publications

2025

1. IoT

   From Machine Learning-Based to LLM-Enhanced: An Application-Focused Analysis of How Social IoT Benefits from LLMs

   Lijie Yang, and Runbo Su

   IEEE Internet of Things Journal, Apr 2025
2. ICLR

   TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention

   Lijie Yang^*, Zhihao Zhang^*, Zhuofu Chen, Zikun Li, and Zhihao Jia

   In proceedings of International Conference on Learning Representations, Apr 2025

   Bib Code Website

   @article{yang2024tidaldecodefastaccuratellm,
     title = {TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention},
     author = {Yang, Lijie and Zhang, Zhihao and Chen, Zhuofu and Li, Zikun and Jia, Zhihao},
     year = {2025},
     eprint = {2410.05076},
     journal = {In proceedings of International Conference on Learning Representations},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2410.05076},
   }

2024

1. LCN

   Blocking-Waived Estimation: Improving the Worst-Case End-To-End Delay Analysis in Switched Ethernet

   Lijie Yang, Théo Docquier, Ludovic Thomas, and Ye-Qiong Song

   In Proceedings of Local Computer Networks, Apr 2024

   Bib Code Website

   @article{lcn2024bwe,
     title = {Blocking-Waived Estimation: Improving the Worst-Case End-To-End Delay Analysis in Switched Ethernet},
     author = {Yang, Lijie and Docquier, Théo and Thomas, Ludovic and Song, Ye-Qiong},
     journal = {In Proceedings of Local Computer Networks},
     year = {2024},
   }

2. ICML

   Accelerating Retrieval-augmented Language Model Serving with Speculation

   Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, and Zhihao Jia

   In Proceedings of International Conference on Machine Learning, Apr 2024

   Bib Code Website

   @article{zhang2024accelerating,
     title = {Accelerating Retrieval-augmented Language Model Serving with Speculation},
     author = {Zhang, Zhihao and Zhu, Alan and Yang, Lijie and Xu, Yihua and Li, Lanting and Phothilimthana, Phitchaya Mangpo and Jia, Zhihao},
     journal = {In Proceedings of International Conference on Machine Learning},
     year = {2024},
   }

3. ASPLOS

   SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification

   Xupeng Miao^*, Gabriele Oliaro^*, Zhihao Zhang^*, Xinhao Cheng^*, Zeyu Wang, Zhengxin Zhang, Rae Ying Yee Wong, Alan Zhu, Lijie Yang, and 6 more authors

   In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, Apr 2024

   Bib Code Website

   @inproceedings{Miao_2024,
     series = {ASPLOS ’24},
     title = {SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification},
     url = {http://dx.doi.org/10.1145/3620666.3651335},
     doi = {10.1145/3620666.3651335},
     booktitle = {Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3},
     publisher = {ACM},
     author = {Miao, Xupeng and Oliaro, Gabriele and Zhang, Zhihao and Cheng, Xinhao and Wang, Zeyu and Zhang, Zhengxin and Wong, Rae Ying Yee and Zhu, Alan and Yang, Lijie and Shi, Xiaoxiang and Shi, Chunan and Chen, Zhuoming and Arfeen, Daiyaan and Abhyankar, Reyna and Jia, Zhihao},
     year = {2024},
     month = apr,
     collection = {ASPLOS ’24},
   }

2023

1. HAL

   Technical Report: Worst-case Delay Analysis: a Simulation-based Comparison between Flow Aggregation and CPA

   Lijie Yang

   Jan 2023

   Bib PDF

   @techreport{yang:hal-03970717,
     title = {{Technical Report: Worst-case Delay Analysis: a Simulation-based Comparison between Flow Aggregation and CPA}},
     author = {Yang, Lijie},
     url = {https://hal.science/hal-03970717},
     institution = {{LORIA (Universit{\'e} de Lorraine, CNRS, INRIA) ; Carnegie Mellon University}},
     year = {2023},
     month = jan,
     keywords = {Worst-Case Delay (WCD) analysis ; Compositional Performance Analysis (CPA) ; Flow Aggregation (FA) ; Comparison ; pyCPA},
     hal_id = {hal-03970717},
     hal_version = {v1}
   }