Pengyang Wang

Orcid: 0000-0003-3961-5523

According to our database1, Pengyang Wang authored at least 59 papers between 2018 and 2024.

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Bibliography

2024
Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction.
IEEE Trans. Knowl. Data Eng., June, 2024

A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.
ACM Trans. Web, May, 2024

A Comprehensive Survey on Data Augmentation.
CoRR, 2024

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.
CoRR, 2024

REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories.
CoRR, 2024

Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows.
CoRR, 2024

Temporal inductive path neural network for temporal knowledge graph reasoning.
Artif. Intell., 2024

Dual-stage Flows-based Generative Modeling for Traceable Urban Planning.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Reinforced Imitative Graph Learning for Mobile User Profiling.
IEEE Trans. Knowl. Data Eng., December, 2023

Deep-learning-based object classification of tactile robot hand for smart factory.
Appl. Intell., October, 2023

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.
ACM Trans. Spatial Algorithms Syst., March, 2023

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
IEEE Trans. Big Data, February, 2023

Reinforced Explainable Knowledge Concept Recommendation in MOOCs.
ACM Trans. Intell. Syst. Technol., 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.
CoRR, 2023

Dual-stage Flows-based Generative Modeling for Traceable Urban Planning.
CoRR, 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
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.
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.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.
Proceedings of the IEEE International Conference on Data Mining, 2023

Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Toward Efficient Automated Feature Engineering.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Deep Generative Imputation Model for Missing Not At Random Data.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.
CoRR, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.
CoRR, 2022

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.
CoRR, 2022

Semi-supervised Drifted Stream Learning with Short Lookback.
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.
IEEE Trans. Knowl. Data Eng., 2021

Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data.
Frontiers Big Data, 2021

Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing.
Frontiers Big Data, 2021

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
CoRR, 2021

EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning.
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.
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.
CoRR, 2020

A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement.
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.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection.
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.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Reimagining City Configuration: Automated Urban Planning via Adversarial Learning.
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.
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.
IEEE Trans. Knowl. Data Eng., 2019

Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Adversarial Substructured Representation Learning for Mobile User Profiling.
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.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks.
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.
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.
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.
ACM Trans. Intell. Syst. Technol., 2018

Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction.
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.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018


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