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09/17/2023
Syntax Tree Constrained Graph Network for Visual Question Answering
Visual Question Answering (VQA) aims to automatically answer natural lan...
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04/27/2023
Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees
The rapid growth of social media has caused tremendous effects on inform...
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10/06/2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting
The key problem in multivariate time series (MTS) analysis and forecasti...
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09/01/2022
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters
Story ending generation aims at generating reasonable endings for a give...
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06/29/2022
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning
Case-based Reasoning (CBR) on high-dimensional and heterogeneous data is...
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05/22/2022
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities
In recent years, sequential recommender systems (SRSs) and session-based...
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09/08/2021
An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud
Cloud training platforms, such as Amazon Web Services and Huawei Cloud p...
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07/25/2021
Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation
Inertial measurement units are widely used in different fields to estima...
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05/13/2021
Graph Learning based Recommender Systems: A Review
Recent years have witnessed the fast development of the emerging topic o...
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03/03/2021
Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee
This paper presents a deep reinforcement learning (DRL) algorithm for or...
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10/26/2020
Lyapunov-Based Reinforcement Learning State Estimator
In this paper, we consider the state estimation problem for nonlinear st...
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05/30/2020
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation
A transaction-based recommender system (TBRS) aims to predict the next i...
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04/22/2020
Graph Learning Approaches to Recommender Systems: A Review
Recent years have witnessed the fast development of the emerging topic o...
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12/28/2019