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Lan Zhang

15 papers at tracked venues · 9 at CORE A* · active 2024–2026

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Venues

ICDE ×4CIKM ×2AAAI ×1ACL ×1ACM MM ×1ECML-PKDD ×1ICLR ×1IJCAI ×1RecSys ×1WSDM ×1WWW ×1

Frequent coauthors

Haifeng Sun
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Yihang Cheng
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Wujia Niu
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Junyang Wang
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Pengcheng Sun
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Juntao Liang
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Tianheng Qiu
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Chen Tang
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Miao-Hui Song
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Shen Li
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Yingqi Yu
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Shanyang Jiang
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Papers

  1. Fast-DataShapley: Neural Modeling for Training Data Valuation
    WSDM 2026 ·
    Haifeng Sun
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  2. PrivSplit: A Lossless Method for Prompt Privacy in Distributed Parameter-Efficient Fine-Tuning
    WWW 2026 ·
    Wujia Niu
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  3. TopFGL: A Topology-Aware and Distributionagnostic Federated Learning Framework Tackling Topological Heterogeneity on Graph Data
    ICDE 2026 ·
    Junyang Wang
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  4. $\mathrm{E}{3}\text{FS}$: Efficient, Secure, and Verifiable Fuzzy Search with Data Updates in Hybrid-Storage Blockchains
    ICDE 2025 ·
    Pengcheng Sun
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  5. DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models
    ECML-PKDD 2025 ·
    Haifeng Sun
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  6. FedEcover: Fast and Stable Converging Model-Heterogeneous Federated Learning with Efficient-Coverage Submodel Extraction
    ICDE 2025 ·
    Juntao Liang
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  7. IntentVCNet: Bridging Spatio-Temporal Gaps for Intention-Oriented Controllable Video Captioning
    ACM MM 2025 ·
    Tianheng Qiu
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  8. Model Lineage Closeness Analysis
    AAAI 2025 ·
    Chen Tang
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  9. ProxySampler: Proxy Informativeness Estimation for Efficient Data Selection in Active Learning
    CIKM 2025 ·
    Miao-Hui Song
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  10. RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
    ACL 2025 ·
    Yihang Cheng
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  11. Safety Layers in Aligned Large Language Models: The Key to LLM Security
    ICLR 2025 ·
    Shen Li
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  12. Bandits with Concave Aggregated Reward
    IJCAI 2024 ·
    Yingqi Yu
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  13. FedMix: Boosting with Data Mixture for Vertical Federated Learning
    ICDE 2024 ·
    Yihang Cheng
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  14. GameTrail: Probabilistic Lifecycle Process Model for Deep Game Understanding
    CIKM 2024 ·
    Shanyang Jiang
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  15. Utilizing Non-click Samples via Semi-supervised Learning for Conversion Rate Prediction
    RecSys 2024 ·
    Jiahui Huang
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