English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 13 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  
CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving Conference paper
Haicherng Liao, Xuelin Li, Yongkang Li, Hailin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, Kahou Tam, Zhenning Li. CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving[C]:International Joint Conferences on Artificial Intelligence, 2024, 7331-7339.
Authors:  Haicherng Liao;  Xuelin Li;  Yongkang Li;  Hailin Kong;  Chengyue Wang; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/16
Robotics  Planning And Scheduling  
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  
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting Conference paper
HAIHUA XU, WEI FAN, KUN YI, PENGYANG WANG. Decoupled Invariant Attention Network for Multivariate Time-series Forecasting[C]:International Joint Conferences on Artificial Intelligence, 2024, 2487-2495.
Authors:  HAIHUA XU;  WEI FAN;  KUN YI;  PENGYANG WANG
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  
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  
QFormer: An Efficient Quaternion Transformer for Image Denoising Conference paper
Jiang, Bo, Lu, Yao, Lu, Guangming, Zhang, Bob. QFormer: An Efficient Quaternion Transformer for Image Denoising[C]:International Joint Conferences on Artificial Intelligence, 2024, 4237-4245.
Authors:  Jiang, Bo;  Lu, Yao;  Lu, Guangming;  Zhang, Bob
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Machine Learning  Ml  Knowledge-aided Learning  
A Transformer-based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation Conference paper
Chen, Sihan, Chen, Yadang, Zheng, Yuhui, Yang, Zhi Xin, Wu, Enhua. A Transformer-based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation[C]:International Joint Conferences on Artificial Intelligence, 2024, 659-667.
Authors:  Chen, Sihan;  Chen, Yadang;  Zheng, Yuhui;  Yang, Zhi Xin;  Wu, Enhua
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Computer Vision  Segmentation  Representation Learning  Scene Analysis And understAnding  Transfer, Low-shot, Semi- And Un- Supervised Learning  
Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation Conference paper
Haicheng Liao, Chengyue Wang, Zhenning Li, Yongkang Li, Bonan Wang, Guofa Li, Chengzhong Xu. Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation[C]:International Joint Conferences on Artificial Intelligence, 2024, 6841-6849.
Authors:  Haicheng Liao;  Chengyue Wang;  Zhenning Li;  Yongkang Li;  Bonan Wang; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/16
Robotics  Planning And Scheduling  Planning Under Uncertainty  
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments Conference paper
Liao, Haicheng, Li, Zhenning, Wang, Chengyue, Wang, Bonan, Kong, Hanlin, Guan, Yanchen, Li, Guofa, Cui, Zhiyong. A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments[C]:International Joint Conferences on Artificial Intelligence, 2024, 5936-5944.
Authors:  Liao, Haicheng;  Li, Zhenning;  Wang, Chengyue;  Wang, Bonan;  Kong, Hanlin; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Multidisciplinary Topics And Applications  Mta  Agent-based And Multi-agent Systems  Mas  Planning And Scheduling  Robotics