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Pengyang Wang

24 papers · 2019–2026 · 5 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸƒ Academic Marathon (6)
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ’Ž Century Club (23) πŸ—ƒοΈ Keyword Collector (116) ⚑ Prolific Year (7)

Conferences

AAAI (10) IJCAI (10) NIPS (2) ACL (1) ICML (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