Pengyang Wang

Orcid: 0000-0003-3961-5523

According to our database¹, Pengyang Wang authored at least 64 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction.

[BibT_eX]

[DOI]

Philippe Cudré-Mauroux

IEEE Trans. Knowl. Data Eng., June, 2024

A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.

[BibT_eX]

[DOI]

ACM Trans. Web, May, 2024

A Comprehensive Survey on Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories.

[BibT_eX]

[DOI]

CoRR, 2024

Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows.

[BibT_eX]

[DOI]

CoRR, 2024

Temporal inductive path neural network for temporal knowledge graph reasoning.

[BibT_eX]

[DOI]

Artif. Intell., 2024

Dual-stage Flows-based Generative Modeling for Traceable Urban Planning.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DyGKT: Dynamic Graph Learning for Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Decoupled Invariant Attention Network for Multivariate Time-series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hierarchical Reinforcement Learning for Point of Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reinforced Imitative Graph Learning for Mobile User Profiling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Deep-learning-based object classification of tactile robot hand for smart factory.

[BibT_eX]

[DOI]

Appl. Intell., October, 2023

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.

[BibT_eX]

[DOI]

ACM Trans. Spatial Algorithms Syst., March, 2023

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2023

Reinforced Explainable Knowledge Concept Recommendation in MOOCs.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation.

[BibT_eX]

[DOI]

Camilo Gomez

Pengyang Wang

Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

Toward Efficient Automated Feature Engineering.

[BibT_eX]

[DOI]

Kafeng Wang

Pengyang Wang

Chengzhong Xu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Deep Generative Imputation Model for Missing Not At Random Data.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.

[BibT_eX]

[DOI]

CoRR, 2022

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-supervised Drifted Stream Learning with Short Lookback.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data.

[BibT_eX]

[DOI]

Frontiers Big Data, 2021

Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing.

[BibT_eX]

[DOI]

Frontiers Big Data, 2021

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.

[BibT_eX]

[DOI]

CoRR, 2021

EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce.

[BibT_eX]

[DOI]

CoRR, 2020

A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Exploiting Mutual Information for Substructure-aware Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Reimagining City Configuration: Automated Urban Planning via Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding.

[BibT_eX]

[DOI]

Dakshak Keerthi Chandra

Pengyang Wang

Jennifer L. Leopold

Yanjie Fu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adversarial Substructured Representation Learning for Mobile User Profiling.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Dakshak Keerthi Chandra

Pengyang Wang

Jennifer L. Leopold

Yanjie Fu

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Pengyang Wang

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