CV
Education
- B.S. in Beijing, Tsinghua University, 2023
- M.S. in Shanghai, Shanghai Jiaotong University, 2025
Work Experience
- 2025.1-2025.5: Algorithm Expert
Internship Experience
- 2024.11 ~ 2025.7: LLM Algorithm Researcher
- Shanghai AILab.
- I developed a Hungarian low-resource LLM fine-tuning pipeline based on InternLM2.5 7B and Qwen2.5 7B by conducting post-pre-training with 20B Hungarian corpus and generating filtered high-diversity supervised data, and the optimized model surpassed GPT-4o mini on all 27 cross-domain benchmarks.
- I proposed IDEAL, an influence function-driven automatic data proportion adjustment framework for multi-capability LLM alignment to balance model performance across diverse tasks, which achieved a 7% comprehensive performance gain over competing methods and became my sole-first-author work accepted by ICLR 2026.
- Summer 2022: Researcher
- Shenzhen Flintstone Robotics Corporation Limited.
- Duties included: Control and Design of Robot Arm.
- Fall 2021: Researcher
- The Beijing General Artificial Intelligence Research Institute.
- Duties included: Design and implement a surface robots.
Skills
- DL(Pytorch)
- RL
- LLM
- Embedded Development
- C Development
- C++ Development
- Robot Development(ROS, Python)
Awards
- National Scholarship (国家奖学金), 2024-2025
Competition Experience / Awards
- The 24th “Electronic Design Contest” held at Tsinghua University. 2023.4
- Received the highest honor, the Grand Prize.
- The Baidu Creative Team participating in the National University Smart Car Competition: Silk Road. 2022.8
- Primarily responsible for the lane tracking and vehicle control aspects, respectively accomplishing the learning methods for traditional computer vision-based lane tracking and autonomous lane tracking using neural networks. Achieved the first prize in the national finals of the competition.
- RoboMaster University Sim2Real Challenge.2022.5
- The inaugural ICRA Sim2Real Robot Challenge, a simulated-to-real-world intelligent vehicle competition jointly organized by DJI and AIR. Primarily responsible for obstacle avoidance path planning in navigation SLAM. Achieved the 1st Prize, securing the second place.
- Tsinghua University’s “Xin Dong Plan” Science and Technology Winter Camp. 2019.12
- Accomplished autonomous line tracking and obstacle avoidance for the vehicle, successfully achieved image recognition (including traffic lights), ultimately receiving the highest honor, the Grand Prize, in the Xin Dong Plan.