Junliang Yu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 72

Top Topics

Matrix Factorization

Distance Metric Learning

Recommender Systems

Social Recommendation

Top Venues

Publications

Lei Guo, Ziang Lu, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. CoRR (2024)
Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. CoRR (2024)
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. KDD (2024)
Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. CoRR (2024)
Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia W. Sadiq
Poisoning Attacks Against Recommender Systems: A Survey. CoRR (2024)
Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia W. Sadiq, Hongzhi Yin
Poisoning Attacks and Defenses in Recommender Systems: A Survey. CoRR (2024)
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. KDD (2024)
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE (2024)
Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
Motif-based Prompt Learning for Universal Cross-domain Recommendation. WSDM (2024)
Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. WWW (2024)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
Self-Supervised Learning for Recommender Systems: A Survey. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
Graph Condensation: A Survey. CoRR (2024)
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CoRR (2023)
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. IEEE Trans. Big Data 9 (2) (2023)
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
Efficient On-Device Session-Based Recommendation. ACM Trans. Inf. Syst. 41 (4) (2023)
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CoRR (2023)
Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CIKM (2023)
Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin
Efficient Bi-Level Optimization for Recommendation Denoising. KDD (2023)
Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation. CoRR (2023)
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq
Poisoning Attacks Against Contrastive Recommender Systems. CoRR (2023)
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR (2023)
Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CIKM (2023)
Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. IEEE Trans. Comput. Soc. Syst. 10 (5) (2023)
Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
Efficient On-Device Session-Based Recommendation. CoRR (2022)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR (2022)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. CoRR (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. CoRR (2022)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
Self-Supervised Learning for Recommender Systems: A Survey. CoRR (2022)
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Linxin Guo, Yinghui Tao, Min Gao, Junliang Yu, Liang Zhao, Wentao Li
Addressing the Extreme Cold-Start Problem in Group Recommendation. CoRR (2022)
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion. CoRR (2022)
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. CoRR (2022)
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
Fast-adapting and privacy-preserving federated recommender system. VLDB J. 31 (5) (2022)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR (2022)
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wang
Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack. Inf. Sci. 578 (2021)
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CIKM (2021)
Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen
Graph Augmentation-Free Contrastive Learning for Recommendation. CoRR (2021)
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
Recommender systems based on generative adversarial networks: A problem-driven perspective. Inf. Sci. 546 (2021)
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
Socially-Aware Self-Supervised Tri-Training for Recommendation. CoRR (2021)
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CoRR (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
Self-Supervised Graph Co-Training for Session-based Recommendation. CIKM (2021)
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
Fast-adapting and Privacy-preserving Federated Recommender System. CoRR (2021)
Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling. Neurocomputing 461 (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI (2021)
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW (2021)
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Wange Xu
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack. CoRR (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
Self-Supervised Graph Co-Training for Session-based Recommendation. CoRR (2021)
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
Socially-Aware Self-Supervised Tri-Training for Recommendation. KDD (2021)
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. CoRR (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR (2020)
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
Enhance Social Recommendation with Adversarial Graph Convolutional Networks. CoRR (2020)
Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling. CoRR (2020)
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. CoRR (2020)
Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong
A Minimax Game for Generative and Discriminative Sample Models for Recommendation. PAKDD (2) (2019)
Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong
Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. IJCNN (2019)
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR (2019)
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM (2019)
Fan Yang, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang
Detection of Shilling Attack Based on Bayesian Model and User Embedding. ICTAI (2018)
Yuqi Song, Min Gao, Junliang Yu, Qingyu Xiong
Social Recommendation Based on Implicit Friends Discovering Via Meta-Path. ICTAI (2018)
Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. CIKM (2018)
Junhao Wen, Dawen Dai, Junliang Yu, Min Gao, Yihao Zhang
融合矩阵分解与距离度量学习的社会化推荐算法 (Social Recommendation Method Integrating Matrix Factorization and Distance Metric Learning). 计算机科学 45 (10) (2018)
Qianqi Fang, Ling Liu, Junliang Yu, Junhao Wen
Meta-path Based Heterogeneous Graph Embedding for Music Recommendation. ICONIP (3) (2018)
Zehua Zhao, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang, Min Zhang
Impact of the Important Users on Social Recommendation System. CollaborateCom (2017)
Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong
Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning. ICONIP (5) (2017)
Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong
PUD: Social Spammer Detection Based on PU Learning. ICONIP (5) (2017)
Junliang Yu, Min Gao, Yuqi Song, Zehua Zhao, Wenge Rong, Qingyu Xiong
Connecting Factorization and Distance Metric Learning for Social Recommendations. KSEM (2017)
Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Lulan Yu, Xinyu Xiao
PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning. CollaborateCom (2017)
Junliang Yu, Min Gao, Yuqi Song, Qianqi Fang, Wenge Rong, Qingyu Xiong
Integrating User Embedding and Collaborative Filtering for Social Recommendations. CollaborateCom (2017)
Tong Dou, Junliang Yu, Qingyu Xiong, Min Gao, Yuqi Song, Qianqi Fang
Collaborative Shilling Detection Bridging Factorization and User Embedding. CollaborateCom (2017)
Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qingyu Xiong
A Social Recommender Based on Factorization and Distance Metric Learning. IEEE Access 5 (2017)