Jiayan Chen (陈嘉焰)

Junior undergraduate in Beijing Normal University (BNU)
Artificial Intelligence (Innovation Program)

This page was updated on 6th June, 2024

Education and Experience

• South China Normal University Affiliated High School（Sep 2018 - Jun 2021）
• Beijing Normal University（Sep 2021 – Present）
  • B.Eng. Artificial Intelligence (Innovation Program)
• RA in Institute of AI and Future Networks, Beijing Normal University (Mar 2023 – Present)
  • Conducted federated learning research under the guidance of Prof. Tianhui Meng, Prof. Tian Wang and Prof. Weijia Jia.
• Intern in IRPN LAB, HKUST (GZ) (Apr 2024 – Present)
  • Supervised by Dr. Haoang Li, now focusing on autonomous driving data generation.

Potential Research Interests

Autonomous Driving, ML systems, High-Performance Computing, GPGPUs, Federated Learning.

Skills

• Languages：Native in Cantonese & Mandarin, Professional Working Proficiency in English.
• Coding: Python, C++, Markdown, Matlab, LATEX, Verilog, . . .
• Tools: ChatGPT, Pytorch, Git, Unix Shell, VS Code, Jupyter, DaVinci Resolve, . . .

Projects

• The generation of 3DGS scenarios for autonomous roadways based on Bird’s Eye View (BEV) (2024.04 - Present)
  • Currently, I am co-responsible for the code development for incremental Gaussian generation.
• Semi-Synchronous Hierarchies and Credibility Management for Robust Federated Learning (Nov 2023 - Present)
  • Design an efficient and secure semi-synchronous aggregation algorithm in the HFL framework. Now doing possible various attempts to optimize the training process in the HFL framework. The paper was submmited to NeurIPS 2024.
• Fed-Credit: Robust Federated Learning with Credibility Management (Mar 2023 - Dec 2023)
  • Proposed a robust federated learning framework based on Credibility value to resist various potential attacks during federated learning training. The paper was submmited to TOPS (Under Review).
• The “One Lifetime One Chip” program (Aug 2023 - Present)
  • It’s a program primarily aims to provide participating students with exposure to the entire process of chip development and flow, allowing students to have a RISC-V chip of their own.
  • I am very interested in the development of AI chips, and I joined immediately after learning about this project. I have currently completed all content in the pre-learning stage, and after passing the defense, I am about to enter the learning phase B & A.
• Migrating ROS-based VIO algorithms to the openEuler platform (Jun 2022 - Oct 2022)
  • A project of OSPP(Open Source Promotion Plan) 2022, assisted in migrating the SVO(Semi-direct Visual Odometry) algorithm to the OpenEuler operating system basic on Ros.

Honors

1. (2021-2022) First Class Scholarship, Beijing Normal University.
2. (2022-2023) Second Class Scholarship, Beijing Normal University.
3. (2022-2023) Outstanding Student Cadre, Beijing Normal University.
4. (Sep 2023) Second Prize in CUMCM, Guangdong Division.
5. (May 2023) Third Prize in China University Computer Design Contest, Guangdong Division.
6. (April 2024) Third Prize in the 15th lanqiao Cup (C/C++), Guangdong Division.