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  • 💫 About Me:
    • I am a Ph.D. candidate in ISE@Lehigh, working on optimizaiton and deep learning.
    • My publications can be found here.

💻 Tech Stack:

R LaTeX Python NumPy Pandas Plotly PyTorch scikit-learn SciPy

📊 GitHub Stats:




Yutong Dai's Projects

eposearch icon eposearch

Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

fednh icon fednh

Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.

gpt4roi icon gpt4roi

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

lisa icon lisa

Project Page for "LISA: Reasoning Segmentation via Large Language Model"

llava icon llava

[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

only_train_once icon only_train_once

[ICLR 2023] OTOv2: Automatic, Generic, User-Friendly; [NeurIPS 2021] Only Train Once: A One-Shot Neural Network Training And Pruning Framework

pfl-non-iid icon pfl-non-iid

Personalized federated learning simulation platform with Non-IID and unbalanced dataset

prismatic-vlms icon prismatic-vlms

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

projects icon projects

Documents and Source Code for all my projects

rela icon rela

[CVPR2023 Highlight] GRES: Generalized Referring Expression Segmentation

s-pstorm icon s-pstorm

Source code for the work A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization accepted by AISTATS2023.

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