Wujie Wen
12 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (11)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(26)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π
Conference Pioneer
ποΈ
Keyword Collector
(56)
π
Century Club
(12)
π
Trend Setter
β‘
Prolific Year
(5)
Conferences
NIPS (4)
CVPR (2)
ECCV (2)
ICML (2)
AAAI (1)
ICCV (1)
Top co-authors
Research topics
Keywords
model compression
(4)
homomorphic encryption
(4)
graph convolutional network
(3)
neural network inference
(2)
encrypted inference
(2)
privacy-preserving machine learning
(2)
robust accuracy
(2)
deep neural network
(2)
privacy-preserving inference
(2)
neural network optimization
(2)
error correcting code
(2)
image compression
(2)
error correcting output code
(1)
multi-class classification
(1)
feature extraction
(1)
robust inference
(1)
efficient computing
(1)
image segmentation
(1)
adversarial example
(1)
semantic segmentation
(1)
Papers
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
NIPS 2024
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
ICCV 2023
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
NIPS 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
NIPS 2023
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects
ICML 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
NIPS 2022
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
ECCV 2020
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
CVPR 2019
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
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