Han Yu

Orcid: 0000-0001-6893-8650

Affiliations:
  • Nanyang Technological University, School of Computer Science and Engineering, Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Singapore


According to our database1, Han Yu authored at least 302 papers between 2006 and 2024.

Collaborative distances:

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Bibliography

2024
Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization.
IEEE Trans. Mob. Comput., December, 2024

BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning.
IEEE Trans. Big Data, December, 2024

MarS-FL: Enabling Competitors to Collaborate in Federated Learning.
IEEE Trans. Big Data, December, 2024

Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming.
IEEE Trans. Big Data, December, 2024

Efficient Asynchronous Multi-Participant Vertical Federated Learning.
IEEE Trans. Big Data, December, 2024

Practical Attribute Reconstruction Attack Against Federated Learning.
IEEE Trans. Big Data, December, 2024

General Federated Class-Incremental Learning With Lightweight Generative Replay.
IEEE Internet Things J., October, 2024

Towards Fairness-Aware Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

AFM3D: An Asynchronous Federated Meta-Learning Framework for Driver Distraction Detection.
IEEE Trans. Intell. Transp. Syst., August, 2024

Privacy and Robustness in Federated Learning: Attacks and Defenses.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning.
IEEE Trans. Mob. Comput., June, 2024

Achieving 500X Acceleration for Adversarial Robustness Verification of Tree-Based Smart Grid Dynamic Security Assessment.
IEEE CAA J. Autom. Sinica, March, 2024

SecFedSA: A Secure Differential-Privacy-Based Federated Learning Approach for Smart Cyber-Physical Grid Stability Assessment.
IEEE Internet Things J., February, 2024

Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication.
IEEE Internet Things J., February, 2024

MMVFL: A Simple Vertical Federated Learning Framework for Multi-Class Multi-Participant Scenarios.
Sensors, January, 2024

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning.
Proc. ACM Manag. Data, 2024

Aggregating intrinsic information to enhance BCI performance through federated learning.
Neural Networks, 2024

MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion.
Neural Networks, 2024

pFedKT: Personalized federated learning with dual knowledge transfer.
Knowl. Based Syst., 2024

Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning.
IEEE Internet Things J., 2024

QFDSA: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment.
IEEE Internet Things J., 2024

Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs.
CoRR, 2024

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning.
CoRR, 2024

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning.
CoRR, 2024

Cost-Efficient Computation Offloading in SAGIN: A Deep Reinforcement Learning and Perception-Aided Approach.
CoRR, 2024

Federated Model Heterogeneous Matryoshka Representation Learning.
CoRR, 2024

pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning.
CoRR, 2024

Advances and Open Challenges in Federated Learning with Foundation Models.
CoRR, 2024

Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks.
CoRR, 2024

pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning.
CoRR, 2024

Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation.
CoRR, 2024

FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

An E-Commerce Dataset Revealing Variations during Sales.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

A Fair Incentive Mechanism for Federated Auctioning Networks.
Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Hire When You Need to: Gradual Participant Recruitment for Auction-Based Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process.
Proceedings of the International Joint Conference on Neural Networks, 2024

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dual Calibration-based Personalised Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Intelligent Agents for Auction-based Federated Learning: A Survey.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Federated Neuro-Symbolic Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-modal Learnable Queries for Image Aesthetics Assessment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FL-Clip: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Variational Quantum Circuit and Quantum Key Distribution-Based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment.
Proceedings of the IEEE International Conference on Communications, 2024

Image Aesthetics Assessment Via Learnable Queries.
Proceedings of the IEEE International Conference on Acoustics, 2024

Fairness-Aware Job Scheduling for Multi-Job Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Noise-Resistant Graph Neural Network for Node Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multi-Dimensional Fair Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation.
IEEE Trans. Veh. Technol., December, 2023

Towards Personalized Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection.
IEEE Trans. Knowl. Data Eng., December, 2023

Multicomponent Adversarial Domain Adaptation: A General Framework.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning.
Proc. ACM Manag. Data, September, 2023

EFedDSA: An Efficient Differential Privacy-Based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment.
IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2023

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion.
Neural Networks, July, 2023

Evolutionary Carrier Selection for Shared Truck Delivery Services.
IEEE Trans. Veh. Technol., May, 2023

A multimodal approach for improving market price estimation in online advertising.
Knowl. Based Syst., April, 2023

KLECA: knowledge-level-evolution and category-aware personalized knowledge recommendation.
Knowl. Inf. Syst., March, 2023

Automatic product copywriting for e-commerce.
AI Mag., March, 2023

CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning.
AI Mag., March, 2023

Intelligent online selling point extraction and generation for e-commerce recommendation.
AI Mag., March, 2023

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings.
IEEE Trans. Knowl. Data Eng., 2023

AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online.
IEEE Trans. Knowl. Data Eng., 2023

Securing Federated Learning: A Covert Communication-Based Approach.
IEEE Netw., 2023

A novel KG-based recommendation model via relation-aware attentional GCN.
Knowl. Based Syst., 2023

Bayesian Co-evolutionary Optimization based entropy search for high-dimensional many-objective optimization.
Knowl. Based Syst., 2023

Fairness in Design: A Framework for Facilitating Ethical Artificial Intelligence Designs.
Int. J. Crowd Sci., 2023

EID: Facilitating Explainable AI Design Discussions in Team-Based Settings.
Int. J. Crowd Sci., 2023

Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning.
Expert Syst. Appl., 2023

AI-Empowered Persuasive Video Generation: A Survey.
ACM Comput. Surv., 2023

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.
CoRR, 2023

Multi-Session Budget Optimization for Forward Auction-based Federated Learning.
CoRR, 2023

pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing.
CoRR, 2023

FedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning.
CoRR, 2023

FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models.
CoRR, 2023

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers.
CoRR, 2023

Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing.
CoRR, 2023

Hierarchical Federated Learning Incentivization for Gas Usage Estimation.
CoRR, 2023

Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing.
CoRR, 2023

Towards Quantum Federated Learning.
CoRR, 2023

DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation.
CoRR, 2023

Entangled Pair Resource Allocation under Uncertain Fidelity Requirements.
CoRR, 2023

Towards Interpretable Federated Learning.
CoRR, 2023

Clustered Embedding Learning for Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

Smart Healthcare with Hybrid Mobile Edge-Quantum Computing: Dynamic Computation Offloading for Latency Improvement.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Stochastic Qubit Resource Allocation for Quantum Cloud Computing.
Proceedings of the NOMS 2023, 2023

Recurrent Temporal Revision Graph Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedGH: Heterogeneous Federated Learning with Generalized Global Header.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

Reputation-Aware Opportunistic Budget Optimization for Auction-based Federation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers.
Proceedings of the IEEE International Conference on Web Services, 2023

FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness.
Proceedings of the IEEE International Conference on Web Services, 2023

Federated Learning for Personalized Image Aesthetics Assessment.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Utility-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Fairness-Aware Client Selection for Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Multi-Tier Client Selection for Mobile Federated Learning Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

Privacy Budget-Aware Incentive Mechanism for Federated Learning in Intelligent Transportation Systems.
Proceedings of the IEEE International Conference on Communications, 2023

Economics of Semantic Communication in Metaverse: An Auction Approach.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning.
ACM Trans. Intell. Syst. Technol., 2022

Federated Learning for Personalized Humor Recognition.
ACM Trans. Intell. Syst. Technol., 2022

STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network.
IEEE Trans. Ind. Informatics, 2022

Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things.
IEEE Trans. Green Commun. Netw., 2022

Byzantine-Resilient Decentralized Stochastic Gradient Descent.
IEEE Trans. Circuits Syst. Video Technol., 2022

Topology-Aware Differential Privacy for Decentralized Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising.
Knowl. Based Syst., 2022

Disagreement-based class incremental random forest for sensor-based activity recognition.
Knowl. Based Syst., 2022

Semi-Supervised Federated Heterogeneous Transfer Learning.
Knowl. Based Syst., 2022

Towards AI-Empowered Crowdsourcing.
CoRR, 2022

FIXED: Frustratingly Easy Domain Generalization with Mixup.
CoRR, 2022

Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning.
CoRR, 2022

DQC<sup>2</sup>O: Distributed Quantum Computing for Collaborative Optimization in Future Networks.
CoRR, 2022

Optimal Stochastic Resource Allocation for Distributed Quantum Computing.
CoRR, 2022

Federated Graph Neural Networks: Overview, Techniques and Challenges.
CoRR, 2022

Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

AIS Data-Based Efficient Ship Trajectory Clustering.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

A Methodological Framework for Facilitating Explainable AI Design.
Proceedings of the Social Computing and Social Media: Design, User Experience and Impact, 2022

FLAS: A Platform for Studying Attacks on Federated Learning.
Proceedings of the Social Computing and Social Media: Design, User Experience and Impact, 2022

Stochastic Resource Allocation in Quantum Key Distribution for Secure Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2022

Multi-Resource Allocation for On-Device Distributed Federated Learning Systems.
Proceedings of the IEEE Global Communications Conference, 2022

Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training.
Proceedings of the Database Systems for Advanced Applications, 2022

Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks.
Proceedings of the 27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2022

Automatic Product Copywriting for E-commerce.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Contribution-Aware Federated Learning for Smart Healthcare.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Dynamic Incentive Mechanism Design for COVID-19 Social Distancing.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

CrowdFL: A Marketplace for Crowdsourced Federated Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Intelligent Online Selling Point Extraction for E-commerce Recommendation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Group task allocation approach for heterogeneous software crowdsourcing tasks.
Peer-to-Peer Netw. Appl., 2021

3R model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce.
Knowl. Based Syst., 2021

Advances and Open Problems in Federated Learning.
Found. Trends Mach. Learn., 2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation.
CoRR, 2021

A Survey of Fairness-Aware Federated Learning.
CoRR, 2021

MarS-FL: A Market Share-based Decision Support Framework for Participation in Federated Learning.
CoRR, 2021

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering.
CoRR, 2021

Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds with Online Learning.
CoRR, 2021

Optimizing Smart Grid Operations from the Demand Side.
AI Mag., 2021

Improving Search Engine Efficiency through Contextual Factor Selection.
AI Mag., 2021

Federated Learning-Powered Visual Object Detection for Safety Monitoring.
AI Mag., 2021

DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Opportunistic Coded Distributed Computing: An Evolutionary Game Approach.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Predictive Analytics for COVID-19 Social Distancing.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Human-Machine Interaction for Autonomous Vehicles: A Review.
Proceedings of the Social Computing and Social Media: Experience Design and Social Network Analysis, 2021

Fairness in Design: A Tool for Guidance in Ethical Artificial Intelligence Design.
Proceedings of the Social Computing and Social Media: Experience Design and Social Network Analysis, 2021

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

AI-Empowered Decision Support for COVID-19 Social Distancing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Collaborative Fairness in Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Threats to Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

FedCoin: A Peer-to-Peer Payment System for Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Gamified Research Tool for Incentive Mechanism Design in Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Dealing with Label Quality Disparity in Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Towards Fair and Privacy-Preserving Federated Deep Models.
IEEE Trans. Parallel Distributed Syst., 2020

Transfer Learning with Dynamic Distribution Adaptation.
ACM Trans. Intell. Syst. Technol., 2020

Nondestructive Identification of Coal and Gangue via Near-Infrared Spectroscopy Based on Improved Broad Learning.
IEEE Trans. Instrum. Meas., 2020

Multi-component transfer metric learning for handling unrelated source domain samples.
Knowl. Based Syst., 2020

Autoencoder based sample selection for self-taught learning.
Knowl. Based Syst., 2020

A Sustainable Incentive Scheme for Federated Learning.
IEEE Intell. Syst., 2020

Introduction to the Special Issue on Federated Machine Learning.
IEEE Intell. Syst., 2020

Privacy and Robustness in Federated Learning: Attacks and Defenses.
CoRR, 2020

Federated Crowdsensing: Framework and Challenges.
CoRR, 2020

A VCG-based Fair Incentive Mechanism for Federated Learning.
CoRR, 2020

SCNet: A Neural Network for Automated Side-Channel Attack.
CoRR, 2020

Optimal Procurement Auction for Cooperative Production of Virtual Products: Vickrey-Clarke-Groves Meet Cremer-McLean.
CoRR, 2020

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention.
CoRR, 2020

Threats to Federated Learning: A Survey.
CoRR, 2020

FedCoin: A Peer-to-Peer Payment System for Federated Learning.
CoRR, 2020

FOCUS: Dealing with Label Quality Disparity in Federated Learning.
CoRR, 2020

Multi-Participant Multi-Class Vertical Federated Learning.
CoRR, 2020

Addressing the Challenges of Government Service Provision with AI.
AI Mag., 2020

A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Multi-player Game for Studying Federated Learning Incentive Schemes.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An AI-empowered Visual Storyline Generator.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

A Fairness-aware Incentive Scheme for Federated Learning.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

PIDS: An Intelligent Electric Power Management Platform.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Federated Learning
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01585-4, 2019

A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition.
IEEE Trans. Knowl. Data Eng., 2019

A Survey of Zero-Shot Learning: Settings, Methods, and Applications.
ACM Trans. Intell. Syst. Technol., 2019

Cross-position activity recognition with stratified transfer learning.
Pervasive Mob. Comput., 2019

Advances and Open Problems in Federated Learning.
CoRR, 2019

Reviewing and Improving the Gaussian Mechanism for Differential Privacy.
CoRR, 2019

A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms.
IEEE Access, 2019

Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence.
IEEE Access, 2019

Domain Specific and Idiom Adaptive Video Summarization.
Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019

Personalized Video Summarization with Idiom Adaptation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Intelligent Decision Support for Improving Power Management.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An Online Intelligent Visual Interaction System.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-Agent Visualization for Explaining Federated Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Agent-based Decision Support for Pain Management in Primary Care Settings.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fair and Explainable Dynamic Engagement of Crowd Workers.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Easy Transfer Learning By Exploiting Intra-Domain Structures.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Deep Transfer Learning For Abnormality Detection.
Proceedings of the ICCSE'19: The 4th International Conference on Crowd Science and Engineering, Jinan, China, October 18, 2019

Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Generating Persuasive Visual Storylines for Promotional Videos.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Privacy-preserving Heterogeneous Federated Transfer Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Ethically Aligned Multi-agent Coordination to Enhance Social Welfare.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2019

Ethically Aligned Opportunistic Scheduling for Productive Laziness.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Inferring Cognitive Wellness from Motor Patterns.
IEEE Trans. Knowl. Data Eng., 2018

Dynamic Generation of Internet of Things Organizational Structures Through Evolutionary Computing.
IEEE Internet Things J., 2018

Towards data-driven software engineering skills assessment.
Int. J. Crowd Sci., 2018

Visual Domain Adaptation with Manifold Embedded Distribution Alignment.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Building Ethics into Artificial Intelligence.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Artificial Intelligence Powered MOOCs: A Brief Survey.
Proceedings of the IEEE International Conference on Agents, 2018

Opportunistic Work-Rest Scheduling for Productive Aging.
Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018

Personalized Emotion-Aware Video Streaming for the Elderly.
Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018

SmartHS: An AI Platform for Improving Government Service Provision.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Complex crowdsourcing task allocation strategies employing supervised and reinforcement learning.
Int. J. Crowd Sci., 2017

A social influence based trust model for recommender systems.
Intell. Data Anal., 2017

Deep Model for Dropout Prediction in MOOCs.
Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Efficient Crowd-Powered Active Learning for Reliable Review Evaluation.
Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Learning Complex Crowdsourcing Task Allocation Strategies from Humans.
Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Efficient scheduling in crowdsourcing based on workers' mood.
Proceedings of the IEEE International Conference on Agents, 2017

Fuzzy logic based assessment on the adaptive level of rehabilitation exergames for the elderly.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Crowdsensing Air Quality with Camera-Enabled Mobile Devices.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
CTP: A scheduling strategy to smooth response time fluctuations in multi-tier website system.
Microprocess. Microsystems, 2016

MapReduce short jobs optimization based on resource reuse.
Microprocess. Microsystems, 2016

Balancing quality and budget considerations in mobile crowdsourcing.
Decis. Support Syst., 2016

A Survey on Artificial Intelligence and Data Mining for MOOCs.
CoRR, 2016

Towards Emotionally Intelligent Machines: Taking Social Contexts into Account.
Proceedings of the Social Computing and Social Media, 2016

A Hybrid Approach for Detecting Fraudulent Medical Insurance Claims: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

A Kinect-based Interactive Game to Improve the Cognitive Inhibition of the Elderly: (Demonstration).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Infusing Human Factors into Algorithmic Crowdsourcing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Productive Aging through Intelligent Personalized Crowdsourcing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

A Fraud Resilient Medical Insurance Claim System.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multi-Agent System Development MADE Easy.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Efficient Collaborative Crowdsourcing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
The Effects of Familiarity Design on the Adoption of Wellness Games by the Elderly.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Agent Augmented Inter-Generational Crowdsourcing.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

An Agent-Based Game Platform for Exercising People's Prospective Memory.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

An Evolutionary Framework for Multi-agent Organizations.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Quality and Budget Aware Task Allocation for Spatial Crowdsourcing.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Empirical Analysis of Reputation-aware Task Delegation by Humans from a Multi-agent Game.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

An Affective Agent for Studying Composite Emotions.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Efficient Task Sub-Delegation for Crowdsourcing.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings.
Proceedings of the 17th International Conference on Electronic Commerce 2015, 2015

2014
Situation-aware trust management in multi-agent systems
PhD thesis, 2014

Filtering trust opinions through reinforcement learning.
Decis. Support Syst., 2014

Designing Socially Intelligent Virtual Companions.
CoRR, 2014

An Evolutionary Approach for Optimizing Hierarchical Multi-Agent System Organization.
CoRR, 2014

An Empirical Analysis of Task Allocation in Scrum-based Agile Programming.
CoRR, 2014

Identifying Talented Software Engineering Students through Data-driven Skill Assessment.
CoRR, 2014

Using goal net to model user stories in agile software development.
Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, 2014

A Social Trust Model Considering Trustees' Influence.
Proceedings of the PRIMA 2014: Principles and Practice of Multi-Agent Systems, 2014

Studying task allocation decisions of novice agile teams with data from agile project management tools.
Proceedings of the ACM/IEEE International Conference on Automated Software Engineering, 2014

A multi-agent game for studying human decision-making.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Reputation-aware task allocation for human trustees.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

An agent-based game for the predictive diagnosis of parkinson's disease.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Reputation-Aware Continuous Double Auction.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

RepRev: Mitigating the Negative Effects of Misreported Ratings.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A Survey of Multi-Agent Trust Management Systems.
IEEE Access, 2013

A Reputation Management Approach for Resource Constrained Trustee Agents.
Proceedings of the IJCAI 2013, 2013

From Internet of Things to Internet of Agents.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

A reputation-aware decision-making approach for improving the efficiency of crowdsourcing systems.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

The innovative application of learning companions in virtual singapura.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

A fuzzy logic based reputation model against unfair ratings.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Bringing reputation-awareness into crowdsourcing.
Proceedings of the 9th International Conference on Information, 2013

2012
An Adaptive Witness Selection Method for Reputation-Based Trust Models.
Proceedings of the PRIMA 2012: Principles and Practice of Multi-Agent Systems, 2012

Challenges and Opportunities for Trust Management in Crowdsourcing.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

2011
Trust-based web service selection in virtual communities.
Web Intell. Agent Syst., 2011

A Cloud and Agent Based Architecture Design for an Educational Mobile SNS Game.
Proceedings of the Edutainment Technologies. Educational Games and Virtual Reality/Augmented Reality Applications, 2011

A simple curious agent to help people be curious.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
A Survey of Trust and Reputation Management Systems in Wireless Communications.
Proc. IEEE, 2010

Agents as intelligent user interfaces for the net generation.
Proceedings of the 15th International Conference on Intelligent User Interfaces, 2010

An emotion aware agent platform for interactive storytelling and gaming.
Proceedings of the International Academic Conference on the Future of Game Design and Technology, Vancouver, BC, Canada, May 06, 2010

2009
Towards a trust aware cognitive radio architecture.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009

Evolutionary organizational search.
Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008
A goal-oriented development tool to automate the incorporation of intelligent agents into interactive digital media applications.
Comput. Entertain., 2008

Transforming Learning through Agent Augmented Virtual World.
Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies, 2008

2007
Mobile G-Portal supporting collaborative sharing and learning in geography fieldwork: an empirical study.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

Intelligent Software Agent Design Tool Using Goal Net Methodology.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

A service based multi-agent system design tool for modelling integrated manufacturing and service systems.
Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2007

2006
A virtual agent based mobile 3D game with mascot capsule Micro3D API.
Proceedings of the 3rd international conference on Mobile technology, 2006


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