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2020 – today
- 2024
[j14]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: 104085 (2024)- [j13]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): 2614-2628 (2024) - [j12]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): 18:1-18:26 (2024) - [c40]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: 9396-9404 - [c39]Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu:
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows. IJCAI 2024: 2063-2071 - [c38]Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin:
Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation. IJCAI 2024: 2099-2107 - [c37]Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin:
Hierarchical Reinforcement Learning for Point of Interest Recommendation. IJCAI 2024: 2460-2468 - [c36]Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang:
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting. IJCAI 2024: 2487-2495 - [c35]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. IJCAI 2024: 2607-2615 - [c34]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. IJCAI 2024: 4760-4768 - [c33]Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du:
DyGKT: Dynamic Graph Learning for Knowledge Tracing. KDD 2024: 409-420 - [c32]Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. SDM 2024: 370-378 - [i33]Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu:
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows. CoRR abs/2401.16777 (2024) - [i32]Bangchao Deng, Bingqing Qu, Pengyang Wang, Dingqi Yang:
REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories. CoRR abs/2402.16310 (2024) - [i31]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 abs/2405.06312 (2024) - [i30]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 abs/2405.09591 (2024) - [i29]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 abs/2406.16992 (2024) - [i28]Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du:
DyGKT: Dynamic Graph Learning for Knowledge Tracing. CoRR abs/2407.20824 (2024) - 2023
- [j11]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): 22374-22390 (2023) - [j10]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): 186-199 (2023) - [j9]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): 43:1-43:20 (2023) - [j8]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): 9685-9699 (2023) - [j7]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): 12944-12957 (2023) - [j6]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): 2:1-2:24 (2023) - [c31]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: 7522-7529 - [c30]Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin:
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. AAAI 2023: 8070-8077 - [c29]Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang:
Deep Generative Imputation Model for Missing Not At Random Data. CIKM 2023: 316-325 - [c28]Kafeng Wang, Pengyang Wang, Chengzhong Xu:
Toward Efficient Automated Feature Engineering. ICDE 2023: 1625-1637 - [c27]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: 160-169 - [c26]Camilo Gomez, Pengyang Wang, Yanjie Fu:
Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation. ICDM 2023: 1043-1048 - [c25]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: 2086-2094 - [c24]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 - [c23]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 - [i27]Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin:
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. CoRR abs/2301.01593 (2023) - [i26]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 abs/2302.14829 (2023) - [i25]Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. CoRR abs/2304.12604 (2023) - [i24]Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang:
Deep Generative Imputation Model for Missing Not At Random Data. CoRR abs/2308.08158 (2023) - [i23]Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou:
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning. CoRR abs/2309.03251 (2023) - [i22]Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu:
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning. CoRR abs/2310.02453 (2023) - [i21]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 abs/2311.06184 (2023) - [i20]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 abs/2311.06190 (2023) - [i19]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 abs/2312.15717 (2023) - 2022
- [c22]Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu:
Semi-supervised Drifted Stream Learning with Short Lookback. KDD 2022: 1504-1513 - [i18]Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes:
Reinforced Imitative Graph Learning for Mobile User Profiling. CoRR abs/2203.06550 (2022) - [i17]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 abs/2203.10922 (2022) - [i16]Weijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu:
Semi-supervised Drifted Stream Learning with Short Lookback. CoRR abs/2205.13066 (2022) - [i15]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 abs/2209.13519 (2022) - [i14]Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou:
Graph Soft-Contrastive Learning via Neighborhood Ranking. CoRR abs/2209.13964 (2022) - [i13]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 abs/2212.12932 (2022) - [i12]Kafeng Wang, Pengyang Wang, Chengzhong Xu:
Toward Efficient Automated Feature Engineering. CoRR abs/2212.13152 (2022) - 2021
- [j5]Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu:
Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data. Frontiers Big Data 4: 690970 (2021) - [j4]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: 762899 (2021) - [j3]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): 728-741 (2021) - [c21]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: 4410-4417 - [c20]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: 450-453 - [c19]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: 757-766 - [c18]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: 567-575 - [i11]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 abs/2101.02634 (2021) - [i10]Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang:
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. CoRR abs/2109.06661 (2021) - [i9]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 abs/2109.11053 (2021) - [i8]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 abs/2110.07336 (2021) - [i7]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 abs/2112.14699 (2021) - 2020
- [c17]Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu:
Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding. CIKM 2020: 615-624 - [c16]Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu:
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. SIGSPATIAL/GIS 2020: 497-506 - [c15]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: 32-41 - [c14]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: 432-441 - [c13]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. ICDM 2020: 1008-1013 - [c12]Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua:
Exploiting Mutual Information for Substructure-aware Graph Representation Learning. IJCAI 2020: 3415-3421 - [c11]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: 853-861 - [c10]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: 2144-2154 - [i6]Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu:
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. CoRR abs/2008.09912 (2020) - [i5]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 abs/2008.10003 (2020) - [i4]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. CoRR abs/2008.12001 (2020) - [i3]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 abs/2008.12618 (2020) - [i2]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 abs/2009.02835 (2020) - [i1]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 abs/2009.07429 (2020)
2010 – 2019
- 2019
- [j2]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): 535-548 (2019) - [c9]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: 906-913 - [c8]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: 2763-2771 - [c7]Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu:
Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks. SIGSPATIAL/GIS 2019: 319-328 - [c6]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: 160-169 - [c5]Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li:
Adversarial Substructured Representation Learning for Mobile User Profiling. KDD 2019: 130-138 - [c4]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: 1700-1708 - 2018
- [j1]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): 63:1-63:28 (2018) - [c3]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: 2457-2466 - [c2]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: 171-179 - [c1]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: 351-359
Coauthor Index
[j12] [c39] [c35] [c32] [i33] [i30] [i29] [j10] [j9] [j8] [j7] [j6] [c31] [c27] [c26] [c25] [i26] [i25] [i22] [c22] [i18] [i17] [i16] [i15] [i13] [j5] [j4] [j3] [c21] [c20] [c19] [c18] [i11] [i10] [i9] [i8] [i7] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [i6] [i5] [i4] [i3] [j2] [c9] [c7] [c6] [c5] [c4] [j1] [c3] [c2] [c1]
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