PPaperPicks

Cheng Yang

Beijing University of Posts and Telecommunications, China

39 papers at tracked venues · 32 at CORE A* · active 2024–2026

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Venues

ACL ×8AAAI ×6SIGKDD ×5ICLR ×4NeurIPS ×4WWW ×4CIKM ×2EMNLP ×2ECML-PKDD ×1IJCAI ×1NAACL ×1SIGIR ×1

Frequent coauthors

Weize Chen
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Chen Qian
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Jinyu Yang
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Junze Chen
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Zhongjian Zhang
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Zhuoyang Wu
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Yang Liu
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Haidong Xin
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Boyu Chen
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Xinlong Zhai
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Yufei Peng
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Chengdong Yang
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Papers

  1. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
    ACL 2026 ·
    Zhuoyang Wu
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  2. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
    ACL 2026 ·
    Yang Liu
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  3. MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization
    ACL 2026 ·
    Haidong Xin
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  4. PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
    AAAI 2026 ·
    Boyu Chen
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  5. Benchmarking Graph Foundation Models
    SIGKDD 2025 ·
    Jinyu Yang
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  6. Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
    AAAI 2025 ·
    Xinlong Zhai
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  7. CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
    SIGIR 2025 ·
    Junze Chen
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  8. Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?
    SIGKDD 2025 ·
    Zhongjian Zhang
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  9. ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
    ICLR 2025 · Cheng Yang
  10. Data-centric Prompt Tuning for Dynamic Graphs
    CIKM 2025 ·
    Yufei Peng
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  11. FLAG: Fraud Detection with LLM-enhanced Graph Neural Network
    SIGKDD 2025 ·
    Chengdong Yang
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  12. Federated Graph Condensation with Information Bottleneck Principles
    AAAI 2025 ·
    Bo Yan
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  13. Full-Atom Protein-Protein Interaction Prediction via Atomic Equivariant Attention Network
    CIKM 2025 ·
    Chunchen Wang
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  14. GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations
    SIGKDD 2025 ·
    Junze Chen
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  15. Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
    AAAI 2025 ·
    Jinyu Yang
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  16. Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
    ICLR 2025 ·
    Weize Chen
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  17. Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
    ACL 2025 ·
    Shuliang Liu
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  18. Multi-Agent Collaboration via Cross-Team Orchestration
    ACL 2025 ·
    Zhuoyun Du
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  19. Multi-Agent Collaboration via Evolving Orchestration
    NeurIPS 2025 ·
    Yufan Dang
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  20. Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System
    ACL 2025 ·
    Weize Chen
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  21. RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
    EMNLP 2025 ·
    Jiahui Li
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  22. Scaling Large Language Model-based Multi-Agent Collaboration
    ICLR 2025 ·
    Chen Qian
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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. Adaptively Denoising Graph Neural Networks for Knowledge Distillation
    ECML-PKDD 2024 ·
    Yuxin Guo
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  25. Advancing Molecule Invariant Representation via Privileged Substructure Identification
    SIGKDD 2024 ·
    Ruijia Wang
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  26. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
    ICLR 2024 ·
    Weize Chen
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  27. Autonomous Agents for Collaborative Task under Information Asymmetry
    NeurIPS 2024 ·
    Wei Liu
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  28. Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
    EMNLP 2024 ·
    Weize Chen
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  29. Calibrating Graph Neural Networks from a Data-centric Perspective
    WWW 2024 · Cheng Yang
  30. Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
    NeurIPS 2024 ·
    Xin Li
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  31. ChatDev: Communicative Agents for Software Development
    ACL 2024 ·
    Chen Qian
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  32. Endowing Pre-trained Graph Models with Provable Fairness
    WWW 2024 ·
    Zhongjian Zhang
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  33. Experiential Co-Learning of Software-Developing Agents
    ACL 2024 ·
    Chen Qian
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  34. FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
    AAAI 2024 · Cheng Yang
  35. Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
    AAAI 2024 ·
    Tianrui Jia
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  36. GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks
    WWW 2024 ·
    Mengmei Zhang
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  37. Heterogeneous Graph Transformer with Poly-Tokenization
    IJCAI 2024 ·
    Zhiyuan Lu
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  38. Lecture-style Tutorial: Towards Graph Foundation Models
    WWW 2024 ·
    Chuan Shi
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  39. Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast
    NeurIPS 2024 ·
    Chufan Shi
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