Shuai Zheng
21 papers · 2013–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(12)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(114)
💎
Century Club
(21)
🔥
Unstoppable
(8)
🚀
Conference Pioneer
Conferences
CVPR (5)
ICML (4)
NIPS (4)
ICCV (3)
AAAI (1)
ECCV (1)
IJCAI (1)
JMLR (1)
NSDI (1)
Top co-authors
Keywords
semantic segmentation
(3)
communication efficiency
(2)
end-to-end training
(2)
distributed learning
(2)
image segmentation
(2)
stochastic optimization
(2)
deep learning
(2)
gradient compression
(2)
convolutional neural network
(2)
visual saliency
(1)
logistic regression
(1)
natural language processing
(1)
contrastive learning
(1)
video segmentation
(1)
computer vision
(1)
anomaly detection
(1)
zero-shot learning
(1)
batch normalization
(1)
mean field approximation
(1)
graph representation learning
(1)
Papers
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft
AAAI 2025
Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection
CVPR 2024
DISTMM: Accelerating Distributed Multimodal Model Training
NSDI 2024
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness
CVPR 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
NIPS 2023
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens
NIPS 2023
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
ICML 2022
Removing Batch Normalization Boosts Adversarial Training
ICML 2022
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
JMLR 2020
CSER: Communication-efficient SGD with Error Reset
NIPS 2020
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning
CVPR 2020
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
NIPS 2019
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
ICML 2018
Fast End-to-End Trainable Guided Filter
CVPR 2018
Conditional Image-Text Embedding Networks
ECCV 2018
Follow the Moving Leader in Deep Learning
ICML 2017
Fast-and-Light Stochastic ADMM
IJCAI 2016
Conditional Random Fields as Recurrent Neural Networks
ICCV 2015
Dense Semantic Image Segmentation with Objects and Attributes
CVPR 2014
Efficient Salient Region Detection with Soft Image Abstraction
ICCV 2013
Robust Non-parametric Data Fitting for Correspondence Modeling
ICCV 2013