CV
Work Experience
- Huawei, 2022.11-
- Position: Software Engineer
- Description: Designing and programming for distributed storage systems.
Education Background
- Master in University of Tokyo, 2020.09-2022.03 (Not Finished)
- Major: Applied Computer Science
- Research topic: Game AI design
- B.S. in Peking University, 2015.09-2019.07
- Major: Computer Science and Technology
- School of Electronic Engineering and Computer Science
- GPA: 3.47/4.00 (37%)
- Double Major: Mathematics and Applied Mathematics
- School of Mathematical Science
- GPA: 3.21/4.00
Interests
- AI design using deep reinforcement learning
- Computer Graphics (mainly about rendering, model construction)
- Math algorithm (mainly about numerical optimization) implementation and optimization
- Other interdisciplinary field of mathematics and computer science.
Projects
- Reconstruction of 3D Object in X-CT with Accleration
- In the group of Prof. Guojie Luo, CECA, Peking University
- Contribution: part of CPU code implementation and optimization; evaluation model construction
- Data-driven QoE Improvment of High Speed Rail Networking
- In the group of Prof. Chenren Xu, CECA, Peking University
- Contribution: design and implementation of scheduling algorithm; evaluation and tunning
- Graduation design with the same name
- RISC-V Simulator
- Lab on Computer Organization and architecture
- Functional Simulator with Performance Analysis
- MiniC Compiler
- Practice for Compiler Design
- A Comparison of Multiple Classifier for Font Recognition
- Course Project of Pattern Recognition
- Contribution: implementation, evaluation and discussion of method KNN, mean-shift and DCNN
Publication
- Xiuhong Li, Yun Liang, Wentai Zhang, Taide Liu, Haochen Li, Guojie Luo, and Ming Jiang, ``cuMBIR: An Efficient Framework for Low-dose X-ray CT Image Reconstruction on GPUs’’, ACM International Conference on Supercomputing (ICS 2018) PDF
Practice Experience
- Autumn 2017: Teaching Assistant
- Course: Introduction to Computer Systems
- Spring 2018: Teaching Assistant
- Course: Algorithm Design and Analysis
Awards
- PKU ACM programming contest, 3rd prize, 2017
Skills
- Languages:
- Chinese: Native Speaker
- English: Functional (CET-6: 465; TOEIC LR: 390+450=840)
- Japanese: Talkable (J-TEST: C(606))
- Programming:
- Proficient: C/C++ (Linux), Python3
- Capable: MATLAB, CUDA, Scheme, Assembly(x86_64)