Cheng Wu
9 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
ποΈ
Keyword Collector
(59)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Architectures
(4)
Computer Vision
(3)
Analysis
(3)
Learning Types Β· Machine Learning
(3)
Reinforcement Learning
(2)
Application Areas
(2)
Methods
(2)
Optimization & Theory
(2)
Processing
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Keywords
graph contrastive learning
(2)
deep reinforcement learning
(2)
self-supervised learning
(2)
sample efficiency
(1)
feature extraction
(1)
policy gradient
(1)
maximum entropy
(1)
sparse representation
(1)
object detection
(1)
markov decision process
(1)
data augmentation
(1)
autonomous driving
(1)
3d vision
(1)
low-rank decomposition
(1)
biometric authentication
(1)
function approximation
(1)
covariance matrix
(1)
feature space
(1)
policy iteration
(1)
metric learning
(1)
Papers
LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation
EMNLP 2025
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
AAAI 2025
Graph Contrastive Learning with Reinforcement Augmentation
IJCAI 2024
Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract)
AAAI 2024
Implicit Semantic Data Augmentation for Deep Networks
NeurIPS 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
NeurIPS 2019
Robust Principal Component Analysis-Based Infrared Small Target Detection
AAAI 2019
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning
IJCAI 2019
T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition
AAAI 2019