Yuqi Hu
Welcome! I am Yuqi Hu, currently conducting research as an intern at the Translational Mechanobiology Laboratory, National University of Singapore. My research focuses on integrating medical domain knowledge into machine learning frameworks to enhance model efficiency, and developing artificial intelligence solutions for challenges in medical science. If you need further information, please refer to my CV.
Education
Nanyang Technological University
Aug 2023 - Jun 2024
M.Sc. in Signal Processing
CGPA: 5.00 / 5.00
Beijing University of Posts and Telecommunications
Aug 2019 - Jun 2023
B.Eng. in Information Enginerring
CGPA: 3.69 / 4.00 (Ranking:21/200)
Research
Neurite Morphology Analysis
I developed a neurite analysis pipeline that integrates semantic segmentation into the analysis procedure to enhance quantitative image characterization. The pipeline reduces analysis time to one minute per image, one-tenth of the original manual processing time.[Read more]
Design and implementation of object detection algorithm based on spiking neural network
I developed a spike-vision dataset conversion pipeline for COCO, PASCAL VOC, and proprietary datasets, thereby facilitating the efficient training of spiking neural networks. Furthermore, I implemented and optimized algorithms for the conversion from artificial neural networks (ANN) to spiking neural networks (SNN) for object detection tasks, with a primary focus on enhancing the efficiency of spike-based inference.[Read more]
Ranking-Aware Contrastive Learning with Large Language Models
This project explores the use of a contrastive learning framework combined with ranking knowledge to enhance the generation and retrieval of sentence embeddings, aiming to more accurately identify the most similar sentences in in-context learning scenarios. Subsequent experiments tested various ranking strategies within the contrastive learning framework, yielding novel insights and conclusions.[Read more]
Beyond Research
Sports
Jogging, Soccer, American Football
Music
Erhu, Guitar, Composition, Music Comments