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Chuan Shi

Beijing University of Posts and Telecommunications, Beijing, China

41 papers at tracked venues · 34 at CORE A* · active 2024–2026

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Venues

WWW ×11AAAI ×9SIGKDD ×8CIKM ×2ICML ×2NAACL ×2NeurIPS ×2ACL ×1ECML-PKDD ×1IJCAI ×1SIGIR ×1WSDM ×1

Frequent coauthors

Zhongjian Zhang
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Yang Liu
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Bo Yan
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Yibo Li
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Jinyu Yang
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Junze Chen
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Yujie Xing
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Cheng Yang
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Yue Yu
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Boyu Chen
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Qimin Zhou
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Jingtao Ding
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Papers

  1. C2-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models
    WSDM 2026 ·
    Yue Yu
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  2. FRiskGPT: A Generative Foundation Model for Financial Risk Detection
    WWW 2026 ·
    Zhongjian Zhang
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  3. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
    ACL 2026 ·
    Yang Liu
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  4. PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
    AAAI 2026 ·
    Boyu Chen
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  5. Riemannian Graph Tokenizer for Structural Knowledge Transfer
    WWW 2026 ·
    Qimin Zhou
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  6. Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
    WWW 2026 ·
    Bo Yan
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  7. Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning
    WWW 2026 ·
    Zhongjian Zhang
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  8. Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment
    SIGKDD 2025 ·
    Yibo Li
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  9. Artificial Intelligence for Complex Network: Potential, Methodology and Application
    WWW 2025 ·
    Jingtao Ding
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  10. Benchmarking Graph Foundation Models
    SIGKDD 2025 ·
    Jinyu Yang
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  11. Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
    AAAI 2025 ·
    Xinlong Zhai
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  12. CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
    SIGIR 2025 ·
    Junze Chen
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  13. Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
    SIGKDD 2025 ·
    Zhongjian Zhang
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  14. Data-centric Prompt Tuning for Dynamic Graphs
    CIKM 2025 ·
    Yufei Peng
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  15. Exploring the Potential of Large Language Models for Heterophilic Graphs
    NAACL 2025 ·
    Yuxia Wu
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  16. FLAG: Fraud Detection with LLM-enhanced Graph Neural Network
    SIGKDD 2025 ·
    Chengdong Yang
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  17. Federated Graph Condensation with Information Bottleneck Principles
    AAAI 2025 ·
    Bo Yan
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  18. Full-Atom Protein-Protein Interaction Prediction via Atomic Equivariant Attention Network
    CIKM 2025 ·
    Chunchen Wang
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  19. Graph Positional Autoencoders as Self-supervised Learners
    SIGKDD 2025 ·
    Yang Liu
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  20. GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations
    SIGKDD 2025 ·
    Junze Chen
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  21. Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
    AAAI 2025 ·
    Jinyu Yang
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  22. Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
    AAAI 2025 ·
    Zhongjian Zhang
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  23. Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
    NAACL 2025 ·
    Sun Ao
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  24. Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
    NeurIPS 2025 ·
    Yujie Xing
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  25. A Generalized Neural Diffusion Framework on Graphs
    AAAI 2024 ·
    Yibo Li
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  26. Adaptively Denoising Graph Neural Networks for Knowledge Distillation
    ECML-PKDD 2024 ·
    Yuxin Guo
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  27. Advancing Molecule Invariant Representation via Privileged Substructure Identification
    SIGKDD 2024 ·
    Ruijia Wang
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  28. Calibrating Graph Neural Networks from a Data-centric Perspective
    WWW 2024 ·
    Cheng Yang
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  29. Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
    NeurIPS 2024 ·
    Xin Li
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  30. Customizing Graph Neural Network for CAD Assembly Recommendation
    SIGKDD 2024 ·
    Fengqi Liang
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  31. Endowing Pre-trained Graph Models with Provable Fairness
    WWW 2024 ·
    Zhongjian Zhang
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  32. FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
    AAAI 2024 ·
    Cheng Yang
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  33. Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
    WWW 2024 ·
    Bo Yan
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  34. Graph Contrastive Invariant Learning from the Causal Perspective
    AAAI 2024 ·
    Yanhu Mo
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  35. Graph Distillation with Eigenbasis Matching
    ICML 2024 ·
    Yang Liu
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  36. Graph Fairness Learning under Distribution Shifts
    WWW 2024 ·
    Yibo Li
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  37. Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
    AAAI 2024 ·
    Tianrui Jia
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  38. GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks
    WWW 2024 ·
    Mengmei Zhang
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  39. Heterogeneous Graph Transformer with Poly-Tokenization
    IJCAI 2024 ·
    Zhiyuan Lu
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  40. Lecture-style Tutorial: Towards Graph Foundation Models
    WWW 2024 · Chuan Shi
  41. Less is More: on the Over-Globalizing Problem in Graph Transformers
    ICML 2024 ·
    Yujie Xing
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