Yu Coder-Yu

This is Junliang Yu, a second-year PhD student majoring in Computer Science. [Google Scholar]

I’m working with A/Prof. Hongzhi Yin at the University of Queensland.
My research interests include recommender systems, social network analysis, self-supervised learning and graph learning.
Feel free to drop me an email if you have any questions. 📧

[08/08/2021] Two co-authored papers on self-supervised learning and group/session recommendation are accepted by CIKM'21
[17/05/2021] One paper on self-supervised learning and recommendation is accepted by KDD'21.
[16/01/2021] One paper on self-supervised learning and social recommendation is accepted by WWW'21.
[02/12/2020] One co-authored paper on hypergraph and session-based recommendation is accepted by AAAI'21.
[02/10/2020] One paper on graph convolutional networks and generative adversarial networks is accepted by IEEE TKDE.

X. Xia, H. Yin, J. Yu et al. Self-Supervised Co-Training for Session-based Recommendation. CIKM'21
J. Zhang, M. Gao, J. Yu et al. Double-Scale Self-Supervised Hypergraph Convolutional Network for Group Recommendation. CIKM'21
J. Yu, H. Yin, M. Gao et al. Socially-Aware Self-Supervised Tri-Training for Recommendation. KDD'21
J. Yu, H. Yin, J. Li et al. Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW'21
X. Xia, H. Yin, J. Yu et al. Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI'21
J. Yu, H. Yin, J. Li et al. Enhancing Social Recommendation with Adversarial Graph Convolutional Networks. TKDE'20
J. Yu, M. Gao, H. Yin et al. Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM'19
J. Yu, M. Gao, J. Li et al. Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. CIKM'18