Han Yu

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Nanyang Assistant Professor (NAP)

Nanyang Technological University (NTU)

Singapore

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About

Han Yu is a Nanyang Assistant Professor (NAP) at Nanyang Technological University in Singapore. His research areas encompass recommender systems, quantum federated learning, and fairness-aware federated learning techniques. He has authored recent articles focusing on innovative approaches in dynamic security assessment, bidding strategies in auction-based federated learning, and multimodal learning for game recommendations.

Recent Grants

Grant: Close

TrustFUL: Trustworthy Federated Ubiquitous Learning

Open Date: 2021-04-01

Close Date: 2025-04-01

Grant: Close

Towards an Ecosystem for Federated Learning Incentive

Open Date: 2020-12-01

Close Date: 2022-12-01

Grant: Close

AI-Powered Crowd-computing (AIPC)

Open Date: 2018-05-01

Close Date: 2023-10-01

Grant: Close

AI+ Healthcare

Open Date: 2017-08-01

Close Date: 2019-08-01

Grant: Close

ADL+: A Digital Toolkit for Cognitive Assessment and Intervention

Open Date: 2017-03-01

Close Date: 2020-03-01

Articles (20)

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Collaborators (5)

Cuntai Guan

Professor

Nanyang Technological University (NTU)

SINGAPORE

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Giuliano Casale

Reader

Imperial College London

UNITED KINGDOM

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Ming Xiao

KTH Royal Institute of Technology

SWEDEN

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Bryan Wei Yang Lim

Assistant Professor

Nanyang Technological University (NTU)

SINGAPORE

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Chao Ren

Nanyang Technological University (NTU)

SINGAPORE

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Han Yu

Research Interests

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About

Recent Grants

Articles (20)

QFEVAL: Quantum Federated Ensembled Variational Adaptive Learning for Dynamic Security Assessment in Cyber-Physical Systems

Fairness-Aware Multi-Server Federated Learning Task Delegation Over Wireless Networks

Learning Personalizable Clustered Embedding for Recommender Systems

Multimodal contrastive learning with hyperbolic geometry for KG-based game recommendation

A Cost-Aware Utility-Maximizing Bidding Strategy for Auction-Based Federated Learning

Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds With Online Learning

Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning

Fairness-Aware Reverse Auction-Based Federated Learning

Guest Editorial: Special Issue on Trustworthy Federated Learning

Federated Graph Neural Networks: Overview, Techniques, and Challenges

Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication

AI-Empowered Persuasive Video Generation: A Survey

EFedDSA: An Efficient Differential Privacy-Based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment

Bayesian Co-evolutionary Optimization based entropy search for high-dimensional many-objective optimization

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion

CAreFL: Enhancing smart healthcare with Contribution‐Aware Federated Learning

Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning

Evolutionary Carrier Selection for Shared Truck Delivery Services

Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation

Multicomponent Adversarial Domain Adaptation: A General Framework

Collaborators (5)

Cuntai Guan

Giuliano Casale

Ming Xiao

Bryan Wei Yang Lim

Chao Ren

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