James Cheng

Venues

Frequent coauthors

Papers

1. CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA
   SIGMOD 2026 ·

   Xiangyu Zhi

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2. Corrigendum: Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study: [Experiments & Analysis]
   SIGMOD 2026 ·

   Mocheng Li

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3. FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud
   SIGMOD 2026 ·

   Yuhao Lin

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4. GPS: Revisiting the Data Layout for Disk-based High-Dimensional Vector Search
   SIGMOD 2026 ·

   Peiqi Yin

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5. Hitcher: Efficient GPU-based Vector Search via Cluster-Centric Kernel and Hitch-Ride Ordering
   SIGKDD 2026 ·

   Qihui Zhou

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6. PilotANN: Memory-Bounded GPU Acceleration for Vector Search
   SIGKDD 2026 ·

   Yuntao Gui

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7. RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents
   ACL 2026 ·

   Zijie Dai

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8. SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
   ACL 2026 ·

   Yongfeng Huang

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9. SG-Serve: Efficient Model Serving for Subgraph-based Graph Representation Learning
   SIGMOD 2026 ·

   Qihui Zhou

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10. A Signed Graph Approach to Understanding and Mitigating Oversmoothing
    NeurIPS 2025 ·

    Jiaqi Wang

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11. Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study
    SIGMOD 2025 ·

    Mocheng Li

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12. BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
    ICLR 2025 ·

    Jiaxing Xu

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13. CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation Models
    SIGMOD 2025 ·

    Peiqi Yin

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14. Hierarchical Graph Tokenization for Molecule-Language Alignment
    ICML 2025 ·

    Yongqiang Chen

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15. MESH - Understanding Videos Like Human: Measuring Hallucinations in Large Video Models
    ACM MM 2025 ·

    Garry Yang

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16. Retrieval-Augmented Generation with Hierarchical Knowledge
    EMNLP 2025 ·

    Haoyu Huang

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17. SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation
    SIGMOD 2025 ·

    Hui Li

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18. Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models
    NeurIPS 2025 ·

    Jiaqi Wang

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19. Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching
    SIGMOD 2024 ·

    Qihui Zhou

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20. Detecting and Understanding Self-Deleting JavaScript Code
    WWW 2024 ·

    Xinzhe Wang

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21. Discovery of the Hidden World with Large Language Models
    NeurIPS 2024 ·

    Chenxi Liu

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22. Enhancing Evolving Domain Generalization through Dynamic Latent Representations
    AAAI 2024 ·

    Binghui Xie

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23. Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
    ICLR 2024 ·

    Binghui Xie

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24. GE2: A General and Efficient Knowledge Graph Embedding Learning System
    SIGMOD 2024 ·

    Chenguang Zheng

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25. HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
    NeurIPS 2024 ·

    Binghui Xie

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26. How Interpretable Are Interpretable Graph Neural Networks?
    ICML 2024 ·

    Yongqiang Chen

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27. Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods
    SIGKDD 2024 ·

    Da Yan

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28. Wings: Efficient Online Multiple Graph Pattern Matching
    ICDE 2024 ·

    Guanxian Jiang

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