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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.
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TC[Scopus]:
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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.
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TC[Scopus]:
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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
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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
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TC[Scopus]:
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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.
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TC[Scopus]:
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Submit date:2024/08/28
Data Mining
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
Conference paper
Haicheng Liao, Zhenning Li, Chengyue Wang, Huanmin Shen, Dongping Liao, Bonan Wang, Guofa Li, Chengzhong Xu. MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving[C]:International Joint Conferences on Artificial Intelligence, 2024.
Authors:
Haicheng Liao
;
Zhenning Li
;
Chengyue Wang
;
Huanmin Shen
;
Dongping Liao
; et al.
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TC[Scopus]:
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Submit date:2024/09/16
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.
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TC[Scopus]:
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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
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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
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TC[Scopus]:
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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.
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TC[Scopus]:
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Submit date:2024/09/16
Robotics
Planning And Scheduling
Planning Under Uncertainty