Lingfan Yu

Most-cited papers

1. Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

   Minjie Wang, Da Zheng, Zihao Ye, Quan Gan +11 more

   20191,404 citations

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2. Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs

   Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan +14 more

   2019arXiv.org900 citations

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3. Stateful Large Language Model Serving with Pensieve

   Lingfan Yu, Jinkun Lin, Jin-Yang Li

   2023European Conference on Computer Systems107 citations Open access

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4. Low latency RNN inference with cellular batching

   Pin Gao, Lingfan Yu, Yong-Wei Wu, Jin-Yang Li

   2018European Conference on Computer Systems103 citations

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5. Scalable Graph Neural Networks for Heterogeneous Graphs

   Lingfan Yu, Jiajun Shen, Jin-Yang Li, A. Lerer

   2020arXiv.org66 citations

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6. The Efficient Server Audit Problem, Deduplicated Re-execution, and the Web

   Cheng Tan, Lingfan Yu, Joshua B. Leners, Michael Walfish

   2017Symposium on Operating Systems Principles26 citations Open access

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7. SERO: A Model-Driven Seamless Roaming Framework for Wireless Mesh Network With Multipath TCP

   Chaojing Xue, Wenzhong Li, Lingfan Yu, Jiacheng Shang +2 more

   2019IEEE Transactions on Communications10 citations

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8. Adaptive subflow allocation for multipath data transmission in mobile edge networks

   Wenzhong Li, Lingfan Yu, Chaojing Xue, Han Zhang +3 more

   2021Journal of systems architecture6 citations

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9. Optimizing AP association in wireless mesh network with multipath TCP

   Jiacheng Shang, Lingfan Yu, Chaojing Xue, Wenzhong Li

   2015The 21st IEEE International Workshop on Local and Metropolitan Area Networks5 citations

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10. CRAFT: Cost-aware Expert Replica Allocation with Fine-Grained Layerwise Estimations

    Adrian Zhao, Zhenkun Cai, Zhenyu Song, Lingfan Yu +4 more

    2026arXiv.org0 citations

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11. SAS: Sparse Attention Synthesizer for Efficient Language Model Inference

    Yuan Zhou, Shaojie Xiang, Lingfan Yu, Zhenyu Song +2 more

    2026European Conference on Computer Systems0 citations Open access

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12. Teaching LLMs to Write System Kernels for AI Accelerators: Post-Training, Reasoning, and Agentic Optimization

    Youngsuk Park, R. Saha, Kaan Ozkara, Shaowei Zhu +7 more

    2026Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.20 citations Open access

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