Junliang Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
13
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection. | Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin |
| 2026 | WWW | DriftNavi: Talk through Your Data Drift with LLMs. | Zixin Wang, Junliang Yu, Tong Chen, Yadan Luo, Shazia Sadiq |
| 2026 | SIGIR | Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems. | Yuchuan Zhao, Tong Chen, Junliang Yu, Zongwei Wang, Lizhen Cui, Hongzhi Yin |
| 2025 | CIKM | Harnessing Large Language Models for Group POI Recommendations. | Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | WWW | Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. | Xinyi Gao, Guanhua Ye, Tong Chen, Wentao Zhang, Junliang Yu, Hongzhi Yin |
| 2025 | WWW | Graph Condensation: Foundations, Methods and Prospects. | Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang |
| 2025 | WWW | BiasNavi: LLM-Empowered Data Bias Management. | Junliang Yu, Jay Thai Duong Huynh, Shaoyang Fan, Gianluca Demartini, Tong Chen, Hongzhi Yin, Shazia Sadiq |
| 2025 | SIGIR | ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems. | Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin |
| 2025 | SIGIR | Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation. | Yuchuan Zhao, Tong Chen, Junliang Yu, Kai Zheng, Lizhen Cui, Hongzhi Yin |
| 2025 | WSDM | Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. | Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao |
| 2024 | ICDE | Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. | Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin |
| 2024 | KDD | Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. | Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq |
| 2024 | KDD | Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. | Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen |
| 2024 | WWW | Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. | Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | WSDM | Motif-based Prompt Learning for Universal Cross-domain Recommendation. | Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin |
| 2023 | CIKM | Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation. | Xin Xia, Junliang Yu, Guandong Xu, Hongzhi Yin |
| 2023 | CIKM | Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. | Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin |
| 2023 | KDD | Efficient Bi-Level Optimization for Recommendation Denoising. | Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin |
| 2022 | WWW | Accepted Tutorials at The Web Conference 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 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 | SIGIR | On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. | Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen |
| 2022 | SIGIR | Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. | Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen |
| 2021 | AAAI | Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. | Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang |
| 2021 | CIKM | Self-Supervised Graph Co-Training for Session-based Recommendation. | Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui |
| 2021 | CIKM | Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. | Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin |
| 2021 | KDD | Socially-Aware Self-Supervised Tri-Training for Recommendation. | Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung |
| 2021 | WWW | Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. | Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang |
| 2019 | ICDM | Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. | Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang |
| 2019 | IJCNN | Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. | Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong |
| 2019 | PAKDD | A Minimax Game for Generative and Discriminative Sample Models for Recommendation. | Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong |
| 2018 | CIKM | Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. | Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu |
| 2018 | ICONIP | Meta-path Based Heterogeneous Graph Embedding for Music Recommendation. | Qianqi Fang, Ling Liu, Junliang Yu, Junhao Wen |
| 2018 | ICTAI | Social Recommendation Based on Implicit Friends Discovering Via Meta-Path. | Yuqi Song, Min Gao, Junliang Yu, Qingyu Xiong |
| 2018 | ICTAI | Detection of Shilling Attack Based on Bayesian Model and User Embedding. | Fan Yang, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang |
| 2017 | ICONIP | PUD: Social Spammer Detection Based on PU Learning. | Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong |
| 2017 | ICONIP | Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning. | Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong |
| 2017 | KSEM | Connecting Factorization and Distance Metric Learning for Social Recommendations. | Junliang Yu, Min Gao, Yuqi Song, Zehua Zhao, Wenge Rong, Qingyu Xiong |