Pengyang Wang
25 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (56) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(9)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(126)
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(12)
Learning Types Β· Machine Learning
(11)
Artificial Intelligence
(10)
Core Methods
(10)
Data Science & Analytics
(9)
Architectures
(7)
Application Areas
(5)
Core AI
(5)
Learning Paradigms
(5)
Learning Types Β· Deep Learning
(5)
Methods Β· Data Science & Analytics
(5)
Reinforcement Learning
(4)
Applications
(4)
Methods Β· Reinforcement Learning
(4)
Keywords
graph neural network
(5)
representation learning
(5)
time series forecasting
(3)
reinforcement learning
(3)
hierarchical reinforcement learning
(3)
graph representation learning
(3)
neural network
(2)
temporal knowledge graph
(2)
spatial-temporal modeling
(2)
multi-view learning
(2)
distribution shift
(2)
link prediction
(2)
multivariate time series forecasting
(2)
temporal reasoning
(2)
knowledge graph reasoning
(2)
mutual information
(2)
recommendation system
(2)
attention mechanism
(2)
density estimation
(1)
bayesian inference
(1)
Papers
Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning
AAAI 2026
DialogueVPR: Towards Conversational Visual Place Recognition
CVPR 2026
Auto Encoding Neural Process for Multi-interest Recommendation
AAAI 2025
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models
AAAI 2025
Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
ACL 2025
GCAL: Adapting Graph Models to Evolving Domain Shifts
ICML 2025
Mixture of Experts as Representation Learner for Deep Multi-View Clustering
AAAI 2025
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
AAAI 2025
Rethinking Graph Contrastive Learning Through Relative Similarity Preservation
IJCAI 2025
scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data
IJCAI 2025
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting
IJCAI 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
IJCAI 2024
Hierarchical Reinforcement Learning for Point of Interest Recommendation
IJCAI 2024
Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation
IJCAI 2024
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
IJCAI 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows
IJCAI 2024
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
AAAI 2024
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
IJCAI 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
AAAI 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
NeurIPS 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
NeurIPS 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
AAAI 2023
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
AAAI 2021
Exploiting Mutual Information for Substructure-aware Graph Representation Learning
IJCAI 2020
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
AAAI 2019