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Name: Yulu

Type: User

Company: Peking University

Bio: Incoming PhD student at MIT CSAIL; Peking University

Location: Beijing, China

Blog: www.yulugan.com

Bio

Hi there, I am Yulu Gan, an incoming PhD student at CSAIL, MIT.

Previously, I interned at Microsoft and graduated from Peking University in 2024. In 2023, I was a visiting student at CBMM, MIT, studying ML theory, and also conducted several months of remote research at EECS, UC Berkeley.

Research interests

I am interested in understanding the emergence of intelligence via embodied agents and ML theory.

To chat about research, please contact me at [email protected]

Interests Beyond Research

Swimming, Basketball, Badminton, Reading, Saxophone

Blogs

Some of my early blogs on ML, CV, and RL in Chinese.

Recent talks:

How to build Vision Generalists - the presentation for the ICLR paper InstructCV.

Visual Prompting for Continual Test Time Adaptation - the presentation for the AAAI Outstanding Student Paper VDP.

Project pages:

Here are some websites where my papers have been featured.

Yulu's Projects

awesome-instruction-dataset

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

awesome-source-free-test-time-adaptation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

awesome-test-time-adaptation

awesome_prompting_papers_in_computer_vision

A curated list of prompt-based paper in computer vision and vision-language learning.

bimt

Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.

daformer

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

derl

Code for "Embodied Intelligence via Learning and Evolution", Gupta et al, Nature Communications

detr

End-to-End Object Detection with Transformers

dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

forward-forward-network

Implementation of Forward Forward Network proposed by Hinton in NIPS 2022.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

hpg

A beautiful, simple, clean, and responsive Jekyll theme for academics

instructcv

Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"

intelligent-logistics-car

code for the intelligent car project

llama

Inference code for LLaMA models

llama.cpp

Port of Facebook's LLaMA model in C/C++

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

medical-delivery-robot

code for the 1st prize medical robot in World Cup Robot Competition

mmdetection

OpenMMLab Detection Toolbox and Benchmark

monocular-depth-estimation-toolbox

Monocular Depth Estimation Toolbox based on MMSegmentation.

n-w-estimator

nebuly

The next-generation platform to monitor and optimize your AI costs in one place 🚀

open-sora

Open-Sora: Democratizing Efficient Video Production for All

painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

pix2seq

Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-radial-basis-function-layer

An implementation of an RBF layer/module using PyTorch.

pytorchrbflayer

Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.