Cheng Li

Venues

Frequent coauthors

Papers

1. GoCache: Accelerating Out-Of-Core Graph Queries with Pattern-Driven Caching
   ICDE 2026 ·

   Zheng Yang

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2. RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference
   VLDB 2026 ·

   Yaoqi Chen

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3. SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing
   AAAI 2026 ·

   Zewen Jin

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4. HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference
   ACL 2025 ·

   Ping Gong

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5. Perseus: Achieving Strong Consistency and High Data Freshness for Scalable Geo-distributed HTAP
   SIGMOD 2025 ·

   Haoze Song

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6. rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
   NeurIPS 2025 ·

   Yifei Liu

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7. DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
   AAAI 2024 ·

   Conglong Li

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8. Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression
   VLDB 2024 ·

   Yuxin Ma

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9. Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
   AAAI 2024 ·

   Zhewei Yao

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10. PolyBase: Adapting to Data Affinity Changes in Geo-Replicated Database via Row-Level Paxos-Group Affiliation Re-Assignment
    VLDB 2024 ·

    Chaoyi Ruan

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11. VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
    EMNLP 2024 ·

    Yifei Liu

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