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Achievement: Pull SharkAchievement: Starstruckx3Achievement: Arctic Code Vault Contributor
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MingSun-Tse/README.md

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]

Github stats

Pinned

  1. Efficient-Deep-Learning Efficient-Deep-Learning Public

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

    895 128

  2. snap-research/R2L snap-research/R2L Public

    [ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

    Python 182 22

  3. Collaborative-Distillation Collaborative-Distillation Public

    [CVPR'20] Collaborative Distillation for Ultra-Resolution Universal Style Transfer (PyTorch)

    Python 185 23

  4. Regularization-Pruning Regularization-Pruning Public

    [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

    Python 77 22

  5. Good-DA-in-KD Good-DA-in-KD Public

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

    Python 34 2

  6. ASSL ASSL Public

    [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

    Python 58 7