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Ziyang Liu

13 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

ICDE ×4WWW ×2AAAI ×1ACL ×1EMNLP ×1IJCAI ×1NeurIPS ×1SIGIR ×1SIGMOD ×1

Frequent coauthors

Chaokun Wang
×13
Cheng Wu
×9
Leqi Zheng
×4
Hongwei Li
×4
Hao Feng
×4
Jiajun Zhang
×3
Canzhi Chen
×3
Shannan Yan
×3
Zixin Song
×3
Hang Zhang
×2
Ziqian Zhang
×2
Shaoyun Shi
×2

Papers

  1. What Should I Cite? A RAG Benchmark for Academic Citation Prediction
    WWW 2026 ·
    Leqi Zheng
    ,
    Jiajun Zhang
    ,
    Canzhi Chen
    ,
    Chaokun Wang
    ,
    Hongwei Li
    ,
    Yuying Li
    ,
    Yaoxin Mao
    ,
    Shannan Yan
    ,
    Zixin Song
    ,
    Zhiyuan Feng
    ,
    Zhaolu Kang
    ,
    Zirong Chen
    ,
    Hang Zhang
    ,
    Qiang Liu
    ,
    Liang Wang
    , Ziyang Liu
  2. Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning
    SIGIR 2025 ·
    Leqi Zheng
    ,
    Chaokun Wang
    , Ziyang Liu,
    Canzhi Chen
    ,
    Cheng Wu
    ,
    Hongwei Li
  3. Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention
    ICDE 2025 ·
    Ziqian Zhang
    ,
    Chaokun Wang
    ,
    Shuwen Zheng
    ,
    Cheng Wu
    , Ziyang Liu,
    Hao Feng
  4. Efficient Unsupervised Graph Embedding with Attributed Graph Reduction and Dual-Level Loss: (Extended Abstract)
    ICDE 2025 · Ziyang Liu,
    Chaokun Wang
    ,
    Hao Feng
    ,
    Ziyang Chen
  5. LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation
    EMNLP 2025 ·
    Leqi Zheng
    ,
    Chaokun Wang
    ,
    Canzhi Chen
    ,
    Jiajun Zhang
    ,
    Cheng Wu
    ,
    Zixin Song
    ,
    Shannan Yan
    , Ziyang Liu,
    Hongwei Li
  6. Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
    AAAI 2025 ·
    Cheng Wu
    ,
    Liang Su
    ,
    Chaokun Wang
    ,
    Shaoyun Shi
    ,
    Ziqian Zhang
    , Ziyang Liu,
    Wang Peng
    ,
    Wenjin Wu
    ,
    Peng Jiang
  7. Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
    NeurIPS 2025 ·
    Leqi Zheng
    ,
    Chaokun Wang
    ,
    Zixin Song
    ,
    Cheng Wu
    ,
    Shannan Yan
    ,
    Jiajun Zhang
    , Ziyang Liu
  8. PLForge: Enhancing Language Models for Natural Language to Procedural Extensions of SQL
    SIGMOD 2025 ·
    Hang Zhang
    ,
    Chaokun Wang
    ,
    Hongwei Li
    ,
    Cheng Wu
    ,
    Songyao Wang
    ,
    Yabin Liu
    ,
    Gengyuan Shi
    , Ziyang Liu
  9. TeRDy: Temporal Relation Dynamics through Frequency Decomposition for Temporal Knowledge Graph Completion
    ACL 2025 · Ziyang Liu,
    Chaokun Wang
  10. Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework
    WWW 2024 ·
    Cheng Wu
    ,
    Shaoyun Shi
    ,
    Chaokun Wang
    , Ziyang Liu,
    Wang Peng
    ,
    Wenjin Wu
    ,
    Dongying Kong
    ,
    Han Li
    ,
    Kun Gai
  11. Graph Contrastive Learning with Reinforcement Augmentation
    IJCAI 2024 · Ziyang Liu,
    Chaokun Wang
    ,
    Cheng Wu
  12. GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs
    ICDE 2024 ·
    Hao Feng
    ,
    Chaokun Wang
    , Ziyang Liu,
    Yunkai Lou
    ,
    Zhenyu Liu
    ,
    Xiaokun Zhu
    ,
    Yongjun Bao
    ,
    Weipeng Yan
  13. Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs
    ICDE 2024 · Ziyang Liu,
    Chaokun Wang
    ,
    Liqun Yang
    ,
    Yunkai Lou
    ,
    Hao Feng
    ,
    Cheng Wu
    ,
    Kai Zheng
    ,
    Yang Song