Publications

Book

鈥淴ingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, and Jeremy Kayne,听, SpringerBriefs in Computer Science, ISBN 978-3-319-56793-8, June 2017.鈥�

Conferences

• Min Shi, Yufei Tang, Xingquan Zhu, David Wilson, Jianxun Liu, Multi-Class Imbalanced Graph Convolutional Network Learning,听In Proc. of the 29th International Joint Conference on Artificial Intelligence (), Yokohama, Japan, July 11-17, 2020.
• Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu, Unsupervised Domain Adaptive Graph Convolutional Networks. In Proc. of the 29th World Wide Web Conference (), Taipei, Taiwan, April 20-24, 2020.听
• Anak Wannaphaschaiyong, Xingquan Zhu,听COPD Disease Classification using Network Embedding with Synthetic Relationships,听In Proc. of the 33rd International FLAIRS (Florida Artificial Intelligence Research Society) Conference (), North Miami Beach, Florida, USA, May 17-20, 2020.
• Yuping Su听, Xingquan Zhu听, Bei Dong听, Yumei Zhang,听听Xiaojun Wu,听MedFroDetect: Medicare Fraud Detection with Extremely Imbalanced Class听Distributions. In Proc. of the 33rd International FLAIRS (Florida Artificial Intelligence Research Society) Conference (), North Miami Beach, Florida, USA, May 17-20, 2020.听
• Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan,听Domain-Adversarial Graph Neural Networks for Text Classification,听In Proc. of the 19th IEEE International Conference on Data Mining (), Beijing, China, Nov 8-11, 2019.
• Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, and Bin Wang,听Relation Structure-Aware Heterogeneous Graph Neural Network, In Proc. of the 19th IEEE International Conference on Data Mining (), Beijing, China, Nov 8-11, 2019.
• Man Wu, Shirui Pan, Lan Du, Ivor Tsang, Xingquan Zhu, Bo Du,听Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning, In Proc. of the听28th ACM International Conference on Information and Knowledge Management (), Beijing, China, Nov 3-7, 2019.
• Magdalyn Elkin, Whitney A.J. Andrews, Xingquan Zhu.听Network Analysis and Recommendation for Infectious Disease Clinical Trial Research. In Proc. of the听10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (),听Niagara Falls, New York, September 7-10, 2019.
• Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen.听Discriminative Sample Generation for Deep Imbalanced Learning. In Proc. of the 28th International Joint Conference on Artificial Intelligence (), Macao, China, August 10-16, 2019.
• Huimei Han听,听Xingquan Zhu听,听Ying Li.听听EDLT: Enabling Deep Learning for Generic Data Classification. In Proc. of the 18th IEEE International Conference on Data Mining (听), pp.听147-156, November 17-20, Singapore, 2018.
• Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang. SINE: Scalable Incomplete Network Embedding. In Proc. of the 18th IEEE International Conference on Data Mining (听听), pp.737-746, November 17-20, Singapore, 2018.听
• Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang. Deep Structure Learning for Fraud Detection. In Proc. of the 18th IEEE International Conference on Data Mining (听), pp.567-576, November 17-20, Singapore, 2018.听

Journal

• Min Shi, Yufei Tang, Xingquan Zhu, JianxunLiu,听Topic-aware Web Service Representation Learning.听 , 14(2):听9:1-9:23 (2020)
• Huimei Han, Xingquan Zhu, Ying Li,听Generalizing Long Short-Term Memory Network for Deep Learning from Generic Data,听 , 13:1-13:28, 2020.
• Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang, Network Representation Learning: A Survey,听 , 6(1):3-28, 2020.
• Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu, Haibo He,听Topical Network Embedding,听 , 34(1):75-100, 2020.
• Min Shi, Yufei Tang, Xingquan Zhu,听MLNE: Multi-Label Network Embedding,听 , Accepted, In press, 2019 (DOI:听)
• Christian Garbin, Xingquan Zhu, Oge Marques, Dropout听vs.听batch normalization: an empirical study of their impact to deep learning.听 听(2020). https://doi.org/10.1007/s11042-019-08453-9
• Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu,听A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis,听 , Accepted, In press, 2019.
• Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang. Attributed Network Embedding via Subspace Discovery,听 听, 33(6):1953-1980, 2019.
• Huimei Han, Ying Li, Xingquan Zhu.听Convolutional Neural Network Learning for Generic Data Classification,听 听, vol.477, pp.448-465, March 2019.