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Zibin Zheng

Sun Yat-sen University, School of Advanced Computing

27 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

ACL ×5AAAI ×3NeurIPS ×3WWW ×3ICLR ×2ICML ×2WSDM ×2ACM MM ×1CIKM ×1CVPR ×1ECAI ×1ICDE ×1IJCAI ×1SIGKDD ×1

Frequent coauthors

Yuchang Zhu
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Jialong Chen
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Yanlin Wang
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Tianchi Liao
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Jintang Li
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Jing Zhang
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Yanli Wang
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Shufeng Kong
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Xunyue Mo
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Yuecheng Li
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Weibin Wu
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Zhiying Wu
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Papers

  1. ArkRepoBench: A Repository-Level Code Completion Benchmark for HarmonyOS Development
    ACL 2026 ·
    Yanlin Wang
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  2. From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQA
    ACL 2026 ·
    Jing Zhang
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  3. From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code Completion
    ACL 2026 ·
    Yanli Wang
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  4. MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging
    AAAI 2026 ·
    Shufeng Kong
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  5. QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism
    AAAI 2026 ·
    Xunyue Mo
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  6. RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories
    ACL 2026 ·
    Yanlin Wang
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  7. Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
    ICML 2025 ·
    Yuecheng Li
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  8. Detecting Violations of Physical Common Sense in Images: A Challenge Dataset and Effective Model
    ACM MM 2025 ·
    Weibin Wu
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  9. Federated Domain Generalization with Decision Insight Matrix
    IJCAI 2025 ·
    Tianchi Liao
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  10. Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
    ICLR 2025 ·
    Jialong Chen
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  11. Hunting in the Dark Forest: A Pre-trained Model for On-chain Attack Transaction Detection in Web3
    WWW 2025 ·
    Zhiying Wu
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  12. Measuring Diversity in Synthetic Datasets
    ICML 2025 ·
    Yuchang Zhu
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  13. Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
    AAAI 2025 ·
    Zhenjie Xu
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  14. Self-Assembling Graph Perceptrons
    NeurIPS 2025 ·
    Jialong Chen
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  15. A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
    ICLR 2024 ·
    Jintang Li
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  16. A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm
    NeurIPS 2024 ·
    Tianchi Liao
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  17. DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction Graphs
    WWW 2024 ·
    Dan Lin
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  18. Fair Graph Representation Learning via Sensitive Attribute Disentanglement
    WWW 2024 ·
    Yuchang Zhu
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  19. FedSeProto: Learning Semantic Prototype in Federated Learning
    ECAI 2024 ·
    Yanyi Lai
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  20. Improving Message-Passing GNNs by Asynchronous Aggregation
    CIKM 2024 ·
    Jialong Chen
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  21. Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
    CVPR 2024 ·
    Han Wu
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  22. One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
    SIGKDD 2024 ·
    Yuchang Zhu
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  23. Porygon: Scaling Blockchain via 3D Parallelism
    ICDE 2024 ·
    Wuhui Chen
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  24. Rethinking and Simplifying Bootstrapped Graph Latents
    WSDM 2024 ·
    Wangbin Sun
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  25. Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models
    ACL 2024 ·
    Wenqing Chen
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  26. State Space Models on Temporal Graphs: A First-Principles Study
    NeurIPS 2024 ·
    Jintang Li
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  27. The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation
    WSDM 2024 ·
    Yuchang Zhu
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