PPaperPicks

Yan Wang

Macquarie University, Department of Computing, Sydney, NSW, Australia

23 papers at tracked venues · 18 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Guanfeng Liu
×8
Pengfei Ding
×6
Xiuzhen Zhang
×5
Rongwei Xu
×3
Amin Beheshti
×3
Jiajie Zhu
×3
Hongyang Liu
×3
Zhu Sun
×3
Xinghua Qu
×3
Xuyun Zhang
×3
Zhixuan Chu
×3
Zitai Qiu
×2

Papers

  1. Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation
    WSDM 2026 ·
    Rongwei Xu
    ,
    Zitai Qiu
    ,
    Pengfei Ding
    , Yan Wang,
    Jia Wu
    ,
    Amin Beheshti
    ,
    Guanfeng Liu
  2. Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling
    WWW 2026 ·
    Xuankai Yang
    , Yan Wang,
    Jiajie Zhu
    ,
    Pengfei Ding
    ,
    Hongyang Liu
    ,
    Xiuzhen Zhang
    ,
    Huan Liu
  3. Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
    AAAI 2026 ·
    Hongyang Liu
    ,
    Zhu Sun
    ,
    Tianjun Wei
    , Yan Wang,
    Jiajie Zhu
    ,
    Xinghua Qu
  4. Frequency-Corrupt Based Graph Self-Supervised Learning
    WWW 2026 ·
    Haojie Li
    ,
    Mengjiao Zhang
    ,
    Guanfeng Liu
    ,
    Qiang Hu
    , Yan Wang,
    Junwei Du
  5. Intent Propagation Contrastive Collaborative Filtering Extended Abstract
    ICDE 2026 ·
    Haojie Li
    ,
    Junwei Du
    ,
    Guanfeng Liu
    ,
    Feng Jiang
    , Yan Wang,
    Xiaofang Zhou
  6. MARCH: Multi-Teacher Contrastive Hypergraph Distillation
    WWW 2026 ·
    Rongwei Xu
    ,
    Zitai Qiu
    ,
    Pengfei Ding
    ,
    Jia Wu
    , Yan Wang,
    Amin Beheshti
    ,
    Guanfeng Liu
  7. Re-understanding Graph Unlearning through Memorization
    WWW 2026 ·
    Pengfei Ding
    , Yan Wang,
    Guanfeng Liu
  8. Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems
    AAAI 2026 ·
    Xiaoxiao Chi
    ,
    Xuyun Zhang
    , Yan Wang,
    Hongsheng Hu
    ,
    Wanchun Dou
  9. A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection
    WWW 2025 ·
    Xuankai Yang
    , Yan Wang,
    Xiuzhen Zhang
    ,
    Shoujin Wang
    ,
    Huaxiong Wang
    ,
    Kwok-Yan Lam
  10. Adaptive Graph Unlearning
    IJCAI 2025 ·
    Pengfei Ding
    , Yan Wang,
    Guanfeng Liu
    ,
    Jiajie Zhu
  11. Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
    NeurIPS 2025 ·
    Sishun Liu
    ,
    Ke Deng
    ,
    Yongli Ren
    , Yan Wang,
    Xiuzhen Zhang
  12. LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
    AAAI 2025 ·
    Yatong Sun
    ,
    Xiaochun Yang
    ,
    Zhu Sun
    , Yan Wang,
    Bin Wang
    ,
    Xinghua Qu
  13. Learning Marked Temporal Point Process Explanations Based on Counterfactual and Factual Reasoning
    ECAI 2025 ·
    Sishun Liu
    ,
    Ke Deng
    ,
    Xiuzhen Zhang
    , Yan Wang
  14. Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering
    CVPR 2025 ·
    Liang Chen
    ,
    Zhe Xue
    ,
    Yawen Li
    ,
    Meiyu Liang
    , Yan Wang,
    Anton van den Hengel
    ,
    Yuankai Qi
  15. Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
    IJCAI 2025 ·
    Han Zhang
    , Yan Wang,
    Guanfeng Liu
    ,
    Pengfei Ding
    ,
    Huaxiong Wang
    ,
    Kwok-Yan Lam
  16. A Causal Explainable Guardrails for Large Language Models
    CCS 2024 ·
    Zhixuan Chu
    , Yan Wang,
    Longfei Li
    ,
    Zhibo Wang
    ,
    Zhan Qin
    ,
    Kui Ren
  17. A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation
    SIGKDD 2024 ·
    Shoujin Wang
    ,
    Wentao Wang
    ,
    Xiuzhen Zhang
    , Yan Wang,
    Huan Liu
    ,
    Fang Chen
  18. Adaptive Hypergraph Network for Trust Prediction
    ICDE 2024 ·
    Rongwei Xu
    ,
    Guanfeng Liu
    , Yan Wang,
    Xuyun Zhang
    ,
    Kai Zheng
    ,
    Xiaofang Zhou
  19. EasyTPP: Towards Open Benchmarking Temporal Point Processes
    ICLR 2024 ·
    Siqiao Xue
    ,
    Xiaoming Shi
    ,
    Zhixuan Chu
    , Yan Wang,
    Hongyan Hao
    ,
    Fan Zhou
    ,
    Caigao Jiang
    ,
    Chen Pan
    ,
    James Y. Zhang
    ,
    Qingsong Wen
    ,
    Jun Zhou
    ,
    Hongyuan Mei
  20. Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward
    AAAI 2024 ·
    Mengyuan Yang
    ,
    Mengying Zhu
    , Yan Wang,
    Linxun Chen
    ,
    Yilei Zhao
    ,
    Xiuyuan Wang
    ,
    Bing Han
    ,
    Xiaolin Zheng
    ,
    Jianwei Yin
  21. LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
    AAAI 2024 · Yan Wang,
    Zhixuan Chu
    ,
    Xin Ouyang
    ,
    Simeng Wang
    ,
    Hongyan Hao
    ,
    Yue Shen
    ,
    Jinjie Gu
    ,
    Siqiao Xue
    ,
    James Zhang
    ,
    Qing Cui
    ,
    Longfei Li
    ,
    Jun Zhou
    ,
    Sheng Li
  22. Large Language Models for Intent-Driven Session Recommendations
    SIGIR 2024 ·
    Zhu Sun
    ,
    Hongyang Liu
    ,
    Xinghua Qu
    ,
    Kaidong Feng
    , Yan Wang,
    Yew Soon Ong
  23. Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
    IJCAI 2024 ·
    Xiaoxiao Chi
    ,
    Xuyun Zhang
    , Yan Wang,
    Lianyong Qi
    ,
    Amin Beheshti
    ,
    Xiaolong Xu
    ,
    Kim-Kwang Raymond Choo
    ,
    Shuo Wang
    ,
    Hongsheng Hu