Daniel Lin-Kit Wong's publications

Home » Publications

Patents

  1. "Learned graph optimizations for compilers", filed Dec 2021. WO2021248138A1
  2. "Computational graph optimization", filed Aug 2021. WO2021158267A1

Papers (Google Scholar)

  1. Daniel Lin-Kit Wong, Hao Wu, Carson Molder, Sathya Gunasekar, Jimmy Lu, Snehal Khandkar, Abhinav Sharma, Daniel S. Berger, Nathan Beckmann, Gregory R. Ganger
    Baleen: ML Admission & Prefetching for Flash Caches.
    USENIX Conference on File and Storage Technologies (FAST) 2024.
    PDF, Slides, Artifact, Traces, Code, Video (not uploaded yet, will be available here)
    Awarded USENIX Student Grant.

  2. Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Hanxiao Liu, Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon
    Transferable Graph Optimizers for ML Compilers.
    Conference on Neural Information Processing Systems (NeurIPS) 2020.
    PDF, NeurIPS (with video and slides)

  3. Thomas Kim, Daniel L.-K. Wong, Gregory R. Ganger, Michael Kaminsky, David G. Andersen.
    High availability in cheap distributed key value storage.
    ACM Symposium on Cloud Computing 2020 (SOCC'20)
    PDF, Article on ACM, Video (starts at 25:55)

  4. Angela H. Jiang, Daniel L.-K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminksy, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai
    Accelerating Deep Learning by Focusing on the Biggest Losers
    PDF, arXiV.

  5. Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon
    GDP: Generalized Device Placement for Dataflow Graphs
    PDF, arXiV.

  6. Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Lin-Kit Wong, Peter Ma, Qiumin Xu, Azalia Mirhoseini, James Laudon
    A Single-shot Generalized Device Placement for Large Dataflow Graphs
    IEEE Micro
    PDF, Article on IEEE

  7. Angela Jiang, Daniel Lin-Kit Wong, Christopher Canel, Ishan Misra, Michael Kaminsky, Michael A. Kozuch, Padmanabhan Pillai, David G. Andersen, Gregory R. Ganger
    Mainstream: Dynamic Stem-Sharing for Multi-Tenant Video Processing
    USENIX Annual Technical Conference (ATC) 2018.
    PDF

  8. Angela Jiang, Christopher Canel, Daniel Lin-Kit Wong, Michael Kaminsky, Michael A. Kozuch, Padmanabhan Pillai, David G. Andersen, Gregory R. Ganger
    Dynamic Stem-Sharing for Multi-Tenant Video Processing
    Systems for Machine Learning Conference (SysML) 2018.
    PDF

  9. Shuaizhao Jin, Xiangyun Meng, Daniel Lin-Kit Wong, Zixiao Wang, Ben Leong, Yabo Dong, Dongming Lu
    Improving Neighbor Discovery by Operating at the Quantum Scale
    IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS) 2018.
    PDF

  10. Daniel Lin-Kit Wong, Xiao-Li Li, Min Wu, Jie Zheng and See-Kiong Ng
    PLW: Probabilistic Local Walks for detecting protein complexes from protein interaction networks
    Presented in International Conference on Bioinformatics 2013 (InCoB2013).
    BMC Genomics 2013 Volume 14 Suppl 5, S15.
    Article on BMC | PDF | Project Website on GitHub
    Awarded APBioNet Travel Grant.