Yuanchun Zhou

Venues

Frequent coauthors

Papers

1. DLRover-LM: LLM Pre-Training Framework With Thousands of Accelerators in AntGroup
   ICDE 2026 ·

   Ziling Huang

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2. TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery
   ACL 2026 ·

   Wenxi Xu

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3. scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing
   AAAI 2026 ·

   Ping Xu

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4. Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks
   SIGMOD 2025 ·

   Meiyu Lin

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5. AutoDive+: An Adaptive Model Enhanced Multimodal Online Annotation Tool
   WWW 2025 ·

   Ludi Wang

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6. Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
   ACL 2025 ·

   Hao Dong

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7. Diversity-oriented Data Augmentation with Large Language Models
   ACL 2025 ·

   Zaitian Wang

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8. Dynamic and Adaptive Feature Generation with LLM
   IJCAI 2025 ·

   Xinhao Zhang

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9. Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies
   ICDE 2025 ·

   Tianqi He

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10. Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
    AAAI 2025 ·

    Ran Zhang

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11. Rethinking Graph Contrastive Learning Through Relative Similarity Preservation
    IJCAI 2025 ·

    Zhiyuan Ning

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12. SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
    SIGKDD 2025 ·

    Chuan Qin

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13. mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
    VLDB 2025 ·

    Zhengmao Ye

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14. scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data
    IJCAI 2025 ·

    Ping Xu

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15. scUnified: An AI-Ready Standardized Resource for Single-Cell RNA Sequencing Analysis
    ICDM 2025 ·

    Ping Xu

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16. A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System
    SIGMOD 2024 ·

    Jiale Lao

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17. DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the cloud
    VLDB 2024 ·

    Qinlong Wang

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18. FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
    IJCAI 2024 ·

    Zhiyuan Ning

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19. GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
    CIKM 2024 ·

    Guojiao Lin

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20. H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction
    CIKM 2024 ·

    Ran Zhang

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21. MOAT: Graph Prompting for 3D Molecular Graphs
    CIKM 2024 ·

    Qingqing Long

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22. PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment
    CIKM 2024 ·

    Zeyu Dong

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23. SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data
    ICDM 2024 ·

    Cong Li

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24. Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
    SIGKDD 2024 ·

    Wangyang Ying

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25. Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations
    WWW 2024 ·

    Qingqing Long

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