Yuhong Zhang, Zhihao Lin, Chenyang Bu, Kui Yu, Xuegang Hu, Xindong Wu
2025 J jnl
A Relation-Constraint Link Prediction Model for Dynamic Knowledge Graphs with Entity Drift.
ACM Trans. Knowl. Discov. Data
Xiulin Zheng, Pei-Pei Li, Zan Zhang, Jia Wu, Xindong Wu
2025 J jnl
A multi-agent reinforcement learning framework for cross-domain sequential recommendation.
Neural Networks
Huiting Liu, Junyi Wei, Kaiwen Zhu, Pei-Pei Li, Peng Zhao, Xindong Wu
2025 J jnl
An Automatic Paper-Reviewer Recommendation Algorithm Based on Depth and Breadth.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiulin Zheng, Pei-Pei Li, Xindong Wu
2025 J jnl
Balancing global and local interests in cross-domain recommendation systems.
Multim. Syst.
Yi Zhao, Jin Zhang, Jibing Gong, Jiquan Peng, Xindong Wu, Shishan Gong, Shuying Du
2025 J jnl
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation.
ACM Trans. Inf. Syst.
Lei Sang, Maohao Huang, Yu Wang, Yiwen Zhang, Xindong Wu
2025 J jnl
Causal Discovery Using Weight-Based Conditional Independence Test.
ACM Trans. Knowl. Discov. Data
Zhaolong Ling, Bo Li, Yiwen Zhang, Peng Zhou, Xingyu Wu, Yuee Huang, Kui Yu, Xindong Wu
2025 J jnl
Causal Feature Selection With Imbalanced Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Bingbing Jiang, Kui Yu, Xindong Wu
2025 J jnl
Causal Meta-learning with Multi-view Graphs for Cold-start Recommendation.
ACM Trans. Knowl. Discov. Data
Huiting Liu, Wei Zhang, Pei-Pei Li, Peng Zhao, Xindong Wu
2025 J jnl
Causality-driven attribute editing with bidirectional generative network.
Expert Syst. Appl.
Dianlong You, Zhao Yu, Jiawei Shen, Zexuan Li, Zhen Chen, Xindong Wu
2025 J jnl
Chinese Cyberbullying Detection: Dataset, Method, and Validation.
CoRR
Yi Zhu, Xin Zou, Xindong Wu
2025 J jnl
Clickbait Detection via Prompt-Tuning With Titles Only.
IEEE Trans. Emerg. Top. Comput. Intell.
Ye Wang, Yi Zhu, Yun Li, Jipeng Qiang, Yunhao Yuan, Xindong Wu
2025 J jnl
Collective Entity Linking based on Evolutionary Algorithms: A practical application.
Inf. Sci.
Jiao Li, Chenyang Bu, Jiacheng Liu, Peipei Li, Xindong Wu
2025 J jnl
Convert Cross-Domain Classification Into Few-Shot Learning: A Unified Prompt-Tuning Framework for Unsupervised Domain Adaptation.
IEEE Trans. Emerg. Top. Comput. Intell.
Yi Zhu, Hui Shen, Yun Li, Jipeng Qiang, Yun-Hao Yuan, Xindong Wu
2025 J jnl
Cross-domain representation learning with causal invariance.
Eng. Appl. Artif. Intell.
Dianlong You, Bingxin Liu, Dongyan Wang, Xiaoyi Ge, Zhen Chen, Xindong Wu
2025 J jnl
Denoising Heterogeneous Graph Pre-training Framework for Recommendation.
ACM Trans. Inf. Syst.
Lei Sang, Yu Wang, Yiwen Zhang, Xindong Wu
2025 J jnl
Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention.
IEEE Trans. Big Data
Huiting Liu, Huaxiu Zhang, Peipei Li, Peng Zhao, Xindong Wu
2025 J jnl
Disentangle Representation Learning with Excluding Confounding Bias for causal effect estimation.
Knowl. Based Syst.
Dianlong You, Dongyan Wang, Bingxin Liu, Xiaoyi Ge, Di Wu, Xindong Wu
2025 J jnl
Disentangled Multi-view Graph Neural Network for multilingual knowledge graph completion.
Appl. Soft Comput.
Bingbing Dong, Chenyang Bu, Ye Wang, Yi Zhu, Xindong Wu
2025 J jnl
Dynamic Graph Learning to Denoise Implicit Feedback for Graph Collaborative Filtering.
IEEE Trans. Comput. Soc. Syst.
Huiting Liu, Xinchen Xiong, Pei-Pei Li, Peng Zhao, Xindong Wu
2025 J jnl
EACE: Explain Anomaly via Counterfactual Explanations.
Pattern Recognit.
Peng Zhou, Qihui Tong, Shiji Chen, Yunyun Zhang, Xindong Wu
2025 A* conf
Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs.
WWW
Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Shirui Pan, Xindong Wu
2025 J jnl
Enhanced Multimodal Low-Rank Embedding-Based Feature Selection Model for Multimodal Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging
Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Xindong Wu
2025 J jnl
Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features.
CoRR
Shengda Zhuo, Di Wu, Yi He, Shuqiang Huang, Xindong Wu
2025 J jnl
Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors.
IEEE Trans. Knowl. Data Eng.
Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2025 J jnl
Fuzzy Preference Completion with Ranked and Unranked Preferences.
Cogn. Comput.
Lei Li, Pan Liu, Renjie Zhang, Zhenchao Tao, Xindong Wu
2025 J jnl
Generative-Contrastive Heterogeneous Graph Neural Network.
IEEE Trans. Big Data
Yu Wang, Lei Sang, Yi Zhang, Yiwen Zhang, Xindong Wu
2025 J jnl
Horizontal Federated Density Peaks Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2025 A* conf
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback.
IJCAI
Manzong Huang, Chenyang Bu, Yi He, Xindong Wu
2025 J jnl
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback.
CoRR
Manzong Huang, Chenyang Bu, Yi He, Xindong Wu
2025 J jnl
Inner-character and Inner-word Features Based Representation Learning for Chinese Word Embedding.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Yun Zhang, Yongguo Liu, Jiajing Zhu, Zhi Chen, Shuangqing Zhai, Xindong Wu
2025 J jnl
Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation.
IEEE Trans. Knowl. Data Eng.
Lei Sang, Yu Wang, Yi Zhang, Yiwen Zhang, Xindong Wu
2025 J jnl
Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning.
CoRR
Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Zhongyuan Wang, Jichen Zhang, Shirui Pan, Xindong Wu
2025 J jnl
LBFL: A Lightweight Blockchain-Based Federated Learning Framework With Proof-of-Contribution Committee Consensus.
IEEE Trans. Big Data
Shaojie Qiao, Yuhe Jiang, Nan Han, Wei Hua, Yufeng Lin, Shengjie Min, Xindong Wu
2025 J jnl
Label-Aware Causal Feature Selection.
IEEE Trans. Knowl. Data Eng.
Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu
2025 A* conf
Link Completion for Dynamic Knowledge Graphs with Entity Drift.
ICDM
Xiulin Zheng, Pei-Pei Li, Yi He, Xindong Wu
2025 J jnl
MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhihui Wang, Mingshuai Li, Zhiyuan Li, Xing-Li Zhang, Ming Li, Zhao Li, Weiping Ding, Xindong Wu
2025 J jnl
Mining Repetitive Negative Sequential Patterns with Gap Constraints.
ACM Trans. Knowl. Discov. Data
Yan Li, Zhulin Wang, Jing Liu, Lei Guo, Philippe Fournier-Viger, Youxi Wu, Xindong Wu
2025 J jnl
NSPG-Miner: Mining Repetitive Negative Sequential Patterns.
CoRR
Yan Li, Zhulin Wang, Jing Liu, Lei Guo, Philippe Fournier-Viger, Youxi Wu, Xindong Wu
2025 J jnl
OER-Miner: One-Off Episode Rule Mining for Process Event Logs.
IEEE Trans. Emerg. Top. Comput.
Youxi Wu, Zhihong Dong, Jing Liu, Yan Li, Cong Liu, Lijie Wen, Xindong Wu
2025 J jnl
OIP-Miner: one-off incremental sequential pattern mining with forgetting factor.
Sci. China Inf. Sci.
Youxi Wu, Shuang Tian, Yan Li, Jing Liu, Jinyan Li, Wenjian Wang, Xindong Wu
2025 J jnl
OUTO-Miner: Detecting outlying occurrences in maximal frequent order-preserving patterns in time series.
Inf. Sci.
Youxi Wu, Siqi Lou, Yan Li, Lei Guo, Philippe Fournier-Viger, Xindong Wu
2025 J jnl
Online Distributed Heterogeneous Streaming Feature Selection.
ACM Trans. Intell. Syst. Technol.
Peng Zhou, Huiqi Deng, Yunyun Zhang, Zhaolong Ling, Xindong Wu
2025 J jnl
Online Learning from Mix-typed, Drifted, and Incomplete Streaming Features.
ACM Trans. Knowl. Discov. Data
Shengda Zhuo, Di Wu, Yi He, Shuqiang Huang, Xindong Wu
2025 J jnl
Online Outlier Detection in Open Feature Spaces.
IEEE Trans. Knowl. Data Eng.
Heng Lian, Yi He, Di Wu, Zhong Chen, Xingquan Zhu, Xindong Wu
2025 J jnl
Online Stable Streaming Feature Selection via Feature Aggregation.
ACM Trans. Knowl. Discov. Data
Peng Zhou, Qi Wang, Yunyun Zhang, Zhaolong Ling, Shu Zhao, Xindong Wu
2025 J jnl
Online learning from incomplete data streams with partial labels for multi-classification.
Inf. Sci.
Huigui Yan, Jiale Liu, Da Han, Dianlong You, Hongtao Wu, Zhen Chen, Xianshan Li, Shunfu Jin, Xindong Wu
2025 J jnl
Parameter-Adaptive Border Peeling Clustering Algorithm.
IEEE Trans. Knowl. Data Eng.
Hui Tu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2025 J jnl
Predicting microRNA-Disease Associations Through Multi-View Feature Fusion and Matrix Completion on Graph Convolutional Networks.
IEEE Trans. Comput. Biol. Bioinform.
Shifei Ding, Chuangui Cao, Fan Sun, Xuan Li, Xindong Wu
2025 A* conf
Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs.
IJCAI
Xingrui Zhuo, Shirui Pan, Jiapu Wang, Gongqing Wu, Zan Zhang, Rui Li, Zizhong Wei, Xindong Wu
2025 — conf
Query-Driven Multimodal GraphRAG: Dynamic Local Knowledge Graph Construction for Online Reasoning.
ACL (Findings)
Chenyang Bu, Guojie Chang, Zihao Chen, CunYuan Dang, Zhize Wu, Yi He, Xindong Wu
2025 B conf
Relation-Aware Retrieval Augmented Generation for Relation Extraction.
SMC
Lei Tian, Chenyang Bu, Manzong Huang, Xindong Wu
2025 J jnl
Robust Density Peaks Clustering for Manifold Data With Multiple Peaks.
IEEE Trans. Pattern Anal. Mach. Intell.
Ling Ding, Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Xindong Wu
2025 J jnl
SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaoyong Mei, Kejin Zhang, Changqin Huang, Xiao Chen, Ming Li, Zhao Li, Weiping Ding, Xindong Wu
2025 J jnl
Simplified multi-view graph neural network for multilingual knowledge graph completion.
Frontiers Comput. Sci.
Bingbing Dong, Chenyang Bu, Yi Zhu, Shengwei Ji, Xindong Wu
2025 J jnl
Size-fixed group discovery via multi-constrained graph pattern matching.
Inf. Sci.
Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu
2025 J jnl
TGformer: A Graph Transformer Framework for Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Fobo Shi, Duantengchuan Li, Xiaoguang Wang, Bing Li, Xindong Wu
2025 J jnl
Unbiased Meta Reinforcement Learning for Interactive Recommender Systems.
IEEE Trans. Multim.
Huiting Liu, Xinlong Lv, Peng Zhao, Peipei Li, Xindong Wu
2025 J jnl
Vertical Federated Density Peaks Clustering Under Nonlinear Mapping.
IEEE Trans. Knowl. Data Eng.
Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2024 J jnl
A Chinese power text classification algorithm based on deep active learning.
Appl. Soft Comput.
Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu
2024 J jnl
A Comprehensive Survey on Automatic Knowledge Graph Construction.
ACM Comput. Surv.
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu
2024 J jnl
A cross-network node classification method in open-set scenario.
Pattern Recognit.
Yuhong Zhang, Yunlong Ji, Kui Yu, Xuegang Hu, Xindong Wu
2024 J jnl
ABA-FWI: Augmented Boundary Attention for Full Waveform Inversion.
IEEE Trans. Geosci. Remote. Sens.
Qiong Xu, Fan Min, Shulin Pan, Xing-Yi Zhang, Guojie Song, Ke Wang, Xindong Wu
2024 J jnl
Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph Completion.
IEEE Trans. Neural Networks Learn. Syst.
Yuling Li, Kui Yu, Yuhong Zhang, Jiye Liang, Xindong Wu
2024 J jnl
An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection.
IEEE Trans. Knowl. Data Eng.
Xinye Wang, Lei Duan, Chengxin He, Yuanyuan Chen, Xindong Wu
2024 J jnl
An effective algorithm for genealogical graph partitioning.
Appl. Intell.
Shaojing Sheng, Zan Zhang, Peng Zhou, Xindong Wu
2024 A conf
Automatic Fusion for Multimodal Entity Alignment: A New Perspective from Automatic Architecture Search.
ICME
Chenyang Bu, Yunpeng Hong, Shiji Zang, Guojie Chang, Xindong Wu
2024 A* conf
CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization.
ICDM
Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu
2024 J jnl
COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification.
IEEE Trans. Knowl. Data Eng.
Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu
2024 B conf
Classification of Table Cells Based on LLM Prompts.
SMC
Mengjie Liu, Chenyang Bu, Shengxing Bai, Bingbing Dong, Xindong Wu
2024 J jnl
Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series.
ACM Trans. Manag. Inf. Syst.
Youxi Wu, Zhen Wang, Yan Li, Yingchun Guo, He Jiang, Xingquan Zhu, Xindong Wu
2024 J jnl
Co-occurrence order-preserving pattern mining.
CoRR
Youxi Wu, Zhen Wang, Yan Li, Yingchun Guo, He Jiang, Xingquan Zhu, Xindong Wu
2024 J jnl
Concept Evolution Detecting over Feature Streams.
ACM Trans. Knowl. Discov. Data
Peng Zhou, Yufeng Guo, Haoran Yu, Yuanting Yan, Yanping Zhang, Xindong Wu
2024 J jnl
ConsistencyDet: A Robust Object Detector with a Denoising Paradigm of Consistency Model.
CoRR
Lifan Jiang, Zhihui Wang, Changmiao Wang, Ming Li, Jiaxu Leng, Xindong Wu
2024 J jnl
Continuous causal structure learning from incremental instances and feature spaces.
Inf. Fusion
Dianlong You, Hongtao Wu, Jiale Liu, Huigui Yan, Chuan Ma, Zhen Chen, Xindong Wu
2024 J jnl
DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation.
ACM Trans. Knowl. Discov. Data
Huiting Liu, Yu Zhang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
2024 J jnl
Diverse Structure-Aware Relation Representation in Cross-Lingual Entity Alignment.
ACM Trans. Knowl. Discov. Data
Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu
2024 J jnl
EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation.
IEEE Trans. Big Data
Ming Li, Zhao Li, Changqin Huang, Yunliang Jiang, Xindong Wu
2024 J jnl
Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs.
CoRR
Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Shirui Pan, Xindong Wu
2024 J jnl
Explainable feature selection and ensemble classification via feature polarity.
Inf. Sci.
Peng Zhou, Ji Liang, Yuanting Yan, Shu Zhao, Xindong Wu
2024 J jnl
FHCPL: An Intelligent Fixed-Horizon Constrained Policy Learning System for Risk-Sensitive Industrial Scenario.
IEEE Trans. Ind. Informatics
Ke Lin, Duantengchuan Li, Yanjie Li, Shiyu Chen, Xindong Wu
2024 J jnl
Fair Feature Selection: A Causal Perspective.
ACM Trans. Knowl. Discov. Data
Zhaolong Ling, Enqi Xu, Peng Zhou, Liang Du, Kui Yu, Xindong Wu
2024 — conf
Feature Enhancement for Multi-modal Entity Alignment Transformer.
ICKG
Zewen Deng, Zan Zhang, Bingbing Dong, Xiulin Zheng, Xindong Wu
2024 J jnl
Feature Interaction Fusion Self-Distillation Network For CTR Prediction.
CoRR
Lei Sang, Qiuze Ru, Honghao Li, Yiwen Zhang, Qian Cao, Xindong Wu
2024 J jnl
Fuzzy Ranking-Based Preference Completion via Graph Pattern Matching and Rematching.
IEEE Trans. Emerg. Top. Comput. Intell.
Lei Li, Pan Liu, Chenyang Bu, Zan Zhang, Xindong Wu
2024 J jnl
Geometric-Contextual Mutual Infomax Path Aggregation for Relation Reasoning on Knowledge Graph.
IEEE Trans. Knowl. Data Eng.
Xingrui Zhuo, Gongqing Wu, Zan Zhang, Xindong Wu
2024 J jnl
Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling.
IEEE Trans. Knowl. Data Eng.
Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu
2024 J jnl
Heterogeneous Meta-Path Graph Learning for Higher-Order Social Recommendation.
ACM Trans. Knowl. Discov. Data
Munan Li, Kai Liu, Hongbo Liu, Zheng Zhao, Tomas E. Ward, Xindong Wu
2024 J jnl
High-degree penalty based global statistical network embedding for name disambiguation in anonymized graph.
Concurr. Comput. Pract. Exp.
Shengxing Bai, Chenyang Bu, Xindong Wu
2024 J jnl
Hybrid Local Causal Discovery.
CoRR
Zhaolong Ling, Honghui Peng, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu
2024 A* ed.
IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024
ICDM
Elena Baralis, Kun Zhang, Ernesto Damiani, Mérouane Debbah, Panos Kalnis, Xindong Wu
2024 — ed.
IEEE International Conference on Knowledge Graph, ICKG 2024, Abu Dhabi, United Arab Emirates, December 11-12, 2024
ICKG
Huajun Chen, Anna Fensel, Xingquan Zhu, Roger Wattenhofer, Xindong Wu
2024 J jnl
Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation.
CoRR
Lei Sang, Yu Wang, Yi Zhang, Yiwen Zhang, Xindong Wu
2024 J jnl
Iterative Soft Prompt-Tuning for Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Yi Zhu, Shuqin Wang, Jipeng Qiang, Xindong Wu
2024 J jnl
Layer-Wise Learning Rate Optimization for Task-Dependent Fine-Tuning of Pre-Trained Models: An Evolutionary Approach.
ACM Trans. Evol. Learn. Optim.
Chenyang Bu, Yuxin Liu, Manzong Huang, Jianxuan Shao, Shengwei Ji, Wenjian Luo, Xindong Wu
2024 J jnl
Local causal structure learning with missing data.
Expert Syst. Appl.
Shaojing Sheng, Xianjie Guo, Kui Yu, Xindong Wu
2024 J jnl
LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph.
IEEE Trans. Emerg. Top. Comput.
Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu
2024 J jnl
OPF-Miner: Order-Preserving Pattern Mining With Forgetting Mechanism for Time Series.
IEEE Trans. Knowl. Data Eng.
Yan Li, Chenyu Ma, Rong Gao, Youxi Wu, Jinyan Li, Wenjian Wang, Xindong Wu
2024 J jnl
Online Heterogeneous Streaming Feature Selection Without Feature Type Information.
IEEE Trans. Big Data
Peng Zhou, Yunyun Zhang, Zhaolong Ling, Yuanting Yan, Shu Zhao, Xindong Wu
2024 J jnl
Online Learning for Data Streams With Incomplete Features and Labels.
IEEE Trans. Knowl. Data Eng.
Dianlong You, Huigui Yan, Jiawei Xiao, Zhen Chen, Di Wu, Limin Shen, Xindong Wu
2024 J jnl
Order-preserving pattern mining with forgetting mechanism.
CoRR
Yan Li, Chenyu Ma, Rong Gao, Youxi Wu, Jinyan Li, Wenjian Wang, Xindong Wu
2024 J jnl
Partial Label Feature Selection: An Adaptive Approach.
IEEE Trans. Knowl. Data Eng.
Zan Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Lei Li, Xindong Wu
2024 J jnl
Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning.
IEEE Trans. Knowl. Data Eng.
Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, Xindong Wu
2024 J jnl
Prompt-Learning for Short Text Classification.
IEEE Trans. Knowl. Data Eng.
Yi Zhu, Ye Wang, Jipeng Qiang, Xindong Wu
2024 J jnl
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining.
IEEE Trans. Knowl. Data Eng.
Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
2024 J jnl
Representation learning: serial-autoencoder for personalized recommendation.
Frontiers Comput. Sci.
Yi Zhu, Yishuai Geng, Yun Li, Jipeng Qiang, Xindong Wu
2024 — conf
SLMP: A Scientific Literature Management Platform Based on Large Language Models.
ICKG
Menghao Guo, Jinling Jiang, Fan Wu, Shanxin Sun, Chen Zhang, Wenhui Li, Zeyi Sun, Guangyong Chen, Xindong Wu
2024 J jnl
Self-Adaptive Deep Asymmetric Network for Imbalanced Recommendation.
IEEE Trans. Emerg. Top. Comput. Intell.
Yi Zhu, Yishuai Geng, Yun Li, Jipeng Qiang, Yunhao Yuan, Xindong Wu
2024 J jnl
Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis.
IEEE Trans. Image Process.
Zhi Chen, Yongguo Liu, Yun Zhang, Jiajing Zhu, Qiaoqin Li, Xindong Wu
2024 J jnl
Short text classification with Soft Knowledgeable Prompt-tuning.
Expert Syst. Appl.
Yi Zhu, Ye Wang, Jianyuan Mu, Yun Li, Jipeng Qiang, Yunhao Yuan, Xindong Wu
2024 J jnl
Stable Learning via Triplex Learning.
IEEE Trans. Artif. Intell.
Shuai Yang, Tingting Jiang, Qianlong Dang, Lichuan Gu, Xindong Wu
2024 J jnl
Synergistic Deep Graph Clustering Network.
CoRR
Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu
2024 J jnl
Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder.
ACM Trans. Knowl. Discov. Data
Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao, Xindong Wu
2024 A conf
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services.
ICWS
Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu
2024 J jnl
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services.
CoRR
Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu
2024 J jnl
Unifying Large Language Models and Knowledge Graphs: A Roadmap.
IEEE Trans. Knowl. Data Eng.
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu
2024 J jnl
Wavelet and Adaptive Coordinate Attention Guided Fine-Grained Residual Network for Image Denoising.
IEEE Trans. Circuits Syst. Video Technol.
Shifei Ding, Qidong Wang, Lili Guo, Xuan Li, Ling Ding, Xindong Wu
2023 J jnl
A Comprehensive Survey on Automatic Knowledge Graph Construction.
CoRR
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu
2023 J jnl
A Light Causal Feature Selection Approach to High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu
2023 J jnl
A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack.
IEEE Trans. Ind. Informatics
Song Deng, Jiantang Zhang, Di Wu, Yi He, Xiangpeng Xie, Xindong Wu
2023 J jnl
Adversarial Heterogeneous Graph Neural Network for Robust Recommendation.
IEEE Trans. Comput. Soc. Syst.
Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu
2023 J jnl
Are Graph Convolutional Networks With Random Weights Feasible?
IEEE Trans. Pattern Anal. Mach. Intell.
Changqin Huang, Ming Li, Feilong Cao, Hamido Fujita, Zhao Li, Xindong Wu
2023 J jnl
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation.
Pattern Recognit.
Ming Li, Lin Zhang, Lixin Cui, Lu Bai, Zhao Li, Xindong Wu
2023 J jnl
Causal Feature Selection With Efficient Spouses Discovery.
IEEE Trans. Big Data
Zhaolong Ling, Bo Li, Yiwen Zhang, Qingren Wang, Kui Yu, Xindong Wu
2023 J jnl
ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling.
CoRR
Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu
2023 J jnl
Chinese Idiom Paraphrasing.
Trans. Assoc. Comput. Linguistics
Jipeng Qiang, Yang Li, Chaowei Zhang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu
2023 J jnl
Counterfactual explanation generation with minimal feature boundary.
Inf. Sci.
Dianlong You, Shina Niu, Siqi Dong, Huigui Yan, Zhen Chen, Di Wu, Limin Shen, Xindong Wu
2023 — conf
Cross-Knowledge Graph Relation Completion for Non-isomorphic Cross-lingual Entity Alignment.
DMSVIVA
Yuhong Zhang, Dan Lu, Chenyang Bu, Kui Yu, Xindong Wu
2023 J jnl
Crowdsourcing Truth Inference Based on Label Confidence Clustering.
ACM Trans. Knowl. Discov. Data
Gongqing Wu, Liangzhu Zhou, Jiazhu Xia, Lei Li, Xianyu Bao, Xindong Wu
2023 J jnl
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding.
ACM Trans. Knowl. Discov. Data
Gongqing Wu, Xingrui Zhuo, Xianyu Bao, Xuegang Hu, Richang Hong, Xindong Wu
2023 A* conf
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract.
ICDE
Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu
2023 J jnl
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks.
ACM Trans. Knowl. Discov. Data
Xin Jiang, Zhengxin Yu, Chao Hai, Hongbo Liu, Xindong Wu, Tomás Ward
2023 J jnl
Difficult Novel Class Detection in Semisupervised Streaming Data.
IEEE Trans. Neural Networks Learn. Syst.
Peng Zhou, Ni Wang, Shu Zhao, Yanping Zhang, Xindong Wu
2023 J jnl
Enhancing review-based user representation on learned social graph for recommendation.
Knowl. Based Syst.
Huiting Liu, Yi Chen, Pei-Pei Li, Peng Zhao, Xindong Wu
2023 J jnl
Fair Causal Feature Selection.
CoRR
Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu
2023 J jnl
Graph attention network with dynamic representation of relations for knowledge graph completion.
Expert Syst. Appl.
Xin Zhang, Chunxia Zhang, Jingtao Guo, Cheng Peng, Zhendong Niu, Xindong Wu
2023 J jnl
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets.
Data Intell.
Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng
2023 J jnl
Hierarchical Feature Selection Based on Label Distribution Learning.
IEEE Trans. Knowl. Data Eng.
Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu
2023 J jnl
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection.
IEEE Trans. Knowl. Data Eng.
Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu
2023 A* ed.
IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023
ICDM
Guihai Chen, Latifur Khan, Xiaofeng Gao, Meikang Qiu, Witold Pedrycz, Xindong Wu
2023 — ed.
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023
ICKG
Victor S. Sheng, Chindo Hicks, Charles Ling, Vijay Raghavan, Xindong Wu
2023 A* conf
IKGN: Intention-aware Knowledge Graph Network for POI Recommendation.
ICDM
Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He, Xindong Wu
2023 J jnl
Improving Detection of ChatGPT-Generated Fake Science Using Real Publication Text: Introducing xFakeBibs a Supervised-Learning Network Algorithm.
CoRR
Ahmed Abdeen Hamed, Xindong Wu
2023 J jnl
Independent Relation Representation With Line Graph for Cross-Lingual Entity Alignment.
IEEE Trans. Knowl. Data Eng.
Yuhong Zhang, Jianqing Wu, Kui Yu, Xindong Wu
2023 J jnl
Integrating Global and Local Feature Selection for Multi-Label Learning.
ACM Trans. Knowl. Discov. Data
Zan Zhang, Lin Liu, Jiuyong Li, Xindong Wu
2023 J jnl
Joint user profiling with hierarchical attention networks.
Frontiers Comput. Sci.
Xiaojian Liu, Yi Zhu, Xindong Wu
2023 — conf
KOSA: KO Enhanced Salary Analytics based on Knowledge Graph and LLM Capabilities.
ICDM (Workshops)
Fei Huang, Yi Deng, Chen Zhang, Menghao Guo, Kai Zhan, Shanxin Sun, Jinling Jiang, Zeyi Sun, Xindong Wu
2023 J jnl
Knowledge Graph for China's Genealogy
IEEE Trans. Knowl. Data Eng.
Xindong Wu, Tingting Jiang, Yi Zhu, Chenyang Bu
2023 J jnl
Local causal structure learning for streaming features.
Inf. Sci.
Dianlong You, Siqi Dong, Shina Niu, Huigui Yan, Zhen Chen, Shunfu Jin, Di Wu, Xindong Wu
2023 J jnl
MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining.
IEEE Trans. Knowl. Data Eng.
Yan Li, Chang Zhang, Jie Li, Wei Song, Zhenlian Qi, Youxi Wu, Xindong Wu
2023 J jnl
Maximal co-occurrence nonoverlapping sequential rule mining.
CoRR
Yan Li, Chang Zhang, Jie Li, Wei Song, Zhenlian Qi, Youxi Wu, Xindong Wu
2023 J jnl
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation.
ACM Trans. Knowl. Discov. Data
Zan Zhang, Zhe Zhang, Jialu Yao, Lin Liu, Jiuyong Li, Gongqing Wu, Xindong Wu
2023 J jnl
Multi-Level Attention Map Network for Multimodal Sentiment Analysis.
IEEE Trans. Knowl. Data Eng.
Xiaojun Xue, Chunxia Zhang, Zhendong Niu, Xindong Wu
2023 J jnl
Natural language watermarking via paraphraser-based lexical substitution.
Artif. Intell.
Jipeng Qiang, Shiyu Zhu, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu
2023 J jnl
ONP-Miner: One-off Negative Sequential Pattern Mining.
ACM Trans. Knowl. Discov. Data
Youxi Wu, Mingjie Chen, Yan Li, Jing Liu, Zhao Li, Jinyan Li, Xindong Wu
2023 J jnl
OPP-Miner: Order-Preserving Sequential Pattern Mining for Time Series.
IEEE Trans. Cybern.
Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu
2023 J jnl
OPR-Miner: Order-Preserving Rule Mining for Time Series.
IEEE Trans. Knowl. Data Eng.
Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu
2023 A* conf
On Computing Paradigms - Where Will Large Language Models Be Going.
ICDM
Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang
2023 J jnl
Online Causal Feature Selection for Streaming Features.
IEEE Trans. Neural Networks Learn. Syst.
Dianlong You, Ruiqi Li, Shunpan Liang, Miaomiao Sun, Xinju Ou, Fuyong Yuan, Limin Shen, Xindong Wu
2023 J jnl
Online Learning From Incomplete and Imbalanced Data Streams.
IEEE Trans. Knowl. Data Eng.
Dianlong You, Jiawei Xiao, Yang Wang, Huigui Yan, Di Wu, Zhen Chen, Limin Shen, Xindong Wu
2023 J jnl
Online Multi-Label Streaming Feature Selection With Label Correlation.
IEEE Trans. Knowl. Data Eng.
Dianlong You, Yang Wang, Jiawei Xiao, Yaojin Lin, Maosheng Pan, Zhen Chen, Limin Shen, Xindong Wu
2023 J jnl
REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation.
Expert Syst. Appl.
Huiting Liu, Kun Cai, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
2023 J jnl
Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation.
Knowl. Based Syst.
Huiting Liu, Lei Wang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
2023 J jnl
Repetitive nonoverlapping sequential pattern mining.
CoRR
Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
2023 J jnl
Representation learning via an integrated autoencoder for unsupervised domain adaptation.
Frontiers Comput. Sci.
Yi Zhu, Xindong Wu, Jipeng Qiang, Yunhao Yuan, Yun Li
2023 J jnl
Self-Adaptive Imbalanced Domain Adaptation With Deep Sparse Autoencoder.
IEEE Trans. Artif. Intell.
Yi Zhu, Xindong Wu, Yun Li, Jipeng Qiang, Yunhao Yuan
2023 J jnl
Semantic Fusion Enhanced Event Detection via Multi-Graph Attention Network with Skip Connection.
IEEE Trans. Emerg. Top. Comput. Intell.
Gongqing Wu, Zhenya Lu, Xingrui Zhuo, Xianyu Bao, Xindong Wu
2023 J jnl
Semi-Supervised Graph Pattern Matching and Rematching for Expert Community Location.
ACM Trans. Knowl. Discov. Data
Lei Li, Mengjiao Yan, Zhenchao Tao, Huanhuan Chen, Xindong Wu
2023 B conf
Semi-supervised Multi-Label Learning with Missing Labels via Correlation Information.
IJCNN
Zexian Xie, Peipei Li, Jinling Jiang, Xindong Wu
2023 J jnl
TIRA: Truth Inference via Reliability Aggregation on Object-Source Graph.
IEEE Trans. Knowl. Data Eng.
Gongqing Wu, Xingrui Zhuo, Liangzhu Zhou, Xianyu Bao, Richang Hong, Xindong Wu
2023 J jnl
Three-way Preference Completion via Preference Graph.
ACM Trans. Knowl. Discov. Data
Lei Li, Zhiyuan Liu, Zan Zhang, Huanhuan Chen, Xindong Wu
2023 J jnl
Top-k contrast order-preserving pattern mining for time series classification.
CoRR
Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu
2023 A* conf
Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space.
IJCAI
Yi He, Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu
2023 J jnl
Unifying Large Language Models and Knowledge Graphs: A Roadmap.
CoRR
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu
2023 J jnl
Unsupervised statistical text simplification using pre-trained language modeling for initialization.
Frontiers Comput. Sci.
Jipeng Qiang, Feng Zhang, Yun Li, Yunhao Yuan, Yi Zhu, Xindong Wu
2023 — conf
User Interaction-Aware Knowledge Graphs for Recommender Systems.
DEXA (2)
Ru Wang, Bingbing Dong, Tianyang Li, Meng Wu, Chenyang Bu, Xindong Wu
2022 J jnl
A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction.
IEEE Trans. Knowl. Data Eng.
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2022 J jnl
A Survey on Large-Scale Machine Learning.
IEEE Trans. Knowl. Data Eng.
Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu
2022 J jnl
A Two-Phase Method to Balance the Result of Distributed Graph Repartitioning.
IEEE Trans. Big Data
He Li, Jianbin Huang, Hang Yuan, Jiangtao Cui, Xiaoke Ma, Shaojie Qiao, Xindong Wu
2022 J jnl
A deep selective learning network for cross-domain recommendation.
Appl. Soft Comput.
Huiting Liu, Qian Liu, Peipei Li, Peng Zhao, Xindong Wu
2022 J jnl
Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction.
IEEE Trans. Fuzzy Syst.
Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu
2022 J jnl
Block-Structured Optimization for Subgraph Detection in Interdependent Networks.
CoRR
Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu
2022 J jnl
Certainty-based Preference Completion.
Data Intell.
Lei Li, Minghe Xue, Zan Zhang, Huanhuan Chen, Xindong Wu
2022 J jnl
Chinese Idiom Paraphrasing.
CoRR
Jipeng Qiang, Yang Li, Chaowei Zhang, Yun Li, Yunhao Yuan, Yi Zhu, Xindong Wu
2022 J jnl
Combining embedding-based and symbol-based methods for entity alignment.
Pattern Recognit.
Tingting Jiang, Chenyang Bu, Yi Zhu, Xindong Wu
2022 J jnl
DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction.
IEEE Trans. Knowl. Data Eng.
Jiajing Zhu, Yongguo Liu, Chuanbiao Wen, Xindong Wu
2022 J jnl
Data Stream Classification Based on Extreme Learning Machine: A Review.
Big Data Res.
Xiulin Zheng, Pei-Pei Li, Xindong Wu
2022 J jnl
Deep Forest with Hashing Screening and Window Screening.
CoRR
Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu
2022 J jnl
Dual-Representation-Based Autoencoder for Domain Adaptation.
IEEE Trans. Cybern.
Shuai Yang, Kui Yu, Fuyuan Cao, Hao Wang, Xindong Wu
2022 J jnl
Embedding Knowledge for Document Summarization: A Survey.
CoRR
Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu, Xindong Wu
2022 J jnl
Frequent Pattern Mining in Big Social Graphs.
IEEE Trans. Emerg. Top. Comput. Intell.
Lei Li, Ping Ding, Huanhuan Chen, Xindong Wu
2022 J jnl
General assembly framework for online streaming feature selection via Rough Set models.
Expert Syst. Appl.
Peng Zhou, Yunyun Zhang, Peipei Li, Xindong Wu
2022 — conf
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets.
ICKG
Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng
2022 J jnl
HW-Forest: Deep Forest with Hashing Screening and Window Screening.
ACM Trans. Knowl. Discov. Data
Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu
2022 A* conf
Hypernode: Entity Fusion for Data Traceability and Link Prediction.
ICDM
Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, Xindong Wu
2022 A* ed.
IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022
ICDM
Xingquan Zhu, Sanjay Ranka, My T. Thai, Takashi Washio, Xindong Wu
2022 — ed.
IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022
ICKG
Peipei Li, Kui Yu, Nitesh V. Chawla, Ronen Feldman, Qing Li, Xindong Wu
2022 J jnl
Interval-Valued Intuitionistic Fuzzy Decision With Graph Pattern in Big Graph.
IEEE Trans. Emerg. Top. Comput. Intell.
Lei Li, Lan Jiang, Chenyang Bu, Yi Zhu, Xindong Wu
2022 J jnl
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion.
CoRR
Yuling Li, Kui Yu, Yuhong Zhang, Xindong Wu
2022 J jnl
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble.
ACM Trans. Knowl. Discov. Data
Yaojin Lin, Qinghua Hu, Jinghua Liu, Xingquan Zhu, Xindong Wu
2022 J jnl
Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiajing Zhu, Yongguo Liu, Yun Zhang, Zhi Chen, Xindong Wu
2022 J jnl
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining.
ACM Trans. Knowl. Discov. Data
Youxi Wu, Lanfang Luo, Yan Li, Lei Guo, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
2022 J jnl
NWP-Miner: Nonoverlapping weak-gap sequential pattern mining.
Inf. Sci.
Youxi Wu, Zhu Yuan, Yan Li, Lei Guo, Philippe Fournier-Viger, Xindong Wu
2022 J jnl
NetDPO: (delta, gamma)-approximate pattern matching with gap constraints under one-off condition.
Appl. Intell.
Yan Li, Lei Yu, Jing Liu, Lei Guo, Youxi Wu, Xindong Wu
2022 J jnl
NetNDP: Nonoverlapping (delta, gamma)-approximate pattern matching.
Intell. Data Anal.
Youxi Wu, Bojing Jian, Yan Li, He Jiang, Xindong Wu
2022 J jnl
NetNMSP: Nonoverlapping maximal sequential pattern mining.
Appl. Intell.
Yan Li, Shuai Zhang, Lei Guo, Jing Liu, Youxi Wu, Xindong Wu
2022 J jnl
Nonoverlapping (delta, gamma)-approximate pattern matching.
CoRR
Youxi Wu, Bojing Jian, Yan Li, He Jiang, Xindong Wu
2022 J jnl
OPP-Miner: Order-preserving sequential pattern mining.
CoRR
Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu
2022 J jnl
OPR-Miner: Order-preserving rule mining for time series.
CoRR
Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu
2022 J jnl
OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining.
ACM Trans. Manag. Inf. Syst.
Youxi Wu, Xiaohui Wang, Yan Li, Lei Guo, Zhao Li, Ji Zhang, Xindong Wu
2022 J jnl
One-off Negative Sequential Pattern Mining.
CoRR
Youxi Wu, Mingjie Chen, Yan Li, Jing Liu, Zhao Li, Jinyan Li, Xindong Wu
2022 J jnl
Online Scalable Streaming Feature Selection via Dynamic Decision.
ACM Trans. Knowl. Discov. Data
Peng Zhou, Shu Zhao, Yuan-Ting Yan, Xindong Wu
2022 J jnl
Online feature selection for multi-source streaming features.
Inf. Sci.
Dianlong You, Miaomiao Sun, Shunpan Liang, Ruiqi Li, Yang Wang, Jiawei Xiao, Fuyong Yuan, Limin Shen, Xindong Wu
2022 J jnl
PSL: An Algorithm for Partial Bayesian Network Structure Learning.
ACM Trans. Knowl. Discov. Data
Zhaolong Ling, Kui Yu, Lin Liu, Jiuyong Li, Yiwen Zhang, Xindong Wu
2022 J jnl
Prompt-Learning for Short Text Classification.
CoRR
Yi Zhu, Xinke Zhou, Jipeng Qiang, Yun Li, Yunhao Yuan, Xindong Wu
2022 J jnl
Representation learning with deep sparse auto-encoder for multi-task learning.
Pattern Recognit.
Yi Zhu, Xindong Wu, Jipeng Qiang, Xuegang Hu, Yuhong Zhang, Pei-Pei Li
2022 J jnl
Self-adaptive nonoverlapping sequential pattern mining.
Appl. Intell.
Yuehua Wang, Youxi Wu, Yan Li, Fang Yao, Philippe Fournier-Viger, Xindong Wu
2022 J jnl
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey.
IEEE Trans. Knowl. Data Eng.
Jipeng Qiang, Zhenyu Qian, Yun Li, Yunhao Yuan, Xindong Wu
2022 J jnl
Social Group Query Based on Multi-Fuzzy-Constrained Strong Simulation.
ACM Trans. Knowl. Discov. Data
Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu
2022 J jnl
The Evolution of Search: Three Computing Paradigms.
ACM Trans. Manag. Inf. Syst.
Xindong Wu, Xingquan Zhu, Minghui Wu
2022 J jnl
Top-k Self-Adaptive Contrast Sequential Pattern Mining.
IEEE Trans. Cybern.
Youxi Wu, Yuehua Wang, Yan Li, Xingquan Zhu, Xindong Wu
2022 J jnl
Towards Efficient Local Causal Structure Learning.
IEEE Trans. Big Data
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
2022 J jnl
User Behavior Analysis Based on Stacked Autoencoder and Clustering in Complex Power Grid Environment.
IEEE Trans. Intell. Transp. Syst.
Song Deng, Qingyuan Cai, Zi Zhang, Xindong Wu
2022 A* conf
Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion.
ICDM
Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu
2021 A conf
A Chinese Knowledge Base Question Answering System.
CIKM
Xiaona Xue, Jinling Jiang, Wenjian Zhang, Yanxiang Huang, Xindong Wu
2021 J jnl
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model.
ACM Trans. Intell. Syst. Technol.
Shaojie Qiao, Nan Han, Jianbin Huang, Kun Yue, Rui Mao, Hongping Shu, Qiang He, Xindong Wu
2021 — conf
A Scheme for Kinship Reasoning based on Ontology.
ICBK
Ru Chen, Guliu Liu, Yi Zhu, Xindong Wu
2021 — conf
A Weak Supervision Approach with Adversarial Training for Named Entity Recognition.
PRICAI (2)
Jianxuan Shao, Chenyang Bu, Shengwei Ji, Xindong Wu
2021 J jnl
A coarse-to-fine collective entity linking method for heterogeneous information networks.
Knowl. Based Syst.
Jiao Li, Chenyang Bu, Pei-Pei Li, Xindong Wu
2021 J jnl
Causality-based Feature Selection: Methods and Evaluations.
ACM Comput. Surv.
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
2021 J jnl
Chinese Lexical Simplification.
IEEE ACM Trans. Audio Speech Lang. Process.
Jipeng Qiang, Xinyu Lu, Yun Li, Yunhao Yuan, Xindong Wu
2021 J jnl
Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation.
Inf. Sci.
Huiting Liu, Lingling Guo, Peipei Li, Peng Zhao, Xindong Wu
2021 J jnl
Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks.
IEEE Trans. Multim.
Lei Sang, Min Xu, Shengsheng Qian, Matt Martin, Peter Li, Xindong Wu
2021 J jnl
Deep Attributed Network Embedding by Preserving Structure and Attribute Information.
IEEE Trans. Syst. Man Cybern. Syst.
Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu
2021 J jnl
Dynamic Community Evolution Analysis Framework for Large-Scale Complex Networks Based on Strong and Weak Events.
IEEE Trans. Syst. Man Cybern. Syst.
Shaojie Qiao, Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Heli Sun, Xindong Wu
2021 J jnl
FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding.
IEEE ACM Trans. Audio Speech Lang. Process.
Yun Zhang, Yongguo Liu, Jiajing Zhu, Xindong Wu
2021 J jnl
Feature Interaction for Streaming Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Peng Zhou, Peipei Li, Shu Zhao, Xindong Wu
2021 J jnl
HANP-Miner: High average utility nonoverlapping sequential pattern mining.
Knowl. Based Syst.
Youxi Wu, Meng Geng, Yan Li, Lei Guo, Zhao Li, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
2021 A conf
HAO Unity: A Graph-based System for Unifying Heterogeneous Data.
CIKM
Fei Jie, Yanxiang Huang, Qiangwei Bai, Xindong Wu
2021 J jnl
HAOP-Miner: Self-adaptive high-average utility one-off sequential pattern mining.
Expert Syst. Appl.
Youxi Wu, Rong Lei, Yan Li, Lei Guo, Xindong Wu
2021 J jnl
Hierarchical features-based targeted aspect extraction from online reviews.
Intell. Data Anal.
Jin He, Lei Li, Yan Wang, Xindong Wu
2021 — conf
High-Quality Noise Detection for Knowledge Graph Embedding with Rule-Based Triple Confidence.
PRICAI (1)
Yan Hong, Chenyang Bu, Xindong Wu
2021 J jnl
Hybrid collaborative recommendation of co-embedded item attributes and graph features.
Neurocomputing
Bingbing Dong, Yi Zhu, Lei Li, Xindong Wu
2021 A* ed.
IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021
ICDM
James Bailey, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu
2021 J jnl
Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network.
Neurocomputing
Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu
2021 J jnl
Knowledge graph enhanced neural collaborative recommendation.
Expert Syst. Appl.
Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu
2021 J jnl
LSBert: Lexical Simplification Based on BERT.
IEEE ACM Trans. Audio Speech Lang. Process.
Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Yang Shi, Xindong Wu
2021 J jnl
Local Graph Edge Partitioning.
ACM Trans. Intell. Syst. Technol.
Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu
2021 J jnl
Multi-Label Truth Inference for Crowdsourcing Using Mixture Models.
IEEE Trans. Knowl. Data Eng.
Jing Zhang, Xindong Wu
2021 J jnl
Multi-label text classification via joint learning from label embedding and label correlation.
Neurocomputing
Huiting Liu, Geng Chen, Pei-Pei Li, Peng Zhao, Xindong Wu
2021 A* conf
Online Learning in Variable Feature Spaces under Incomplete Supervision.
AAAI
Yi He, Xu Yuan, Sheng Chen, Xindong Wu
2021 J jnl
Representation learning with collaborative autoencoder for personalized recommendation.
Expert Syst. Appl.
Yi Zhu, Xindong Wu, Jipeng Qiang, Yunhao Yuan, Yun Li
2021 J jnl
Self-Adaptive Skeleton Approaches to Detect Self-Organized Coalitions From Brain Functional Networks Through Probabilistic Mixture Models.
ACM Trans. Knowl. Discov. Data
Kai Liu, Hongbo Liu, Tomas E. Ward, Hua Wang, Yu Yang, Bo Zhang, Xindong Wu
2021 J jnl
Shared-view and specific-view information extraction for recommendation.
Expert Syst. Appl.
Huiting Liu, Jindou Zhao, Peipei Li, Peng Zhao, Xindong Wu
2021 J jnl
Short-term Load Forecasting by Using Improved GEP and Abnormal Load Recognition.
ACM Trans. Internet Techn.
Song Deng, Fulin Chen, Xia Dong, Guangwei Gao, Xindong Wu
2021 J jnl
Social Group Query Based on Multi-fuzzy-constrained Strong Simulation.
CoRR
Guliu Liu, Lei Li, Guanfeng Liu, Xindong Wu
2021 J jnl
Stacked Convolutional Sparse Auto-Encoders for Representation Learning.
ACM Trans. Knowl. Discov. Data
Yi Zhu, Lei Li, Xindong Wu
2021 J jnl
Suffix array for multi-pattern matching with variable length wildcards.
Intell. Data Anal.
Na Liu, Fei Xie, Xindong Wu
2021 J jnl
Toward Mining Capricious Data Streams: A Generative Approach.
IEEE Trans. Neural Networks Learn. Syst.
Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu
2021 J jnl
Towards Efficient Local Causal Structure Learning.
CoRR
Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
2021 A* conf
Unsupervised Lifelong Learning with Curricula.
WWW
Yi He, Sheng Chen, Baijun Wu, Xu Yuan, Xindong Wu
2021 J jnl
Unsupervised Statistical Text Simplification.
IEEE Trans. Knowl. Data Eng.
Jipeng Qiang, Xindong Wu
2021 J jnl
Using Feature Selection for Local Causal Structure Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhaolong Ling, Kui Yu, Hao Wang, Lei Li, Xindong Wu
2021 J jnl
Which, Who and How: Detecting fraudulent sale accumulation behavior from multi-dimensional sparse data.
Knowl. Based Syst.
Jiaoling Zheng, Shaojie Qiao, Nan Han, Jianbin Huang, Kun Yue, Qiang He, Shengjie Min, Guanghua Ying, Xindong Wu
2020 A* ed.
20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020
ICDM
Claudia Plant, Haixun Wang, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu
2020 — ed.
20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020
ICDM (Workshops)
Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu
2020 J jnl
A Framework for Subgraph Detection in Interdependent Networks via Graph Block-Structured Optimization.
IEEE Access
Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu
2020 A* conf
A Speech-to-Knowledge-Graph Construction System.
IJCAI
Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu
2020 J jnl
A Survey on Large-scale Machine Learning.
CoRR
Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, Xindong Wu
2020 J jnl
A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks.
Inf. Sci.
Jiajing Zhu, Yongguo Liu, Hao Wu, Zhi Chen, Yun Zhang, Shangming Yang, Changhong Yang, Wen Yang, Xindong Wu
2020 A* conf
Active Learning with Multi-Granular Graph Auto-Encoder.
ICDM
Yi He, Xu Yuan, Nian-Feng Tzeng, Xindong Wu
2020 — conf
An Event-Centric Prediction System for COVID-19.
ICKG
Xiaoyi Fu, Xu Jiang, Yunfei Qi, Meng Xu, Yuhang Song, Jie Zhang, Xindong Wu
2020 — conf
Balanced Tree Partitioning with Succinct Logic.
ICKG
Xindong Wu, Shaojing Sheng, Peng Zhou
2020 J jnl
Chinese Lexical Simplification.
CoRR
Jipeng Qiang, Xinyu Lu, Yun Li, Yunhao Yuan, Yang Shi, Xindong Wu
2020 J jnl
Collaborative deep recommendation with global and local item correlations.
Neurocomputing
Huiting Liu, Huimin Liu, Qiang Ji, Peng Zhao, Xindong Wu
2020 A conf
Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs.
SDM
Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu
2020 J jnl
GLLPA: A Graph Layout based Label Propagation Algorithm for community detection.
Knowl. Based Syst.
Yun Zhang, Yongguo Liu, Rongjiang Jin, Jing Tao, Lidian Chen, Xindong Wu
2020 J jnl
Hybrid Collaborative Recommendation via Dual-Autoencoder.
IEEE Access
Bingbing Dong, Yi Zhu, Lei Li, Xindong Wu
2020 — conf
Knowledge Graph for China's Genealogy.
ICKG
Xindong Wu, Tingting Jiang, Yi Zhu, Chenyang Bu
2020 J jnl
LSBert: A Simple Framework for Lexical Simplification.
CoRR
Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu
2020 A* conf
Learning Interpretable Representations with Informative Entanglements.
IJCAI
Ege Beyazit, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu
2020 A* conf
Lexical Simplification with Pretrained Encoders.
AAAI
Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu
2020 J jnl
Multi-fuzzy-constrained graph pattern matching with big graph data.
Intell. Data Anal.
Guliu Liu, Lei Li, Xindong Wu
2020 J jnl
NetDAP: (δ, γ) -approximate pattern matching with length constraints.
Appl. Intell.
Youxi Wu, Jinquan Fan, Yan Li, Lei Guo, Xindong Wu
2020 J jnl
NetNCSP: Nonoverlapping closed sequential pattern mining.
Knowl. Based Syst.
Youxi Wu, Changrui Zhu, Yan Li, Lei Guo, Xindong Wu
2020 J jnl
NetNPG: Nonoverlapping pattern matching with general gap constraints.
Appl. Intell.
Qiaoshuo Shi, Jinsong Shan, Wenjie Yan, Youxi Wu, Xindong Wu
2020 J jnl
Numerical sensitive data recognition based on hybrid gene expression programming for active distribution networks.
Appl. Soft Comput.
Song Deng, Xiangpeng Xie, Chang-An Yuan, Lechan Yang, Xindong Wu
2020 A conf
On Partial Multi-Task Learning.
ECAI
Yi He, Baijun Wu, Di Wu, Xindong Wu
2020 A conf
Online Learning to Accelerate Neural Network Inference with Traveling Classifiers.
ECAI
Ege Beyazit, Yi He, Nian-Feng Tzeng, Xindong Wu
2020 J jnl
REMIAN: Real-Time and Error-Tolerant Missing Value Imputation.
ACM Trans. Knowl. Discov. Data
Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu, Hongbo Liu, Xindong Wu
2020 Misc conf
Scale invariant learning from trapezoidal data streams.
SAC
Jeevithan Alagurajah, Xu Yuan, Xindong Wu
2020 J jnl
Targeted aspects oriented topic modeling for short texts.
Appl. Intell.
Jin He, Lei Li, Yan Wang, Xindong Wu
2020 J jnl
Time series indexing by dynamic covering with cross-range constraints.
VLDB J.
Tao Sun, Hongbo Liu, Seán F. McLoone, Shaoxiong Ji, Xindong Wu
2020 J jnl
Towards efficient and effective discovery of Markov blankets for feature selection.
Inf. Sci.
Hao Wang, Zhaolong Ling, Kui Yu, Xindong Wu
2020 J jnl
Trustworthy Preference Completion in Social Choice.
CoRR
Lei Li, Minghe Xue, Huanhuan Chen, Xindong Wu
2020 J jnl
Weighted partial order oriented three-way decisions under score-based common voting rules.
Int. J. Approx. Reason.
Lei Li, Xindong Wu, Huanhuan Chen, Chuan Zhou, Guanfeng Liu, Yongkang Jiang
2019 — ed.
2019 IEEE International Conference on Big Knowledge, ICBK 2019, Beijing, China, November 10-11, 2019
ICBK
Yunjun Gao, Ralf Möller, Xindong Wu, Ramamohanarao Kotagiri
2019 A* ed.
2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019
ICDM
Jianyong Wang, Kyuseok Shim, Xindong Wu
2019 — conf
A Data-Aware Latent Factor Model for Web Service QoS Prediction.
PAKDD (1)
Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu
2019 J jnl
A Simple BERT-Based Approach for Lexical Simplification.
CoRR
Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu
2019 J jnl
A Study on Big Knowledge and Its Engineering Issues.
IEEE Trans. Knowl. Data Eng.
Ruqian Lu, Xiaolong Jin, Songmao Zhang, Meikang Qiu, Xindong Wu
2019 J jnl
A practical algorithm for solving the sparseness problem of short text clustering.
Intell. Data Anal.
Jipeng Qiang, Yun Li, Yunhao Yuan, Wei Liu, Xindong Wu
2019 — conf
AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding.
PAKDD (3)
Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu
2019 A* conf
Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest.
ICDM
Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang
2019 J jnl
BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.
ACM Trans. Intell. Syst. Technol.
Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Wei Ding, Xindong Wu
2019 A* conf
Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks.
ICDM
Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu
2019 — conf
CEPV: A Tree Structure Information Extraction and Visualization Tool for Big Knowledge Graph.
ICBK
Shaojing Sheng, Peng Zhou, Xindong Wu
2019 J jnl
Causality-based Feature Selection: Methods and Evaluations.
CoRR
Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu
2019 J jnl
Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks.
ACM Trans. Knowl. Discov. Data
Huan Wang, Jia Wu, Wenbin Hu, Xindong Wu
2019 J jnl
Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations.
IEEE Access
Huiting Liu, Lili Wang, Peng Zhao, Xindong Wu
2019 J jnl
Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization.
ACM Trans. Knowl. Discov. Data
Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu
2019 A conf
Local Graph Edge Partitioning with a Two-Stage Heuristic Method.
ICDCS
Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu
2019 J jnl
Majority Voting and Pairing with Multiple Noisy Labeling.
IEEE Trans. Knowl. Data Eng.
Victor S. Sheng, Jing Zhang, Bin Gu, Xindong Wu
2019 J jnl
Multi-Objective Optimization-Based Networked Multi-Label Active Learning.
J. Database Manag.
Lei Li, Yuqi Chu, Guanfeng Liu, Xindong Wu
2019 J jnl
Multi-modal multi-view Bayesian semantic embedding for community question answering.
Neurocomputing
Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu
2019 J jnl
OFS-Density: A novel online streaming feature selection method.
Pattern Recognit.
Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
2019 J jnl
Object Detection With Deep Learning: A Review.
IEEE Trans. Neural Networks Learn. Syst.
Zhong-Qiu Zhao, Peng Zheng, Shou-tao Xu, Xindong Wu
2019 J jnl
On big wisdom.
Knowl. Inf. Syst.
Minghui Wu, Xindong Wu
2019 J jnl
Online Feature Selection for Streaming Features Using Self-Adaption Sliding-Window Sampling.
IEEE Access
Dianlong You, Xindong Wu, Limin Shen, Song Deng, Zhen Chen, Chuan Ma, Qiusheng Lian
2019 — conf
Online Feature Selection with Capricious Streaming Features: A General Framework.
IEEE BigData
Di Wu, Yi He, Xin Luo, Mingsheng Shang, Xindong Wu
2019 A* conf
Online Learning from Capricious Data Streams: A Generative Approach.
IJCAI
Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen, Xindong Wu
2019 A* conf
Online Learning from Data Streams with Varying Feature Spaces.
AAAI
Ege Beyazit, Jeevithan Alagurajah, Xindong Wu
2019 J jnl
Online streaming feature selection using adapted Neighborhood Rough Set.
Inf. Sci.
Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
2019 J jnl
Recommending New Features from Mobile App Descriptions.
ACM Trans. Softw. Eng. Methodol.
He Jiang, Jingxuan Zhang, Xiaochen Li, Zhilei Ren, David Lo, Xindong Wu, Zhongxuan Luo
2019 J jnl
SEEN: A Selective Encryption Method to Ensure Confidentiality for Big Sensing Data Streams.
IEEE Trans. Big Data
Deepak Puthal, Xindong Wu, Surya Nepal, Rajiv Ranjan, Jinjun Chen
2019 J jnl
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey.
CoRR
Jipeng Qiang, Zhenyu Qian, Yun Li, Yunhao Yuan, Xindong Wu
2019 J jnl
Transfer learning with deep manifold regularized auto-encoders.
Neurocomputing
Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu
2019 — conf
Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment.
PRICAI (1)
Tingting Jiang, Chenyang Bu, Yi Zhu, Xindong Wu
2018 — ed.
2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018
ICBK
Xindong Wu, Yew-Soon Ong, Charu C. Aggarwal, Huanhuan Chen
2018 J jnl
A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization.
IEEE Trans. Knowl. Data Eng.
Shaojie Qiao, Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Jun Guo, Louis Alberto Gutierrez, Xindong Wu
2018 J jnl
A Novel Variable Precision Reduction Approach to Comprehensive Knowledge Systems.
IEEE Trans. Cybern.
Chao Yang, Hongbo Liu, Seán F. McLoone, C. L. Philip Chen, Xindong Wu
2018 J jnl
A framework for semantic connection based topic evolution with DeepWalk.
Intell. Data Anal.
Jiamiao Wang, Xindong Wu, Lei Li
2018 J jnl
A set-level joint sparse representation for image set classification.
Inf. Sci.
Peng Zheng, Zhong-Qiu Zhao, Jun Gao, Xindong Wu
2018 J jnl
A survey on online feature selection with streaming features.
Frontiers Comput. Sci.
Xuegang Hu, Peng Zhou, Pei-Pei Li, Jing Wang, Xindong Wu
2018 J jnl
AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding.
CoRR
Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu
2018 A* conf
ASTM: An Attentional Segmentation Based Topic Model for Short Texts.
ICDM
Jiamiao Wang, Ling Chen, Lu Qin, Xindong Wu
2018 J jnl
Co-occurrence pattern mining based on a biological approximation scoring matrix.
Pattern Anal. Appl.
Dan Guo, Ermao Yuan, Xuegang Hu, Xindong Wu
2018 J jnl
Collaborative social deep learning for celebrity recommendation.
Intell. Data Anal.
Huiting Liu, Liangquan Yang, Chao Ling, Xindong Wu
2018 J jnl
Collective semantic behavior extraction in social networks.
J. Comput. Sci.
Lei Li, Chuan Zhou, Jianping He, Jiamiao Wang, Xin Li, Xindong Wu
2018 J jnl
Document-specific keyphrase candidate search and ranking.
Expert Syst. Appl.
Qingren Wang, Victor S. Sheng, Xindong Wu
2018 J jnl
Editorial: TKDD Special Issue on Interactive Data Exploration and Analytics.
ACM Trans. Knowl. Discov. Data
Xindong Wu, Charu C. Aggarwal
2018 J jnl
Efficient pattern matching with periodical wildcards in uncertain sequences.
Intell. Data Anal.
Huiting Liu, Lili Wang, Zhizhong Liu, Peng Zhao, Xindong Wu
2018 J jnl
Employing Semantic Context for Sparse Information Extraction Assessment.
ACM Trans. Knowl. Discov. Data
Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu
2018 A* conf
Feature-Induced Partial Multi-label Learning.
ICDM
Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu
2018 J jnl
Improving Crowdsourced Label Quality Using Noise Correction.
IEEE Trans. Neural Networks Learn. Syst.
Jing Zhang, Victor S. Sheng, Tao Li, Xindong Wu
2018 J jnl
Joint Feature Selection and Classification for Multilabel Learning.
IEEE Trans. Cybern.
Jun Huang, Guorong Li, Qingming Huang, Xindong Wu
2018 — conf
Knowledge Graph for Public Security Analytics.
KDIR
Xindong Wu
2018 J jnl
Learning From Short Text Streams With Topic Drifts.
IEEE Trans. Cybern.
Pei-Pei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu
2018 — conf
Learning Simplified Decision Boundaries from Trapezoidal Data Streams.
ICANN (1)
Ege Beyazit, Matin Hosseini, Anthony Maida, Xindong Wu
2018 J jnl
Multi-Instance Learning with Discriminative Bag Mapping.
IEEE Trans. Knowl. Data Eng.
Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu
2018 A* conf
Multi-Label Inference for Crowdsourcing.
KDD
Jing Zhang, Xindong Wu
2018 J jnl
Multi-pattern matching with variable-length wildcards using suffix tree.
Pattern Anal. Appl.
Na Liu, Fei Xie, Xindong Wu
2018 J jnl
NETASPNO: Approximate Strict Pattern Matching Under Nonoverlapping Condition.
IEEE Access
Youxi Wu, Shasha Li, Jingyu Liu, Lei Guo, Xindong Wu
2018 J jnl
NOSEP: Nonoverlapping Sequence Pattern Mining With Gap Constraints.
IEEE Trans. Cybern.
Youxi Wu, Yao Tong, Xingquan Zhu, Xindong Wu
2018 J jnl
Object Detection with Deep Learning: A Review.
CoRR
Zhong-Qiu Zhao, Peng Zheng, Shou-tao Xu, Xindong Wu
2018 A* conf
On Big Wisdom.
ICDM
Minghui Wu, Xindong Wu
2018 — conf
Online Feature Selection for Streaming Features with High Redundancy Using Sliding-Window Sampling.
ICBK
Dianlong You, Xindong Wu, Limin Shen, Zhen Chen, Chuan Ma, Song Deng
2018 J jnl
Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique.
IEEE Trans. Intell. Transp. Syst.
Shaojie Qiao, Nan Han, Junfeng Wang, Rong-Hua Li, Louis Alberto Gutierrez, Xindong Wu
2018 J jnl
STTM: A Tool for Short Text Topic Modeling.
CoRR
Jipeng Qiang, Yun Li, Yunhao Yuan, Wei Liu, Xindong Wu
2018 A* conf
Scalable Active Learning by Approximated Error Reduction.
KDD
Weijie Fu, Meng Wang, Shijie Hao, Xindong Wu
2018 J jnl
Short text clustering based on Pitman-Yor process mixture model.
Appl. Intell.
Jipeng Qiang, Yun Li, Yunhao Yuan, Xindong Wu
2018 — conf
Stochastic Optimization for Market Return Prediction Using Financial Knowledge Graph.
ICBK
Xiaoyi Fu, Xinqi Ren, Ole J. Mengshoel, Xindong Wu
2018 B conf
Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification.
ICTAI
Yi He, Di Wu, Ege Beyazit, Xiaoduan Sun, Xindong Wu
2018 J jnl
Welcoming two new Co-Editors-in-Chief for KAIS.
Knowl. Inf. Syst.
Xindong Wu
2017 — ed.
2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017
ICDM Workshops
Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu
2017 A* ed.
2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017
ICDM
Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu
2017 A* conf
A Self-Adaptive Sliding Window Based Topic Model for Non-uniform Texts.
ICDM
Jin He, Lei Li, Xindong Wu
2017 J jnl
Big Search in Cyberspace.
IEEE Trans. Knowl. Data Eng.
Binxing Fang, Yan Jia, Xiaoyong Li, Aiping Li, Xindong Wu
2017 J jnl
Consensus algorithms for biased labeling in crowdsourcing.
Inf. Sci.
Jing Zhang, Victor S. Sheng, Qianmu Li, Jian Wu, Xindong Wu
2017 J jnl
Efficient sequential pattern mining with wildcards for keyphrase extraction.
Knowl. Based Syst.
Fei Xie, Xindong Wu, Xingquan Zhu
2017 J jnl
Image set classification based on cooperative sparse representation.
Pattern Recognit.
Peng Zheng, Zhong-Qiu Zhao, Jun Gao, Xindong Wu
2017 J jnl
Incremental Subgraph Feature Selection for Graph Classification.
IEEE Trans. Knowl. Data Eng.
Haishuai Wang, Peng Zhang, Xingquan Zhu, Ivor Wai-Hung Tsang, Ling Chen, Chengqi Zhang, Xindong Wu
2017 A* conf
Keyphrase Extraction with Sequential Pattern Mining.
AAAI
Qingren Wang, Victor S. Sheng, Xindong Wu
2017 J jnl
Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project.
IEEE Access
Xindong Wu, Huanhuan Chen, Jun Liu, Gong-Qing Wu, Ruqian Lu, Nanning Zheng
2017 J jnl
LDA-Based Topic Strength Analysis.
Comput. Informatics
Jiamiao Wang, Lei Li, Xindong Wu
2017 J jnl
Learning on Big Graph: Label Inference and Regularization with Anchor Hierarchy.
IEEE Trans. Knowl. Data Eng.
Meng Wang, Weijie Fu, Shijie Hao, Hengchang Liu, Xindong Wu
2017 J jnl
Markov Blanket Feature Selection Using Representative Sets.
IEEE Trans. Neural Networks Learn. Syst.
Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang
2017 J jnl
On Deep Learning for Trust-Aware Recommendations in Social Networks.
IEEE Trans. Neural Networks Learn. Syst.
Shuiguang Deng, Longtao Huang, Guandong Xu, Xindong Wu, Zhaohui Wu
2017 J jnl
Online feature selection for high-dimensional class-imbalanced data.
Knowl. Based Syst.
Peng Zhou, Xuegang Hu, Pei-Pei Li, Xindong Wu
2017 J jnl
Positive and Unlabeled Multi-Graph Learning.
IEEE Trans. Cybern.
Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu
2017 J jnl
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Chunhua Ju, Xindong Wu
2017 J jnl
SALE: Self-adaptive LSH encoding for multi-instance learning.
Pattern Recognit.
Dongkuan Xu, Jia Wu, Dewei Li, Yingjie Tian, Xingquan Zhu, Xindong Wu
2017 J jnl
Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information.
IEEE Trans. Fuzzy Syst.
Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li, Xindong Wu
2017 J jnl
Strict pattern matching under non-overlapping condition.
Sci. China Inf. Sci.
Youxi Wu, Cong Shen, He Jiang, Xindong Wu
2017 J jnl
Three-layer concept drifting detection in text data streams.
Neurocomputing
Yuhong Zhang, Guang Chu, Pei-Pei Li, Xuegang Hu, Xindong Wu
2017 — conf
Topic Modeling over Short Texts by Incorporating Word Embeddings.
PAKDD (2)
Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu
2017 J jnl
Towards Effective Bug Triage with Towards Effective Bug Triage with Software Data Reduction Techniques.
CoRR
Jifeng Xuan, He Jiang, Yan Hu, Zhilei Ren, Weiqin Zou, Zhongxuan Luo, Xindong Wu
2017 J jnl
User Vitality Ranking and Prediction in Social Networking Services: A Dynamic Network Perspective.
IEEE Trans. Knowl. Data Eng.
Richang Hong, Chuan He, Yong Ge, Meng Wang, Xindong Wu
2016 — conf
A Real-Time Head Pose Estimation Using Adaptive POSIT Based on Modified Supervised Descent Method.
ICIC (1)
Zhong-Qiu Zhao, Kewen Cheng, Qinmu Peng, Xindong Wu
2016 J jnl
Approximate pattern matching with gap constraints.
J. Inf. Sci.
Youxi Wu, ZhiQiang Tang, He Jiang, Xindong Wu
2016 J jnl
Camera Fingerprint: A New Perspective for Identifying User's Identity.
CoRR
Xiang Jiang, Shikui Wei, Ruizhen Zhao, Yao Zhao, Xindong Wu
2016 A* conf
Concept Based Short Text Stream Classification with Topic Drifting Detection.
ICDM
Pei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu
2016 J jnl
Corrupted and occluded face recognition via cooperative sparse representation.
Pattern Recognit.
Zhong-Qiu Zhao, Yiu-ming Cheung, Haibo Hu, Xindong Wu
2016 J jnl
Discovering the k Representative Skyline Over a Sliding Window.
IEEE Trans. Knowl. Data Eng.
Mei Bai, Junchang Xin, Guoren Wang, Luming Zhang, Roger Zimmermann, Ye Yuan, Xindong Wu
2016 A* ed.
IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain
ICDM
Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu
2016 — ed.
IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain.
ICDM Workshops
Carlotta Domeniconi, Francesco Gullo, Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu
2016 J jnl
LOFS: A library of online streaming feature selection.
Knowl. Based Syst.
Kui Yu, Wei Ding, Xindong Wu
2016 J jnl
LOFS: Library of Online Streaming Feature Selection.
CoRR
Kui Yu, Wei Ding, Xindong Wu
2016 J jnl
Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification.
IEEE Trans. Knowl. Data Eng.
Jun Huang, Guorong Li, Qingming Huang, Xindong Wu
2016 J jnl
Learning from crowdsourced labeled data: a survey.
Artif. Intell. Rev.
Jing Zhang, Xindong Wu, Victor S. Sheng
2016 — conf
Link Prediction-Based Multi-label Classification on Networked Data.
DSC
Yinfeng Zhao, Lei Li, Xindong Wu
2016 J jnl
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering.
IEEE Trans. Knowl. Data Eng.
Jing Zhang, Victor S. Sheng, Jian Wu, Xindong Wu
2016 J jnl
Multi-document summarization using closed patterns.
Knowl. Based Syst.
Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu
2016 J jnl
Multi-label feature selection with streaming labels.
Inf. Sci.
Yaojin Lin, Qinghua Hu, Jia Zhang, Xindong Wu
2016 J jnl
Neighbor selection for multilabel classification.
Neurocomputing
Huawen Liu, Xindong Wu, Shichao Zhang
2016 J jnl
On digital image trustworthiness.
Appl. Soft Comput.
Donghui Hu, Xiaotian Zhang, Yuqi Fan, Zhong-Qiu Zhao, Lina Wang, Xintao Wu, Xindong Wu
2016 J jnl
On the Feasibility of Distributed Kernel Regression for Big Data.
IEEE Trans. Knowl. Data Eng.
Chen Xu, Yongquan Zhang, Runze Li, Xindong Wu
2016 J jnl
Online Feature Selection with Group Structure Analysis.
CoRR
Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhongqiu Zhao, Xuegang Hu, Xindong Wu
2016 J jnl
Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng.
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2016 J jnl
Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure.
IEEE Trans. Big Data
Ming Shao, Xindong Wu, Yun Fu
2016 J jnl
Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization.
IEEE Trans. Knowl. Data Eng.
Meng Wang, Weijie Fu, Shijie Hao, Dacheng Tao, Xindong Wu
2016 J jnl
Scalable and Accurate Online Feature Selection for Big Data.
ACM Trans. Knowl. Discov. Data
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
2016 — conf
Single Image Super Resolution with Neighbor Embedding and In-place Patch Matching.
ICIC (2)
Zhong-Qiu Zhao, Zhen-Wei Hao, Run Su, Xindong Wu
2016 J jnl
Spatiochromatic Context Modeling for Color Saliency Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Jun Zhang, Meng Wang, Shengping Zhang, Xuelong Li, Xindong Wu
2016 B conf
Topic Discovery from Heterogeneous Texts.
ICTAI
Jipeng Qiang, Ping Chen, Wei Ding, Tong Wang, Fei Xie, Xindong Wu
2016 J jnl
Topic Modeling over Short Texts by Incorporating Word Embeddings.
CoRR
Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu
2016 J jnl
Trust Agent-Based Behavior Induction in Social Networks.
IEEE Intell. Syst.
Lei Li, Jianping He, Meng Wang, Xindong Wu
2016 — conf
WEFEST: Word Embedding Feature Extension for Short Text Classification.
ICDM Workshops
Lei Sang, Fei Xie, Xiaojian Liu, Xindong Wu
2016 J jnl
Web News Extraction via Tag Path Feature Fusion Using DS Theory.
J. Comput. Sci. Technol.
Gong-Qing Wu, Lei Li, Li Li, Xindong Wu
2016 J jnl
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
Hao Wang, Haiping Wang, Xindong Wu
2015 A* ed.
2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015
ICDM
Charu C. Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, Xindong Wu
2015 J jnl
A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity.
IEEE Trans. Knowl. Data Eng.
Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu
2015 J jnl
Active Learning With Imbalanced Multiple Noisy Labeling.
IEEE Trans. Cybern.
Jing Zhang, Xindong Wu, Victor S. Sheng
2015 J jnl
Active Learning through Adaptive Heterogeneous Ensembling.
IEEE Trans. Knowl. Data Eng.
Zhenyu Lu, Xindong Wu, Josh C. Bongard
2015 J jnl
An Incremental Decision Tree for Mining Multilabel Data.
Appl. Artif. Intell.
Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
2015 J jnl
ApLeaf: An efficient android-based plant leaf identification system.
Neurocomputing
Zhong-Qiu Zhao, Lin-Hai Ma, Yiu-ming Cheung, Xindong Wu, Yuan Yan Tang, Chun-Lung Philip Chen
2015 J jnl
Automatic determination about precision parameter value based on inclusion degree with variable precision rough set model.
Inf. Sci.
Yusheng Cheng, Wenfa Zhan, Xindong Wu, Yuzhou Zhang
2015 J jnl
CEKA: a tool for mining the wisdom of crowds.
J. Mach. Learn. Res.
Jing Zhang, Victor S. Sheng, Bryce Nicholson, Xindong Wu
2015 J jnl
Classification with Streaming Features: An Emerging-Pattern Mining Approach.
ACM Trans. Knowl. Discov. Data
Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu
2015 — conf
Community Influence Analysis Based on Social Network Structures.
SmartCity
Yi Li, Xindong Wu, Lei Li
2015 J jnl
Cross-domain sentiment classification-feature divergence, polarity divergence or both?
Pattern Recognit. Lett.
Yuhong Zhang, Xuegang Hu, Pei-Pei Li, Lei Li, Xindong Wu
2015 J jnl
Expanding dictionary for robust face recognition: pixel is not necessary while sparsity is.
IET Comput. Vis.
Zhong-Qiu Zhao, Yiu-ming Cheung, Haibo Hu, Xindong Wu
2015 J jnl
Graph-Based Learning via Auto-Grouped Sparse Regularization and Kernelized Extension.
IEEE Trans. Knowl. Data Eng.
Yuqiang Fang, Ruili Wang, Bin Dai, Xindong Wu
2015 J jnl
Imbalanced Multiple Noisy Labeling.
IEEE Trans. Knowl. Data Eng.
Jing Zhang, Xindong Wu, Victor S. Sheng
2015 A conf
Improving Label Quality in Crowdsourcing Using Noise Correction.
CIKM
Jing Zhang, Victor S. Sheng, Jian Wu, Xiaoqin Fu, Xindong Wu
2015 J jnl
Knowledge Engineering with Big Data.
IEEE Intell. Syst.
Xindong Wu, Huanhuan Chen, Gong-Qing Wu, Jun Liu, Qinghua Zheng, Xiaofeng He, Aoying Zhou, Zhong-Qiu Zhao, Bifan Wei, Yang Li, Qiping Zhang, Shichao Zhang
2015 A* conf
Learning Label Specific Features for Multi-label Classification.
ICDM
Jun Huang, Guorong Li, Qingming Huang, Xindong Wu
2015 J jnl
Learning concept-drifting data streams with random ensemble decision trees.
Neurocomputing
Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang
2015 J jnl
Online Feature Selection with Group Structure Analysis.
IEEE Trans. Knowl. Data Eng.
Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu, Zhong-Qiu Zhao, Xuegang Hu, Xindong Wu
2015 J jnl
Pattern matching with wildcards and length constraints using maximum network flow.
J. Discrete Algorithms
Abdullah N. Arslan, Dan He, Yu He, Xindong Wu
2015 J jnl
Penalized partial least square discriminant analysis with l
Pattern Recognit.
Huawen Liu, Zongjie Ma, Shichao Zhang, Xindong Wu
2015 B conf
Plant identification using triangular representation based on salient points and margin points.
ICIP
Zhong-Qiu Zhao, Yan Hong, Peng Zheng, Xindong Wu
2015 — conf
Prediction of rice brown planthoppers based on system dynamics.
FSKD
Qingren Wang, Youhua Zhang, Fei Xie, Xindong Wu
2015 A* conf
Saliency Detection with a Deeper Investigation of Light Field.
IJCAI
Jun Zhang, Meng Wang, Jun Gao, Yi Wang, Xudong Zhang, Xindong Wu
2015 J jnl
Scalable and Accurate Online Feature Selection for Big Data.
CoRR
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
2015 J jnl
Security and privacy protocols for perceptual image hashing.
Int. J. Sens. Networks
Donghui Hu, Bin Su, Shuli Zheng, Zhong-Qiu Zhao, Xintao Wu, Xindong Wu
2015 J jnl
Strict approximate pattern matching with general gaps.
Appl. Intell.
Youxi Wu, Shuai Fu, He Jiang, Xindong Wu
2015 A* conf
Tornado Forecasting with Multiple Markov Boundaries.
KDD
Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu
2015 J jnl
Towards Effective Bug Triage with Software Data Reduction Techniques.
IEEE Trans. Knowl. Data Eng.
Jifeng Xuan, He Jiang, Yan Hu, Zhilei Ren, Weiqin Zou, Zhongxuan Luo, Xindong Wu
2015 A* conf
Towards Mining Trapezoidal Data Streams.
ICDM
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2015 J jnl
Twitter K-H networks in action: Advancing biomedical literature for drug search.
J. Biomed. Informatics
Ahmed Abdeen Hamed, Xindong Wu, Robert Erickson, Tamer Fandy
2015 J jnl
Visual Classification by ℓ
IEEE Trans. Knowl. Data Eng.
Meng Wang, Xueliang Liu, Xindong Wu
2014 — ed.
2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014
ICDM Workshops
Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu
2014 A* ed.
2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014
ICDM
Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu
2014 B ed.
2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014
ASONAM
Xindong Wu, Martin Ester, Guandong Xu
2014 J jnl
3-D Object Retrieval With Hausdorff Distance Learning.
IEEE Trans. Ind. Electron.
Yue Gao, Meng Wang, Rongrong Ji, Xindong Wu, Qionghai Dai
2014 J jnl
A Matching Algorithm in PMWL based on CluTree.
New Gener. Comput.
Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao
2014 J jnl
A New Supervised Feature Selection Method for Pattern Classification.
Comput. Intell.
Huawen Liu, Xindong Wu, Shichao Zhang
2014 J jnl
A twitter recruitment intelligent system: association rule mining for smoking cessation.
Soc. Netw. Anal. Min.
Ahmed Abdeen Hamed, Xindong Wu, Alan Rubin
2014 J jnl
Authorship identification from unstructured texts.
Knowl. Based Syst.
Chunxia Zhang, Xindong Wu, Zhendong Niu, Wei Ding
2014 J jnl
Clustering web documents using hierarchical representation with multi-granularity.
World Wide Web
Faliang Huang, Shichao Zhang, Minghua He, Xindong Wu
2014 J jnl
Data Mining with Big Data.
IEEE Trans. Knowl. Data Eng.
Xindong Wu, Xingquan Zhu, Gong-Qing Wu, Wei Ding
2014 A* conf
Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards.
ICDM
Fei Xie, Xindong Wu, Xingquan Zhu
2014 — conf
Does Social Media Big Data Make the World Smaller? An Exploratory Analysis of Keyword-Hashtag Networks.
BigData Congress
Ahmed Abdeen Hamed, Xindong Wu
2014 J jnl
Editor's note.
Sci. China Inf. Sci.
Huansheng Ning, Jianhua Ma, Laurence T. Yang, Weifeng Lü, Xindong Wu, Victor C. M. Leung, Vincenzo Piuri
2014 J jnl
Ensemble learning from multiple information sources via label propagation and consensus.
Appl. Intell.
Yaojin Lin, Xuegang Hu, Xindong Wu
2014 J jnl
How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?
IEEE Trans. Circuits Syst. Video Technol.
Jie Gui, Zhenan Sun, Jun Cheng, Shuiwang Ji, Xindong Wu
2014 J jnl
Image Annotation by Multiple-Instance Learning With Discriminative Feature Mapping and Selection.
IEEE Trans. Cybern.
Richang Hong, Meng Wang, Yue Gao, Dacheng Tao, Xuelong Li, Xindong Wu
2014 J jnl
Image quality assessment based on matching pursuit.
Inf. Sci.
Richang Hong, Jianxin Pan, Shijie Hao, Meng Wang, Feng Xue, Xindong Wu
2014 J jnl
Knowledge reduction for decision tables with attribute value taxonomies.
Knowl. Based Syst.
Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu
2014 J jnl
MLSLR: Multilabel Learning via Sparse Logistic Regression.
Inf. Sci.
Huawen Liu, Shichao Zhang, Xindong Wu
2014 J jnl
Mining Semantically Consistent Patterns for Cross-View Data.
IEEE Trans. Knowl. Data Eng.
Lei Zhang, Yao Zhao, Zhenfeng Zhu, Shikui Wei, Xindong Wu
2014 C conf
Mining patterns in Big Data K-H networks.
AICCSA
Ahmed Abdeen Hamed, Xindong Wu, Tamer Fandy
2014 J jnl
Mining sequential patterns with periodic wildcard gaps.
Appl. Intell.
Youxi Wu, Lingling Wang, Jiadong Ren, Wei Ding, Xindong Wu
2014 J jnl
Misleading classification.
Sci. China Inf. Sci.
He Jiang, Jifeng Xuan, Zhilei Ren, Youxi Wu, Xindong Wu
2014 Misc conf
Online learning with mobile sensor data for user recognition.
SAC
Hai-Guang Li, Xindong Wu, Zhao Li
2014 J jnl
Optimizing widths with PSO for center selection of Gaussian radial basis function networks.
Sci. China Inf. Sci.
Zhong-Qiu Zhao, Xindong Wu, Canyi Lu, Hervé Glotin, Jun Gao
2014 J jnl
Pattern Matching with Flexible Wildcards.
J. Comput. Sci. Technol.
Xindong Wu, Jipeng Qiang, Fei Xie
2014 — conf
Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample Learning.
ACCV (2)
Zhong-Qiu Zhao, Bao-Jian Xie, Yiu-ming Cheung, Xindong Wu
2014 J jnl
Quality of information-based source assessment and selection.
Neurocomputing
Yaojin Lin, Xuegang Hu, Xindong Wu
2014 Misc conf
Single multiplicatively updated matrix factorization for co-clustering.
SAC
Zhao Li, Xindong Wu
2014 A* conf
Towards Scalable and Accurate Online Feature Selection for Big Data.
ICDM
Kui Yu, Xindong Wu, Wei Ding, Jian Pei
2013 — ed.
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013
ICDM Workshops
Wei Ding, Takashi Washio, Hui Xiong, George Karypis, Bhavani Thuraisingham, Diane J. Cook, Xindong Wu
2013 A* ed.
2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013
ICDM
Hui Xiong, George Karypis, Bhavani Thuraisingham, Diane J. Cook, Xindong Wu
2013 B conf
A Twitter-based smoking cessation recruitment system.
ASONAM
Ahmed Abdeen Hamed, Xindong Wu, James R. Fingar
2013 J jnl
A real-time transportation prediction system.
Appl. Intell.
Hai-Guang Li, Zhao Li, Robert T. White, Xindong Wu
2013 J jnl
A relation extraction method of Chinese named entities based on location and semantic features.
Appl. Intell.
Hai-Guang Li, Xindong Wu, Zhao Li, Gong-Qing Wu
2013 B conf
A threshold method for imbalanced multiple noisy labeling.
ASONAM
Jing Zhang, Xindong Wu, Victor S. Sheng
2013 J jnl
Anonymizing classification data using rough set theory.
Knowl. Based Syst.
Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu
2013 A conf
Assessing sparse information extraction using semantic contexts.
CIKM
Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu
2013 J jnl
Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Kui Yu, Wei Ding, Hao Wang, Xindong Wu
2013 A conf
Computing term similarity by large probabilistic isA knowledge.
CIKM
Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xindong Wu
2013 J jnl
Extracting elite pairwise constraints for clustering.
Neurocomputing
He Jiang, Zhilei Ren, Jifeng Xuan, Xindong Wu
2013 A conf
Feature Selection by Joint Graph Sparse Coding.
SDM
Wei Ding, Xindong Wu, Shichao Zhang, Xiaofeng Zhu
2013 B conf
Flexible Pattern Matching with Gap-Length and One-Off Conditions.
ICTAI
Dan Guo, Taining Xiang, Xuegang Hu, Xindong Wu
2013 A* conf
Group Feature Selection with Streaming Features.
ICDM
Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding
2013 A* conf
Imbalanced Multiple Noisy Labeling for Supervised Learning.
AAAI
Jing Zhang, Xindong Wu, Victor Shengli Sheng
2013 — ed.
International Conference on Internet Multimedia Computing and Service, ICIMCS '13, Huangshan, China - August 17 - 19, 2013
ICIMCS
Ke Lu, Tao Mei, Xindong Wu
2013 J jnl
MAIL: mining sequential patterns with wildcards.
Int. J. Data Min. Bioinform.
Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua
2013 A* conf
Markov Blanket Feature Selection with Non-faithful Data Distributions.
ICDM
Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding
2013 J jnl
Mining stable patterns in multiple correlated databases.
Decis. Support Syst.
Yaojin Lin, Xuegang Hu, Xiaomei Li, Xindong Wu
2013 — conf
Multi-View Visual Classification via a Mixed-Norm Regularizer.
PAKDD (1)
Xiaofeng Zhu, Zi Huang, Xindong Wu
2013 J jnl
Multi-level rough set reduction for decision rule mining.
Appl. Intell.
Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu
2013 J jnl
Multimedia encyclopedia construction by mining web knowledge.
Signal Process.
Richang Hong, Zheng-Jun Zha, Yue Gao, Tat-Seng Chua, Xindong Wu
2013 J jnl
Online Feature Selection with Streaming Features.
IEEE Trans. Pattern Anal. Mach. Intell.
Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xingquan Zhu
2013 A* conf
Online Group Feature Selection from Feature Streams.
AAAI
Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding
2013 A* conf
Online Group Feature Selection.
IJCAI
Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Meng Wang, Xindong Wu
2013 J jnl
PMBC: Pattern mining from biological sequences with wildcard constraints.
Comput. Biol. Medicine
Xindong Wu, Xingquan Zhu, Yu He, Abdullah N. Arslan
2013 J jnl
Pattern matching with wildcards and gap-length constraints based on a centrality-degree graph.
Appl. Intell.
Dan Guo, Xuegang Hu, Fei Xie, Xindong Wu
2013 J jnl
Pnfs: Personalized Web News Filtering and Summarization.
Int. J. Artif. Intell. Tools
Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding
2013 A* conf
Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection.
AAAI
Xiaomei Li, Xindong Wu, Gong-Qing Wu, Xuegang Hu
2013 A* conf
Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification.
KDD
Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam
2013 J jnl
Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search.
IEEE Trans. Image Process.
Yue Gao, Meng Wang, Zheng-Jun Zha, Jialie Shen, Xuelong Li, Xindong Wu
2013 A conf
Web news extraction via path ratios.
CIKM
Gong-Qing Wu, Li Li, Xuegang Hu, Xindong Wu
2012 — ed.
12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012
ICDM Workshops
Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu
2012 A* ed.
12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012
ICDM
Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu
2012 — conf
A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services.
GRID
Jing Zhang, Gong-Qing Wu, Xuegang Hu, Xindong Wu
2012 C conf
A Real-Time Transportation Prediction System.
IEA/AIE
Hai-Guang Li, Zhao Li, Robert T. White, Xindong Wu
2012 C ed.
Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Dalian, China, June 9-12, 2012. Proceedings
IEA/AIE
He Jiang, Wei Ding, Moonis Ali, Xindong Wu
2012 J jnl
Compressed labeling on distilled labelsets for multi-label learning.
Mach. Learn.
Tianyi Zhou, Dacheng Tao, Xindong Wu
2012 J jnl
Cooperative Sparse Representation in Two Opposite Directions for Semi-Supervised Image Annotation.
IEEE Trans. Image Process.
Zhong-Qiu Zhao, Hervé Glotin, Zhao Xie, Jun Gao, Xindong Wu
2012 A* conf
Coupled behavior analysis for capturing coupling relationships in group-based market manipulations.
KDD
Yin Song, Longbing Cao, Xindong Wu, Gang Wei, Wu Ye, Wei Ding
2012 J jnl
Exploring Causal Relationships with Streaming Features.
Comput. J.
Kui Yu, Xindong Wu, Wei Ding, Hao Wang
2012 — conf
Extracting Web News Using Tag Path Patterns.
Web Intelligence
Gong-Qing Wu, Xindong Wu
2012 J jnl
Fast Co-Clustering by Ranking and Sampling.
Int. J. Softw. Informatics
Zhao Li, Xindong Wu
2012 J jnl
Intrusion Detection Models Based on Data Mining.
Int. J. Comput. Intell. Syst.
Guojun Mao, Xindong Wu, Xuxian Jiang
2012 J jnl
Learning from concept drifting data streams with unlabeled data.
Neurocomputing
Xindong Wu, Pei-Pei Li, Xuegang Hu
2012 J jnl
Mining Recurring Concept Drifts with Limited Labeled Streaming Data.
ACM Trans. Intell. Syst. Technol.
Pei-Pei Li, Xindong Wu, Xuegang Hu
2012 J jnl
Mining bridging rules between conceptual clusters.
Appl. Intell.
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang
2012 A* conf
Mining emerging patterns by streaming feature selection.
KDD
Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu
2012 J jnl
Multimodal Graph-Based Reranking for Web Image Search.
IEEE Trans. Image Process.
Meng Wang, Hao Li, Dacheng Tao, Ke Lu, Xindong Wu
2012 Misc conf
Online pattern matching with wildcards.
GrC
Jipeng Qiang, Weidong Tian, Dan Guo, Xindong Wu
2012 Misc conf
Pattern matching with wildcards based on multiple suffix trees.
GrC
Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Chi Wang
2012 — ch.
ProteinNET: A Protein Interaction Network Integration System.
Modern Advances in Intelligent Systems and Tools
Tianyu Cao, Xindong Wu, Xiaohua Hu
2012 A* conf
Self-Taught Active Learning from Crowds.
ICDM
Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu
2012 J jnl
The Apriori property of sequence pattern mining with wildcard gaps.
Int. J. Funct. Informatics Pers. Medicine
Fan Min, Youxi Wu, Xindong Wu
2012 J jnl
Top-10 Data Mining Case Studies.
Int. J. Inf. Technol. Decis. Mak.
Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoffrey J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane
2011 A* ed.
11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011
ICDM
Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu
2011 J jnl
A Bit-Parallel Algorithm for Sequential Pattern Matching with Wildcards.
Cybern. Syst.
Dan Guo, Xiao-Li Hong, Xuegang Hu, Jun Gao, Ying-Ling Liu, Gong-Qing Wu, Xindong Wu
2011 J jnl
A Chinese time ontology for the Semantic Web.
Knowl. Based Syst.
Chunxia Zhang, Cungen Cao, Yuefei Sui, Xindong Wu
2011 J jnl
A structurally motivated framework for discriminant analysis.
Pattern Anal. Appl.
Bo Yang, Songcan Chen, Xindong Wu
2011 — conf
Active Learning of Model Parameters for Influence Maximization.
ECML/PKDD (1)
Tianyu Cao, Xindong Wu, Xiaohua Tony Hu, Song Wang
2011 B conf
An Epidemic Model for News Spreading on Twitter.
ICTAI
Saeed Abdullah, Xindong Wu
2011 J jnl
Automatic clustering using genetic algorithms.
Appl. Math. Comput.
Yongguo Liu, Xindong Wu, Yi-Dong Shen
2011 J jnl
CLAP: Collaborative pattern mining for distributed information systems.
Decis. Support Syst.
Xingquan Zhu, Bin Li, Xindong Wu, Dan He, Chengqi Zhang
2011 A* conf
Causal Associative Classification.
ICDM
Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao
2011 J jnl
Corrective classification: Learning from data imperfections with aggressive and diverse classifier ensembling.
Inf. Syst.
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bond
2011 A* conf
Cross-Domain Collaborative Filtering over Time.
IJCAI
Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, Xindong Wu
2011 — ed.
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011
ICDM Workshops
Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu
2011 A conf
Feature selection using hierarchical feature clustering.
CIKM
Huawen Liu, Xindong Wu, Shichao Zhang
2011 J jnl
Fundamentals of association rules in data mining and knowledge discovery.
WIREs Data Mining Knowl. Discov.
Shichao Zhang, Xindong Wu
2011 — conf
Inferring Functional Groups from Microbial Gene Catalogue with Probabilistic Topic Models.
BIBM
Xin Chen, Tingting He, Xiaohua Hu, Yuan An, Xindong Wu
2011 — conf
K-Means Clustering with Bagging and MapReduce.
HICSS
Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Jing Zhang, Lian Li, Xindong Wu
2011 — conf
Keyword extraction based on sequential pattern mining.
ICIMCS
Jiajia Feng, Fei Xie, Xuegang Hu, Pei-Pei Li, Jie Cao, Xindong Wu
2011 J jnl
Manifold elastic net: a unified framework for sparse dimension reduction.
Data Min. Knowl. Discov.
Tianyi Zhou, Dacheng Tao, Xindong Wu
2011 J jnl
Maximizing influence spread in modular social networks by optimal resource allocation.
Expert Syst. Appl.
Tianyu Cao, Xindong Wu, Song Wang, Xiaohua Hu
2011 J jnl
Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints.
Comput. Intell.
Dan He, Xingquan Zhu, Xindong Wu
2011 J jnl
Ontology-Based Business Process Customization for Composite Web Services.
IEEE Trans. Syst. Man Cybern. Part A
Qianhui Liang, Xindong Wu, E. K. Park, Taghi M. Khoshgoftaar, Chi-Hung Chi
2011 B conf
Personalized News Filtering and Summarization on the Web.
ICTAI
Xindong Wu, Fei Xie, Gong-Qing Wu, Wei Ding
2011 — conf
Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams.
PAKDD (1)
Pei-Pei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang
2011 J jnl
Robust ensemble learning for mining noisy data streams.
Decis. Support Syst.
Peng Zhang, Xingquan Zhu, Yong Shi, Li Guo, Xindong Wu
2011 J jnl
Subkilometer crater discovery with boosting and transfer learning.
ACM Trans. Intell. Syst. Technol.
Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu
2011 B conf
Weighted Nonnegative Matrix Tri-Factorization for Co-clustering.
ICTAI
Zhao Li, Xindong Wu
2010 A* conf
10 Years of Data Mining Research: Retrospect and Prospect.
ICDM
Xindong Wu
2010 — conf
A 2-Tier Clustering Algorithm with Map-Reduce.
ChinaGrid
Jing Zhang, Gong-Qing Wu, Haiguang Li, Xuegang Hu, Xindong Wu
2010 Misc conf
A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams.
GrC
Qun Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li, Xindong Wu
2010 J jnl
A Modified Semi-Supervised Learning Algorithm on Laplacian Eigenmaps.
Neural Process. Lett.
Zhong-Qiu Zhao, Jun-Zhao Li, Jun Gao, Xindong Wu
2010 — conf
A Nettree for Approximate Maximal Pattern Matching with Gaps and One-Off Constraint.
ICTAI (2)
Youxi Wu, Xindong Wu, He Jiang, Fan Min
2010 Misc conf
A Nettree for pattern Matching with flexible wildcard Constraints.
IRI
Youxi Wu, Xindong Wu, Fan Min, Yan Li
2010 Misc conf
A New Automatic Categorization Algorithm for Web Services.
GrC
Jiaying He, Pei-Pei Li, Xuegang Hu, Xindong Wu
2010 A* conf
A Phrase-Based Method for Hierarchical Clustering of Web Snippets.
AAAI
Zhao Li, Xindong Wu
2010 J jnl
A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams.
Appl. Artif. Intell.
Pei-Pei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, Yunjun Gao
2010 — conf
A matrix modular SVM robust to imbalanced data for efficient visual concept detection.
Multimedia Information Retrieval
Hervé Glotin, Zhong-Qiu Zhao, Jun Gao, Xindong Wu
2010 A conf
Adaptive Informative Sampling for Active Learning.
SDM
Zhenyu Lu, Xindong Wu, Josh C. Bongard
2010 A* conf
Causal Discovery from Streaming Features.
ICDM
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
2010 — ch.
Discretization Methods.
Data Mining and Knowledge Discovery Handbook
Ying Yang, Geoffrey I. Webb, Xindong Wu
2010 — conf
Efficient missing data imputation for supervised learning.
IEEE ICCI
Shichao Zhang, Xindong Wu, Manlong Zhu
2010 A* conf
Ensemble pruning via individual contribution ordering.
KDD
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh C. Bongard
2010 J jnl
Exploratory analysis of protein translation regulatory networks using hierarchical random graphs.
BMC Bioinform.
Daniel Duanqing Wu, Xiaohua Hu, E. K. Park, Xiaofeng Wang, Jiali Feng, Xindong Wu
2010 — conf
Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering.
PAKDD (2)
Zhao Li, Xindong Wu, Zhenyu Lu
2010 A* ed.
ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010
ICDM
Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu
2010 — ed.
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010
ICDM Workshops
Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu
2010 J jnl
Integrating induction and deduction for noisy data mining.
Inf. Sci.
Yan Zhang, Xindong Wu
2010 — conf
Keyphrase extraction based on semantic relatedness.
IEEE ICCI
Fei Xie, Xindong Wu, Xuegang Hu
2010 A* conf
Learning from Concept Drifting Data Streams with Unlabeled Data.
AAAI
Pei-Pei Li, Xindong Wu, Xuegang Hu
2010 J jnl
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
CoRR
Tianyi Zhou, Dacheng Tao, Xindong Wu
2010 C conf
Mining Recurring Concept Drifts with Limited Labeled Streaming Data.
ACML
Pei-Pei Li, Xindong Wu, Xuegang Hu
2010 A* conf
Mining distribution change in stock order streams.
ICDE
Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, Kotagiri Ramamohanarao
2010 A* conf
NESVM: A Fast Gradient Method for Support Vector Machines.
ICDM
Tianyi Zhou, Dacheng Tao, Xindong Wu
2010 J jnl
NESVM: a Fast Gradient Method for Support Vector Machines
CoRR
Tianyi Zhou, Dacheng Tao, Xindong Wu
2010 J jnl
News Filtering and Summarization on the Web.
IEEE Intell. Syst.
Xindong Wu, Gong-Qing Wu, Fei Xie, Zhu Zhu, Xuegang Hu, Hao Lu, Huiqian Li
2010 J jnl
Nonnegative Matrix Factorization on Orthogonal Subspace.
Pattern Recognit. Lett.
Zhao Li, Xindong Wu, Hong Peng
2010 Misc conf
OASNET: an optimal allocation approach to influence maximization in modular social networks.
SAC
Tianyu Cao, Xindong Wu, Song Wang, Xiaohua Hu
2010 A* conf
Online Streaming Feature Selection.
ICML
Xindong Wu, Kui Yu, Hao Wang, Wei Ding
2010 — conf
Online causal discovery.
IEEE ICCI
Kui Yu, Xindong Wu, Hao Wang
2010 Misc conf
Pattern Matching with Flexible Wildcards and Recurring Characters.
GrC
Haiping Wang, Fei Xie, Xuegang Hu, Pei-Pei Li, Xindong Wu
2010 A ed.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010
CIKM
Jimmy X. Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, Aijun An
2010 — conf
Rule Synthesizing from Multiple Related Databases.
PAKDD (2)
Dan He, Xindong Wu, Xingquan Zhu
2010 A* conf
SMILE: A Similarity-Based Approach for Multiple Instance Learning.
ICDM
Yanshan Xiao, Bo Liu, Longbing Cao, Jie Yin, Xindong Wu
2010 — conf
Semi-supervised Learning by Spectral Mapping with Label Information.
AICI (1)
Zhong-Qiu Zhao, Jun Gao, Xindong Wu
2010 — conf
Sequential Pattern Mining with Wildcards.
ICTAI (1)
Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua
2010 J jnl
Special issue on selected papers from IEEE DMF 2008.
Knowl. Inf. Syst.
Keith C. C. Chan, Xindong Wu
2010 — conf
The Apriori property of sequence pattern mining with wildcard gaps.
BIBM Workshops
Fan Min, Youxi Wu, Xindong Wu
2009 — conf
A Comparative Study of Pattern Matching Algorithms on Sequences.
RSFDGrC
Fan Min, Xindong Wu
2009 Misc conf
A relation extraction method of Chinese named entities based on location and semantic features.
GrC
Hai-Guang Li, Gong-Qing Wu, Xuegang Hu, Xindong Wu, Yuan-Jun Bi, Pei-Pei Li
2009 A* conf
Active Learning with Adaptive Heterogeneous Ensembles.
ICDM
Zhenyu Lu, Xindong Wu, Josh C. Bongard
2009 J jnl
An Agent-Based Hybrid System for Microarray Data Analysis.
IEEE Intell. Syst.
Zili Zhang, Pengyi Yang, Xindong Wu, Chengqi Zhang
2009 B conf
An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise.
PAKDD
Peng Zhang, Xingquan Zhu, Yong Shi, Xindong Wu
2009 B conf
Approximate Repeating Pattern Mining with Gap Requirements.
ICTAI
Dan He, Xingquan Zhu, Xindong Wu
2009 — conf
BPBM: An Algorithm for String Matching with Wildcards and Length Constraints.
RSFDGrC
Xiao-Li Hong, Xindong Wu, Xuegang Hu, Ying-Ling Liu, Jun Gao, Gong-Qing Wu
2009 — conf
Clustering Web Services for Automatic Categorization.
IEEE SCC
Qianhui Liang, Pei-Pei Li, Patrick C. K. Hung, Xindong Wu
2009 J jnl
EIC Editorial: Introducing the New Editor-in-Chief and Four New Associate Editors.
IEEE Trans. Knowl. Data Eng.
Xindong Wu
2009 B conf
Error Detection and Uncertainty Modeling for Imprecise Data.
ICTAI
Dan He, Xingquan Zhu, Xindong Wu
2009 J jnl
Geometric Mean for Subspace Selection.
IEEE Trans. Pattern Anal. Mach. Intell.
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank
2009 Misc ed.
Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings
HAIS
Emilio Corchado, Xindong Wu, Erkki Oja, Álvaro Herrero, Bruno Baruque
2009 A* ed.
ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009
ICDM
Wei Wang, Hillol Kargupta, Sanjay Ranka, Philip S. Yu, Xindong Wu
2009 — ed.
ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009
ICDM Workshops
Yücel Saygin, Jeffrey Xu Yu, Hillol Kargupta, Wei Wang, Sanjay Ranka, Philip S. Yu, Xindong Wu
2009 — conf
Local Semi-linear Regression for River Runoff Forecasting.
CSE (4)
Fan Min, Xindong Wu
2009 — conf
MReC4.5: C4.5 Ensemble Classification with MapReduce.
ChinaGrid
Gong-Qing Wu, Hai-Guang Li, Xuegang Hu, Yuan-Jun Bi, Jing Zhang, Xindong Wu
2009 — conf
Mining Frequent Patterns with Gaps and One-Off Condition.
CSE (1)
Yongming Huang, Xindong Wu, Xuegang Hu, Fei Xie, Jun Gao, Gong-Qing Wu
2009 J jnl
Mining globally interesting patterns from multiple databases using kernel estimation.
Expert Syst. Appl.
Shichao Zhang, Xiaofang You, Zhi Jin, Xindong Wu
2009 — conf
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data.
ICDM Workshops
Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao
2009 J jnl
Optimizing Service Systems Based on Application-Level QoS.
IEEE Trans. Serv. Comput.
Qianhui Althea Liang, Xindong Wu, Hoong Chuin Lau
2009 B conf
Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data.
PAKDD
Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu
2009 C conf
Pattern Matching with Independent Wildcard Gaps.
DASC
Fan Min, Xindong Wu, Zhenyu Lu
2009 Misc conf
Pattern Matching with Wildcards based on Key Character Location.
IRI
Ying-Ling Liu, Xindong Wu, Xuegang Hu, Jun Gao, Gong-Qing Wu, Haiping Wang, Xiao-Li Hong
2009 J jnl
Regional category parsing in undirected graphical models.
Pattern Recognit. Lett.
Zhao Xie, Jun Gao, Xindong Wu
2009 J jnl
Ubiquitous Mining with Interactive Data Mining Agents.
J. Comput. Sci. Technol.
Xindong Wu, Xingquan Zhu, Qijun Chen, Fei-Yue Wang
2009 Misc conf
Ubiquitous personalized information processing with wildcards.
GrC
Xindong Wu
2009 A* conf
Vague One-Class Learning for Data Streams.
ICDM
Xingquan Zhu, Xindong Wu, Chengqi Zhang
2008 Misc conf
A New Descriptive Clustering Algorithm based on Nonnegative Matrix Factorization.
GrC
Zhao Li, Hong Peng, Xindong Wu
2008 — conf
An Intrusion Detection Model Based on Mining Data Streams.
DMIN
DongJun Zong, Guojun Mao, Xindong Wu
2008 — conf
Automatic Recognition of News Web Pages.
ISI Workshops
Zhu Zhu, Gong-Qing Wu, Xindong Wu, Xuegang Hu, Fei-Yue Wang
2008 J jnl
Bayesian Tensor Approach for 3-D Face Modeling.
IEEE Trans. Circuits Syst. Video Technol.
Dacheng Tao, Mingli Song, Xuelong Li, Jialie Shen, Jimeng Sun, Xindong Wu, Christos Faloutsos, Stephen J. Maybank
2008 B conf
Bayesian tensor analysis.
IJCNN
Dacheng Tao, Jimeng Sun, Jialie Shen, Xindong Wu, Xuelong Li, Stephen J. Maybank, Christos Faloutsos
2008 A* conf
Cleansing Noisy Data Streams.
ICDM
Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi
2008 J jnl
Computing the minimum-support for mining frequent patterns.
Knowl. Inf. Syst.
Shichao Zhang, Xindong Wu, Chengqi Zhang, Jingli Lu
2008 J jnl
Conceptual equivalence for contrast mining in classification learning.
Data Knowl. Eng.
Ying Yang, Xindong Wu, Xingquan Zhu
2008 — ch.
Data Mining.
Wiley Encyclopedia of Computer Science and Engineering
Xindong Wu, Yan Zhang, Xingquan Zhu
2008 Misc conf
Data Mining: Algorithms and Problems.
HAIS
Xindong Wu
2008 J jnl
Editorial: TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng.
Xindong Wu
2008 — conf
Error-Tolerant Data Mining.
JCKBSE
Xindong Wu
2008 — conf
Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations.
ISI Workshops
Fei Xie, Xindong Wu, Xuegang Hu, Fei-Yue Wang
2008 — conf
Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages.
ICDM Workshops
Xinghua Li, Xindong Wu, Xuegang Hu, Fei Xie, Zhaozhong Jiang
2008 C conf
Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees.
ADMA
Pei-Pei Li, Xuegang Hu, Xindong Wu
2008 J jnl
Mining With Noise Knowledge: Error-Aware Data Mining.
IEEE Trans. Syst. Man Cybern. Part A
Xindong Wu, Xingquan Zhu
2008 — conf
Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation.
ICDM Workshops
Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Yingfeng Wang
2008 — conf
Robust Application-Level QoS Management in Service-Oriented Systems.
ICEBE
Qianhui Liang, Hoong Chuin Lau, Xindong Wu
2008 J jnl
TKDE 20(12) (December 2008) EIC Editorial: State of the Transactions.
IEEE Trans. Knowl. Data Eng.
Xindong Wu
2008 J jnl
Tensor Rank One Discriminant Analysis - A convergent method for discriminative multilinear subspace selection.
Neurocomputing
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank
2008 J jnl
Top 10 algorithms in data mining.
Knowl. Inf. Syst.
Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg
2008 — ch.
User-Centered Biological Information Location by Combining User Profiles and Domain Knowledge.
Next Generation of Data Mining
Jeffrey Stone, Xindong Wu, Marc Greenblatt
2007 — conf
A New Algorithm for Attribute Reduction in Decision Tables.
RSFDGrC
Xuegang Hu, Junhua Shi, Xindong Wu
2007 B conf
A Parallel Algorithm for Learning Bayesian Networks.
PAKDD
Kui Yu, Hao Wang, Xindong Wu
2007 J jnl
A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams.
J. Comput. Sci. Technol.
Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu
2007 A* conf
An Empirical Study of the Noise Impact on Cost-Sensitive Learning.
IJCAI
Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi
2007 B conf
Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing.
PAKDD
Xindong Wu
2007 A* conf
Discovering Relational Patterns across Multiple Databases.
ICDE
Xingquan Zhu, Xindong Wu
2007 J jnl
EIC Editorial: 2007 TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng.
Xindong Wu
2007 A* conf
General Averaged Divergence Analysis.
ICDM
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank
2007 J jnl
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank
2007 J jnl
Generic object recognition with regional statistical models and layer joint boosting.
Pattern Recognit. Lett.
Jun Gao, Zhao Xie, Xindong Wu
2007 C conf
Iterative Refinement of Repeat Sequence Specification Using Constrained Pattern Matching.
BIBE
Dan He, Abdullah N. Arslan, Yu He, Xindong Wu
2007 A* conf
Measuring the Uncertainty of Differences for Contrasting Groups.
AAAI
Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang
2007 A* conf
Mining Complex Patterns across Sequences with Gap Requirements.
IJCAI
Xingquan Zhu, Xindong Wu
2007 — conf
Mining Frequent Itemsets Using a Pruned Concept Lattice.
FSKD (3)
Xuegang Hu, Wei Liu, Dexing Wang, Xindong Wu
2007 Misc conf
Mining Frequent Patterns with Wildcards from Biological Sequences.
IRI
Yu He, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan
2007 J jnl
Mining Sequential Patterns across Time Sequences.
New Gener. Comput.
Gong Chen, Xindong Wu, Xingquan Zhu
2007 J jnl
Mining maximal frequent itemsets from data streams.
J. Inf. Sci.
Guojun Mao, Xindong Wu, Xingquan Zhu, Gong Chen, Chunnian Liu
2007 C conf
Mining with Noise Knowledge: Error Aware Data Mining.
CIS
Xindong Wu
2007 A* conf
Noise Modeling with Associative Corruption Rules.
ICDM
Yan Zhang, Xindong Wu
2007 — conf
Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria.
ICONIP (1)
Dacheng Tao, Jimeng Sun, Xindong Wu, Xuelong Li, Jialie Shen, Stephen J. Maybank, Christos Faloutsos
2007 A* ed.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007
KDD
Pavel Berkhin, Rich Caruana, Xindong Wu
2007 J jnl
Real-Time Texture Synthesis Using s-Tile Set.
J. Comput. Sci. Technol.
Feng Xue, You-Sheng Zhang, Julang Jiang, Min Hu, Xindong Wu, Ronggui Wang
2007 — conf
SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints.
BIBM
Dan He, Xindong Wu, Xingquan Zhu
2007 J jnl
Supervised tensor learning.
Knowl. Inf. Syst.
Dacheng Tao, Xuelong Li, Xindong Wu, Weiming Hu, Stephen J. Maybank
2007 J jnl
TKDE Guidelines for Survey Papers.
IEEE Trans. Knowl. Data Eng.
Christopher W. Clifton, Xindong Wu, Christos Faloutsos
2007 — conf
Varying Density Spatial Clustering Based on a Hierarchical Tree.
MLDM
Xuegang Hu, Dongbo Wang, Xindong Wu
2006 J jnl
10 Challenging Problems in Data Mining Research.
Int. J. Inf. Technol. Decis. Mak.
Qiang Yang, Xindong Wu
2006 J jnl
A logical framework for identifying quality knowledge from different data sources.
Decis. Support Syst.
Kaile Su, Huijing Huang, Xindong Wu, Shichao Zhang
2006 J jnl
Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Dacheng Tao, Xiaoou Tang, Xuelong Li, Xindong Wu
2006 J jnl
Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets.
Data Min. Knowl. Discov.
Xingquan Zhu, Xindong Wu, Qijun Chen
2006 J jnl
Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering.
IEEE Trans. Knowl. Data Eng.
Xingquan Zhu, Xindong Wu
2006 A* conf
Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners.
ICDM
Yan Zhang, Xingquan Zhu, Xindong Wu
2006 J jnl
EIC Editorial: State of the Transactions.
IEEE Trans. Knowl. Data Eng.
Xindong Wu
2006 J jnl
EIC Editorial: TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng.
Xindong Wu
2006 J jnl
Effective classification of noisy data streams with attribute-oriented dynamic classifier selection.
Knowl. Inf. Syst.
Xingquan Zhu, Xindong Wu, Ying Yang
2006 J jnl
Efficient string matching with wildcards and length constraints.
Knowl. Inf. Syst.
Gong Chen, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan, Yu He
2006 — conf
Elapsed Time in Human Gait Recognition: A New Approach.
ICASSP (2)
Dacheng Tao, Xuelong Li, Xindong Wu, Steve J. Maybank
2006 Misc conf
Error awareness data mining.
GrC
Xingquan Zhu, Xindong Wu
2006 — conf
Human Carrying Status in Visual Surveillance.
CVPR (2)
Dacheng Tao, Xuelong Li, Stephen J. Maybank, Xindong Wu
2006 A* conf
Identifying bridging rules between conceptual clusters.
KDD
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang
2006 J jnl
Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams.
Data Min. Knowl. Discov.
Ying Yang, Xindong Wu, Xingquan Zhu
2006 Misc conf
Ontology-based feature weighting for biomedical literature classification.
IRI
Dan He, Xindong Wu
2006 — ch.
SVM-OD: SVM Method to Detect Outliers.
Foundations and Novel Approaches in Data Mining
Jiaqi Wang, Chengqi Zhang, Xindong Wu, Hongwei Qi, Jue Wang
2006 — conf
Scalable Representative Instance Selection and Ranking.
ICPR (3)
Xingquan Zhu, Xindong Wu
2006 C conf
Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm.
ISMIS
Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao
2006 B conf
User-Centered Agents for Structured Information Location on the Web.
EDOC
Xindong Wu
2005 B conf
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases.
DaWaK
Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang
2005 B conf
ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing.
ICTAI
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bond
2005 A* conf
Combining proactive and reactive predictions for data streams.
KDD
Ying Yang, Xindong Wu, Xingquan Zhu
2005 J jnl
Cost-Constrained Data Acquisition for Intelligent Data Preparation.
IEEE Trans. Knowl. Data Eng.
Xingquan Zhu, Xindong Wu
2005 J jnl
Database classification for multi-database mining.
Inf. Syst.
Xindong Wu, Chengqi Zhang, Shichao Zhang
2005 — ch.
Discretization Methods.
The Data Mining and Knowledge Discovery Handbook
Ying Yang, Geoffrey I. Webb, Xindong Wu
2005 J jnl
EIC Editorial: TKDE Editorial Board Changes.
IEEE Trans. Knowl. Data Eng.
Xindong Wu
2005 J jnl
Editorial: TKDE Topic Area Revisions.
IEEE Trans. Knowl. Data Eng.
Xindong Wu, Christos Faloutsos
2005 J jnl
Mining Frequent Patterns with the Pattern Tree.
New Gener. Comput.
Hao Huang, Xindong Wu, Richard Relue
2005 Misc conf
Rearranging data objects for efficient and stable clustering.
SAC
Gyesung Lee, Xindong Wu, Jinho Chon
2005 C conf
Scalable Inductive Learning on Partitioned Data.
ISMIS
Qijun Chen, Xindong Wu, Xingquan Zhu
2005 A* conf
Sequential Pattern Mining in Multiple Streams.
ICDM
Gong Chen, Xindong Wu, Xingquan Zhu
2005 A* conf
Supervised Tensor Learning.
ICDM
Dacheng Tao, Xuelong Li, Weiming Hu, Stephen J. Maybank, Xindong Wu
2005 J jnl
Support vector machines based on K-means clustering for real-time business intelligence systems.
Int. J. Bus. Intell. Data Min.
Jiaqi Wang, Xindong Wu, Chengqi Zhang
2005 J jnl
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective.
IEEE Trans. Knowl. Data Eng.
Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, Lide Wu
2004 — conf
An Intelligent Digital Library System for Biologists.
CSB
Jeffrey Stone, Xindong Wu, Marc Greenblatt
2004 J jnl
Class Noise vs. Attribute Noise: A Quantitative Study.
Artif. Intell. Rev.
Xingquan Zhu, Xindong Wu
2004 A* conf
Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning.
ICDM
Xingquan Zhu, Xindong Wu
2004 B conf
Data Acquisition with Active and Impact-Sensitive Instance Selection.
ICTAI
Xingquan Zhu, Xindong Wu
2004 J jnl
Data Mining: An AI Perspective.
IEEE Intell. Informatics Bull.
Xindong Wu
2004 — conf
Data Mining: Artificial Intelligence in Data Analysis.
Web Intelligence
Xindong Wu
2004 — conf
Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.
PKDD
Ying Yang, Xindong Wu, Xingquan Zhu
2004 A* conf
Dynamic Classifier Selection for Effective Mining from Noisy Data Streams.
ICDM
Xingquan Zhu, Xindong Wu, Ying Yang
2004 J jnl
Editorial: Introducing the New Editor-in-Chief.
Knowl. Inf. Syst.
Xindong Wu
2004 J jnl
Efficient mining of both positive and negative association rules.
ACM Trans. Inf. Syst.
Xindong Wu, Chengqi Zhang, Shichao Zhang
2004 A* conf
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets.
AAAI
Xingquan Zhu, Xindong Wu, Ying Yang
2004 J jnl
Exploring video content structure for hierarchical summarization.
Multim. Syst.
Xingquan Zhu, Xindong Wu, Jianping Fan, Ahmed K. Elmagarmid, Walid G. Aref
2004 J jnl
Guest Editors' Introduction: Mining Actionable Knowledge on the Web.
IEEE Intell. Syst.
Qiang Yang, Craig A. Knoblock, Xindong Wu
2004 B conf
Knowledge Discovery in Multiple Databases.
ICTAI
Xindong Wu
2004 — book
Knowledge Discovery in Multiple Databases.
Shichao Zhang, Chengqi Zhang, Xindong Wu
2004 C conf
OIDM: Online Interactive Data Mining.
IEA/AIE
Qijun Chen, Xindong Wu, Xingquan Zhu
2004 J jnl
Parameter Tuning for Induction-Algorithm-Oriented Feature Elimination.
IEEE Intell. Syst.
Ying Yang, Xindong Wu
2003 J jnl
Data Mining: How Research Meets Practical Development?
Knowl. Inf. Syst.
Xindong Wu, Philip S. Yu, Gregory Piatetsky-Shapiro
2003 A* conf
Eliminating Class Noise in Large Datasets.
ICML
Xingquan Zhu, Xindong Wu, Qijun Chen
2003 J jnl
Hierarchical video content description and summarization using unified semantic and visual similarity.
Multim. Syst.
Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, Xindong Wu
2003 A* conf
Mining Video Associations for Efficient Database Management.
IJCAI
Xingquan Zhu, Xindong Wu
2003 J jnl
Multi-Database Mining.
IEEE Intell. Informatics Bull.
Shichao Zhang, Xindong Wu, Chengqi Zhang
2003 J jnl
Online First publication.
Knowl. Inf. Syst.
Xindong Wu
2003 A conf
Sequential association mining for video summarization.
ICME
Xingquan Zhu, Xindong Wu
2003 J jnl
Synthesizing High-Frequency Rules from Different Data Sources.
IEEE Trans. Knowl. Data Eng.
Xindong Wu, Shichao Zhang
2002 A* conf
Association Analysis with One Scan of Databases.
ICDM
Hao Huang, Xindong Wu, Richard Relue
2002 B conf
Dynamic Refinement of Classification Rules.
ICTAI
Kalyani K. Manchi, Xindong Wu
2002 C conf
Knowledge discovery in very large databases.
SEKE
Xindong Wu
2002 J jnl
Message from the TCCI Chair.
IEEE Intell. Informatics Bull.
Xindong Wu
2002 A* conf
Mining Both Positive and Negative Association Rules.
ICML
Xindong Wu, Chengqi Zhang, Shichao Zhang
2002 J jnl
Using Knowledge Anchors to Reduce Cognitive Overheads.
Computer
Stephen Ransom, Xindong Wu
2001 A conf
Efficient Runtime Generation of Association Rules.
CIKM
Richard Relue, Xindong Wu, Hao Huang
2001 J jnl
Large Scale Data Mining Based on Data Partitioning.
Appl. Artif. Intell.
Shichao Zhang, Xindong Wu
2001 A* ed.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November - 2 December 2001, San Jose, California, USA
Nick Cercone, Tsau Young Lin, Xindong Wu
2001 — conf
User-Centered Agents for Structured Information Location.
E-Commerce Agents
Xindong Wu, Daniel Ngu, Sameer Pradhan
2000 J jnl
Building Intelligent Learning Database Systems.
AI Mag.
Xindong Wu
2000 J jnl
Knowledge object modeling.
IEEE Trans. Syst. Man Cybern. Part A
Xindong Wu, Kevin Cai
1999 J jnl
Editorial.
Knowl. Inf. Syst.
Benjamin W. Wah, Xindong Wu
1999 J jnl
Editorial.
Knowl. Inf. Syst.
Xindong Wu, Benjamin W. Wah
1999 J jnl
Fuzzy interpretation of discretized intervals.
IEEE Trans. Fuzzy Syst.
Xindong Wu
1999 J jnl
Induction By Attribute Elimination.
IEEE Trans. Knowl. Data Eng.
Xindong Wu, David Urpani
1999 B conf
Induction as Pre-processing.
PAKDD
Xindong Wu
1998 — conf
Interest Discovery for Incremental Web Exploration.
WebNet
Daniel Siaw Weng Ngu, Xindong Wu
1998 J jnl
LFA+: A Fast Chaining Algorithm for Rule-Based Systems.
Informatica (Slovenia)
Xindong Wu, Guang Fang, Matjaz Gams
1998 J jnl
Learning Design Knowledge as Generalization.
Cybern. Syst.
Heng Li, Xindong Wu
1998 B conf
Multi-layer Incremental Induction.
PRICAI
Xindong Wu, William H. W. Lo
1998 J jnl
Object-Oriented Modeling of Multimedia Documents.
Comput. Networks
Thuy-Linh Nguyen, Xindong Wu, Sayed Sajeev
1998 J jnl
RIEVL: Recursive Induction Learning in Hand Gesture Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Meide Zhao, Francis K. H. Quek, Xindong Wu
1998 B ed.
Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98, Melbourne, Australia, April 15-17, 1998, Proceedings
PAKDD
Xindong Wu, Kotagiri Ramamohanarao, Kevin B. Korb
1998 J jnl
Rule Induction with Extension Matrices.
J. Am. Soc. Inf. Sci.
Xindong Wu
1998 J jnl
Wide Area Selection as a Hyperdocument Search Interface.
Comput. Networks
Jason Lowder, Xindong Wu
1997 — conf
A Study of Causal Discovery With Weak Links and Small Samples.
IJCAI
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu
1997 J jnl
Disorientation and Cognitive Overhead in Hypertext Systems.
Int. J. Artif. Intell. Tools
Stephen Ransom, Xindong Wu, Heinz W. Schmidt
1997 J jnl
Hybrid Interpretation of 'No Match' and 'Multiple Match' in Induction.
Comput. J.
Xindong Wu
1997 B conf
Schedular++: Scheduling with Knowledge Objects.
ICTAI
Kevin Cai, Xindong Wu, Heinz W. Schmidt
1997 J jnl
SiteHelper: A Localized Agent That Helps Incremental Exploration of the World Wide Web.
Comput. Networks
Daniel Siaw Weng Ngu, Xindong Wu
1996 J jnl
A Bayesian Discretizer for Real-Valued Attributes.
Comput. J.
Xindong Wu
1996 J jnl
Noise Handling with Extension Matrices.
Int. J. Artif. Intell. Tools
Xindong Wu, Johan Krisár, Petter Måhlén
1996 A* conf
RITIO - Rule Induction Two In One.
KDD
David Urpani, Xindong Wu, Jim Sykes
1996 A conf
Rule Induction Without Decision Tree Construction.
ECAI
Xindong Wu, David Urpani, James A. Sykes
1995 A* conf
Fuzzy Interpretation of Induction Results.
KDD
Xindong Wu, Petter Måhlén
1995 J jnl
Knowledge Objects.
Informatica (Slovenia)
Xindong Wu, Sita Ramakrishnan, Heinz W. Schmidt
1995 B conf
Noise handling with extension matrices.
ICTAI
Xindong Wu, Johan Krisár, Petter Måhlén
1995 C conf
SIKT: A Structured Interactive Knowledge Transfer Program.
IEA/AIE
Xindong Wu
1994 J jnl
Lecture Notes in Machine Learning.
Informatica (Slovenia)
Xindong Wu
1993 J jnl
A Prolog-Based Presentation for Integrating Knowledge and Data.
Informatica (Slovenia)
Xindong Wu
1993 J jnl
Inductive learning.
J. Comput. Sci. Technol.
Xindong Wu
1993 J jnl
Inductive learning: Algorithms and frontiers.
Artif. Intell. Rev.
Xindong Wu
1993 — conf
The HCV Induction Algorithm.
ACM Conference on Computer Science
Xindong Wu