Pengyang Wang

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Yuhuan Lu, Dingqi Yang, Pengyang Wang, Paolo Rosso, 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.

Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong

ACM Trans. Web, May, 2024

A Comprehensive Survey on Data Augmentation.

Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou

CoRR, 2024

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

Bangchao Deng, Bingqing Qu, Pengyang Wang, Dingqi Yang

CoRR, 2024

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

Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu

CoRR, 2024

Temporal inductive path neural network for temporal knowledge graph reasoning.

Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou

Artif. Intell., 2024

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

Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu

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

DyGKT: Dynamic Graph Learning for Knowledge Tracing.

Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du

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.

Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang

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

Decoupled Invariant Attention Network for Multivariate Time-series Forecasting.

Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang

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

Hierarchical Reinforcement Learning for Point of Interest Recommendation.

Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin

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.

Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou

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

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

Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu

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

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

Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin

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

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

Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou

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.

Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang

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

2023

Reinforced Imitative Graph Learning for Mobile User Profiling.

Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes

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

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

Dongkun Wang, Yunfei Teng, Jieyang Peng, Junkai Zhao, Pengyang Wang

Appl. Intell., October, 2023

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.

Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou

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

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

Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu

ACM Trans. Spatial Algorithms Syst., March, 2023

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

Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou

IEEE Trans. Big Data, February, 2023

Reinforced Explainable Knowledge Concept Recommendation in MOOCs.

Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin

ACM Trans. Intell. Syst. Technol., 2023

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

Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu

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.

Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu

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.

Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

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

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.

Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

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

Camilo Gomez, Pengyang Wang, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

Toward Efficient Automated Feature Engineering.

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.

Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang

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.

Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu

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

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

Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin

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

2022

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.

Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu

CoRR, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.

Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou

CoRR, 2022

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

Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Dong Li, Yuanchun Zhou

CoRR, 2022

Semi-supervised Drifted Stream Learning with Short Lookback.

Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu

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.

Pengyang Wang, Xiaolin Li, Yu Zheng, Charu Aggarwal, Yanjie Fu

IEEE Trans. Knowl. Data Eng., 2021

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

Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu

Frontiers Big Data, 2021

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

Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu

Frontiers Big Data, 2021

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

Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou

CoRR, 2021

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

Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang

CoRR, 2021

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

Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu

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

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

Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou

Proceedings of the IEEE International Conference on Data Mining, 2021

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

Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu

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.

Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu

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.

Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong

CoRR, 2020

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

Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu

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.

Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu

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.

Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua

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

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

Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu

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.

Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou

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

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

Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu

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

Reimagining City Configuration: Automated Urban Planning via Adversarial Learning.

Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu

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.

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.

Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong

IEEE Trans. Knowl. Data Eng., 2019

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

Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng

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

Adversarial Substructured Representation Learning for Mobile User Profiling.

Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li

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.

Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu

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

Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks.

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.

Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong

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.

Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li

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.

Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, Dan Lin

ACM Trans. Intell. Syst. Technol., 2018

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

Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal

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

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

Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das

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.

Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal

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