Pengyang Wang
24 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π
Conference Pioneer
π
Century Club
(23)
ποΈ
Keyword Collector
(116)
β‘
Prolific Year
(7)
Conferences
AAAI (10)
IJCAI (10)
NIPS (2)
ACL (1)
ICML (1)
Top co-authors
Keywords
graph neural network
(5)
representation learning
(5)
graph representation learning
(3)
hierarchical reinforcement learning
(3)
time series forecasting
(3)
neural network
(2)
multivariate time series forecasting
(2)
temporal reasoning
(2)
distribution shift
(2)
multi-view learning
(2)
reinforcement learning
(2)
spatial-temporal modeling
(2)
link prediction
(2)
recommendation system
(2)
mutual information
(2)
attention mechanism
(2)
knowledge graph reasoning
(2)
temporal knowledge graph
(2)
gradient-based optimization
(1)
density estimation
(1)
Papers
Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning
AAAI 2026
GCAL: Adapting Graph Models to Evolving Domain Shifts
ICML 2025
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
AAAI 2025
Auto Encoding Neural Process for Multi-interest Recommendation
AAAI 2025
Mixture of Experts as Representation Learner for Deep Multi-View Clustering
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
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
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows
IJCAI 2024
Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation
IJCAI 2024
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
AAAI 2024
Hierarchical Reinforcement Learning for Point of Interest Recommendation
IJCAI 2024
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
IJCAI 2024
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
NIPS 2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
IJCAI 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
AAAI 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
NIPS 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