Xingquan Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 158

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

ICDM

IEEE Trans. Cybern.

Publications

Yufei Jin, Richard Gao, Yi He, Xingquan Zhu
GLDL: Graph Label Distribution Learning. AAAI (2024)
Youxi Wu, Zhen Wang, Yan Li, Yingchun Guo, He Jiang, Xingquan Zhu, Xindong Wu
Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series. ACM Trans. Manag. Inf. Syst. 15 (2) (2024)
Youxi Wu, Zhen Wang, Yan Li, Yingchun Guo, He Jiang, Xingquan Zhu, Xindong Wu
Co-occurrence order-preserving pattern mining. CoRR (2024)
Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Yufei Jin, Xingquan Zhu
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks. CoRR (2024)
Zhiqiang Wang, Dejia Xu, Rana Muhammad Shahroz Khan, Yanbin Lin, Zhiwen Fan, Xingquan Zhu
LLMGeo: Benchmarking Large Language Models on Image Geolocation In-the-wild. CoRR (2024)
Haicheng Tao, Jie Cao, Lei Chen, Hong-Liang Sun, Yong Shi, Xingquan Zhu
Black-box attacks on dynamic graphs via adversarial topology perturbations. Neural Networks 171 (2024)
Man Wu, Xin Zheng, Qin Zhang, Xiao Shen, Xiong Luo, Xingquan Zhu, Shirui Pan
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning. CoRR (2024)
Divya Gangwani, Xingquan Zhu
Modeling and prediction of business success: a survey. Artif. Intell. Rev. 57 (2) (2024)
Mostapha Alsaidi, Muhammad Tanveer Jan, Ahmed Altaher, Hanqi Zhuang, Xingquan Zhu
Tackling the class imbalanced dermoscopic image classification using data augmentation and GAN. Multim. Tools Appl. 83 (16) (2024)
Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu
COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu
Hierarchical Feature Selection Based on Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu
OPP-Miner: Order-Preserving Sequential Pattern Mining for Time Series. IEEE Trans. Cybern. 53 (5) (2023)
Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. CoRR (2023)
Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu
Top-k contrast order-preserving pattern mining for time series classification. CoRR (2023)
Boyu Li, Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation. ECML/PKDD (4) (2023)
Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
Repetitive nonoverlapping sequential pattern mining. CoRR (2023)
Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation. WSDM (2023)
Divya Gangwani, Xingquan Zhu, Borko Furht
Exploring investor-business-market interplay for business success prediction. J. Big Data 10 (1) (2023)
Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang
On Computing Paradigms - Where Will Large Language Models Be Going. ICDM (2023)
Zhiqiang Wang, Yiran Pang, Cihan Ulus, Xingquan Zhu
Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel. CoRR (2023)
Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
Editorial: Special Issue on Transfer Learning. Neural Process. Lett. 55 (3) (2023)
Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. NeurIPS (2023)
Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu
OPR-Miner: Order-Preserving Rule Mining for Time Series. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Min Shi, Yufei Tang, Xingquan Zhu, Yuan Zhuang, Maohua Lin, Jianxun Liu
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning. IEEE Trans. Cybern. 52 (8) (2022)
Man Wu, Xingquan Zhu
Temporal Adaptive Aggregation Network for Dynamic Graph Learning. Big Data (2022)
Zhabiz Gharibshah, Xingquan Zhu
Local Contrastive Feature learning for Tabular Data. CoRR (2022)
Man Wu, Shirui Pan, Xingquan Zhu
Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network. IEEE Trans. Emerg. Top. Comput. Intell. 6 (5) (2022)
Xingquan Zhu, Sanjay Ranka
Message from the ICDM 2022 Program Committee Chairs. ICDM (Workshops) (2022)
Shuwen Wang, Xingquan Zhu
Predictive Modeling of Hospital Readmission: Challenges and Solutions. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
Editorial: special issue on multi-view learning. Appl. Intell. 52 (13) (2022)
Min Shi, Yufei Tang, Xingquan Zhu
Topology and Content Co-Alignment Graph Convolutional Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Min Shi, Yufei Tang, Xingquan Zhu, Yu Huang, David A. Wilson, Yuan Zhuang, Jianxun Liu
Genetic-GNN: Evolutionary architecture search for Graph Neural Networks. Knowl. Based Syst. 247 (2022)
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
Multi-Label Graph Convolutional Network Representation Learning. IEEE Trans. Big Data 8 (5) (2022)
Cihan Ulus, Zhiqiang Wang, Sheikh M. A. Iqbal, K. Md. Salman Khan, Xingquan Zhu
Transfer Naïve Bayes Learning using Augmentation and Stacking for SMS Spam Detection. ICKG (2022)
Youxi Wu, Qian Hu, Yan Li, Lei Guo, Xingquan Zhu, Xindong Wu
OPP-Miner: Order-preserving sequential pattern mining. CoRR (2022)
Yu Huang, Yufei Tang, Xingquan Zhu, Hanqi Zhuang, Laurent M. Chérubin
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. IEEE Access 10 (2022)
Shuwen Wang, Xingquan Zhu
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction. Health Inf. Sci. Syst. 10 (1) (2022)
Xindong Wu, Xingquan Zhu, Minghui Wu
The Evolution of Search: Three Computing Paradigms. ACM Trans. Manag. Inf. Syst. 13 (2) (2022)
Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu
OPR-Miner: Order-preserving rule mining for time series. CoRR (2022)
Yufei Jin, Xingquan Zhu
Predictive Masking for Semi-Supervised Graph Contrastive Learning. Big Data (2022)
Min Shi, Yuan Zhuang, Yufei Tang, Maohua Lin, Xingquan Zhu, Jianxun Liu
Web Service Network Embedding Based on Link Prediction and Convolutional Learning. IEEE Trans. Serv. Comput. 15 (6) (2022)
Youxi Wu, Yuehua Wang, Yan Li, Xingquan Zhu, Xindong Wu
Top-k Self-Adaptive Contrast Sequential Pattern Mining. IEEE Trans. Cybern. 52 (11) (2022)
Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo
Knowledge Graph Embedding by Double Limit Scoring Loss. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu
Deep Forest with Hashing Screening and Window Screening. CoRR (2022)
Shuwen Wang, Xingquan Zhu, Weiping Ding, Amir Alipour Yengejeh
Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View. IEEE CAA J. Autom. Sinica 9 (8) (2022)
Zhabiz Gharibshah, Xingquan Zhu
Local Contrastive Feature Learning for Tabular Data. CIKM (2022)
Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, He Jiang, Xingquan Zhu, Xindong Wu
HW-Forest: Deep Forest with Hashing Screening and Window Screening. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Qiang Zhu, Xingquan Zhu, Yicheng Tu
Introduction to special issue on scientific and statistical data management in the age of AI 2021. Distributed Parallel Databases 40 (2) (2022)
Yaojin Lin, Qinghua Hu, Jinghua Liu, Xingquan Zhu, Xindong Wu
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble. ACM Trans. Knowl. Discov. Data 16 (1) (2022)
Youxi Wu, Lanfang Luo, Yan Li, Lei Guo, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Yu Huang, Yufei Tang, Xingquan Zhu, Min Shi, Ali Muhamed Ali, Hanqi Zhuang, Laurent M. Chérubin
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. CoRR (2021)
Youxi Wu, Meng Geng, Yan Li, Lei Guo, Zhao Li, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu
HANP-Miner: High average utility nonoverlapping sequential pattern mining. Knowl. Based Syst. 229 (2021)
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
Weak Supervision Network Embedding for Constrained Graph Learning. PAKDD (1) (2021)
Shuwen Wang, Xingquan Zhu
Predictive Modeling of Hospital Readmission: Challenges and Solutions. CoRR (2021)
Shuliang Wang, Qi Li, Chuanfeng Zhao, Xingquan Zhu, Hanning Yuan, Tianru Dai
Extreme clustering - A clustering method via density extreme points. Inf. Sci. 542 (2021)
Jose Delgado, Xingquan Zhu, Karin Scarpinato, Jason O. Hallstrom, Terje Hill
Understanding and Predicting Faculty Success in Winning Grant Awards. IEEE BigData (2021)
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
Graph Compression Networks. IEEE BigData (2021)
Magdalyn E. Elkin, Xingquan Zhu
Community and topic modeling for infectious disease clinical trial recommendation. Netw. Model. Anal. Health Informatics Bioinform. 10 (1) (2021)
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
Learning Graph Neural Networks with Positive and Unlabeled Nodes. CoRR (2021)
Yu Huang, James Li, Min Shi, Hanqi Zhuang, Xingquan Zhu, Laurent M. Chérubin, James H. VanZwieten, Yufei Tang
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting. CoRR (2021)
Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu
GAEN: Graph Attention Evolving Networks. IJCAI (2021)
Zhabiz Gharibshah, Xingquan Zhu
User Response Prediction in Online Advertising. ACM Comput. Surv. 54 (3) (2021)
Yu Huang, Chao Zhang, Jaswanth Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, Sthitie Bom
GraSSNet: Graph Soft Sensing Neural Networks. CoRR (2021)
Zhabiz Gharibshah, Xingquan Zhu
User Response Prediction in Online Advertising. CoRR (2021)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Search Efficient Binary Network Embedding. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Divya Gangwani, Qianxin Liang, Shuwen Wang, Xingquan Zhu
An Empirical Study of Deep Learning Frameworks for Melanoma Cancer Detection using Transfer Learning and Data Augmentation. ICBK (2021)
Yu Huang, Chao Zhang, Jaswanth Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, Sthitie Bom
GraSSNet: Graph Soft Sensing Neural Networks. IEEE BigData (2021)
Man Wu, Shirui Pan, Xingquan Zhu
OpenWGL: open-world graph learning for unseen class node classification. Knowl. Inf. Syst. 63 (9) (2021)
Man Wu, Shirui Pan, Lan Du, Xingquan Zhu
Learning Graph Neural Networks with Positive and Unlabeled Nodes. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Man Wu, Shirui Pan, Xingquan Zhu
OpenWGL: Open-World Graph Learning. ICDM (2020)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Network Representation Learning: A Survey. IEEE Trans. Big Data 6 (1) (2020)
Haishuai Wang, Jia Wu, Xingquan Zhu, Yixin Chen, Chengqi Zhang
Time-Variant Graph Classification. IEEE Trans. Syst. Man Cybern. Syst. 50 (8) (2020)
Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu
Unsupervised Domain Adaptive Graph Convolutional Networks. WWW (2020)
Zhabiz Gharibshah, Xingquan Zhu
TriNE: Network Representation Learning for Tripartite Heterogeneous Networks. CoRR (2020)
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu
Topic-aware Web Service Representation Learning. ACM Trans. Web 14 (2) (2020)
Zhabiz Gharibshah, Xingquan Zhu
TriNE: Network Representation Learning for Tripartite Heterogeneous Networks. ICKG (2020)
Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu
A survey and taxonomy of adversarial neural networks for text-to-image synthesis. WIREs Data Mining Knowl. Discov. 10 (4) (2020)
Christian Garbin, Xingquan Zhu, Oge Marques
Dropout vs. batch normalization: an empirical study of their impact to deep learning. Multim. Tools Appl. 79 (19-20) (2020)
Huimei Han, Xingquan Zhu, Ying Li
Generalizing Long Short-Term Memory Network for Deep Learning from Generic Data. ACM Trans. Knowl. Discov. Data 14 (2) (2020)
Zhabiz Gharibshah, Xingquan Zhu, Arthur Hainline, Michael Conway
Deep Learning for User Interest and Response Prediction in Online Display Advertising. Data Sci. Eng. 5 (1) (2020)
Min Shi, David A. Wilson, Xingquan Zhu, Yu Huang, Yuan Zhuang, Jianxun Liu, Yufei Tang
Evolutionary Architecture Search for Graph Neural Networks. CoRR (2020)
Yuping Su, Xingquan Zhu, Bei Dong, Yumei Zhang, Xiaojun Wu
MedFroDetect: Medicare Fraud Detection with Extremely Imbalanced Class Distributions. FLAIRS Conference (2020)
Min Shi, Yufei Tang, Xingquan Zhu
Topology and Content Co-Alignment Graph Convolutional Learning. CoRR (2020)
Lukasz Chmielewski, Rafina Amin, Anak Wannaphaschaiyong, Xingquan Zhu
Network Analysis of Technology Stocks using Market Correlation. ICKG (2020)
Min Shi, Yufei Tang, Xingquan Zhu
MLNE: Multi-Label Network Embedding. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu, Haibo He
Topical network embedding. Data Min. Knowl. Discov. 34 (1) (2020)
Shuwen Wang, Magdalyn E. Elkin, Xingquan Zhu
Imbalanced Learning for Hospital Readmission Prediction using National Readmission Database. ICKG (2020)
Min Shi, Yufei Tang, Xingquan Zhu, David A. Wilson, Jianxun Liu
Multi-Class Imbalanced Graph Convolutional Network Learning. IJCAI (2020)
Anak Wannaphaschaiyong, Xingquan Zhu
COPD Disease Classification Using Network Embedding with Synthetic Relationships. FLAIRS Conference (2020)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Search Efficient Binary Network Embedding. CoRR (2019)
Eric Golinko, Xingquan Zhu
Generalized Feature Embedding for Supervised, Unsupervised, and Online Learning Tasks. Inf. Syst. Frontiers 21 (1) (2019)
Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du
Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. CIKM (2019)
Bozhong Liu, Ling Chen, Xingquan Zhu, Weidong Qiu
Encrypted data indexing for the secure outsourcing of spectral clustering. Knowl. Inf. Syst. 60 (3) (2019)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Attributed network embedding via subspace discovery. Data Min. Knowl. Discov. 33 (6) (2019)
Ting Guo, Shirui Pan, Xingquan Zhu, Chengqi Zhang
CFOND: Consensus Factorization for Co-Clustering Networked Data. IEEE Trans. Knowl. Data Eng. 31 (4) (2019)
Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
Discriminative Sample Generation for Deep Imbalanced Learning. IJCAI (2019)
Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan
Domain-Adversarial Graph Neural Networks for Text Classification. ICDM (2019)
Magdalyn E. Elkin, Whitney Angelica Andrews, Xingquan Zhu
Network Analysis and Recommendation for Infectious Disease Clinical Trial Research. BCB (2019)
Huimei Han, Ying Li, Xingquan Zhu
Convolutional neural network learning for generic data classification. Inf. Sci. 477 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xingquan Zhu