Junliang Yu - RankMe

93 papers A* 15A 8B 3C 5Journal 54Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ahead of the Spread: Agent-Driven Virtual Propagation for Early Fake News Detection. CoRR Bincheng Gu, Min Gao, Junliang Yu, Zongwei Wang, Zhiyi Liu, Kai Shu, Hongyu Zhang
2026	A*	`conf`	PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection. WWW Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin
2026	J	`jnl`	PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection. CoRR Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin
2026	J	`jnl`	When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents. CoRR Zongwei Wang, Bincheng Gu, Hongyu Yu, Junliang Yu, Tao He, Jiayin Feng, Chenghua Lin, Min Gao
2026	J	`jnl`	When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation. ACM Trans. Inf. Syst. Zongwei Wang, Min Gao, Junliang Yu, Shazia Sadiq, Hongzhi Yin, Ling Liu
2025	J	`jnl`	A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. IEEE Trans. Knowl. Data Eng. Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin
2025	—	`conf`	BiasNavi: LLM-Empowered Data Bias Management. WWW (Companion Volume) Junliang Yu, Jay Thai Duong Huynh, Shaoyang Fan, Gianluca Demartini, Tong Chen, Hongzhi Yin, Shazia Sadiq
2025	J	`jnl`	Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion. CoRR Shutong Qiao, Wei Yuan, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025	A*	`conf`	Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation. SIGIR Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin
2025	J	`jnl`	Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation. CoRR Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin
2025	J	`jnl`	Graph Condensation: A Survey. IEEE Trans. Knowl. Data Eng. Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin
2025	—	`conf`	Graph Condensation: Foundations, Methods and Prospects. WWW (Companion Volume) Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang
2025	A	`conf`	Harnessing Large Language Models for Group POI Recommendations. CIKM Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025	A*	`conf`	ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems. SIGIR Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2025	A*	`conf`	Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. WWW Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin
2025	J	`jnl`	RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents. CoRR Zongwei Wang, Min Gao, Junliang Yu, Yupeng Hou, Shazia Sadiq, Hongzhi Yin
2025	A	`conf`	Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. WSDM Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao
2025	J	`jnl`	When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation. CoRR Zongwei Wang, Min Gao, Junliang Yu, Shazia Sadiq, Hongzhi Yin, Ling Liu
2024	J	`jnl`	A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. CoRR Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin
2024	A*	`conf`	Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2024	A*	`conf`	Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. KDD Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
2024	J	`jnl`	Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. CoRR Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
2024	J	`jnl`	Graph Condensation: A Survey. CoRR Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
2024	J	`jnl`	LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems. CoRR Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2024	A	`conf`	Motif-based Prompt Learning for Universal Cross-domain Recommendation. WSDM Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
2024	J	`jnl`	Poisoning Attacks against Recommender Systems: A Survey. CoRR Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia Sadiq
2024	J	`jnl`	Poisoning Attacks and Defenses in Recommender Systems: A Survey. CoRR Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia Sadiq, Hongzhi Yin
2024	A*	`conf`	Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. WWW Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
2024	J	`jnl`	Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. CoRR Lei Guo, Ziang Lu, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
2024	J	`jnl`	Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. CoRR Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2024	J	`jnl`	Self-Supervised Learning for Recommender Systems: A Survey. IEEE Trans. Knowl. Data Eng. Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2024	A*	`conf`	Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. KDD Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
2024	J	`jnl`	XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
2023	J	`jnl`	Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2023	A*	`conf`	Efficient Bi-Level Optimization for Recommendation Denoising. KDD Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin
2023	J	`jnl`	Efficient On-Device Session-Based Recommendation. ACM Trans. Inf. Syst. Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
2023	—	`—`	Enhancing recommender systems with self-supervised learning Junliang Yu
2023	J	`jnl`	Motif-Based Prompt Learning for Universal Cross-Domain Recommendation. CoRR Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin
2023	J	`jnl`	Poisoning Attacks Against Contrastive Recommender Systems. CoRR Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
2023	J	`jnl`	Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. IEEE Trans. Comput. Soc. Syst. Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
2023	A	`conf`	Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CIKM Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin
2023	J	`jnl`	Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CoRR Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
2023	A	`conf`	Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CIKM Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
2023	J	`jnl`	Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. CoRR Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin
2023	J	`jnl`	Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. IEEE Trans. Big Data Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 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 Lyu, 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
2022	J	`jnl`	Addressing the Extreme Cold-Start Problem in Group Recommendation. CoRR Linxin Guo, Yinghui Tao, Min Gao, Junliang Yu, Liang Zhao, Wentao Li
2022	A*	`conf`	Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
2022	J	`jnl`	Efficient On-Device Session-Based Recommendation. CoRR Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
2022	J	`jnl`	Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
2022	J	`jnl`	Fast-adapting and privacy-preserving federated recommender system. VLDB J. Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
2022	A*	`conf`	On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen
2022	J	`jnl`	On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. CoRR Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung
2022	J	`jnl`	Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. CoRR Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
2022	J	`jnl`	Self-Supervised Learning for Recommender Systems: A Survey. CoRR Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
2022	J	`jnl`	Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion. CoRR Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
2022	J	`jnl`	XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. CoRR Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
2021	A	`conf`	Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CIKM Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021	J	`jnl`	Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CoRR Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021	J	`jnl`	Fast-adapting and Privacy-preserving Federated Recommender System. CoRR Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
2021	J	`jnl`	Graph Augmentation-Free Contrastive Learning for Recommendation. CoRR Junliang Yu, Hongzhi Yin, Xin Xia, Lizhen Cui, Quoc Viet Hung Nguyen
2021	J	`jnl`	Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling. Neurocomputing Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
2021	J	`jnl`	Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack. CoRR Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Wange Xu
2021	J	`jnl`	Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack. Inf. Sci. Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wang
2021	J	`jnl`	Recommender systems based on generative adversarial networks: A problem-driven perspective. Inf. Sci. Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
2021	A	`conf`	Self-Supervised Graph Co-Training for Session-based Recommendation. CIKM Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
2021	J	`jnl`	Self-Supervised Graph Co-Training for Session-based Recommendation. CoRR Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
2021	A*	`conf`	Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2021	A*	`conf`	Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021	J	`jnl`	Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. CoRR Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang
2021	A*	`conf`	Socially-Aware Self-Supervised Tri-Training for Recommendation. KDD Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2021	J	`jnl`	Socially-Aware Self-Supervised Tri-Training for Recommendation. CoRR Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2020	J	`jnl`	Enhance Social Recommendation with Adversarial Graph Convolutional Networks. CoRR Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
2020	J	`jnl`	Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling. CoRR Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
2020	J	`jnl`	Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. CoRR Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
2020	J	`jnl`	Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. CoRR Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang
2019	—	`conf`	A Minimax Game for Generative and Discriminative Sample Models for Recommendation. PAKDD (2) Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong
2019	A*	`conf`	Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019	J	`jnl`	Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019	B	`conf`	Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. IJCNN Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong
2018	A	`conf`	Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. CIKM Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
2018	B	`conf`	Detection of Shilling Attack Based on Bayesian Model and User Embedding. ICTAI Fan Yang, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang
2018	—	`conf`	Meta-path Based Heterogeneous Graph Embedding for Music Recommendation. ICONIP (3) Qianqi Fang, Ling Liu, Junliang Yu, Junhao Wen
2018	B	`conf`	Social Recommendation Based on Implicit Friends Discovering Via Meta-Path. ICTAI Yuqi Song, Min Gao, Junliang Yu, Qingyu Xiong
2018	J	`jnl`	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 Junhao Wen, Dawen Dai, Junliang Yu, Min Gao, Yihao Zhang
2017	J	`jnl`	A Social Recommender Based on Factorization and Distance Metric Learning. IEEE Access Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qingyu Xiong
2017	C	`conf`	Collaborative Shilling Detection Bridging Factorization and User Embedding. CollaborateCom Tong Dou, Junliang Yu, Qingyu Xiong, Min Gao, Yuqi Song, Qianqi Fang
2017	C	`conf`	Connecting Factorization and Distance Metric Learning for Social Recommendations. KSEM Junliang Yu, Min Gao, Yuqi Song, Zehua Zhao, Wenge Rong, Qingyu Xiong
2017	C	`conf`	Impact of the Important Users on Social Recommendation System. CollaborateCom Zehua Zhao, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang, Min Zhang
2017	C	`conf`	Integrating User Embedding and Collaborative Filtering for Social Recommendations. CollaborateCom Junliang Yu, Min Gao, Yuqi Song, Qianqi Fang, Wenge Rong, Qingyu Xiong
2017	—	`conf`	Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning. ICONIP (5) Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong
2017	—	`conf`	PUD: Social Spammer Detection Based on PU Learning. ICONIP (5) Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong
2017	C	`conf`	PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning. CollaborateCom Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Lulan Yu, Xinyu Xiao