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Name: Huan Wang

Type: User

Company: Northeastern University

Bio: PhD at NEU | MS/BE at ZJU | Interned @Google/Snap/MERL/Alibaba | Work on Efficient Deep Learning, Neural Rendering, GenAI, CV, ML

Twitter: huanwangx

Location: Boston, USA

Blog: https://huanwang.tech

Hi there 👋

I am a Ph.D. candidate at SMILE Lab of Northeastern University (Boston, USA). Before that, I spent seven wonderful years at Zhejiang Univeristy (Hangzhou, China) to get my B.E. and M.S. degrees.

I am interested in a variety of topics in computer vision and machine learning. My research works orbit efficient deep learning (a.k.a. model compression), spanning from the most common image classifcation task (GReg, Awesome-PaI, TPP) to neural style transfer (Collaborative-Distillation), single image super-resolution (ASSL, SRP), and 3D novel view synthesis (R2L, MobileR2L).

I do my best towards easily reproducible research.

🔥 NEWS: [NeurIPS'23] We are excited to present SnapFusion, a super-efficient mobile diffusion model that can do text-to-image generation in less than 2s🚀 on mobile devices! [Arxiv] [Webpage]
🔥 NEWS: [CVPR'23] Check out our new blazing fast🚀 neural rendering model on mobile devices: MobileR2L (the lightweight version of R2L), can render 1008x756 images at 56fps on iPhone13 [Arxiv] [Code]
🔥 NEWS: [ICLR'23] Check out the very first trainability-preserving filter pruning method: TPP [Arxiv] [Code]
🔥 NEWS: Check out our preprint work that deciphers the so confusing benchmark situation in neural network (filter) pruning: [Arxiv] [Code]
✨ NEWS: Check out our investigation of what makes a "good" data augmentation in knowledge distillation, in NeurIPS 2022: [Webpage] [Code]
✨ NEWS: Check out our Efficient NeRF project via distillation, in ECCV 2022: [R2L]

Huan Wang's Projects

efficient-deep-learning

Collection of recent methods on (deep) neural network compression and acceleration.

efficient-nerf

efficient-transformers

Recent Advances on Efficient Transformers

efficient_graph_similarity_computation

eigendamage-pytorch

Pytorch implementations of the paper "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis".

facenet

Tensorflow implementation of the FaceNet face recognizer

fast-human-pose-estimation.pytorch

Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419

fastphotostyle

Style transfer, deep learning, feature transform

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

good-da-in-kd

[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

group-sparsity-sbp

Structured Bayesian Pruning, NIPS 2017

interpretable-deep-learning

loadcaffe

Load Caffe networks in Torch7

loss-landscape

Code for visualizing the loss landscape of neural nets

lowlevelvision

paper collection for low-level vision

meal

Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019

mingsun-tse

mingsun-tse.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mmvid

[CVPR 2022] Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

mnn

MNN is a lightweight deep neural network inference engine.

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

msgan

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

nerf

Code release for NeRF (Neural Radiance Fields)

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

nsfw_data_source_urls

Collection of NSFW images URLs for the purposes of training an NSFW Image Classifier

pifu

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

pointmlp-pytorch

(ICLR 2022 poster) Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

prml

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