Qing Jin
11 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (6) π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(6)
π
Grand Slam
β‘
Prolific Year
(5)
π
Century Club
(11)
β
The Questioner
π₯
Unstoppable
(5)
Conferences
CVPR (3)
AAAI (2)
ICML (2)
NIPS (2)
ECCV (1)
ICLR (1)
Top co-authors
Keywords
model compression
(5)
neural network optimization
(2)
edge computing
(2)
neural architecture search
(2)
mobile inference
(2)
neural network pruning
(2)
reinforcement learning
(1)
lottery ticket hypothesis
(1)
model quantization
(1)
knowledge distillation
(1)
network pruning
(1)
weight initialization
(1)
text-to-image generation
(1)
image-to-image translation
(1)
image generation
(1)
diffusion model
(1)
bayesian optimization
(1)
vision transformer
(1)
efficient computing
(1)
semantic segmentation
(1)
Papers
E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
ICML 2024
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
NIPS 2023
Towards Real-Time Segmentation on the Edge
AAAI 2023
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
ECCV 2022
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
ICLR 2022
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
CVPR 2021
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
AAAI 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NIPS 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
CVPR 2021
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
ICML 2021
AdaBits: Neural Network Quantization With Adaptive Bit-Widths
CVPR 2020