Wenyu Chen
18 papers · 2019–2026 · 10 venues · across top CS/AI venues
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Achievements
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(5)
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Venues
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Research topics
Machine Learning
(14)
Artificial Intelligence
(9)
Deep Learning
(9)
Core AI
(8)
Core Methods
(8)
Natural Language Processing
(6)
Application Areas
(5)
Learning Types Β· Machine Learning
(5)
Applications
(4)
Architectures
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Learning Types Β· Deep Learning
(4)
Mathematics & Optimization
(3)
Learning Paradigms
(2)
Optimization
(2)
Optimization & Theory
(2)
Keywords
model compression
(2)
graph neural network
(2)
sparsity constraint
(2)
combinatorial optimization
(2)
event argument extraction
(2)
spiking neural network
(2)
energy efficiency
(2)
representation learning
(1)
computer vision
(1)
neural network pruning
(1)
principal component analysis
(1)
text classification
(1)
graph clustering
(1)
label propagation
(1)
feature extraction
(1)
model quantization
(1)
event camera
(1)
graph learning
(1)
noisy label learning
(1)
transfer learning
(1)
Papers
HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference
AAAI 2026
A Compressive Memory-based Retrieval Approach for Event Argument Extraction
COLING 2025
Diffusion Sampling Correction via Approximately 10 Parameters
ICML 2025
Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge
NAACL 2025
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing
AAAI 2025
One Node One Model: Featuring the Missing-Half for Graph Clustering
AAAI 2025
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
EMNLP 2025
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
ACL 2024
FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning
AISTATS 2024
Adaptive Textual Label Noise Learning based on Pre-trained Models
EMNLP 2023
Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features
EMNLP 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
ICML 2023
Substructure Aware Graph Neural Networks
AAAI 2023
Eliminating Gradient Conflict in Reference-Based Line-Art Colorization
ECCV 2022
Self-Paced Two-dimensional PCA
AAAI 2021
Latent Multi-view Semi-Supervised Classification
ACML 2019
Multiple Partitions Aligned Clustering
IJCAI 2019
Unifying Orthogonal Monte Carlo Methods
ICML 2019