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IEEE-TLT Special Issue on Artificial Intelligence Empowered Entrepreneurship Education and Lifelong Learning Journal
创刊日期: 2024,
Authors:  Pengyang Wang;  Minghao Yin;  Enhong Chen;  Xiaoyan Chu;  Daniel Novak; et al.
Favorite |  | Submit date：2024/08/28
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffc Speed Prediction Conference paper
YICHENG ZHOU, PENGFEI WANG, HAO DONG, DENGHUI ZHANG, DINGQI YANG, YANJIE FU, WANG PENGYANG. Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffc Speed Prediction[C], 2024.
Authors:  YICHENG ZHOU;  PENGFEI WANG;  HAO DONG;  DENGHUI ZHANG;  DINGQI YANG; et al.
Favorite |  | Submit date：2024/08/28
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows Conference paper
XUANMING HU, WEI FAN, HAIFENG CHEN, PENGYANG WANG, YANJIE FU. Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows[C]:International Joint Conferences on Artificial Intelligence, 2024, 2063-2071.
Authors:  XUANMING HU;  WEI FAN;  HAIFENG CHEN;  PENGYANG WANG;  YANJIE FU
Favorite | TC[Scopus]:0 | Submit date：2024/08/28
Data Mining  
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction Conference paper
Zhou, Yicheng, Wang, Pengfei, Dong, Hao, Zhang, Denghui, Yang, Dingqi, Fu, Yanjie, Wang, Pengyang. Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction[C]:International Joint Conferences on Artificial Intelligence, 2024, 2607-2615.
Authors:  Zhou, Yicheng;  Wang, Pengfei;  Dong, Hao;  Zhang, Denghui;  Yang, Dingqi; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Data Mining  
Dual-stage Flows-based Generative Modeling for Traceable Urban Planning Conference paper
Hu, Xuanming, Fan, Wei, Wang, Dongjie, Wang, Pengyang, Li, Yong, Fu, Yanjie. Dual-stage Flows-based Generative Modeling for Traceable Urban Planning[C]:Society for Industrial and Applied Mathematics Publications, 2024, 370-378.
Authors:  Hu, Xuanming;  Fan, Wei;  Wang, Dongjie;  Wang, Pengyang;  Li, Yong; et al.
Favorite | TC[Scopus]:2 | Submit date：2024/06/05
Flows-based Framework  Generative Ai  Urban Planning  
Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation Conference paper
Camilo Gomez, Pengyang Wang, Yanjie Fu. Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation[C], 2023.
Authors:  Camilo Gomez;  Pengyang Wang;  Yanjie Fu
Favorite |  | Submit date：2023/12/13
Boosting Urban Prediction via Addressing Spatial Temporal Distribution Shift Conference paper
Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang. Boosting Urban Prediction via Addressing Spatial Temporal Distribution Shift[C], 2023.
Authors:  Xuanming Hu;  Wei Fan;  Kun Yi;  Pengfei Wang;  Yuanbo Xu; et al.
Favorite |  | Submit date：2023/12/13
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning Conference paper
Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu. Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning[C], 2023.
Authors:  Hao Dong;  Zhiyuan Ning;  Pengyang Wang;  Ziyue Qiao;  Pengfei Wang; et al.
Favorite | TC[Scopus]:4 | Submit date：2023/07/18
Reinforced Explainable Knowledge Concept Recommendation in MOOCs Journal article
Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin. Reinforced Explainable Knowledge Concept Recommendation in MOOCs[J]. ACM Transactions on Intelligent Systems and Technology, 2023, 14(3), 43.
Authors:  Lu Jiang;  Kunpeng Liu;  Yibin Wang;  Dongjie Wang;  Pengyang Wang; et al.
Favorite | TC[WOS]:9 TC[Scopus]:16  IF:7.2/8.5 | Submit date：2023/07/19
Knowledge Concept Recommendation  Mooc Knowledge Graph  Reinforcement Learning  
Reinforced Imitative Graph Learning for Mobile User Profiling Journal article
Dongjie Wang, Pengyang Wang, Kunpeng Liu, Xiong, Hui, Charles Hughes, Yanjie Fu. Reinforced Imitative Graph Learning for Mobile User Profiling[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(12), 12944-12957.
Authors:  Dongjie Wang;  Pengyang Wang;  Kunpeng Liu;  Xiong, Hui;  Charles Hughes; et al.
Favorite | TC[WOS]:7 TC[Scopus]:5  IF:8.9/8.8 | Submit date：2023/07/18
Behavioral Sciences  Education  Incremental Learning  Knowledge Graphs  Mobile User Profiling  Reinforcement Learning  Reinforcement Learning  Semantics  Spatial Knowledge Graph  Tail  Task Analysis