Minshen Zhang

UC San Diego

Master in Computer Science (CS75)

ShanghaiTech University

Bachelor of Computer Science and Technology

Overall GPA: 3.69/4.0; Major GPA: 3.8+/4.0

English Tests: TOEFL(100), GRE(320), CET6(602), CET4(607), Duolingo(135)

UC Berkeley Extension

Berkeley GLOBE Student Program

Overall GPA: 4.0/4.0

Shanghai Qizhi Institute

Machine Learning and Computer Graphics Research Group

Advisor: Prof. Tao Du (Tsinghua University)

Developed real-time machine learning algorithms for water surface reconstruction to assist robot control tasks. Based on Snell's law, derived the relationship between water surface normal vectors and visual information, proving the feasibility of machine learning approaches. Implemented core algorithms using Nvidia-Warp-Cuda, achieving breakthrough performance (from 500ms to 8ms per frame).

Shanghai Kewei Tu Lab

Natural Language Processing and Large Language Models Research Group

Advisor: Prof. Kewei Tu (ShanghaiTech University)

Investigating how Feed-Forward Networks (FFN) in Transformers can be viewed as modeling key-value pairs for a set of global concepts. Exploring the modeling of associations between these concepts, which gives rise to a new FFN structure highly similar to the self-attention mechanism.

Shanghai ElanTech Lab

Embodied Intelligence Research Group

Advisor: Prof. Lan Xu (ShanghaiTech University)

Implemented and improved network structures including ResNet, BiRNN, Diffusion, and Transformers. Built large-scale human motion capture facilities using OptiTrack and Z-cam camera arrays for data collection. Integrated existing algorithms with Motion Diffusion Model to reconstruct human motion using IMU sensor signals.