English | 繁體

Search in the results

UM

Browse/Search Results:  1-5 of 5 Help

Selected(0)Clear Items/Page:    Sort:
Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation Conference paper
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[C]:International Joint Conferences on Artificial Intelligence, 2024, 2099-2107.
Authors:  LU JIANG;  YANAN XIAO;  XINXIN ZHAO;  YUANBO XU;  SHULI HU; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/08/28
Data Mining  
Hierarchical Reinforcement Learning for Point of Interest Recommendation Conference paper
YANAN XIAO, LU JIANG, KUNPENG LIU, YUANBO XU, PENGYANG WANG, MINGHAO YIN. Hierarchical Reinforcement Learning for Point of Interest Recommendation[C]:International Joint Conferences on Artificial Intelligence, 2024, 2460-2468.
Authors:  YANAN XIAO;  LU JIANG;  KUNPENG LIU;  YUANBO XU;  PENGYANG WANG; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/08/28
Data Mining  
TRIMLP: A Foundational MLP-like Architecture for Sequential Recommendation Journal article
YIHENG JIANG, YUANBO XU, YONGJIAN YANG, FUNING YANG, PENGYANG WANG, CHAOZHUO LI, FUZHEN ZHUANG, HUI XIONG. TRIMLP: A Foundational MLP-like Architecture for Sequential Recommendation[J]. ACM Transactions on Information Systems, 2024.
Authors:  YIHENG JIANG;  YUANBO XU;  YONGJIAN YANG;  FUNING YANG;  PENGYANG WANG; et al.
Favorite |   IF:5.4/6.0 | Submit date：2024/08/28
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
Deep Generative Imputation Model for Missing Not At Random Data Conference paper
Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang. Deep Generative Imputation Model for Missing Not At Random Data[C]:ASSOC COMPUTING MACHINERY1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, 2023, 316 - 325.
Authors:  Jialei Chen;  Yuanbo Xu;  Pengyang Wang;  Yongjian Yang
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2023/12/13
Deep Generative Models  Imputation  Missing Data  Missing Not At Random  Variational Autoencoder