News


Feb 2025
My paper "InkStream: Instantaneous GNN Inference on Dynamic Graphs via Incremental Update" is accepted by IPDPS 2025!

Jun 2024
Started internship at AMD Sinagpore! ;)

Oct 2023
My paper "Flip: Data-Centric Edge CGRA Accelerator" is accepted by TODAES!

Mar 2022
Invited as Young Fellow DAC 2022.

  Dan Wu 

PhD Student

School of Computing
National University of Singapore

L2-17, 11 Research Link, Singapore 119391

Email: dan.w [AT] u.nus.edu
• [CV]  • [Google Scholar]   • [GitHub]

I am a final year PhD student in School of Computing, National University of Singapore, supervised by Prof. Tulika Mitra. My research is related to software-hardware codesign, reconfigurable accelerators, graph application acceleration, including classic graph algorithms and Graph Neural Networks.

Education

National University of Singapore, Singapore
PhD Student                   August 2020 - Present, Singapore
Advisior: Prof. Tulika Mitra
School of Data Science, Fudan University, China
B.Sc. in Data Science                   August 2015 - June 2020, Shanghai
Advisor: Prof. Yanghua Xiao and rof. Deqing Yang

Work Experiences

Research Intern     AMD Singapore, June 2024 - Dec 2024
Work with: Dr. Haris Javaid
Research Assistant     The Hong Kong Polytechnic University, July 2019 - Dec 2019
Work with: Prof. Jiannong Cao

Selected Publications




Preprint Papers:
  • Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems
    Zhenyu Bai, Dan Wu, Pranav Dangi, Dhananjaya Wijerathne, Venkata Pavan Kumar Miriyala, and Tulika Mitra.
    In submission.



    • Published Papers:
  • InkStream: Instantaneous GNN Inference on Streaming Graphs via Incremental Update
    Dan Wu, Zhaoying Li, and Tulika Mitra.
    39th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2025
     [paper]   [code]

  • Flip: Data-Centric Edge CGRA Accelerator
    Dan Wu, Peng Chen, Thilini Kaushalya Bandara, Zhaoying Li, and Tulika Mitra.
    ACM Transactions on Design Automation of Electronic Systems (TODAES), 2023
     [paper]  

  • FLEX: Introducing FLEXible Execution on CGRA with Spatio-Temporal Vector Dataflow
    Thilini Kaushalya Bandara, Dan Wu, Rohan Juneja, Dhananjaya Wijerathne, Tulika Mitra, and Li-Shiuan Peh.
    42nd ACM/IEEE International Conference on Computer Aided Design (ICCAD), 2023
     [paper]  [code]

  • Lisa: Graph neural network based portable mapping on spatial accelerators
    Zhaoying Li, Dan Wu, Dhananjaya Wijerathne, and Tulika Mitra.
    28th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022
     [paper]  [code]   Distinguished Artifact Award

  • Mining verb-oriented commonsense knowledge
    Jingping Liu, Yuanfu Zhou, Dan Wu, Chao Wang, Haiyun Jiang, Sheng Zhang, Bo Xu, and Yanghua Xiao.
    IEEE 36th International Conference on Data Engineering (ICDE), 2020.
     [paper]


    • Teaching Assistant


    2022: [CS3237] Introduction to Internet of Things (Dr. Boyd Anderson).
    2021: [CS3237] Introduction to Internet of Things (Dr. Colin Tan and Dr. Boyd Anderson).



    Last update: Sep 20, 2023. Webpage template borrows from Dr. Zemin Liu.