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Translating with AI: Design and Implementation of a ChatGPT-Powered Platform to Enhance Translator Training
Book chapter
出自: Artificial Intelligence and Translation,, London/New York:Routledge, 2024
Authors:
SUN YIFENG
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Submit date:2024/09/06
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]:
0
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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]:
0
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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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TC[Scopus]:
0
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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]:
0
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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]:
0
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Submit date:2024/08/28
Data Mining
Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics
Conference paper
Shao, Guolin, Xu, Zeshui, He, Xiaoxi, Rao, Hong, Huang, Wei, Duan, Wenying. Novel UGA Homologous URL Recognition in Real-World Financial Cybercrimes: Self-supervised Deep Learning of URL Semantics[C]:Springer Science and Business Media Deutschland GmbH, 2024, 300 - 312.
Authors:
Shao, Guolin
;
Xu, Zeshui
;
He, Xiaoxi
;
Rao, Hong
;
Huang, Wei
; et al.
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TC[Scopus]:
0
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Submit date:2024/09/11
Financial Cybercrime
Homologous Url Recognition
Self-supervised Learning
Siamese Network
Url Representation Learning
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
Journal article
Li, Jinbo, Liu, Peng, Chen, Long, Pedrycz, Witold, Ding, Weiping. An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models[J]. IEEE Transactions on Artificial Intelligence, 2024.
Authors:
Li, Jinbo
;
Liu, Peng
;
Chen, Long
;
Pedrycz, Witold
;
Ding, Weiping
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TC[Scopus]:
1
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Submit date:2024/08/05
Fuzzy Rules-based Model
Incremental Models
Interpretability
Ensemble Learning
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency
Journal article
Aziz, Haris, Li, Bo, Moulin, Hervé, Wu, Xiaowei, Zhu, Xinran. Almost proportional allocations of indivisible chores: Computation, approximation and efficiency[J]. Artificial Intelligence, 2024, 331, 104118.
Authors:
Aziz, Haris
;
Li, Bo
;
Moulin, Hervé
;
Wu, Xiaowei
;
Zhu, Xinran
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TC[WOS]:
1
TC[Scopus]:
1
IF:
5.1
/
4.8
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Submit date:2024/05/16
Indivisible Chores
Ordinal Preferences
Pareto Optimal
Propx
Copyright Law Governing Works Resulting from the Use of Generative AI and Emerging Jurisprudence in USA and China
Conference paper
RAMASWAMY, M.P.. Copyright Law Governing Works Resulting from the Use of Generative AI and Emerging Jurisprudence in USA and China[C], Mohammedia:Zenodo, 2024, 1-10.
Authors:
RAMASWAMY, M.P.
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Submit date:2024/08/30