Xingquan Zhu

396 papers A* 73A 23B 23C 7Misc 21Journal 189Unranked 53
YearRankTypeTitle / Venue / Authors
2026 J jnl
COMBA: Cross Batch Aggregation for Learning Large Graphs with Context Gating State Space Models.
CoRR
Jiajun Shen, Yufei Jin, Yi He, Xingquan Zhu
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
TransFair: Transferring fairness from ocular disease classification to progression prediction.
Artif. Intell. Medicine
Min Shi, Leila Gheisi, Chee-Hung Henry Chu, Raju Gottumukkala, Yan Luo, Mengyu Wang, Xingquan Zhu
2025 J jnl
A Systematic Study and Analysis of Graph Neural Networks under Noise.
ACM Trans. Knowl. Discov. Data
Yufei Jin, Xingquan Zhu
2025 J jnl
Automated graph anomaly detection with large language models.
Knowl. Based Syst.
Jiaqi Yu, Yang Gao, Hong Yang, Zhihong Tian, Peng Zhang, Xingquan Zhu
2025 J jnl
Citywide Multi-Step Crime Prediction via Context-Aware Bayesian Tensor Decomposition.
IEEE Trans. Inf. Forensics Secur.
Weichao Liang, Fengmao Lv, Lei Chen, Haicheng Tao, Min Shi, Xingquan Zhu, Jie Cao
2025 J jnl
Combining Knowledge Graph and LLMs for Enhanced Zero-shot Visual Question Answering.
CoRR
Qian Tao, Xiaoyang Fan, Yong Xu, Xingquan Zhu, Yufei Tang
2025 B conf
CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward.
IEEE Big Data
Zhiqiang Wang, Pengbin Feng, Yanbin Lin, Shuzhang Cai, Zongao Bian, Jinghua Yan, Xingquan Zhu
2025 J jnl
CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward.
CoRR
Zhiqiang Wang, Pengbin Feng, Yanbin Lin, Shuzhang Cai, Zongao Bian, Jinghua Yan, Xingquan Zhu
2025 C conf
EDLAD: Ensemble Deep Learning for Alzheimer's Disease Detection using Brain EEG Signals.
ICMLA
An T. T. Phan, Xingquan Zhu
2025 J jnl
Few-Shot Object Counting with frequency attention and multi-perception head.
Neurocomputing
Gaoxin Ma, Xingquan Zhu, Zhen Tian, Yangdong Ye, Zhenfeng Zhu
2025 A* conf
HGEN: Heterogeneous Graph Ensemble Networks.
IJCAI
Jiajun Shen, Yufei Jin, Kaibu Feng, Yi He, Xingquan Zhu
2025 J jnl
HGEN: Heterogeneous Graph Ensemble Networks.
CoRR
Jiajun Shen, Yufei Jin, Yi He, Xingquan Zhu
2025 J jnl
Interpretable Individual Manatee Identification Using Sketch Images and Deep Neural Networks.
IEEE Access
Zhiqiang Wang, Sheri L. Barton, Jennifer H. Johnson, Yi He, Xingquan Zhu
2025 A* conf
LHGEL: Large Heterogeneous Graph Ensemble Learning using Batch View Aggregation.
ICDM
Jiajun Shen, Yufei Jin, Yi He, Xingquan Zhu
2025 J jnl
LHGEL: Large Heterogeneous Graph Ensemble Learning using Batch View Aggregation.
CoRR
Jiajun Shen, Yufei Jin, Yi He, Xingquan Zhu
2025 A* conf
Metric-Agnostic Continual Learning for Sustainable Group Fairness.
AAAI
Heng Lian, Chen Zhao, Zhong Chen, Xingquan Zhu, My T. Thai, Yi He
2025 J jnl
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation.
CoRR
Md Zubair, Hao Zheng, Nussdorf Jonathan, Grayson W. Armstrong, Lucy Q. Shen, Gabriela Wilson, Yu Tian, Xingquan Zhu, Min Shi
2025 A conf
OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories.
CIKM
Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chérubin, Can Wang, Alan Wee-Chung Liew, Qinghua Lu, Jingwei Yao, Hong Zhang, Shirui Pan, Xingquan Zhu
2025 J jnl
OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories.
CoRR
Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chérubin, Alan Wee-Chung Liew, Can Wang, Qinghua Lu, Jingwei Yao, Shirui Pan, Hong Zhang, Xingquan Zhu
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
Oversmoothing alleviation in graph neural networks: a survey and unified view.
Knowl. Inf. Syst.
Yufei Jin, Xingquan Zhu
2025 J jnl
Statistical and Machine Learning Approaches for Electrical Energy Forecasting.
WIREs Data. Mining. Knowl. Discov.
Solange Machado, Xingquan Zhu
2025 C conf
Survival Analysis for Employee Retention Prediction in Retail and Trade Sector Organizations.
ICMLA
Ariel Gonzalez Batista, Xingquan Zhu
2025 A* conf
Topology-aware Neural Flux Prediction Guided by Physics.
ICML
Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He
2025 J jnl
Topology-aware Neural Flux Prediction Guided by Physics.
CoRR
Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He
2025 A* conf
Towards Fairness with Limited Demographics via Disentangled Learning.
IJCAI
Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang
2024 J jnl
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks.
CoRR
Yufei Jin, Xingquan Zhu
2024 — conf
Adaptable and Reliable Text Classification using Large Language Models.
ICDM (Workshops)
Zhiqiang Wang, Yiran Pang, Yanbin Lin, Xingquan Zhu
2024 — conf
An Empirical Study of Named Entity Recognition for Electronic Health Records.
ICKG
Nichapha Manoonwong, Anca O. Muresan, Anudeep Reddy Raavi, Xingquan Zhu
2024 J jnl
Black-box attacks on dynamic graphs via adversarial topology perturbations.
Neural Networks
Haicheng Tao, Jie Cao, Lei Chen, Hong-Liang Sun, Yong Shi, Xingquan Zhu
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 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 — ed.
Computational Data and Social Networks - 12th International Conference, CSoNet 2023, Hanoi, Vietnam, December 11-13, 2023, Proceedings
CSoNet
Minh Hoàng Hà, Xingquan Zhu, My T. Thai
2024 J jnl
Enhancing Manatee Aggregation Counting Through Augmentation and Cross-Domain Learning.
IEEE Access
Matteo Zaramella, Xingquan Zhu, Irene Amerini
2024 A* conf
GLDL: Graph Label Distribution Learning.
AAAI
Yufei Jin, Richard Gao, Yi He, Xingquan Zhu
2024 J jnl
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.
CoRR
Man Wu, Xin Zheng, Qin Zhang, Xiao Shen, Xiong Luo, Xingquan Zhu, Shirui Pan
2024 A* conf
Graph Rhythm Network: Beyond Energy Modeling for Deep Graph Neural Networks.
ICDM
Yufei Jin, Xingquan Zhu
2024 A* conf
HGDL: Heterogeneous Graph Label Distribution Learning.
NeurIPS
Yufei Jin, Heng Lian, Yi He, Xingquan Zhu
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 — conf
LG-FAL: Locality-customized GSA Federated Active Learning.
ICKG
Shuwen Wang, Xingquan Zhu
2024 J jnl
LLMGeo: Benchmarking Large Language Models on Image Geolocation In-the-wild.
CoRR
Zhiqiang Wang, Dejia Xu, Rana Muhammad Shahroz Khan, Yanbin Lin, Zhiwen Fan, Xingquan Zhu
2024 — conf
Language Modeling for Sentence Level Assessment: A Case Study of First-Year English Composition.
ICKG
Rishabh Lingam, Sipai Klein, Wendy W. Hinshaw, Xingquan Zhu
2024 J jnl
Modeling and prediction of business success: a survey.
Artif. Intell. Rev.
Divya Gangwani, Xingquan Zhu
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
Tackling the class imbalanced dermoscopic image classification using data augmentation and GAN.
Multim. Tools Appl.
Mostapha Alsaidi, Muhammad Tanveer Jan, Ahmed Altaher, Hanqi Zhuang, Xingquan Zhu
2024 J jnl
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction.
CoRR
Leila Gheisi, Henry Chu, Raju Gottumukkala, Yan Luo, Xingquan Zhu, Mengyu Wang, Min Shi
2024 J jnl
Transfer Contrastive Learning for Raman Spectroscopy Skin Cancer Tissue Classification.
IEEE J. Biomed. Health Informatics
Zhiqiang Wang, Yanbin Lin, Xingquan Zhu
2024 A* conf
Utilitarian Online Learning from Open-World Soft Sensing.
ICDM
Heng Lian, Yu Huang, Xingquan Zhu, Yi He
2023 — conf
ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation.
ECML/PKDD (4)
Boyu Li, Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
2023 J jnl
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel.
CoRR
Zhiqiang Wang, Yiran Pang, Cihan Ulus, Xingquan Zhu
2023 J jnl
Editorial: Special Issue on Transfer Learning.
Neural Process. Lett.
Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
2023 J jnl
Exploring investor-business-market interplay for business success prediction.
J. Big Data
Divya Gangwani, Xingquan Zhu, Borko Furht
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
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
Repetitive nonoverlapping sequential pattern mining.
CoRR
Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
2023 A conf
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation.
WSDM
Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen
2023 A* conf
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data.
NeurIPS
Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan
2023 J jnl
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data.
CoRR
Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan
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
2022 J jnl
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network.
IEEE Trans. Emerg. Top. Comput. Intell.
Man Wu, Shirui Pan, Xingquan Zhu
2022 J jnl
Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View.
IEEE CAA J. Autom. Sinica
Shuwen Wang, Xingquan Zhu, Weiping Ding, Amir Alipour Yengejeh
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
Editorial: special issue on multi-view learning.
Appl. Intell.
Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
2022 J jnl
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.
IEEE Trans. Cybern.
Min Shi, Yufei Tang, Xingquan Zhu, Yuan Zhuang, Maohua Lin, Jianxun Liu
2022 J jnl
Genetic-GNN: Evolutionary architecture search for Graph Neural Networks.
Knowl. Based Syst.
Min Shi, Yufei Tang, Xingquan Zhu, Yu Huang, David A. Wilson, Yuan Zhuang, Jianxun Liu
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* 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 J jnl
Introduction to special issue on scientific and statistical data management in the age of AI 2021.
Distributed Parallel Databases
Qiang Zhu, Xingquan Zhu, Yicheng Tu
2022 J jnl
Knowledge Graph Embedding by Double Limit Scoring Loss.
IEEE Trans. Knowl. Data Eng.
Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo
2022 A conf
Local Contrastive Feature Learning for Tabular Data.
CIKM
Zhabiz Gharibshah, Xingquan Zhu
2022 J jnl
Local Contrastive Feature learning for Tabular Data.
CoRR
Zhabiz Gharibshah, Xingquan Zhu
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 — conf
Message from the ICDM 2022 Program Committee Chairs.
ICDM (Workshops)
Xingquan Zhu, Sanjay Ranka
2022 J jnl
Multi-Label Graph Convolutional Network Representation Learning.
IEEE Trans. Big Data
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
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
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction.
Health Inf. Sci. Syst.
Shuwen Wang, Xingquan Zhu
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
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.
IEEE Access
Yu Huang, Yufei Tang, Xingquan Zhu, Hanqi Zhuang, Laurent M. Chérubin
2022 B conf
Predictive Masking for Semi-Supervised Graph Contrastive Learning.
IEEE Big Data
Yufei Jin, Xingquan Zhu
2022 J jnl
Predictive Modeling of Hospital Readmission: Challenges and Solutions.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shuwen Wang, Xingquan Zhu
2022 B conf
Temporal Adaptive Aggregation Network for Dynamic Graph Learning.
IEEE Big Data
Man Wu, Xingquan Zhu
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
Topology and Content Co-Alignment Graph Convolutional Learning.
IEEE Trans. Neural Networks Learn. Syst.
Min Shi, Yufei Tang, Xingquan Zhu
2022 — conf
Transfer Naïve Bayes Learning using Augmentation and Stacking for SMS Spam Detection.
ICKG
Cihan Ulus, Zhiqiang Wang, Sheikh M. A. Iqbal, K. Md. Salman Khan, Xingquan Zhu
2022 J jnl
User Response Prediction in Online Advertising.
ACM Comput. Surv.
Zhabiz Gharibshah, Xingquan Zhu
2022 J jnl
Web Service Network Embedding Based on Link Prediction and Convolutional Learning.
IEEE Trans. Serv. Comput.
Min Shi, Yuan Zhuang, Yufei Tang, Maohua Lin, Xingquan Zhu, Jianxun Liu
2021 — ed.
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021
IEEE BigData
Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama M. Fayyad, Xingquan Zhu, Xiaohua Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez
2021 — conf
An Empirical Study of Deep Learning Frameworks for Melanoma Cancer Detection using Transfer Learning and Data Augmentation.
ICBK
Divya Gangwani, Qianxin Liang, Shuwen Wang, Xingquan Zhu
2021 J jnl
Community and topic modeling for infectious disease clinical trial recommendation.
Netw. Model. Anal. Health Informatics Bioinform.
Magdalyn E. Elkin, Xingquan Zhu
2021 J jnl
Extreme clustering - A clustering method via density extreme points.
Inf. Sci.
Shuliang Wang, Qi Li, Chuanfeng Zhao, Xingquan Zhu, Hanning Yuan, Tianru Dai
2021 A* conf
GAEN: Graph Attention Evolving Networks.
IJCAI
Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu
2021 — conf
GraSSNet: Graph Soft Sensing Neural Networks.
IEEE BigData
Yu Huang, Chao Zhang, Jaswanth K. Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, Sthitie Bom
2021 J jnl
GraSSNet: Graph Soft Sensing Neural Networks.
CoRR
Yu Huang, Chao Zhang, Jaswanth K. Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, Sthitie Bom
2021 — conf
Graph Compression Networks.
IEEE BigData
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
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 J jnl
Learning Graph Neural Networks with Positive and Unlabeled Nodes.
CoRR
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
2021 J jnl
Learning Graph Neural Networks with Positive and Unlabeled Nodes.
ACM Trans. Knowl. Discov. Data
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
2021 J jnl
OpenWGL: open-world graph learning for unseen class node classification.
Knowl. Inf. Syst.
Man Wu, Shirui Pan, Xingquan Zhu
2021 J jnl
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems.
CoRR
Yu Huang, Yufei Tang, Xingquan Zhu, Min Shi, Ali Muhamed Ali, Hanqi Zhuang, Laurent M. Chérubin
2021 J jnl
Predictive Modeling of Hospital Readmission: Challenges and Solutions.
CoRR
Shuwen Wang, Xingquan Zhu
2021 B ed.
SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, Tampa, FL, USA, July 6-7, 2021
SSDBM
Qiang Zhu, Xingquan Zhu, Yicheng Tu, Zichen Xu, Anand Kumar
2021 J jnl
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting.
CoRR
Yu Huang, James Li, Min Shi, Hanqi Zhuang, Xingquan Zhu, Laurent M. Chérubin, James H. VanZwieten, Yufei Tang
2021 J jnl
Search Efficient Binary Network Embedding.
ACM Trans. Knowl. Discov. Data
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2021 — conf
Understanding and Predicting Faculty Success in Winning Grant Awards.
IEEE BigData
Jose Delgado, Xingquan Zhu, Karin Scarpinato, Jason O. Hallstrom, Terje Hill
2021 J jnl
User Response Prediction in Online Advertising.
CoRR
Zhabiz Gharibshah, Xingquan Zhu
2021 — conf
Weak Supervision Network Embedding for Constrained Graph Learning.
PAKDD (1)
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
2020 J jnl
A survey and taxonomy of adversarial neural networks for text-to-image synthesis.
WIREs Data Mining Knowl. Discov.
Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu
2020 Misc conf
COPD Disease Classification Using Network Embedding with Synthetic Relationships.
FLAIRS
Anak Wannaphaschaiyong, Xingquan Zhu
2020 J jnl
Deep Learning for User Interest and Response Prediction in Online Display Advertising.
Data Sci. Eng.
Zhabiz Gharibshah, Xingquan Zhu, Arthur Hainline, Michael Conway
2020 J jnl
Dropout vs. batch normalization: an empirical study of their impact to deep learning.
Multim. Tools Appl.
Christian Garbin, Xingquan Zhu, Oge Marques
2020 J jnl
Evolutionary Architecture Search for Graph Neural Networks.
CoRR
Min Shi, David A. Wilson, Xingquan Zhu, Yu Huang, Yuan Zhuang, Jianxun Liu, Yufei Tang
2020 J jnl
Generalizing Long Short-Term Memory Network for Deep Learning from Generic Data.
ACM Trans. Knowl. Discov. Data
Huimei Han, Xingquan Zhu, Ying Li
2020 — conf
Imbalanced Learning for Hospital Readmission Prediction using National Readmission Database.
ICKG
Shuwen Wang, Magdalyn E. Elkin, Xingquan Zhu
2020 J jnl
MLNE: Multi-Label Network Embedding.
IEEE Trans. Neural Networks Learn. Syst.
Min Shi, Yufei Tang, Xingquan Zhu
2020 Misc conf
MedFroDetect: Medicare Fraud Detection with Extremely Imbalanced Class Distributions.
FLAIRS
Yuping Su, Xingquan Zhu, Bei Dong, Yumei Zhang, Xiaojun Wu
2020 A* conf
Multi-Class Imbalanced Graph Convolutional Network Learning.
IJCAI
Min Shi, Yufei Tang, Xingquan Zhu, David A. Wilson, Jianxun Liu
2020 — conf
Network Analysis of Technology Stocks using Market Correlation.
ICKG
Lukasz Chmielewski, Rafina Amin, Anak Wannaphaschaiyong, Xingquan Zhu
2020 J jnl
Network Representation Learning: A Survey.
IEEE Trans. Big Data
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2020 A* conf
OpenWGL: Open-World Graph Learning.
ICDM
Man Wu, Shirui Pan, Xingquan Zhu
2020 J jnl
Time-Variant Graph Classification.
IEEE Trans. Syst. Man Cybern. Syst.
Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang
2020 J jnl
Topic-aware Web Service Representation Learning.
ACM Trans. Web
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
2020 J jnl
Topical network embedding.
Data Min. Knowl. Discov.
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu, Haibo He
2020 J jnl
Topology and Content Co-Alignment Graph Convolutional Learning.
CoRR
Min Shi, Yufei Tang, Xingquan Zhu
2020 — conf
TriNE: Network Representation Learning for Tripartite Heterogeneous Networks.
ICKG
Zhabiz Gharibshah, Xingquan Zhu
2020 J jnl
TriNE: Network Representation Learning for Tripartite Heterogeneous Networks.
CoRR
Zhabiz Gharibshah, Xingquan Zhu
2020 A* conf
Unsupervised Domain Adaptive Graph Convolutional Networks.
WWW
Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu
2019 J jnl
A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis.
CoRR
Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu
2019 J jnl
Attributed Network Embedding via Subspace Discovery.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019 J jnl
Attributed network embedding via subspace discovery.
Data Min. Knowl. Discov.
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019 J jnl
CFOND: Consensus Factorization for Co-Clustering Networked Data.
IEEE Trans. Knowl. Data Eng.
Ting Guo, Shirui Pan, Xingquan Zhu, Chengqi Zhang
2019 J jnl
Convolutional neural network learning for generic data classification.
Inf. Sci.
Huimei Han, Ying Li, Xingquan Zhu
2019 — conf
Deep Learning for Online Display Advertising User Clicks and Interests Prediction.
APWeb/WAIM (1)
Zhabiz Gharibshah, Xingquan Zhu, Arthur Hainline, Michael Conway
2019 A* conf
Discriminative Sample Generation for Deep Imbalanced Learning.
IJCAI
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
2019 A* conf
Domain-Adversarial Graph Neural Networks for Text Classification.
ICDM
Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan
2019 J jnl
Encrypted data indexing for the secure outsourcing of spectral clustering.
Knowl. Inf. Syst.
Bozhong Liu, Ling Chen, Xingquan Zhu, Weidong Qiu
2019 J jnl
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.
CoRR
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
2019 J jnl
Generalized Feature Embedding for Supervised, Unsupervised, and Online Learning Tasks.
Inf. Syst. Frontiers
Eric Golinko, Xingquan Zhu
2019 A conf
Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning.
CIKM
Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du
2019 J jnl
Multi-Label Graph Convolutional Network Representation Learning.
CoRR
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
2019 — conf
Network Analysis and Recommendation for Infectious Disease Clinical Trial Research.
BCB
Magdalyn E. Elkin, Whitney Angelica Andrews, Xingquan Zhu
2019 A* conf
Relation Structure-Aware Heterogeneous Graph Neural Network.
ICDM
Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang
2019 J jnl
Search Efficient Binary Network Embedding.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
A Natural Language Processing Framework for Assessing Hospital Readmissions for Patients With COPD.
IEEE J. Biomed. Health Informatics
Ankur Agarwal, Christopher Baechle, Ravi S. Behara, Xingquan Zhu
2018 J jnl
A Novel Consistent Random Forest Framework: Bernoulli Random Forests.
IEEE Trans. Neural Networks Learn. Syst.
Yisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, Xingquan Zhu
2018 A* conf
Deep Structure Learning for Fraud Detection.
ICDM
Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang
2018 Misc conf
Deep Transfer Learning for Traffic Sign Recognition.
IRI
Grant Rosario, Thomas Sonderman, Xingquan Zhu
2018 A* conf
EDLT: Enabling Deep Learning for Generic Data Classification.
ICDM
Huimei Han, Xingquan Zhu, Ying Li
2018 J jnl
Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.
IEEE Trans. Cybern.
Lianhua Chi, Bin Li, Xingquan Zhu, Shirui Pan, Ling Chen
2018 J jnl
K-Ary Tree Hashing for Fast Graph Classification.
IEEE Trans. Knowl. Data Eng.
Wei Wu, Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang
2018 C conf
Learning Convolutional Neural Networks from Ordered Features of Generic Data.
ICMLA
Eric Golinko, Thomas Sonderman, Xingquan Zhu
2018 — conf
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.
PAKDD (2)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
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 J jnl
Multiple Structure-View Learning for Graph Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
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
Network Representation Learning: A Survey.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 — ch.
Quantitative Association Rules.
Encyclopedia of Database Systems (2nd ed.)
Xingquan Zhu
2018 A* conf
SINE: Scalable Incomplete Network Embedding.
ICDM
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
SINE: Scalable Incomplete Network Embedding.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 Misc conf
Tackling Class Imbalance in Cyber Security Datasets.
IRI
Charles Wheelus, Elias Bou-Harb, Xingquan Zhu
2017 — conf
A cost sensitive approach to predicting 30-day hospital readmission in COPD patients.
BHI
Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu
2017 J jnl
Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients.
J. Big Data
Christopher Baechle, Ankur Agarwal, Xingquan Zhu
2017 J jnl
Boosting for graph classification with universum.
Knowl. Inf. Syst.
Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2017 — conf
CNFL: Categorical to Numerical Feature Learning for Clustering and Classification.
DSC
Eric Golinko, Thomas Sonderman, Xingquan Zhu
2017 — conf
Co-occurring evidence discovery for COPD patients using natural language processing.
BHI
Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu
2017 J jnl
Combining Structured Node Content and Topology Information for Networked Graph Clustering.
ACM Trans. Knowl. Discov. Data
Ting Guo, Jia Wu, Xingquan Zhu, Chengqi Zhang
2017 J jnl
Efficient sequential pattern mining with wildcards for keyphrase extraction.
Knowl. Based Syst.
Fei Xie, Xindong Wu, Xingquan Zhu
2017 — book
Fraud Prevention in Online Digital Advertising
Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne
2017 Misc conf
GFEL: Generalized Feature Embedding Learning Using Weighted Instance Matching.
IRI
Eric Golinko, Xingquan Zhu
2017 J jnl
Hashing Techniques: A Survey and Taxonomy.
ACM Comput. Surv.
Lianhua Chi, Xingquan Zhu
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 B conf
Latent topic ensemble learning for hospital readmission cost reduction.
IJCNN
Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu
2017 B conf
Localized sampling for hospital re-admission prediction with imbalanced sample distributions.
IJCNN
Xingquan Zhu, Jose Hurtado, Haicheng Tao
2017 A conf
MGAE: Marginalized Graph Autoencoder for Graph Clustering.
CIKM
Chun Wang, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang
2017 J jnl
Positive and Unlabeled Multi-Graph Learning.
IEEE Trans. Cybern.
Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Xindong Wu
2017 B conf
Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data.
EDBT
Bozhong Liu, Ling Chen, Xingquan Zhu, Ying Zhang, Chengqi Zhang, Weidong Qiu
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
Task Sensitive Feature Exploration and Learning for Multitask Graph Classification.
IEEE Trans. Cybern.
Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2017 Misc conf
ULTR-CTR: Fast Page Grouping Using URL Truncation for Real-Time Click Through Rate Estimation.
IRI
Hui Liu, Xingquan Zhu, Kristopher Kalish, Jeremy Kayne
2017 A* conf
User Profile Preserving Social Network Embedding.
IJCAI
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016 J jnl
Active exploration for large graphs.
Data Min. Knowl. Discov.
Meng Fang, Jie Yin, Xingquan Zhu
2016 A* conf
Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness.
IJCAI
Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu
2016 B conf
Co-clustering enterprise social networks.
IJCNN
Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang
2016 A conf
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks.
CIKM
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016 A* conf
Direct Discriminative Bag Mapping for Multi-Instance Learning.
AAAI
Jia Wu, Shirui Pan, Peng Zhang, Xingquan Zhu
2016 A* conf
Homophily, Structure, and Content Augmented Network Representation Learning.
ICDM
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016 J jnl
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification.
IEEE Trans. Knowl. Data Eng.
Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2016 A* conf
Joint structure feature exploration and regularization for multi-task graph classification.
ICDE
Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2016 J jnl
Multi-graph-view subgraph mining for graph classification.
Knowl. Inf. Syst.
Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2016 J jnl
SODE: Self-Adaptive One-Dependence Estimators for classification.
Pattern Recognit.
Jia Wu, Shirui Pan, Xingquan Zhu, Peng Zhang, Chengqi Zhang
2016 J jnl
Supervised sampling for networked data.
Signal Process.
Meng Fang, Jie Yin, Xingquan Zhu
2016 J jnl
Time-Variant Graph Classification.
CoRR
Haishuai Wang, Jia Wu, Xingquan Zhu, Chengqi Zhang
2016 J jnl
Topic discovery and future trend forecasting for texts.
J. Big Data
Jose Hurtado, Ankur Agarwal, Xingquan Zhu
2016 — conf
Towards a Big Data Architecture for Facilitating Cyber Threat Intelligence.
NTMS
Charles Wheelus, Elias Bou-Harb, Xingquan Zhu
2016 A* conf
TrGraph: Cross-network transfer learning via common signature subgraphs.
ICDE
Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016 A* conf
Tri-Party Deep Network Representation.
IJCAI
Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang
2015 C conf
Active Class Discovery by Querying Pairwise Label Homogeneity.
ICDS
Yifan Fu, Junbin Gao, Xingquan Zhu
2015 J jnl
An empirical study of morphing on behavior-based network traffic classification.
Secur. Commun. Networks
Buyun Qu, Zhibin Zhang, Xingquan Zhu, Dan Meng
2015 J jnl
Boosting for Multi-Graph Classification.
IEEE Trans. Cybern.
Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai
2015 J jnl
CogBoost: Boosting for Fast Cost-Sensitive Graph Classification.
IEEE Trans. Knowl. Data Eng.
Shirui Pan, Jia Wu, Xingquan Zhu
2015 J jnl
DCMS: A data analytics and management system for molecular simulation.
J. Big Data
Anand Kumar, Vladimir Grupcev, Meryem Berrada, Joseph C. Fogarty, Yi-Cheng Tu, Xingquan Zhu, Sagar A. Pandit, Yuni Xia
2015 J jnl
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.
IEEE Trans. Knowl. Data Eng.
Peng Zhang, Chuan Zhou, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo
2015 J jnl
Finding the best not the most: regularized loss minimization subgraph selection for graph classification.
Pattern Recognit.
Shirui Pan, Jia Wu, Xingquan Zhu, Guodong Long, Chengqi Zhang
2015 Misc conf
Gender Prediction in Random Chat Networks Using Topological Network Structures and Masked Content.
IRI
Michael Crawford, Xingquan Zhu
2015 J jnl
Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification.
IEEE Trans. Cybern.
Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang
2015 A* conf
Multi-Graph-View Learning for Complicated Object Classification.
IJCAI
Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2015 J jnl
Rating Knowledge Sharing in Cross-Domain Collaborative Filtering.
IEEE Trans. Cybern.
Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang
2015 J jnl
Reverse twin plant for efficient diagnosability testing and optimizing.
Eng. Appl. Artif. Intell.
Boyu Li, Ting Guo, Xingquan Zhu, Zhanshan Li
2015 J jnl
Self-adaptive attribute weighting for Naive Bayes classification.
Expert Syst. Appl.
Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Peng Zhang, Chengqi Zhang
2015 — conf
Social Network Privacy: Issues and Measurement.
WISE (2)
Isabel Casas, Jose Hurtado, Xingquan Zhu
2015 Misc conf
Topic Discovery and Future Trend Prediction Using Association Analysis and Ensemble Forecasting.
IRI
Jose Hurtado, Shihong Huang, Xingquan Zhu
2015 J jnl
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs.
IEEE Trans. Knowl. Data Eng.
Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2014 J jnl
Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach.
IEEE Trans. Knowl. Data Eng.
Yifan Fu, Bin Li, Xingquan Zhu, Chengqi Zhang
2014 J jnl
Active learning with uncertain labeling knowledge.
Pattern Recognit. Lett.
Meng Fang, Xingquan Zhu
2014 B conf
Attribute weighting: How and when does it work for Bayesian Network Classification.
IJCNN
Jia Wu, Zhihua Cai, Shirui Pan, Xingquan Zhu, Chengqi Zhang
2014 J jnl
Bag Constrained Structure Pattern Mining for Multi-Graph Classification.
IEEE Trans. Knowl. Data Eng.
Jia Wu, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2014 A conf
Context-Preserving Hashing for Fast Text Classification.
SDM
Lianhua Chi, Bin Li, Xingquan Zhu
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 B conf
Dual instance and attribute weighting for Naive Bayes classification.
IJCNN
Jia Wu, Shirui Pan, Zhihua Cai, Xingquan Zhu, Chengqi Zhang
2014 A conf
Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning.
CIKM
Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2014 A conf
Multi-Graph Learning with Positive and Unlabeled Bags.
SDM
Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2014 — conf
Multi-Instance Learning from Positive and Unlabeled Bags.
PAKDD (1)
Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2014 A* conf
Multi-graph-view Learning for Graph Classification.
ICDM
Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang
2014 A* conf
SNOC: Streaming Network Node Classification.
ICDM
Ting Guo, Xingquan Zhu, Jian Pei, Chengqi Zhang
2014 — conf
Super-Graph Classification.
PAKDD (1)
Ting Guo, Xingquan Zhu
2014 J jnl
The effect of varying levels of class distribution on bagging for different algorithms: An empirical study.
Int. J. Mach. Learn. Cybern.
Guohua Liang, Xingquan Zhu, Chengqi Zhang
2014 J jnl
Transfer Learning across Networks for Collective Classification.
CoRR
Meng Fang, Jie Yin, Xingquan Zhu
2014 Misc conf
Who wrote this paper? Learning for authorship de-identification using stylometric featuress.
IRI
Jose Hurtado, Napat Taweewitchakreeya, Xingquan Zhu
2014 Misc conf
iSRD: Spam review detection with imbalanced data distributions.
IRI
Hamzah Al Najada, Xingquan Zhu
2013 Misc ed.
2013 IEEE International Conference on Granular Computing, GrC 2013, Beijing, China, December 13-15, 2013
GrC
Shuliang Wang, Xingquan Zhu, Tingting He
2013 — conf
A Classifier Ensembling Approach for Imbalanced Social Link Prediction.
ICMLA (1)
Jose Hurtado, Napat Taweewitchakreeya, Xue Kong, Xingquan Zhu
2013 J jnl
A survey on instance selection for active learning.
Knowl. Inf. Syst.
Yifan Fu, Xingquan Zhu, Bin Li
2013 A conf
Active Class Discovery and Learning for Networked Data.
SDM
Meng Fang, Jie Yin, Chengqi Zhang, Xingquan Zhu
2013 J jnl
Active Learning With Optimal Instance Subset Selection.
IEEE Trans. Cybern.
Yifan Fu, Xingquan Zhu, Ahmed K. Elmagarmid
2013 A conf
Active exploration: simultaneous sampling and labeling for large graphs.
CIKM
Meng Fang, Jie Yin, Xingquan Zhu
2013 B conf
An Empirical Study of Robustness of Network Centrality Scores in Various Networks and Conditions.
ICTAI
Matthew Herland, Pablo Pastran, Xingquan Zhu
2013 B conf
Artificial immune system for attribute weighted Naive Bayes classification.
IJCNN
Jia Wu, Zhihua Cai, Sanyou Zeng, Xingquan Zhu
2013 — conf
Compression in Molecular Simulation Datasets.
IScIDE
Anand Kumar, Xingquan Zhu, Yi-Cheng Tu, Sagar Pandit
2013 J jnl
Editorial.
Int. J. Artif. Intell. Tools
Xingquan Zhu, Taghi M. Khoshgoftaar
2013 — conf
Fast Graph Stream Classification Using Discriminative Clique Hashing.
PAKDD (1)
Lianhua Chi, Bin Li, Xingquan Zhu
2013 A* conf
Graph Classification with Imbalanced Class Distributions and Noise.
IJCAI
Shirui Pan, Xingquan Zhu
2013 A conf
Graph hashing and factorization for fast graph stream classification.
CIKM
Ting Guo, Lianhua Chi, Xingquan Zhu
2013 A* conf
Graph stream classification using labeled and unlabeled graphs.
ICDE
Shirui Pan, Xingquan Zhu, Chengqi Zhang, Philip S. Yu
2013 J jnl
Hierarchical Sampling for Multi-Instance Ensemble Learning.
IEEE Trans. Knowl. Data Eng.
Hanning Yuan, Meng Fang, Xingquan Zhu
2013 — conf
Knowledge Transfer for Multi-labeler Active Learning.
ECML/PKDD (1)
Meng Fang, Jie Yin, Xingquan Zhu
2013 B conf
Machine Learning for Android Malware Detection Using Permission and API Calls.
ICTAI
Naser Peiravian, Xingquan Zhu
2013 A* conf
Multi-instance Multi-graph Dual Embedding Learning.
ICDM
Jia Wu, Xingquan Zhu, Chengqi Zhang, Zhihua Cai
2013 J jnl
Noisy but non-malicious user detection in social recommender systems.
World Wide Web
Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang
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 J jnl
PMBC: Pattern mining from biological sequences with wildcard constraints.
Comput. Biol. Medicine
Xindong Wu, Xingquan Zhu, Yu He, Abdullah N. Arslan
2013 B conf
Self-adaptive probability estimation for Naive Bayes classification.
IJCNN
Jia Wu, Zhihua Cai, Xingquan Zhu
2013 A* conf
Transfer Learning across Networks for Collective Classification.
ICDM
Meng Fang, Jie Yin, Xingquan Zhu
2013 A* conf
UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks.
ICDM
Chuan Zhou, Peng Zhang, Jing Guo, Xingquan Zhu, Li Guo
2013 A conf
Understanding the roles of sub-graph features for graph classification: an empirical study perspective.
CIKM
Ting Guo, Xingquan Zhu
2012 A* conf
Active Learning from Oracle with Knowledge Blind Spot.
AAAI
Meng Fang, Xingquan Zhu, Chengqi Zhang
2012 — conf
An empirical study of morphing on network traffic classification.
CHINACOM
Buyun Qu, Zhibin Zhang, Le Guo, Xingquan Zhu, Li Guo, Dan Meng
2012 A conf
CGStream: continuous correlated graph query for data streams.
CIKM
Shirui Pan, Xingquan Zhu
2012 A conf
Continuous top-k query for graph streams.
CIKM
Shirui Pan, Xingquan Zhu
2012 B conf
I don't know the label: Active learning with blind knowledge.
ICPR
Meng Fang, Xingquan Zhu
2012 J jnl
Inverse matrix-free incremental proximal support vector machine.
Decis. Support Syst.
Zhenfeng Zhu, Xingquan Zhu, Yue-Fei Guo, Yangdong Ye, Xiangyang Xue
2012 A* conf
Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams.
ICDM
Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang
2012 A conf
Parallel proximal support vector machine for high-dimensional pattern classification.
CIKM
Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue
2012 A* conf
Self-Taught Active Learning from Crowds.
ICDM
Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu
2012 J jnl
Special issue on data mining applications and case study.
Neurocomputing
Xingquan Zhu
2012 A conf
TCSST: transfer classification of short & sparse text using external data.
CIKM
Guodong Long, Ling Chen, Xingquan Zhu, Chengqi Zhang
2012 B conf
Top-k correlated subgraph query for data streams.
ICPR
Shirui Pan, Xingquan Zhu, Meng Fang
2011 A* conf
An Empirical Study of Bagging Predictors for Different Learning Algorithms.
AAAI
Guohua Liang, Xingquan Zhu, Chengqi Zhang
2011 — conf
An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution.
Australasian Conference on Artificial Intelligence
Guohua Liang, Xingquan Zhu, Chengqi Zhang
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 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 J jnl
Cross-Domain Semi-Supervised Learning Using Feature Formulation.
IEEE Trans. Syst. Man Cybern. Part B
Xingquan Zhu
2011 J jnl
Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model.
Int. J. Data Warehous. Min.
Donghong Sun, Li Liu, Peng Zhang, Xingquan Zhu, Yong Shi
2011 A conf
Do they belong to the same class: active learning by querying pairwise label homogeneity.
CIKM
Yifan Fu, Bin Li, Xingquan Zhu, Chengqi Zhang
2011 A* conf
Enabling Fast Lazy Learning for Data Streams.
ICDM
Peng Zhang, Byron J. Gao, Xingquan Zhu, Li Guo
2011 A* conf
Enabling fast prediction for ensemble models on data streams.
KDD
Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo
2011 A* conf
How Does Research Evolve? Pattern Mining for Research Meme Cycles.
ICDM
Dan He, Xingquan Zhu, Douglas Stott Parker Jr.
2011 A* conf
Large Scale Diagnosis Using Associations between System Outputs and Components.
AAAI
Ting Guo, Zhanshan Li, Ruizhi Guo, Xingquan Zhu
2011 J jnl
Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints.
Comput. Intell.
Dan He, Xingquan Zhu, Xindong Wu
2011 J jnl
One-class learning and concept summarization for data streams.
Knowl. Inf. Syst.
Xingquan Zhu, Wei Ding, Philip S. Yu, Chengqi Zhang
2011 A* conf
Optimal Subset Selection for Active Learning.
AAAI
Yifan Fu, Xingquan Zhu
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 — conf
Self-adjust Local Connectivity Analysis for Spectral Clustering.
PAKDD (1)
Hui Wu, Guangzhi Qu, Xingquan Zhu
2011 A* conf
Tracking User-Preference Varying Speed in Collaborative Filtering.
AAAI
Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue, Xingquan Zhu
2011 A conf
Transfer active learning.
CIKM
Zhenfeng Zhu, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, Xiangyang Xue
2010 J jnl
Active Learning From Stream Data Using Optimal Weight Classifier Ensemble.
IEEE Trans. Syst. Man Cybern. Part B
Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi
2010 A* conf
Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams.
ICDM
Peng Zhang, Xingquan Zhu, Jianlong Tan, Li Guo
2010 A* conf
Ensemble pruning via individual contribution ordering.
KDD
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh C. Bongard
2010 J jnl
Feature Selection for Datasets with Imbalanced Class Distributions.
Int. J. Softw. Eng. Knowl. Eng.
Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu, Ramaswamy Narayanan
2010 J jnl
Multiple criteria programming models for VIP E-Mail behavior analysis.
Web Intell. Agent Syst.
Peng Zhang, Xingquan Zhu, Zhiwang Zhang, Yong Shi
2010 J jnl
Normalized dimensionality reduction using nonnegative matrix factorization.
Neurocomputing
Zhenfeng Zhu, Yue-Fei Guo, Xingquan Zhu, Xiangyang Xue
2010 — conf
Rule Synthesizing from Multiple Related Databases.
PAKDD (2)
Dan He, Xindong Wu, Xingquan Zhu
2010 A conf
SKIF: a data imputation framework for concept drifting data streams.
CIKM
Peng Zhang, Xingquan Zhu, Jianlong Tan, Li Guo
2010 C ed.
The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010
ICMLA
Sorin Draghici, Taghi M. Khoshgoftaar, Vasile Palade, Witold Pedrycz, M. Arif Wani, Xingquan Zhu
2010 A conf
Transfer incremental learning for pattern classification.
CIKM
Zhenfeng Zhu, Xingquan Zhu, Yue-Fei Guo, Xiangyang Xue
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
Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models.
ICCS (2)
Peng Zhang, Xingquan Zhu, Yong Shi
2009 B conf
Error Detection and Uncertainty Modeling for Imprecise Data.
ICTAI
Dan He, Xingquan Zhu, Xindong Wu
2009 Misc conf
Feature Selection with biased Sample Distributions.
IRI
Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu
2009 — conf
Gene Selection for Microarray Expression Data with Imbalanced Sample Distributions.
IJCBS
Abu H. M. Kamal, Xingquan Zhu, Ramaswamy Narayanan
2009 A* conf
Mining Data Streams with Labeled and Unlabeled Training Examples.
ICDM
Peng Zhang, Xingquan Zhu, Li Guo
2009 A* conf
Multiple Information Sources Cooperative Learning.
IJCAI
Xingquan Zhu, Ruoming Jin
2009 — conf
Parallel Selection of Informative Genes for Classification.
BICoB
Michael Slavik, Xingquan Zhu, Imad Mahgoub, Muhammad Shoaib
2009 — ch.
Quantitative Association Rules.
Encyclopedia of Database Systems
Xingquan Zhu
2009 — conf
The Impact of Gene Selection on Imbalanced Microarray Expression Data.
BICoB
Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu, Muhammad Shoaib
2009 J jnl
Ubiquitous Mining with Interactive Data Mining Agents.
J. Comput. Sci. Technol.
Xindong Wu, Xingquan Zhu, Qijun Chen, Fei-Yue Wang
2009 A* conf
Vague One-Class Learning for Data Streams.
ICDM
Xingquan Zhu, Xindong Wu, Chengqi Zhang
2009 J jnl
vEye: behavioral footprinting for self-propagating worm detection and profiling.
Knowl. Inf. Syst.
Xuxian Jiang, Xingquan Zhu
2008 J jnl
A lazy bagging approach to classification.
Pattern Recognit.
Xingquan Zhu, Ying Yang
2008 Misc conf
An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis.
IRI
Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu, Yong Shi
2008 B conf
Bagging very weak learners with lazy local learning.
ICPR
Xingquan Zhu, Chengyi Bao, Weidong Qiu
2008 A* conf
Categorizing and mining concept drifting data streams.
KDD
Peng Zhang, Xingquan Zhu, Yong Shi
2008 A* conf
Cleansing Noisy Data Streams.
ICDM
Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi
2008 J jnl
Conceptual equivalence for contrast mining in classification learning.
Data Knowl. Eng.
Ying Yang, Xindong Wu, Xingquan Zhu
2008 Misc conf
Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction.
FLAIRS
Chinar C. Shah, Xingquan Zhu, Taghi M. Khoshgoftaar, Justin Beyer
2008 — ch.
Data Mining.
Wiley Encyclopedia of Computer Science and Engineering
Xindong Wu, Yan Zhang, Xingquan Zhu
2008 J jnl
Editorial.
Int. J. Softw. Informatics
Xingquan Zhu, Chengqi Zhang, David L. Olson
2008 Misc conf
Imputation-boosted collaborative filtering using machine learning classifiers.
SAC
Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner
2008 J jnl
MMIS07, 08: mining multiple information sources workshop report.
SIGKDD Explor.
Xingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal
2008 J jnl
Mining With Noise Knowledge: Error-Aware Data Mining.
IEEE Trans. Syst. Man Cybern. Part A
Xindong Wu, Xingquan Zhu
2008 — conf
Select Objective Functions for Multiple Criteria Programming Classification.
Web Intelligence/IAT Workshops
Peng Zhang, Yingjie Tian, Zhiwang Zhang, Aihua Li, Xingquan Zhu
2008 Misc conf
VCI predictors: Voting on classifications from imputed learning sets.
IRI
Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu
2008 B conf
VoB predictors: Voting on bagging classifications.
ICPR
Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu
2008 Misc conf
iVESTA: an interactive visualization and evaluation system for drive test data.
SAC
Yongsuk Lee, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu
2007 A* conf
Active Learning from Data Streams.
ICDM
Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi
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 A* conf
Discovering Relational Patterns across Multiple Databases.
ICDE
Xingquan Zhu, Xindong Wu
2007 J jnl
Editorial: Special issue on mining low-quality data.
Knowl. Inf. Syst.
Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang
2007 — conf
Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts.
Web Intelligence
Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Xingquan Zhu
2007 A* conf
Lazy Bagging for Classifying Imbalanced Data.
ICDM
Xingquan Zhu
2007 A* conf
Mining Complex Patterns across Sequences with Gap Requirements.
IJCAI
Xingquan Zhu, 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 Misc conf
Pushing Frequency Constraint to Utility Mining Model.
International Conference on Computational Science (3)
Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan Zhu
2007 — conf
Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction.
ISVC (2)
Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Andres Folleco
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 Misc conf
Using WordNet to Disambiguate Word Senses for Text Classification.
International Conference on Computational Science (3)
Ying Liu, Peter Scheuermann, Xingsen Li, Xingquan Zhu
2006 — conf
Accelerated Kernel Feature Analysis.
CVPR (1)
Xianhua Jiang, Yuichi Motai, Robert R. Snapp, Xingquan Zhu
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
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 Misc conf
Error awareness data mining.
GrC
Xingquan Zhu, Xindong Wu
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 — conf
Scalable Representative Instance Selection and Ranking.
ICPR (3)
Xingquan Zhu, Xindong Wu
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
InsightVideo: toward hierarchical video content organization for efficient browsing, summarization and retrieval.
IEEE Trans. Multim.
Xingquan Zhu, Ahmed K. Elmagarmid, Xiangyang Xue, Lide Wu, Ann Christine Catlin
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 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 J jnl
Class Noise vs. Attribute Noise: A Quantitative Study.
Artif. Intell. Rev.
Xingquan Zhu, Xindong Wu
2004 J jnl
ClassView: hierarchical video shot classification, indexing, and accessing.
IEEE Trans. Multim.
Jianping Fan, Ahmed K. Elmagarmid, Xingquan Zhu, Walid G. Aref, Lide 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 — 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 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 C conf
OIDM: Online Interactive Data Mining.
IEA/AIE
Qijun Chen, Xindong Wu, Xingquan Zhu
2004 J jnl
VDBMS: A testbed facility for research in video database benchmarking.
Multim. Syst.
Walid G. Aref, Ann Christine Catlin, Ahmed K. Elmagarmid, Jianping Fan, Moustafa A. Hammad, Ihab F. Ilyas, Mirette S. Marzouk, Sunil Prabhakar, Yi-Cheng Tu, Xingquan Zhu
2003 J jnl
A hierarchical access control model for video database systems.
ACM Trans. Inf. Syst.
Elisa Bertino, Jianping Fan, Elena Ferrari, Mohand-Said Hacid, Ahmed K. Elmagarmid, Xingquan Zhu
2003 J jnl
Accessing Video Contents through Key Objects over IP.
Multim. Tools Appl.
Jianping Fan, Xingquan Zhu, Kayvan Najarian, Lide Wu
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
Medical Video Mining for Efficient Database Indexing, Management and Access.
ICDE
Xingquan Zhu, Walid G. Aref, Jianping Fan, Ann Christine Catlin, Ahmed K. Elmagarmid
2003 A* conf
Mining Video Associations for Efficient Database Management.
IJCAI
Xingquan Zhu, Xindong Wu
2003 A conf
Semantic principal video shot classification via mixture Gaussian.
ICME
Hangzai Luo, Jianping Fan, Jing Xiao, Xingquan Zhu
2003 A conf
Sequential association mining for video summarization.
ICME
Xingquan Zhu, Xindong Wu
2002 A* conf
A Distributed Database Server for Continuous Media.
ICDE
Walid G. Aref, Ann Christine Catlin, Ahmed K. Elmagarmid, Jianping Fan, J. Guo, Moustafa A. Hammad, Ihab F. Ilyas, Mirette S. Marzouk, Sunil Prabhakar, Abdelmounaam Rezgui, S. Teoh, Evimaria Terzi, Yi-Cheng Tu, Athena Vakali, Xingquan Zhu
2002 — conf
A Video Database Management System for Advancing Video Database Research.
Multimedia Information Systems
Walid G. Aref, Ann Christine Catlin, Jianping Fan, Ahmed K. Elmagarmid, Moustafa A. Hammad, Ihab F. Ilyas, Mirette S. Marzouk, Xingquan Zhu
2002 — conf
ClassMiner: Mining Medical Video Content Structure and Events Towards Efficient Access and Scalable Skimming.
DMKD
Xingquan Zhu, Jianping Fan, Walid G. Aref, Ahmed K. Elmagarmid
2002 A* conf
ClassMiner: mining medical video for scalable skimming and summarization.
ACM Multimedia
Xingquan Zhu, Jianping Fan, Mohand-Said Hacid, Ahmed K. Elmagarmid
2002 — conf
Hierarchical video summarization for medical data.
Storage and Retrieval for Media Databases
Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, Walid G. Aref
2002 J jnl
Model-Based Video Classification toward Hierarchical Representation, Indexing and Access.
Multim. Tools Appl.
Jianping Fan, Xingquan Zhu, Mohand-Said Hacid, Ahmed K. Elmagarmid
2002 — conf
Qualitative Camera Motion Classification for Content-Based Video Indexing.
IEEE Pacific Rim Conference on Multimedia
Xingquan Zhu, Xiangyang Xue, Jianping Fan, Lide Wu
2002 — conf
Seeded image segmentation for content-based image retrieval application.
Storage and Retrieval for Media Databases
Jianping Fan, Mathurin Body, Xingquan Zhu, Mohand-Said Hacid, Essam A. El-Kwae
2002 — conf
Semi-automatic Video Content Annotation.
IEEE Pacific Rim Conference on Multimedia
Xingquan Zhu, Jianping Fan, Xiangyang Xue, Lide Wu, Ahmed K. Elmagarmid
2002 — conf
Towards facial feature extraction and verification for omni-face detection in video/images.
ICIP (2)
Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid
2001 — conf
Automatic Scene Detection in News Program by Integrating Visual Feature and Rules.
IEEE Pacific Rim Conference on Multimedia
Xingquan Zhu, Lide Wu, Xiangyang Xue, Xiaoye Lu, Jianping Fan
2001 J jnl
Automatic model-based semantic object extraction algorithm.
IEEE Trans. Circuits Syst. Video Technol.
Jianping Fan, Xingquan Zhu, Lide Wu
2001 J jnl
MultiView: Multilevel video content representation and retrieval.
J. Electronic Imaging
Jianping Fan, Walid G. Aref, Ahmed K. Elmagarmid, Mohand-Said Hacid, Mirette S. Marzouk, Xingquan Zhu
2001 J jnl
New query refinement and semantics integrated image retrieval system with semiautomatic annotation scheme.
J. Electronic Imaging
Xingquan Zhu, HongJiang Zhang, Liu Wenyin, Chunhui Hu, Lide Wu
2001 — conf
Seeded Semantic Object Generation toward Content-Based Video Indexing.
IEEE Pacific Rim Conference on Multimedia
Jianping Fan, Xingquan Zhu, Lide Wu
2000 A* conf
A unified framework for semantics and feature based relevance feedback in image retrieval systems.
ACM Multimedia
Ye Lu, Chunhui Hu, Xingquan Zhu, HongJiang Zhang, Qiang Yang