Wujie Wen
12 papers · 2018–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (25) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(56)
Top co-authors
Research topics
Machine Learning
(10)
Application Areas
(7)
Deep Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Architectures
(4)
Optimization & Theory Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Core Methods
(2)
Learning Types Β· Machine Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Security & Privacy
(1)
Keywords
model compression
(4)
homomorphic encryption
(4)
graph convolutional network
(3)
neural network inference
(2)
robust accuracy
(2)
deep neural network
(2)
privacy-preserving inference
(2)
privacy-preserving machine learning
(2)
image compression
(2)
neural network optimization
(2)
encrypted inference
(2)
error-correcting code
(2)
multi-class classification
(1)
feature extraction
(1)
robust inference
(1)
efficient computing
(1)
image segmentation
(1)
semantic segmentation
(1)
adversarial example
(1)
weight pruning
(1)
Papers
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
NeurIPS 2024
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
ICCV 2023
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects
ICML 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
NeurIPS 2023
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
NeurIPS 2023
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
ICML 2023
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
NeurIPS 2022
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
ECCV 2020
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
CVPR 2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
CVPR 2019
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks
AAAI 2019
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
ECCV 2018