Dinglan Peng

475 Stadium Mall Drive

West Lafayette, IN 47906

I am a fourth-year Ph.D. student in the Department of Computer Science at Purdue University, advised by Prof. Pedro Fonseca. I received my B.Eng. in Computer Science and Technology from University of Science and Technology of China in 2021.

My research interest lies in operating systems and security, especially sandboxing, isolation, and virtualization for building secure and efficient software.

Publications

EuroSys ’25 Atifact Available

Pegasus: Transparent and Unified Kernel-Bypass Networking for Fast Local and Remote Communication

Dinglan Peng, Congyu Liu, Tapti Palit, Anjo Vahldiek-Oberwagner, Mona Vij, and Pedro Fonseca

In Proceedings of the 20th European Conference on Computer Systems (To appear), 2025

Bib

@inproceedings{pegasus,
  author = {Peng, Dinglan and Liu, Congyu and Palit, Tapti and Vahldiek-Oberwagner, Anjo and Vij, Mona and Fonseca, Pedro},
  title = {Pegasus: Transparent and Unified Kernel-Bypass Networking for Fast Local and Remote Communication},
  year = {2025},
  booktitle = {Proceedings of the 20th European Conference on Computer Systems (To appear)},
  location = {Rotterdam, Netherlands},
  series = {EuroSys '25}
}

SOSP ’23

Snowcat: Efficient Kernel Concurrency Testing using a Learned Coverage Predictor

Sishuai Gong, Dinglan Peng, Deniz Altınbüken, Pedro Fonseca, and Petros Maniatis

In Proceedings of the 29th Symposium on Operating Systems Principles, 2023

Bib PDF

@inproceedings{10.1145/3600006.3613148,
  author = {Gong, Sishuai and Peng, Dinglan and Alt\i{}nb\"{u}ken, Deniz and Fonseca, Pedro and Maniatis, Petros},
  title = {Snowcat: Efficient Kernel Concurrency Testing using a Learned Coverage Predictor},
  year = {2023},
  isbn = {9798400702297},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  doi = {10.1145/3600006.3613148},
  booktitle = {Proceedings of the 29th Symposium on Operating Systems Principles},
  pages = {35–51},
  numpages = {17},
  keywords = {kernel concurrency bugs, operating systems security, software testing and debugging, concurrency programming},
  location = {Koblenz, Germany},
  series = {SOSP '23}
}

IEEE S&P ’23

μSwitch: Fast Kernel Context Isolation with Implicit Context Switches

Dinglan Peng, Congyu Liu, Tapti Palit, Pedro Fonseca, Anjo Vahldiek-Oberwagner, and Mona Vij

In 2023 IEEE Symposium on Security and Privacy (SP), 2023

Bib PDF

@inproceedings{10179284,
  author = {Peng, Dinglan and Liu, Congyu and Palit, Tapti and Fonseca, Pedro and Vahldiek-Oberwagner, Anjo and Vij, Mona},
  booktitle = {2023 IEEE Symposium on Security and Privacy (SP)},
  title = {μSwitch: Fast Kernel Context Isolation with Implicit Context Switches},
  year = {2023},
  volume = {},
  number = {},
  pages = {2956-2973},
  keywords = {Privacy;Codes;Memory management;Switches;Libraries;Browsers;Security;Systems security;operating systems security},
  doi = {10.1109/SP46215.2023.10179284}
}

NeurIPS ’21

Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding

Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, and Tie-Yan Liu

In Proceedings of the 35th International Conference on Neural Information Processing Systems, 2021

Bib PDF

@inproceedings{10.5555/3540261.3542007,
  author = {Luo, Shengjie and Li, Shanda and Cai, Tianle and He, Di and Peng, Dinglan and Zheng, Shuxin and Ke, Guolin and Wang, Liwei and Liu, Tie-Yan},
  title = {Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding},
  year = {2021},
  isbn = {9781713845393},
  publisher = {Curran Associates Inc.},
  address = {Red Hook, NY, USA},
  booktitle = {Proceedings of the 35th International Conference on Neural Information Processing Systems},
  articleno = {1746},
  numpages = {13},
  series = {NIPS '21}
}

ICML ’21

How could Neural Networks understand Programs?

Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, and Tie-Yan Liu

In Proceedings of the 38th International Conference on Machine Learning, 2021

Bib URL PDF

@inproceedings{pmlr-v139-peng21b,
  title = {How could Neural Networks understand Programs?},
  author = {Peng, Dinglan and Zheng, Shuxin and Li, Yatao and Ke, Guolin and He, Di and Liu, Tie-Yan},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning},
  pages = {8476--8486},
  year = {2021},
  editor = {Meila, Marina and Zhang, Tong},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}