CityU

Assistant Professor Xiaofeng Wu


Dr. Xiaofeng Wu

Assistant Professor Master Supervisor 

 

Personal homepage： https://shizukanaskytree.github.io/

Email：xiaofengwu@cityu.edu.mo

Tel：(853)8590 2260

Office address: Room S501, Stanley Ho Building, City University of Macau (Taipa) 

 

Educational qualifications 

2023 Doctor of Science: Computer Science, Deep Learning Framework, GPU Computing, University of Texas at Arlington, USA 

2016 Master of Science: 3D Integrated Circuit Design,  Department of Information, Production and Systems,  Waseda University, Japan 

2015 Bachelor of Engineering: Electronic Science, School of Electronic Science & Engineering ,Southeast University, China 

 

Incumbent 

Assistant Professor, Faculty of Data Science, City University of Macau 

 

Research direction 

Deep learning system (MLSys), large model training and inference 

 

Research and publishing 

  1. [ECCV’24] Xiaofeng Wu, Velibor Bojkovic, Bin Gu, Kun Suo, Kai Zou. FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion. In European Conference on Computer Vision.  2024. (TH-CP  A类)
  2. [ACMSE 2024] Suo, Kun, Long Vu, Md Romyull Islam, Nobel Dhar, Tu N. Nguyen, Selena He, and Xiaofeng Wu. "A Systematic Investigation of Hardware and Software in Electric Vehicular Platform." In Proceedings of the 2024 ACM Southeast Conference on ZZZ, pp. 9-17. 2024.
  3. [ACMSE 2024] Dhar, Nobel, Bobin Deng, Dan Lo, Xiaofeng Wu, Liang Zhao, and Kun Suo. "An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices." In Proceedings of the 2024 ACM Southeast Conference on ZZZ, pp. 69-76. 2024
  4. [Middleware'21] Wu, X., Rao, J., Chen, W., Huang, H., Ding, C., & Huang, H. (2021, December). Switchflow: preemptive multitasking for deep learning. In Proceedings of the 22nd International Middleware Conference (pp. 146-158). [Best paper award (1 out of 107 submissions)] (CCF B)
  5. [HPDC'21] Huang, H., Rao, J., Wu, S., Jin, H., Jiang, H., Che, H., & Wu, X. (2021, June). Towards exploiting CPU elasticity via efficient thread oversubscription. In Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing (pp. 215-226). (CCF B)
  6. [HPDC'19] Zhao, Y., Suo, K., Wu, X., Rao, J., Wu, S., & Jin, H. (2019, June). Preemptive multi-queue fair queuing. In Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing (pp. 147-158). (CCF B)
  7. [HPDC'19] Huang, H., Rao, J., Wu, S., Jin, H., Suo, K., & Wu, X. (2019, June). Adaptive resource views for containers. In Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing (pp. 243-254). (CCF B)
  8. [HotCloud'18] Wu, X., Suo, K., Zhao, Y., & Rao, J. (2018). A Side-channel Attack on {HotSpot} Heap Management. In 10th USENIX Workshop on Hot Topics in Cloud Computing.

Academic Awards 

2021 22nd International Middleware Conference Best paper award

Awarded a Student Grant to attend the USENIX ATC 2018 by the National Science Foundation and NetApp

2013 National College Student Electronic Design Competition Jiangsu Province First Prize, National Second Prize 

Bosch Scholarship (2014) 

 

Project fund  

(Macau) The Science and Technology Development Fund-Science and Technology Innovation Enhancement Plan 2023 approved project [0055/2023/ITP2] Using preemptive multi-tasking to improve the resource scheduling efficiency of deep learning systems (Project director) 

(Macau) The Science and Technology Development Fund-Science and Technology Innovation Enhancement Plan 2024 approved project [0071/2024/ITP2] Efficient adaptive automatic parallelization distributed training framework for heterogeneous computing environments (Project director)