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09/10/2023
SpeechMirror: A Multimodal Visual Analytics System for Personalized Reflection of Online Public Speaking Effectiveness
As communications are increasingly taking place virtually, the ability t...
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08/13/2023
Self-supervised Noise2noise Method Utilizing Corrupted Images with a Modular Network for LDCT Denoising
Deep learning is a very promising technique for low-dose computed tomogr...
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06/29/2023
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning
We propose a novel value approximation method, namely Eigensubspace Regu...
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03/24/2023
Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks
Gene regulatory relationships can be abstracted as a gene regulatory net...
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01/06/2023
Centralized Cooperative Exploration Policy for Continuous Control Tasks
The deep reinforcement learning (DRL) algorithm works brilliantly on sol...
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06/07/2022
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation
Nonnegative matrix factorization (NMF) has been widely used to dimension...
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05/29/2022
Representation Gap in Deep Reinforcement Learning
Deep reinforcement learning gives the promise that an agent learns good ...
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02/19/2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction
Dataset is the key of deep learning in Autism disease research. However,...
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11/27/2021
An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation
Nonnegative matrix factorization (NMF) has been widely used to learn low...
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09/24/2021
Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework
The framework of deep reinforcement learning (DRL) provides a powerful a...
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09/22/2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
Variational autoencoders (VAEs), as an important aspect of generative mo...
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09/22/2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
Ensemble reinforcement learning (RL) aims to mitigate instability in Q-l...
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07/26/2021
Cost-effective Land Cover Classification for Remote Sensing Images
Land cover maps are of vital importance to various fields such as land u...
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03/10/2021
Session-based Social and Dependency-aware Software Recommendation
With the increase of complexity of modern software, social collaborative...
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12/26/2020
POPO: Pessimistic Offline Policy Optimization
Offline reinforcement learning (RL), also known as batch RL, aims to opt...
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09/22/2020
Efficiently Finding a Maximal Clique Summary via Effective Sampling
Maximal clique enumeration (MCE) is a fundamental problem in graph theor...
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06/18/2020
Reducing Estimation Bias via Weighted Delayed Deep Deterministic Policy Gradient
The overestimation phenomenon caused by function approximation is a well...
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02/20/2020
PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks
With the aggressive growth of smart environments, a large amount of data...
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01/23/2020
An Android Application Risk Evaluation Framework Based on Minimum Permission Set Identification
Android utilizes a security mechanism that requires apps to request perm...
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09/22/2019
Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud
Clustering big data often requires tremendous computational resources wh...
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07/26/2019
Edge User Allocation with Dynamic Quality of Service
In edge computing, edge servers are placed in close proximity to end-use...
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04/11/2019
Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing
In mobile edge computing, edge servers are geographically distributed ar...
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03/12/2019