Publications

Journal

Min Shi, Yufei Tang, Xingquan Zhu, JianxunLiu, Topic-aware Web Service Representation Learning. ACM Transactions on the Web , 14(2): 9:1-9:23 (2020)
Huimei Han, Xingquan Zhu, Ying Li, Generalizing Long Short-Term Memory Network for Deep Learning from Generic Data, ACM Transactions on Knowledge Discovery from Data , 13:1-13:28, 2020.
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang, Network Representation Learning: A Survey, IEEE Transactions on Big Data , 6(1):3-28, 2020.
Min Shi, Yufei Tang, Xingquan Zhu, Jianxun Liu, Haibo He, Topical Network Embedding, Data Mining and Knowledge Discovery , 34(1):75-100, 2020.
Min Shi, Yufei Tang, Xingquan Zhu, MLNE: Multi-Label Network Embedding, IEEE Trans. on Neural Networks and Learning Systems , Accepted, In press, 2019 (DOI: 10.1109/TNNLS.2019.2945869)
Christian Garbin, Xingquan Zhu, Oge Marques, Dropout vs. batch normalization: an empirical study of their impact to deep learning. Multimedia Tools and Applications (2020). https://doi.org/10.1007/s11042-019-08453-9
Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu, A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis, WIREs Data Mining Knowledge Discovery , Accepted, In press, 2019.
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang. Attributed Network Embedding via Subspace Discovery, Data Mining and Knowledge Discovery , 33(6):1953-1980, 2019.
Huimei Han, Ying Li, Xingquan Zhu. Convolutional Neural Network Learning for Generic Data Classification, Information Sciences , vol.477, pp.448-465, March 2019.