Name: yuqs
Type: User
Company: The Hong Kong University of Science and Technology (Guangzhou)
Bio: I am a in coming PhD in HKUST (GZ). My interests in efficient diffsuon/llm, model/dataset compression and optimization.
Location: Guangzhou, Guangdong, China
Blog: https://scholar.google.com.hk/citations?user=hmUOaNcAAAAJ&hl=zh-CN
yuqs's Projects
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
The official implementation of Catch-Up Distillation (CUD).
[ACCV 2022 Oral](What Role Does Data Augmentation Play in Knowledge Distillation ?) This repoditory is about the analysis of JDA and the implementation of CCD
be used to wangmingming
Datasets used in Plotly examples and documentation
[IJCAI 2023 workshop]Expanding dataset for 2D medical image segmentation using diffusion models
Document the demo and a series of documents for learning the diffusion model.
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Unofficial implementation of DSNet
Elucidated Dataset Condensation
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
Excellent English expression record in English literature
Focal and Global Knowledge Distillation for Detectors (CVPR 2022)
FM-KT for DeiT
fractalnet pytorch
pytorch version
[CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
SIFT pytorch add to layer
Applying GflowNet to generate the high-performance operator
gnn explainer
Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)
copy form how-do-vit-works, It contains a large number of SOTA visual models and losslandscape visualization
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"