CV

Education

Institute of Software Chinese Academy of Sciences, PhD, 2022 - Present

• Research focus: Multimodal Large Language Model and Embodied AI
• Supervisor: Prof. Changwen Zheng and Prof. Wenwen Qiang

Beijing University of Technology, B.E., 2018 - 2022

• Graduated with First Class Honours

Experience

Research Intern Beijing Academy of Artificial Intelligence (BAAl) 2022 - 2023

• Contributed to the core development of the Neuron close-source platform, focusing on distributed training framework optimization.
• Enhanced the training efficiency of large-scale models through sparse strategies and operator fusion.

Algorithm Engineer Intern Microsoft 2021 - 2022

• Researched the application of MML models in emotion recognition, specializing in the deep alignment of text, audio, and visual features.
• Developed robust representation models for fine-grained affective understanding in complex, real-world interaction scenarios.

Algorithm Engineer Intern Aqrose Technology 2020.6 - 2020.9

• Developed motion planning algorithms for industrial vision-guided robots, implementing B-Spline curves to generate high-order continuous and smooth trajectories.
• Optimized path-searching efficiency under complex kinematic constraints, balancing motion smoothness with real-time obstacle avoidance precision.

Skills

• Programming: Python, C++, MATLAB, LaTeX, Java
• Deep Learning: CNN, GNN, RNN, Transformer, Diffusion/Flow, MLLM, RL
• Languages: Chinese (Native), English (CET-6), Korean (Fluent)

Awards & Honors

• National Scholarship - Ministry of Education of the People's Republic of China (2023/2024)
• Pacemaker to Merit Student - University of Chinese Academy of Sciences (2023/2024/2025)