Pengyang Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 81

Top Topics

Reinforcement Learning

Graph Representation

Top Venues

Publications

Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du
DyGKT: Dynamic Graph Learning for Knowledge Tracing. KDD (2024)
Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du
DyGKT: Dynamic Graph Learning for Knowledge Tracing. CoRR (2024)
Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou
A Comprehensive Survey on Data Augmentation. CoRR (2024)
Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows. CoRR (2024)
Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM (2024)
Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. CoRR (2024)
Bangchao Deng, Bingqing Qu, Pengyang Wang, Dingqi Yang
REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories. CoRR (2024)
Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. AAAI (2024)
Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong
A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning. ACM Trans. Web 18 (2) (2024)
Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR (2024)
Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
Temporal inductive path neural network for temporal knowledge graph reasoning. Artif. Intell. 329 (2024)
Yuhuan Lu, Dingqi Yang, Pengyang Wang, Paolo Rosso, Philippe Cudré-Mauroux
Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. AAAI (2023)
Dongkun Wang, Yunfei Teng, Jieyang Peng, Junkai Zhao, Pengyang Wang
Deep-learning-based object classification of tactile robot hand for smart factory. Appl. Intell. 53 (19) (2023)
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS (2023)
Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. CoRR (2023)
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. IEEE Trans. Big Data 9 (1) (2023)
Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning. CoRR (2023)
Camilo Gomez, Pengyang Wang, Yanjie Fu
Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation. ICDM (2023)
Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. ICDM (2023)
Kafeng Wang, Pengyang Wang, Chengzhong Xu
Toward Efficient Automated Feature Engineering. ICDE (2023)
Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. CoRR (2023)
Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR (2023)
Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. IJCAI (2023)
Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. CoRR (2023)
Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. CoRR (2023)
Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang
Deep Generative Imputation Model for Missing Not At Random Data. CIKM (2023)
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR (2023)
Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes
Reinforced Imitative Graph Learning for Mobile User Profiling. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. CoRR (2023)
Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. AAAI (2023)
Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin
Reinforced Explainable Knowledge Concept Recommendation in MOOCs. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang
Deep Generative Imputation Model for Missing Not At Random Data. CoRR (2023)
Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. ACM Trans. Spatial Algorithms Syst. 9 (1) (2023)
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS (2023)
Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations. CoRR (2022)
Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu
Semi-supervised Drifted Stream Learning with Short Lookback. CoRR (2022)
Kafeng Wang, Pengyang Wang, Chengzhong Xu
Toward Efficient Automated Feature Engineering. CoRR (2022)
Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. CoRR (2022)
Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou
Graph Soft-Contrastive Learning via Neighborhood Ranking. CoRR (2022)
Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes
Reinforced Imitative Graph Learning for Mobile User Profiling. CoRR (2022)
Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Dong Li, Yuanchun Zhou
Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals. CoRR (2022)
Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu
Semi-supervised Drifted Stream Learning with Short Lookback. KDD (2022)
Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. CoRR (2021)
Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu
Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data. Frontiers Big Data 4 (2021)
Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. AAAI (2021)
Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. ICDM (2021)
Pengyang Wang, Xiaolin Li, Yu Zheng, Charu Aggarwal, Yanjie Fu
Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. SIGSPATIAL/GIS (2021)
Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. CoRR (2021)
Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing. Frontiers Big Data 4 (2021)
Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. CoRR (2021)
Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. CoRR (2021)
Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu
EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. SDM (2021)
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. CoRR (2021)
Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu
Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding. CIKM (2020)
Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. CoRR (2020)
Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. ICDM (2020)
Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu
Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. KDD (2020)
Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CoRR (2020)
Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. ICDM (2020)
Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. CoRR (2020)
Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu
A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. WWW (2020)
Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. CoRR (2020)
Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. ICDM (2020)
Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua
Exploiting Mutual Information for Substructure-aware Graph Representation Learning. IJCAI (2020)
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR (2020)
Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. CoRR (2020)
Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. SIGSPATIAL/GIS (2020)
Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu
Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity. ICDM (2019)
Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. IEEE Trans. Knowl. Data Eng. 31 (3) (2019)
Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. AAAI (2019)
Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu
Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks. SIGSPATIAL/GIS (2019)
Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li
Adversarial Substructured Representation Learning for Mobile User Profiling. KDD (2019)
Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CIKM (2019)
Yunchao Zhang, Yanjie Fu, Pengyang Wang, Xiaolin Li, Yu Zheng
Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning. KDD (2019)
Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das
Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. SDM (2018)
Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, Dan Lin
Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs. ACM Trans. Intell. Syst. Technol. 9 (6) (2018)
Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal
Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. SDM (2018)
Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. KDD (2018)