Huan Wang

Welcome to my webpage! My name is Huan Wang (Chinese: 王欢. My first name means "happiness or joy" in Chinese, a simple and ultimate wish from my parents). I am now a 4th-year Ph.D. candidate at SMILE Lab, Northeastern University (Boston, USA), advised by Prof. Yun (Raymond) Fu. Before that, I received my M.S. (2019) and B.E. (2016) degrees from Zhejiang University (Hangzhou, China), advised by Prof. Haoji Hu. During 2018 summer, I visited VLLab at University of California, Merced, luckily working with Prof. Ming-Hsuan Yang. I also actively collaborate with fatanstic industrial researchers from Snap / MERL / Meta / Alibaba Group, etc.

My research works orbit Efficient Deep Learning (a.k.a. Model Compression), spanning the most common image classifcation task (GReg, Pruning-at-Initialization Survey, TPP) to neural style transfer (Collaborative-Distillation, single image super-resolution (ASSL/GASSL, SRP) and 3D novel view synthesis / NeRF / NeLF (R2L, MobileR2L).

I do my best towards easily reproducible research.

Google Scholar  /  GitHub  /  LinkedIn  /  Twitter

profile photo
News
My Research [Google Scholar]
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang, Can Qin, Yue Bai, Yun Fu
Preprint, 2023
ArXiv
Code
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Huan Wang*, Yulun Zhang*, Can Qin, Luc Van Gool, Yun Fu (*Equal Contribution)
TPAMI, 2023
PDF
Code
Real-Time Neural Light Field on Mobile Devices
Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren
In CVPR, 2023
Project Webpage
ArXiv
Code
Trainability Preserving Neural Pruning
Huan Wang, Yun Fu
In ICLR, 2023
OpenReivew
ArXiv
PyTorch Code
Image as Set of Points
Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu
In ICLR (Oral, 5%), 2023
Project Webpage
OpenReview
PyTorch Code
What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
Huan Wang, Suhas Lohit, Mike Jones, Yun Fu
In NeurIPS, 2022
Project Webpage
ArXiv
PyTorch Code
Parameter-Efficient Masking Networks
Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
In NeurIPS, 2022
ArXiv
PyTorch Code
Look More but Care Less in Video Recognition
Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu
In NeurIPS, 2022
ArXiv
PyTorch Code
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov
In ECCV, 2022
Project Webpage
ArXiv
PyTorch Code
Recent Advances on Neural Network Pruning at Initialization
Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu
In IJCAI, 2022
ArXiv
Paper Collection
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning
Huan Wang*, Yulun Zhang*, Can Qin, Yun Fu (*Equal Contribution)
In ICLR, 2022
Open Review
PyTorch Code
Dual Lottery Ticket Hypothesis
Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu
In ICLR, 2022
Open Review, ArXiv
PyTorch Code
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Huan Wang*, Yulun Zhang*, Can Qin, Yun Fu (*Equal Contribution)
In NeurIPS (Spotlight, <3%), 2021
Camera Ready
PyTorch Code
Neural Pruning via Growing Regularization
Huan Wang, Can Qin, Yulun Zhang, Yun Fu
In ICLR, 2021
ArXiv, OpenReview
PyTorch Code
Collabrotive Distillation for Ultra-Resolution Universal Style Transfer
Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang
In CVPR, 2020
ArXiv, Camera Ready
PyTorch Code
MNN: A Universal and Efficient Inference Engine
Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, et al
In MLSys (Oral), 2020
ArXiv
Code
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang, Xinyi Hu, Qiming Zhang, Yuehai Wang, Lu Yu, Haoji Hu
In NeurIPS Workshop, 2018; IJCNN, 2019 (Oral); Journal extension to IEEE JSTSP, 2019
NeurIPS Workshop, IJCNN, JSTSP
Caffe Code
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
Huan Wang*, Qiming Zhang*, Yuehai Wang, Haoji Hu (*Equal Contribution)
In BMVC, 2018 (Oral)
ArXiv, Camera Ready
Caffe Code
Talks
Professional Services
  • Journal Reviewer: IJCV, TIP, TNNLS, PR, JSTSP, Neurocomputing, etc.
  • Conference Reviewer: CVPR'22, ECCV'22, ICML'22, NeurIPS'22, ICLR'22, AAAI'23, IJCAI'23, CVPR'23, MLSys'23, ICCV'23, NeurIPS'23 etc.

(Stolen from Jon Barron)