Grouped Team Formation in Social Networks. - Ze Lv; Jianbin Huang; Yu Zhou 019; Heli Sun; Xiaolin Jia (APWeb (2), 2016)

Forming Grouped Teams with Efficient Collaboration in Social Networks. - Jianbin Huang; Ze Lv; Yu Zhou 019; He Li 006; Heli Sun; Xiaolin Jia (Comput. J., 2017)

A Team Formation Model with Personnel Work Hours and Project Workload Quantified. - Jianbin Huang; Xiaojing Sun; Yu Zhou 019; Heli Sun (Comput. J., 2017)

A Novel Social Event Organization Approach for Diverse User Choices. - Jianbin Huang; Yu Zhou 019; Xiaolin Jia; Heli Sun (Comput. J., 2017)

DMSS: A Robust Deep Meta Structure Based Similarity Measure in Heterogeneous Information Networks. - Yu Zhou 019; Jianbin Huang; Heli Sun; Yizhou Sun; Hong Chong (CoRR, 2017)

On Participation Constrained Team Formation. - Yu Zhou 019; Jianbin Huang; Xiaolin Jia; Heli Sun (J. Comput. Sci. Technol., 2017)

On Nonredundant Cost-Constrained Team Formation. - Yu Zhou 019; Jianbin Huang; Heli Sun; Xiaolin Jia (Int. J. Data Warehous. Min., 2017)

Corrigendum: A Team Formation Model with Personnel Work Hours and Project Workload Quantified. - Jianbin Huang; Xiaojing Sun; Yu Zhou 019; Heli Sun (Comput. J., 2018)

A Semantic-Rich Similarity Measure in Heterogeneous Information Networks. - Yu Zhou 019; Jianbin Huang; Heli Sun (CoRR, 2018)

A semantic-rich similarity measure in heterogeneous information networks. - Yu Zhou 019; Jianbin Huang; He Li 006; Heli Sun; Yan Peng; Yueshen Xu (Knowl. Based Syst., 2018)

Parameter-free Community Detection through Distance Dynamic Synchronization. - Jianbin Huang; Qingquan Bian; Heli Sun; Yaming Yang 002; Yu Zhou 019 (Comput. J., 2019)

Recurrent Meta-Structure for Robust Similarity Measure in Heterogeneous Information Networks. - Yu Zhou 019; Jianbin Huang; Heli Sun; Yizhou Sun; Shaojie Qiao; Stephen Manko Wambura (ACM Trans. Knowl. Discov. Data, 2019)

Graph Neural Networks: Taxonomy, Advances and Trends. - Yu Zhou 019; Haixia Zheng; Xin Huang (CoRR, 2020)

CMG2Vec: A composite meta-graph based heterogeneous information network embedding approach. - Zhenghao Zhang; Jianbin Huang; Qinglin Tan; Heli Sun; Yu Zhou 019 (Knowl. Based Syst., 2021)

Graph Neural Networks: Taxonomy, Advances, and Trends. - Yu Zhou 019; Haixia Zheng; Xin Huang; Shufeng Hao; Dengao Li; Jumin Zhao (ACM Trans. Intell. Syst. Technol., 2022)

Enhanced Semantic Representation Learning for Sarcasm Detection by Integrating Context-Aware Attention and Fusion Network. - Shufeng Hao; Jikun Yao; Chongyang Shi 001; Yu Zhou 019; Shuang Xu; Dengao Li; Yinghan Cheng (Entropy, 2023)

ConvHiA: convolutional network with hierarchical attention for knowledge graph multi-hop reasoning. - Dengao Li; Shuyi Miao; Bao-feng Zhao; Yu Zhou 019; Ding Feng 002; Jumin Zhao; Xupeng Niu (Int. J. Mach. Learn. Cybern., 2023)

MLFGCN: short-term residential load forecasting via graph attention temporal convolution network. - Ding Feng 002; Dengao Li; Yu Zhou 019; Wei Wang (Frontiers Neurorobotics, 2024)