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Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking

IEEE access, 2019-01, Vol.7, p.2633-2642

2019

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A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification

Multimedia tools and applications, 2022-04, Vol.81 (9), p.11949-11963

2022

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Deep Ensemble Learning for Human Action Recognition in Still Images

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-23

2020

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Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis

International journal of digital earth, 2024-12, Vol.17 (1)

2024

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Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare

IEEE transactions on pattern analysis and machine intelligence, 2017-08, Vol.39 (8), p.1532-1546

2017

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Detecting Hot Topics From Academic Big Data

IEEE access, 2019, Vol.7, p.185916-185927

2019

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Constrained Consistency Modeling for Attributed Network Embedding

IEEE access, 2019, Vol.7, p.185687-185697

2019

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Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020

Scientific data, 2022-09, Vol.9 (1), p.547-7, Article 547

2022

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Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions

IEEE access, 2018-01, Vol.6, p.37615-37626

2018

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Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning

IEEE access, 2019, Vol.7, p.108458-108473

2019

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Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL

IEEE access, 2019, Vol.7, p.53667-53676

2019

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Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks

IEEE access, 2018-01, Vol.6, p.4750-4758

2018

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Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition

IEEE transaction on neural networks and learning systems, 2024-01, Vol.35 (1), p.973-984

2024

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HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control

Information sciences, 2023-09, Vol.640, p.119065-119065, Article 119065

2023

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Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data

Knowledge-based systems, 2022-06, Vol.245, p.108596, Article 108596

2022

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Partially Observable Reinforcement Learning for Sustainable Active Surveillance

Knowledge Science, Engineering and Management, p.425-437

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A Novel Composite Graph Neural Network

IEEE transaction on neural networks and learning systems, 2024-10, Vol.35 (10), p.1-15

2024

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FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning

IEEE transactions on knowledge and data engineering, 2024-09, Vol.36 (9), p.4678-4692

2024

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Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks

IEEE transaction on neural networks and learning systems, 2024-09, Vol.35 (9), p.11720-11733

2024

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Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history

Expert systems with applications, 2023-08, Vol.224, p.119965, Article 119965

2023

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Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO

IEEE transaction on neural networks and learning systems, 2024-08, Vol.PP, p.1-14

2024

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A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning

Expert systems with applications, 2024-07, Vol.245, p.123158, Article 123158

2024

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SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks

Knowledge-based systems, 2023-01, Vol.259, p.110068, Article 110068

2023

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Generalized multi-agent competitive reinforcement learning with differential augmentation

Expert systems with applications, 2024-03, Vol.238, p.121760, Article 121760

2024

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An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides

Expert systems with applications, 2024-03, Vol.237, p.121379, Article 121379

2024

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Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking

A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification

Deep Ensemble Learning for Human Action Recognition in Still Images

Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis

Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare

Detecting Hot Topics From Academic Big Data

Constrained Consistency Modeling for Attributed Network Embedding

Geographical clusters of dengue outbreak in Singapore during the Covid-19 nationwide lockdown of 2020

Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions

Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning

Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL

Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition

HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control

Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data

Partially Observable Reinforcement Learning for Sustainable Active Surveillance

A Novel Composite Graph Neural Network

FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning

Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks

Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history

Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning

SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks

Generalized multi-agent competitive reinforcement learning with differential augmentation

An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides

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