Name: Han Yu
Position: Nanyang Assistant Professor (NAP)
Office: N4-02c-109, School of Computer Science and Engineering (SCSE)
Nanyang Technological University (NTU)
50 Nanyang Avenue, Singapore 639798
Lab: Trustworthy Federated Ubiquitous Learning (TrustFUL) Research Lab

Email:
ORCID: orcid.org/0000-0001-6893-8650, Complete Website, Google Scholar, Download Full CV

Biography

Dr Han Yu is a Nanyang Assistant Professor (NAP) in the School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore. He has been a Visiting Scholar at the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST) from 2017 to 2018. Between 2015 and 2018, he held the prestigious Lee Kuan Yew Post-Doctoral Fellowship (LKY PDF) at the Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY). Before joining NTU, he worked as an Embedded Software Engineer at Hewlett-Packard (HP) Pte Ltd, Singapore. He obtained his PhD from the School of Computer Science and Engineering, NTU in 2014. During his PhD study, he held the prestigious Singapore Millennium Foundation (SMF) PhD Scholarship. His research focuses on online convex optimization, ethical AI, federated machine learning and their applications in complex collaborative systems such as crowdsourcing. He has published over 150 research papers in book chapters, leading international conferences and journals including AAAI, IJCAI, CVPR, SIGIR, ASE, ACM MM, CIKM, AAMAS, NAACL, and ACM/IEEE Transactions. He co-authored the book "Federated Learning" - the first monograph on the topic of federated learning. His research work has been recognized with 24 awards from conferences and journals. He is a founding Co-PI of the Trustworthy Federated Ubiquitous Learning (TrustFUL) Research Lab (https://trustful.federated-learning.org/).


Work Experience


Education


Research Interest


Vacancies

  1. AISG PhD Fellowship Programme: The AISG PhD Fellowship Programme is part of AISG's Research programme which supports top AI research talents in pursuing their PhD in Singapore-based Autonomous Universities, including National University of Singapore (NUS), Nanyang Technological University (NTU), Singapore Management University (SMU), Singapore University of Technology and Design (SUTD). There is no restriction on nominees' nationality. A competitive stipend of up to S$6,000 monthly, on top of other allowances and full tuition fees, support up to four years of studies at Singapore-based AUs.
  2. PhD Scholarships @ A*STAR Computing and Information Science (ACIS) Scholarship: for Singaporeans and other nationals intending to take up Singapore citizenship. A monthly stipend of S$5,000 (Singaporeans) / S$4,000 (Singapore PRs) / S$3,750 (Others) for 4 years. Full tuition fee support. Good conference travel support.
  3. The Singapore International Graduate Award (SINGA): This scholarship is available to international students seeking admission as a full-time student for a PhD by research, and is offered jointly by the university and the Agency for Science, Technology & Research (A*STAR). It covers tuition fees, and provides an initial monthly stipend of S$2,000 (increasing after passing the PhD qualifying examinations), as well as one-time settling-in and airfare grants.
  4. PhD Scholarships @ the Alibaba-NTU Joint Research Institute: the Alibaba Talent Programme PhD Scholarship: Open to Singapore Citizens and Permanent Residents (PRs) only. A monthly stipend of S$5,000 for 4 years. Full tuition fee support. CPF contributions. Good conference travel support.
  5. Nanyang President's Graduate Scholarship (NPGS): The Nanyang President's Graduate Scholarship (NPGS) is a competitive and prestigious scholarship scheme designed to encourage outstanding graduates or final-year students to take their first step towards a leading research career by studying for a full time PhD at NTU. A monthly stipend of S$3,600 (Singaporeans) / S$3,400 (Singapore PRs) / S$3,100 (Others) for 4 years. Full tuition fee support. Good conference travel support.
  6. NTU Research Scholarship: The NTU Research Scholarship is awarded to outstanding graduate students for research. You are eligible for this scholarship if you are a local or international student seeking admission as a full-time candidate pursuing a Graduate Research programme at NTU. A monthly stipend of S$2,800 (Singaporeans) / S$2,400 (Singapore PRs) / S$2,200 (Others) for 4 years. Full tuition fee support. Good conference travel support.
  7. Research Fellowship (for PhD holders) / Research Associate (for Master's degree holders) / Research Engineer (for Bachelor's degree holders) positions available with attractive remuneration. Current Opening:
    1. Research Fellow (Computer Science/Engineering, Electronic/Electrical Engineering) #SGUnitedJobs #RIE [Note: only for Singapore citizens or PRs].
    2. Research Fellow (Computer Science/Engineering/Electrical/Electronic Engineering/Mathematics).
    3. Research Associate (Computer Science/Engineering) #SGUnitedJobs #RIE [Note: only for Singapore citizens or PRs].
    4. Project Officer (Computer Science/Engineering).

Research Projects

  1. FLAS: A Simulation Platform for Studying Attacks on Federated Learning (Watch Video).
  2. Federated Graph Embedding for Efficient and Privacy Respecting COVID-19 Contact Tracing (Watch Video).
  3. Fairness in Design: A online collaborative design tool for incorporating fairness considerations into AI solutions (Watch Video).
  4. CrowdFL: A crowdsourcing marketplace for federated learning (Watch Video).
  5. Trust-based Open Collaborative Federated Learning (Watch Video).
  6. crowded.sg: A Social Distancing Decision Support Platform for COVID-19 (Watch Video).
  7. Fighting COVID-19 with AI: An Overview (Watch Video).
  8. Population-level Parkinson's disease screening through Chinese handwriting analytics on mobile devices (Watch Video).
  9. COVID-19 in Ride-sharing Systems - A multi-agent simulator of infectious disease propagation in ride-sharing systems (Watch Video).
  10. FedCoin - A blockchain based P2P payment system for federated learning incentive schemes (Watch Video).
  11. FedGame - A multi-player game for studying how FL participants act under different incentive schemes (Watch Video).
  12. FedVision - A federated learning visual object detection system for operational safety (Watch Video).
  13. Crowdsourcing Task Matching with Algorithmic Fairness, Interpretability and Federated Learning (Watch Video).
  14. AI-empowered Visual Storyline Generator (Watch Video).
  15. Federated Learning for Healthcare (Watch Video).
  16. Efficient Smart Grid with Algorithmic Fairness and Interpretability (Watch Video).
  17. Agile Manager the game - Studying human decision-making in teamwork management (Watch Video).

Research Grants

  1. 2021 - 2025: Co-Principal Investigator, "TrustFUL: Trustworthy Federated Ubiquitous Learning", AI Singapore Research Programme Grant (No. AISG2-RP-2020-019), S$6,883,200.
  2. 2020 - 2022: Principal Investigator, "Towards an Ecosystem for Federated Learning Incentive", The NTU-WeBank Joint Research Centre on FinTech Grant (No. NWJ-2020-008), S$400,000.
  3. 2020 - 2022: Co-Principal Investigator, "User Experience and Trust in Mobile Banking", The NTU-WeBank Joint Research Centre on FinTech Grant (No. NWJ-2020-009), S$400,000.
  4. 2020 - 2024: Co-Principal Investigator, "Next-Generation Brain-Computer-Brain Platform - A Holistic Solution for the Restoration & Enhancement of Brain Functions (NOURISH)", A*STAR AME Programmatic Fund (No. A20G8b0102), S$9,950,280.
  5. 2019 - 2020: Principal Investigator, "Incentive Mechanism Design for Federated Machine Learning", The NTU-WeBank Joint Research Centre on FinTech Grant (No. NWJ-2019-007), S$100,000.
  6. 2019 - 2020: Co-Principal Investigator, "User Experience Study for Online Banking Products", The NTU-WeBank Joint Research Centre on FinTech Grant, S$100,000.
  7. 2019 - 2021: Co-Principal Investigator, "An End-to-end Adaptive AI-Assisted 3H Care (A3C) System", AI Singapore Grand Challenge Grant, S$4,600,000.
  8. 2018 - 2022: Principal Investigator, "AI-Powered Crowd-computing (AIPC)", Nanyang Assistant Professorship (NAP) Grant, Nanyang Technological University, S$1,000,000.
  9. 2017 - 2019: Co-Principal Investigator, "An AI-Powered Big Data Platform for Analytics and Intervention in Pain Management", MOE Tier 1 Research Grant, S$100,000.
  10. 2015 - 2018: Principal Investigator, "Intelligent Personalized Crowdsourcing for Productive Aging", Lee Kuan Yew Endowment Fund, Singapore, S$180,000.

Research Awards

  1. 2022: Innovative Applications of AI Award, AAAI - "Contribution-Aware Federated Learning for Smart Healthcare".
  2. 2022: Innovative Applications of AI Award, AAAI - "Intelligent Online Selling Point Extraction for E-Commerce Recommendation".
  3. 2022: Innovative Applications of AI Award, AAAI - "Automatic Product Copywriting for E-Commerce".
  4. 2022: Innovative Applications of AI Award, AAAI - "Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce".
  5. 2021: Best Paper Award, "Personalised Federated Learning: A Combinational Approach," STCAI'21.
  6. 2021: PREMIA Best Student Paper Runners Up Award, "Noise-resistant Deep Metric Learning with Ranking-based Instance Selection", CVPR'21.
  7. 2021: PREMIA Best Presentation Award, "Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection", NAACL-HLT'21.
  8. 2021: Innovative Applications of AI Award, AAAI - "Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank".
  9. 2020: Innovative Applications of AI Award, AAAI - "FedVision: An Online Visual Object Detection Platform powered by Federated Learning".
  10. 2020: Innovative Applications of AI Award, AAAI - "Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection".
  11. 2020: Innovative Applications of AI Award, AAAI - "PIDS: An Intelligent Electric Power Management Platform".
  12. 2019: Innovation Award, IJCAI'19 - "Fair and Explainable Dynamic Engagement of Crowd Workers".
  13. 2019: Most Educational Video Award, IJCAI'19 - "Learning Federated Learning".
  14. 2018: Most Societally Beneficial Video Award, IJCAI'18 - "Persuasive AI Companions for Active Independent Ageing".
  15. 2018: Innovative Applications of AI Award, AAAI - "SmartHS: An AI Platform for Improving Government Service Provision".
  16. 2017: Best Student Paper Award, IJIT - "Towards Trust-aware Health Monitoring Body Area Sensor Network".
  17. 2016: Best Poster Award, ICCSE'16 - "Efficient Crowd-powered Active Learning for Reliable Review Evaluation".
  18. 2016: Best Paper Award, ICCSE'16 - "Towards Data-driven Software Engineering Skills Assessment".
  19. 2016: Best Paper Award, SCSM'16 - "Towards Emotionally Intelligent Machines: Taking Social Contexts into Account".
  20. 2016: Best Student Poster Award, AAAI-16 - "Efficient Collaborative Crowdsourcing".
  21. 2016: Best Video - People's Choice Award, AAAI-16 - "Artificial Intelligence for Liveable Cities".
  22. 2015: Best Demo Award, WI-IAT'15 - "Agent Augmented Inter-generational Crowdsourcing".
  23. 2015: Best Application Video Award, IJCAI'15 - "Goal Oriented Teachable Agent in Virtual Learning Environment".
  24. 2011: Best Paper Award, ICCT'11 - "Dynamic Witness Selection for Trustworthy Distributed Cooperative Sensing in Cognitive Radio Networks".

Editorial Services

  1. Associate Editor, International Journal of Crowd Science (IJCS).
  2. Guest Editor, Special Issue on Trustable, Verifiable, and Auditable Federated Learning, IEEE Transactions on Big Data (TBD), 2022.
  3. Guest Editor, Special Issue on Big Data Intelligence in Healthcare Applications Based on Physiological Signals, Journal of Healthcare Engineering, 2021.
  4. Editor, Federated Learning: Privacy and Incentive, 2020.
  5. Editorial Board Member, Frontiers in Sustainable Cities, 2020 - now.
  6. Guest Editor, Special Issue on Federated Machine Learning, IEEE Intelligent Systems, 2019.
  7. Guest Editor, Special Issue on Big Data Intelligence in Healthcare Applications Based on Physiological Signals, Journal of Healthcare Engineering, 2019.

Conference Organization Services

  1. Industry Day Co-Chair, the 31st International Joint Conference on Artificial Intelligence (IJCAI'22), Vienna, Austria, 2022.
  2. Sponsorship Co-Chair, the 31st International Joint Conference on Artificial Intelligence (IJCAI'22), Vienna, Austria, 2022.
  3. Program Co-Chair, the 17th International Conference on Advanced Data Mining and Applications (ADMA'21), Sydney, Australia, 2021.
  4. Industry Day Co-Chair, the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), Montreal, QB, Canada, 2021.
  5. Sponsorship Co-Chair, the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), Montreal, QB, Canada, 2021.
  6. Member, ACM SIGAI Industry Award Committee, 2021.
  7. Organizer, Parallel Session on the Ethics of Artificial Intelligence: Methods and Applications, the 13th International Conference on Social Computing and Social Media (SCSM'21), 2021.
  8. Industry Day Co-Chair, the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020.
  9. Sponsorship Co-Chair, the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020.
  10. Co-Chair, Special Track on Federated Machine Learning, the 2019 IEEE International Conference on Big Data (IEEE BigData'19), Los Angeles, CA, USA, 2019.
  11. Program Co-Chair, the 4th International Conference on Crowd Science and Engineering (ICCSE'19), Jinan, China, 2019.
  12. Publicity Co-Chair, the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), Macau, 2019.
  13. Program Co-Chair, the 3rd IEEE International Conference on Agents (ICA'18), Singapore, 2018.
  14. Chair, Special Session on Innovative Social Media and Computing Technologies for Aging Societies, the 20th International Conference on Human-Computer Interaction (HCI'18), Las Vegas, NV, USA, 2018.

Workshop Organization Services

  1. General Co-Chair, International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22), Vancouver, BC, Canada, 2022.
  2. Program Co-Chair, International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality in Conjunction with IJCAI 2021 (FTL-IJCAI'21), Montreal, QB, Canada, 2021.
  3. Co-Organizer, International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21), Virtual, 2021.
  4. Program Co-Chair, AAAI 2021 Workshop: Towards Robust, Secure and Efficient Machine Learning (RSEML'21), Vancouver, BC, Canada, 2021.
  5. Co-Organizer, International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2020 (FL-ICML'20), Vienna, Austria, 2020.
  6. Program Co-Chair, International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20), Yokohama, Japan, 2020.
  7. Co-Organizer, IBM Workshop on Federated Learning and Analytics (FL-IBM'20), New York, NY, USA, 2020.
  8. Co-Chair, International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with NeurIPS 2019 (FL-NeurIPS'19), Vancouver, BC, Canada, 2019.
  9. Publicity Co-Chair, the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FL-IJCAI'19), Macau, 2019.
  10. Co-Chair, Workshop on Artificial Intelligence Safety (AISafety-IJCAI'19), Macau, 2019.

Administrative Services

  1. 2020: Reviewer, "The AI Ethics and Governance Body of Knowledge (AI E&G BoK)", Singapore Computer Society.
  2. 2019 - now: Judge, WeBank FinTechathon, Shenzhen, China.
  3. 2019 - now: Judge, Singapore Science and Engineering Fair (SSEF).
  4. 2019 - now: Selection Panel Member, Wallenberg-NTU Presidential Postdoctoral Fellowship (PPF).

Service Awards

  1. 2021: Certificate of Appreciation, IJCAI'21.
  2. 2019: Certificate of Appreciation, IJCAI'19.
  3. 2018: Outstanding Reviewer Award, Journal of Retailing and Consumer Services (JRCS), Elsevier.

Teaching Experience

  1. 2021 - now: Foundations of AI Ethics, Nanyang Technological University, Singapore.
  2. 2021 - now: Business Liability and Ethics in AI Usage, Nanyang Technological University, Singapore.
  3. 2020: CZ3005 - Artificial Intelligence, Nanyang Technological University, Singapore.
  4. 2020 - now: AI6101 - Introduction to AI and AI Ethics, Nanyang Technological University, Singapore.
  5. 2020: CZ2003 - Computer Graphics and Visualization, Nanyang Technological University, Singapore.
  6. 2020: Responsible Artificial Intelligence for Social Good, Shandong University, Jinan, China.
  7. 2019 - now: CZ3003 - Software Systems Analysis and Design, Nanyang Technological University, Singapore.
  8. 2019 - now: AI in Healthcare in the Age of Industry 4.0, Nanyang Technopreneur Center, Singapore.
  9. 2019: Advanced AI Algorithms, Shandong University, Jinan, China.
  10. 2018: CZ4031 - Database System Principles, Nanyang Technological University, Singapore.
  11. 2015 - 2018: CZ2004 - Human-Computer Interaction, Nanyang Technological University, Singapore.
  12. 2014 - 2016: CZ3002 - Advanced Software Engineering, Nanyang Technological University, Singapore.
  13. 2013 - 2014: CI6223 - Interactive Media Development, Nanyang Technological University, Singapore.
  14. 2011 - 2012: CSC/CPE105 - Data Structure & Object Oriented Programming, Nanyang Technological University, Singapore.

Teaching Awards

  1. 2020: Highly Commended Entrant for the Global Undergraduate Awards 2020 for my Final Year Student Anqi Tu with project entitled "Development of an AI-powered Shareable Bike Rebalancing System".

Intellectual Properties

Granted Patents
  1. Y. Liu, H. Yu, T. Chen & Q. Yang, "Method and Device for Determining Contribution Degree of Participant," Patent No. CN110717671B, 31/08/2021.
  2. Y. Liu, H. Yu, T. Chen & Q. Yang, "Attack Coping Method and Federal Learning Device," Patent No. CN111445031B, 27/07/2021.
  3. Y. Liu, H. Yu, T. Chen & Q. Yang, "User Indexing Method in Federated Learning and Federated Learning Device," Patent No. CN111428885B, 04/06/2021.
  4. H. Yu, C. Miao, Z. Shen & C. Leung, "Method and Apparatus for Algorithmic Control of the Acceptance of Orders by an E-Commerce Enterprise," Patent No. 10,970,772 B2, 06/04/2021.
  5. H. Yu, C. Miao, Z. Shen & C. Leung, "Method and Apparatus for Algorithmic Control of the Acceptance of Orders by an E-Commerce Enterprise," Patent No. CN106133779B, 02/03/2021.
Technology Disclosures
  1. C. Liu, Y. Dong, Z. Shen, H. Yu, Z. Gao, P. Wang, P. Ren & X. Xie, "Visual Material Sequence Generation for Product Promotion Videos," Technology Disclosure for Nanyang Technological University (TD-2020-308), 01/10/2020.
  2. H. Xu, H. Yu, F. J. Lim & Q. Zhou, "A WeUX Index Online System for Mobile Banking User Experience Data Collection and Evaluation," Technology Disclosure for Nanyang Technological University (TD-2020-191), 16/06/2020.
  3. X. Guo, H. Yu & C. Miao, "Weakly Supervised Learning for Decision Support in Pain Management," Technology Disclosure for Nanyang Technological University (TD-2020-145), 11/05/2020.
  4. Y. Dong, C. Liu, Z. Shen, H. Yu, Z. Gao, P. Wang & P. Ren, "Personalized Video Summarization," Technology Disclosure for Nanyang Technological University (TD-2020-070), 19/03/2020.
  5. H. Yu, C. Miao, Z. Shen & C. Leung, "A Method and System for Quality and Budget aware Task Allocation in Spatial Crowdsourcing," Technology Disclosure for Nanyang Technological University (TD-133-14), 30/09/2014.

Research Publications

arXiv Preprints
  1. Y. Shi, H. Yu & C. Leung, "A Survey of Fairness-Aware Federated Learning," CoRR, arXiv:2111.01872, 2021.
  2. X. Wu & H. Yu, "MarS-FL: A Market Share-based Decision Support Framework for Participation in Federated Learning," CoRR, arXiv:2110.13464, 2021.
  3. Y.-A. Xie, J. Kang, D. Niyato, N. T. T. Van, N. C. Luong, Z. Liu & H. Yu, "Securing Federated Learning: A Covert Communication-based Approach," CoRR, arXiv:2110.02221, 2021.
  4. P. S. Kyaw & H. Yu, "Personalised Federated Learning: A Combinational Approach," CoRR, arXiv:2108.09618, 2021.
  5. A. Z. Tan, H. Yu, L. Cui & Q. Yang, "Towards Personalized Federated Learning," CoRR, arXiv:2103.00710, 2021.
  6. L. Lyu, H. Yu, X. Ma, L. Sun, J. Zhao, Q. Yang & P. S. Yu, "Privacy and Robustness in Federated Learning: Attacks and Defenses," CoRR, arXiv:2012.06337, 2020.
  7. L. Wang, H. Yu & X. Han, "Federated Crowdsourcing: Framework and Challenges," CoRR, arXiv:2011.03208, 2020.
  8. G. Li, C. Liu, H. Yu, Y. Fan, L. Zhang, Z. Wang & M. Wang, "SCNet: A Neural Network for Automated Side-Channel Attack," CoRR, arXiv:2008.00476, 2020.
  9. M. Cong, X. Weng, H. Yu, J. Qu & S. M. Yiu, "Optimal Procurement Auction for Cooperative Production of Virtual Products: Vickrey-Clarke-Groves Meet Cremer-McLean," CoRR, arXiv:2007.14780, 2020.
  10. C. Ju, R. Zhao, J. Sun, X. Wei, B. Zhao, Y. Liu, H. Li, T. Chen, X. Zhang, D. Gao, B. Tan, H. Yu & Y. Jin, "Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention," CoRR, arXiv:2006.10517, 2020.
  11. L. Lyu, H. Yu & Q. Yang, "Threats to Federated Learning: A Survey," CoRR, arXiv:2003.02133, 2020.
  12. Y. Liu, S. Sun, Z. Ai, S. Zhang, Z. Liu & H. Yu, "FedCoin: A Peer-to-Peer Payment System for Federated Learning," CoRR, arXiv:2002.11711, 2020.
  13. S. Feng & H. Yu, "Multi-Participant Multi-Class Vertical Federated Learning," CoRR, arXiv:2001.11154, 2020.
  14. Y. Chen, X. Yang, X. Qin, H. Yu, B. Chen & Z. Shen, "FOCUS: Dealing with Label Quality Disparity in Federated Learning," CoRR, arXiv:2001.11359, 2020.
  15. S. Fauvel & H. Yu, "A Survey on Artificial Intelligence and Data Mining for MOOCs," CoRR, arXiv:1601.06862, 2016.
  16. H. Yu, Z. Shen, Q. Wu & C. Miao, "Designing Socially Intelligent Virtual Companions," CoRR, arXiv:1411.7090, 2014.
  17. J. Lin, H. Yu & Z. Shen, "An Empirical Analysis of Task Allocation in Scrum-based Agile Programming," CoRR, arXiv:1411.6201, 2014.
  18. J. Lin, H. Yu & Z. Shen, "Identifying Talented Software Engineering Students through Data-driven Skill Assessment," CoRR, arXiv:1411.6197, 2014.
Books
  1. Yang, Q., Fan, L. & Yu, H. (Eds.). (2020). Federated Learning: Privacy and Incentive. Springer International Publishing, Switzerland, p. 282.
  2. 杨强、刘洋、程勇、 康炎、陈天健、于涵联邦学习》 电子工业出版社,p. 208,2020.
  3. Yang, Q., Liu, Y., Cheng, Y., Kang, Y., Chen, T. & Yu, H. (2019). Federated Learning. Morgan & Claypool Publishers, San Rafael, CA, USA, p. 207. (Chinese Translation)
Book Chapters
  1. Lyu, L., Yu, H., Zhao, J. & Yang, Q. (2020). Threats to Federated Learning. In: Yang, Q., Fan, L. & Yu, H. (Eds.). Federated Learning: Privacy and Incentive, pp. 1-14. Springer International Publishing, Switzerland.
  2. Chen, Y., Wang, X., Qin, X., Yu, H., Chen, B. & Shen, Z. (2020). Dealing with Label Quality Disparity in Federated Learning. In: Yang, Q., Fan, L. & Yu, H. (Eds.). Federated Learning: Privacy and Incentive, pp. 106-120. Springer International Publishing, Switzerland.
  3. Liu, Y., Ai, Z., Sun, S., Zhang, S., Liu, Z. & Yu, H. (2020). FedCoin: A Peer-to-Peer Payment System for Federated Learning. In: Yang, Q., Fan, L. & Yu, H. (Eds.). Federated Learning: Privacy and Incentive, pp. 121-134. Springer International Publishing, Switzerland.
  4. Chen, Z., Liu, Z., Ng, K. L., Yu, H., Liu, Y. & Yang, Q. (2020). A Gamified Research Tool for Incentive Mechanism Design in Federated Learning. In: Yang, Q., Fan, L. & Yu, H. (Eds.). Federated Learning: Privacy and Incentive, pp. 164-171. Springer International Publishing, Switzerland.
  5. Lyu, L., Xu, X., Wang, Q. & Yu, H. (2020). Collaborative Fairness in Federated Learning. In: Yang, Q., Fan, L. & Yu, H. (Eds.). Federated Learning: Privacy and Incentive, pp. 185-199. Springer International Publishing, Switzerland.
  6. Cong, M., Yu, H., Weng, X. & Yiu, S.-M. (2020). A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning. In: Yang, Q., Fan, L. & Yu, H. (Eds.). Federated Learning: Privacy and Incentive, pp. 200-217. Springer International Publishing, Switzerland.
  7. Yu, H., Weng, J., Ong, Y. S. & Cong, G. (2020). Data Management. In: Chellam, R. (Ed.). The AI Ethics & Governance Body of Knowledge (AI E&G BoK), Singapore Computer Society.
  8. Yu, H., Miao, C., An, B., Shen, Z. & Leung, C. (2018). Making Efficient Reputation-aware Decisions in Multi-agent Systems. In: Hao, J. & Leung, H.-F. (Eds.). Interactions in Multiagent Systems, pp. 43-64. World Scientific, Singapore.
  9. Tao, X., Shen, Z., Miao, C., Theng, Y. L., Miao, Y. & Yu, H. (2010). Automated Negotiation through a Cooperative-Competitive Model. In: Ito, T., Zhang, M., Robu, V., Fatima, S., Matsuo, T. & Yamaki, H. (Eds.). Innovations in Agent-Based Complex Automated Negotiations. Studies in Computational Intelligence, vol. 319, pp. 161-178. Springer, Berlin, Heidelberg.
International Journal Articles
  1. Liu, Z., Chen, Y., Yu, H., Liu, Y. & Cui, L. GTG-Shapley: Efficient and accurate participant contribution evaluation in federated learning. ACM Transactions on Intelligent Systems and Technology, ACM (2022).
  2. Guo, X., Yu, H., Li, B., Wang, H., Xing, P., Feng, S., Nie, Z. & Miao, C. Federated learning for personalized humor recognition. ACM Transactions on Intelligent Systems and Technology, ACM (2022).
  3. Guo, S., Zhang, T., Xu, G., Yu, H., Xiang, T. & Liu, Y. Byzantine-resilient decentralized stochastic gradient descent. IEEE Transactions on Circuits and Systems for Video Technology, doi:10.1109/TCSVT.2021.3116976, IEEE (2021).
  4. Liu, Y., Zou, X. & Yu, H. 3R Model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce. Knowledge-Based Systems 231, doi:10.1016/j.knosys.2021.107441, Elsevier (2021).
  5. Guo, S., Zhang, T., Xu, G., Yu, H., Xiang, T. & Liu, Y. Topology-aware differential privacy for decentralized image classification. IEEE Transactions on Circuits and Systems for Video Technology, doi:10.1109/TCSVT.2021.3105723, IEEE (2021).
  6. Huzhang, G., Pang, Z.-J., Gao, Y., Liu, Y., Shen, W., Zhou, W.-J., Lin, Q., Da, Q., Zeng, A.-X., Yu, H., Yu, Y. & Zhou, Z.-H. AliExpress Learning-To-Rank: Maximizing online model performance without going online. IEEE Transactions on Knowledge and Data Engineering, doi:10.1109/TKDE.2021.3098898, IEEE (2021).
  7. Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., D'Oliveira, R. G. L., Rouayheb, S. E., Evans, D., Gardner, J., Garrett, Z., Gascon, A., Ghazi, B., Gibbons, P. B., Gruteser, M., Harchaoui, Z., He, C., He, L., Huo, Z., Hutchinson, B., Hsu, J., Jaggi, M., Javidi, T., Joshi, G., Khodak, M., Konecny, J., Korolova, A., Koushanfar, F., Koyejo, S., Lepoint, T., Liu, Y., Mittal, P., Mohri, M., Nock, R., Ozgur, A., Pagh, R., Raykova, M., Qi, H., Ramage, D., Raskar, R., Song, D., Song, W., Stich, S. U., Sun, Z., Suresh, A. T., Tramer, F., Vepakomma, P., Wang, J., Xiong, L., Xu, Z., Yang, Q., Yu, F. X., Yu, H. & Zhao, S. Advances and open problems in federated learning. Foundations and Trends in Machine Learning 14(1-2), 1-210, Now Publishers (2021).
  8. Yang, H., Wang, T., Tang, X., Yu, H., Liu, F. & Song, H. Dynamically optimizing display advertising profits under diverse budget settings. IEEE Transactions on Knowledge and Data Engineering, doi:10.1109/TKDE.2021.3077699, IEEE (2021).
  9. Zheng, Y., Yu, H., Shi, Y., Zhang, K., Zhen, S., Cui, L., Leung, C. & Miao, C. Optimizing smart grid operations from the demand side. AI Magazine 42(2), AAAI Press (2021).
  10. Liu, Y., Huang, A., Luo, Y., Huang, H., Liu, Y., Chen, Y., Feng, L., Chen, T., Yu, H. & Yang, Q. Federated learning-powered visual object detection for safety monitoring. AI Magazine 42(2), AAAI Press (2021).
  11. Zeng, A., Yu, H., Da, Q., Zhan, Y., Yu, Y., Zhou, J. & Miao, C. Improving search engine efficiency through contextual factor selection. AI Magazine 42(2), AAAI Press (2021).
  12. Lei, M., Li, J., Li, M., Zou, L. & Yu, H. An improved UNet++ model for congestive heart failure diagnosis using short-term RR intervals. Diagnostics 11(3), doi:10.3390/diagnostics11030534, MDPI (2021).
  13. Lei, M., Rao, Z., Wang, H., Chen, Y., Zou, L. & Yu, H. Maceral groups analysis of coal based on sematic segmentation of photomicrographs via the improved U-net. Fuel 294, doi:10.1016/j.fuel.2021.120475, Elsevier (2021).
  14. Zhou, Q., Lim, F. J., Yu, H., Xu, G., Ren, X., Liu, D., Wang, X., Mai, X. & Xu, H. A study on factors affecting service quality and loyalty intention in mobile banking. Journal of Retailing and Consumer Services 60, doi:10.1016/j.jretconser.2020.102424, Elsevier (2021).
  15. Yin, X., Huang, J., He, W., Guo, W., Yu, H. & Cui, L. Group task allocation approach for heterogeneous software crowdsourcing tasks. Peer-to-Peer Networking and Applications, doi:10.1007/s12083-020-01000-6, Springer (2020).
  16. Yi, C., Xu, Y., Yu, H., Yan, Y. & Liu, Y. Multi-component transfer metric learning for handling unrelated source domain samples. Knowledge-Based Systems 203, doi:10.1016/j.knosys.2020.106132, Elsevier (2020).
  17. Lyu, L., Yu, J., Nandakumar, K., Li, Y., Ma, X., Jin, J., Yu, H. & Ng, K. S. Towards fair and privacy-preserving federated deep models. IEEE Transactions on Parallel and Distributed Systems 31(11), 2524-2541, IEEE (2020).
  18. Zou, L., Yu, X., Li, M., Lei, M. & Yu, H. Nondestructive identification of coal and gangue via near-infrared spectroscopy based on improved broad learning. IEEE Transactions on Instrumentation and Measurement 69(10), 8043-8052, IEEE (2020).
  19. Yu, H., Liu, Z., Liu, Y., Chen, T., Cong, M., Weng, X., Niyato, D. & Yang, Q. A sustainable incentive scheme for federated learning. IEEE Intelligent Systems 35(4), 58-69, IEEE (2020).
  20. Feng, S., Yu, H. & Duarte, M. F. Autoencoder based sample selection for self-taught learning. Knowledge-Based Systems 192, doi:10.1016/j.knosys.2019.105343, Elsevier (2020).
  21. Wang, J., Chen, Y., Feng, W., Yu, H., Huang, M. & Yang, Q. Transfer learning with dynamic distribution adaptation. ACM Transactions on Intelligent Systems and Technology 11(1), 6:1-6:25, ACM (2020).
  22. Zheng, Y., Yu, H., Cui, L., Miao, C., Leung, C., Liu, Y. & Yang, Q. Addressing the challenges of government service provision with AI. AI Magazine 41(1), 33-43, AAAI Press (2020).
  23. Guo, X., Yu, H., Chen, Y. & Miao, C. Weakly supervised neural representation learning through exploiting expert knowledge. International Journal of Information Technology 25(1), 1-9, Singapore Computer Society (2019).
  24. Chen, Y., Wang, J., Huang, M. & Yu, H. Cross-position activity recognition with stratified transfer learning. Pervasive and Mobile Computing 57, 1-13, Elsevier (2019).
  25. Wang, T., Yang, H., Yu, H., Zhou, W., Liu, Y. & Song, H. A revenue-maximizing bidding strategy for demand-side platforms. IEEE Access 7(1), 68692-68706, IEEE (2019).
  26. Yu, H. Ethics and AI: Teaching our machines to tell right from wrong. The IT Society 1, 2-3, Singapore Computer Society (2019).
  27. Hu, C., Chen, Y., Peng, X., Yu, H., Gao, C. & Hu, L. A novel incremental feature learning method for sensor-based activity recognition. IEEE Transactions on Knowledge and Data Engineering 31(6), 1038-1050, IEEE (2019).
  28. Wang, W., Zheng, V. W., Yu, H. & Miao, C. A survey of zero-shot learning: Settings, methods and applications. ACM Transactions on Intelligent Systems and Technology 10(2), 13:1-13:19, ACM (2019).
  29. Jiang, S., Xu, Y., Wang, T., Yang, H., Qiu, S., Yu, H. & Song, H. Multi-label metric transfer learning jointly considering instance space and label space distribution divergence. IEEE Access 7(1), 10362-10373, IEEE (2019).
  30. Deng, Z., Zhang, J. & Yu, H. A survey of ethics in resource allocation and crowdsourcing. International Journal of Information Technology 24(2), 1-17, Singapore Computer Society (2018).
  31. Guo, X., Yu, H. & Chen, Y. Building a smart assistant for improving chronic pain management in primary care. International Journal of Information Technology 24(2), 1-16, Singapore Computer Society (2018).
  32. Miao, C., Zeng, Z., Wu, Q., Yu, H. & Leung, C. Humanized artificial intelligence: What, why and how. International Journal of Information Technology 24(2), 1-21, Singapore Computer Society (2018).
  33. Chen, Y., Hu, C., Hu, B., Hu, L., Yu, H. & Miao, C. Inferring cognitive abilities from motor patterns. IEEE Transactions on Knowledge and Data Engineering 30(12), 2340-2353, IEEE (2018).
  34. Lin, J., Yu, H., Pan Z., Shen, Z. & Cui, L. Towards data-driven software engineering skills assessment. International Journal of Crowd Science 2(2), 123-135, Emerald (2018).
  35. Shen, Z., Yu, H., Yu, L., Miao, C., Chen, Y. & Lesser, V. R. Dynamic generation of Internet of Things organizational structures through evolutionary computing. IEEE Internet of Things Journal 5(2), 943-954, IEEE (2018).
  36. Yu, H., Miao, C., Leung, C. & White, T. J. Towards AI-powered personalization in MOOC learning. npj Science of Learning 2(15), doi:10.1038/s41539-017-0016-3, Nature Publishing Group (2017).
  37. Yu, H., Miao, C., Chen, Y., Fauvel, S., Li, X. & Lesser, V. R. Algorithmic management for improving the collective productivity in crowdsourcing. Scientific Reports 7(12541), doi:10.1038/s41598-017-12757-x, Nature Publishing Group (2017).
  38. Cui, L., Zhao, X., Liu, L., Yu, H. & Miao, Y. Complex crowdsourcing task allocation strategies employing supervised and reinforcement learning. International Journal of Crowd Science 1(2), 146-160, Emerald (2017).
  39. Yu, H., Shen, Z., Miao, C., Leung, C., Chen, Y., Fauvel, S., Lin, J., Cui, L., Pan, Z. & Yang, Q. A dataset of human decision-making in teamwork management. Scientific Data 4(160127), doi:10.1038/sdata.2016.127, Nature Publishing Group (2017).
  40. Mei, J.-P., Yu, H., Shen, Z. & Miao, C. A social influence based trust model for recommender systems. Intelligent Data Analysis 22(2), IOS Press (2017).
  41. Yu, H., Miao, C., Leung, C., Chen, Y., Fauvel, S., Lesser, V. R. & Yang, Q. Mitigating herding in hierarchical crowdsourcing networks. Scientific Reports 6(4), doi:10.1038/s41598-016-0011-6, Nature Publishing Group (2016).
  42. Zhang, W., Shi, Y., Liu, L., Zhang, S., Zheng, Y., Cui, L. & Yu, H. CTP: A scheduling strategy to smooth response time fluctuations in multi-tier website system. Microprocessors and Microsystems 47(A), 198-208, Elsevier (2016).
  43. Shi, Y., Zhang, K., Cui, L., Liu, L., Zheng, Y., Zhang, S. & Yu, H. MapReduce short jobs optimization based on resource reuse. Microprocessors and Microsystems 47(A), 178-187, Elsevier (2016).
  44. Miao, C. Yu, H., Shen, Z. & Leung, C. Balancing quality and budget considerations in mobile crowdsourcing. Decision Support Systems 90, 56-64, Elsevier (2016).
  45. Lin, J., Yu, H. & Shen, Z. Using Goal Net to model user stories in agile software development. International Journal of Information Technology 21(2), 1-17, Singapore Computer Society (2015).
  46. Yu, H., Shen, Z., Miao, C., An, B. & Leung, C. Filtering trust opinions through reinforcement learning. Decision Support Systems 66, 102-113, Elsevier (2014).
  47. Yu, H., Shen, Z., Leung, C., Miao, C. & Lesser, V. R. A survey of multi-agent trust management systems. IEEE Access 1(1), 35-50, IEEE (2013).
  48. Yu, H., Shen, Z. & Miao, C. Towards health care service ecosystem management for the elderly. International Journal of Information Technology 19(2), 1-16, Singapore Computer Society (2013).
  49. Ji, J., Yu, H., Li, B., Shen, Z. & Miao, C. Learning Chinese characters with gestures. International Journal of Information Technology 19(1), 1-11, Singapore Computer Society (2013).
  50. Cheng, P., Yu, H., Shen, Z. & Liu, Z. An interactive 3D product design tool for mobile pre-commerce environments. International Journal of Information Technology 18(2), 1-9, Singapore Computer Society (2012).
  51. Leung, C., Miao, C., Yu, H. & Helander, M. Towards an ageless computing ecosystem. International Journal of Information Technology 18(1), 1-20, Singapore Computer Society (2012).
  52. Shen, Z., Yu, H., Miao, C. & Weng, J. Trust-based web-service selection in virtual communities. Web Intelligence and Agent Systems 9(3), 227-238, IOS Press (2011).
  53. Pan, L, Meng, M., Shen, Z. & Yu, H. A reputation-based trust aware web service interaction pattern for manufacturing grids. International Journal of Information Technology 17(1), 1-8, Singapore Computer Society (2011).
  54. Yu, H., Shen, Z., Miao, C., Leung, C. & Niyato, D. A survey of trust and reputation management systems in wireless communications. Proceedings of the IEEE 98(10), 1755-1772, IEEE (2010).
  55. Yu, H., Shen, Z. & Leung, C. Towards trust-aware health monitoring body area sensor networks. International Journal of Information Technology 16(2), 1-20, Singapore Computer Society (2010). (Best Student Paper Award)
  56. Qin, T., Yu, H., Leung, C., Shen, Z. & Miao, C. Towards a trust aware cognitive radio architecture. ACM SIGMOBILE Mobile Computing and Communications Review 13(2), 86-95, ACM (2009).
  57. Yu, H., Shen, Z. & Miao, C. A goal oriented development tool to automate the incorporation of intelligent agents into interactive digital media applications. ACM Computers in Entertainment 6(2), 24:1-24:15, ACM (2008).
International Conference Publications
  1. Z. Liu, Y. Chen, Y. Zhao, H. Yu, Y. Liu, R. Bao, J. Jiang, Z. Nie, Q. Xu & Q. Yang, "Contribution-Aware Federated Learning for Smart Healthcare," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), 2022. (Innovative Applications of AI Award)
  2. X. Guo, S. Wang, H. Zhao, S. Diao, J. Chen, Z. Ding, Z. He, Y. Xiao, B. Long, H. Yu & L. Wu, "Intelligent Online Selling Point Extraction for E-Commerce Recommendation," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), 2022. (Innovative Applications of AI Award)
  3. X. Zhang, Y. Zou, H. Zhang, J. Zhou, S. Diao, J. Chen, Z. Ding, Z. He, X. He, Y. Xiao, B. Long, H. Yu & L. Wu, "Automatic Product Copywriting for E-Commerce," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), 2022. (Innovative Applications of AI Award)
  4. H.-Y. Li, Y. Ni, A. Zeng, H. Yu & C. Miao, "Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce," in Proceedings of the 34th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22), 2022. (Innovative Applications of AI Award)
  5. D. Feng, C. Helena, W. Y. B. Lim, J. S. Ng, H. Jiang, Z. Xiong, J. Kang, H. Yu, D. Niyato & C. Miao, "CrowdFL: A Marketplace for Crowdsourced Federated Learning," in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022.
  6. X. R. Z. Ho, W. Y. B. Lim, H. Jiang, J. S. Ng, H. Yu, Z. Xiong, D. Niyato & C. Miao, "Dynamic Incentive Mechanism Design for COVID-19 Social Distancing," in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022.
  7. H. Yang, T. Wang, X. Tang, Q. Li, Y. Shi, S. Jiang, H. Yu & H. Song, "Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising," in Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM'21), pp. 2291-2300, 2021.
  8. H. Z. C. Teng, H. Jiang, X. R. Z. Ho, W. Y. B. Lim, J. S. Ng, H. Yu, Z. Xiong, D. Niyato & C. Miao, "Predictive Analytics for COVID-19 Social Distancing," in Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), pp. 5016-5019, 2021.
  9. P. S. Kyaw & H. Yu, "Personalised Federated Learning: A Combinational Approach," in Proceedings of the 1st International Student Conference on Artificial Intelligence (STCAI'21), 2021. (Best Paper Award)
  10. Y. Shu, J. Zhang & H. Yu, "Fairness in Design: A Tool for Guidance in Artificial Intelligence Design," in Proceedings of the 13th International Conference on Social Computing and Social Media (SCSM'21), pp. 500-510, 2021.
  11. J. Zhang, Y. Shu & H. Yu, "Human-Machine Interaction for Autonomous Vehicles: A Review," in Proceedings of the 13th International Conference on Social Computing and Social Media (SCSM'21), pp. 190-201, 2021.
  12. X. Cao, Y. Shi, H. Yu, J. Wang, X. Wang, Z. Yan & Z. Chen, "DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation," in Proceedings of the 44th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21), pp. 203-212, 2021.
  13. C. Liu, H. Yu, Z. Shen, I. Dixon, Y. Yu, Z. Gao, P. Wang, P. Ren, X. Xie, L. Cui & C. Miao, "Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos," in Proceedings of the 2021 IEEE International Conference on Multimedia and Expo (ICME'21), doi:10.1109/ICME51207.2021.9428292, 2021.
  14. C. Liu, H. Yu, B. Li, Z. Shen, Z. Gao, P. Ren, X. Xie, L. Cui & C. Miao, "Noise-resistant Deep Metric Learning with Ranking-based Instance Selection," in Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'21), pp. 6811-6820, 2021. (PREMIA Best Student Paper Runners Up Award)
  15. X. Guo, B. Li, H. Yu & C. Miao, "Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection," in Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT'21), pp. 5394-5407, 2021. (PREMIA Best Presentation Award)
  16. Y. Chen, B. Li, H. Yu, P. Wu & C. Miao, "HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks," in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21), pp. 7081-7089, 2021.
  17. H. Jiang, W. Y. B. Lim, J. S. Ng, H. Z. C. Teng, H. Yu, Z. Xiong, D. Niyato & C. Miao, "AI-Empowered Decision Support for COVID-19 Social Distancing," in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21), pp. 16044-16047, 2021.
  18. A. Zeng, H. Yu, H. He, Y. Ni, Y. Li, J. Zhou & C. Miao, "Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank," in Proceedings of the 33rd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21), pp. 15214-15222, 2021. (Innovative Applications of AI Award)
  19. Q. Meng, L. Cui, G. Yu, H. Yu, W. Guo & H. Li, "CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment," in Proceedings of the 2020 International Conference on Bioinformatics and Biomedicine (BIBM'20), pp. 469-472, 2020.
  20. K. L. Ng, Z. Chen, Z. Liu, H. Yu, Y. Liu & Q. Yang, "A Multi-player Game for Studying Federated Learning Incentive Schemes," in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), pp. 5179-5281, 2020.
  21. H. J. Y. Wong, Z. Deng, H. Yu, J. Huang, C. Leung & C. Miao, "A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems," in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), pp. 5294-5296, 2020.
  22. C. Liu, Z. Y. Lim, H. Yu, Z. Shen, I. Dixon, Z. Gao, P. Wang, P. Ren, X. Xie, L. Cui & C. Miao, "An AI-empowered Visual Storyline Generator," in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), pp. 5267-5269, 2020.
  23. C. Liu, H. Yu, Y. Dong, Z. Shen, Y. Yu, I. Dixon, Z. Gao, P. Wang, P. Ren, X. Xie, L. Cui & C. Miao, "Generating Engaging Promotional Videos for E-commerce Platforms," in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20), pp. 13865-13866, 2020.
  24. Z. Deng, A. Tu, Z. Liu & H. Yu, "Efficient Spatial-Temporal Rebalancing of Shareable Bikes," in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20), pp. 13775-13776, 2020.
  25. A. Zeng, H. Yu, Q. Da, Y. Zhan & C. Miao, "Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection," in Proceedings of the 32nd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-20), pp. 13212-13219, 2020. (Innovative Applications of AI Award)
  26. Y. Zheng, H. Yu, Y. Shi, K. Zhang, S. Zhen, L. Cui, C. Leung & C. Miao, "PIDS: An Intelligent Electric Power Management Platform," in Proceedings of the 32nd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-20), pp. 13220-13227, 2020. (Innovative Applications of AI Award)
  27. Y. Liu, A. Huang, Y. Luo, H. Huang, Y. Liu, Y. Chen, L. Feng, T. Chen, H. Yu & Q. Yang, "FedVision: An Online Visual Object Detection Platform powered by Federated Learning," in Proceedings of the 32nd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-20), pp. 13172-13179, 2020. (Innovative Applications of AI Award)
  28. H. Yu, Z. Liu, Y. Liu, T. Chen, M. Cong, X. Weng, D. Niyato & Q. Yang, "A Fairness-aware Incentive Mechanism for Federated Learning," in Proceedings of the 3rd AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-20), pp. 393-399, 2020.
  29. D. Gao, Y. Liu, A. Huang, C. Jiu, H. Yu & Q. Yang, "Privacy-preserving Heterogeneous Federated Transfer Learning," in Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData'19), pp. 2552-2559, 2019.
  30. Y. Dong, C. Liu, Z. Shen, Z. Gao, P. Wang, C. Zhang, P. Ren, X. Xie, H. Yu & Q. Huang, "Domain Specific and Idiom Adaptive Video Summarization," in Proceedings of the 1st ACM International Conference on Multimedia in Asia (MM Asia'19), pp. 49:1-49:6, 2019.
  31. C. Liu, Y. Dong, H. Yu, Z. Shen, Z. Gao, P. Wang, C. Zhang, P. Ren, X. Xie, L. Cui & C. Miao, "Generating Persuasive Visual Storylines for Promotional Videos," in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM'19), pp. 901-910, 2019.
  32. T. Wang, J. Zhao, H. Yu, J. Liu, X. Yang, X. Ren & S. Shi, "Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas," in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM'19), pp. 1311-1320, 2019.
  33. Y. Dong, C. Liu, Z. Shen, Z. Gao, P. Wang, C. Zhang, P. Ren, X. Xie & H. Yu, "Personalized Video Summarization with Idiom Adaptation," in Proceedings of the 27th ACM Multimedia Conference (ACM MM'19), pp. 1041-1043, 2019.
  34. J. W. Kong, Y. Xu & H. Yu, "Deep Transfer Learning for Abnormality Detection," in Proceedings of the 4th International Conference on Crowd Science and Engineering (ICCSE'19), 2019.
  35. H. Yu, Y. Liu, X. Wei, C. Zheng, T. Chen, Q. Yang & X. Peng, "Fair and Explainable Dynamic Engagement of Crowd Workers," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), pp. 6575-6577, 2019. (Innovation Award)
  36. X. Wei, Q. Li, Y. Liu, H. Yu, T. Chen & Q. Yang, "Multi-Agent Visualization for Explaining Federated Learning," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), pp. 6572-6574, 2019.
  37. A. Zeng, H. Yu, X. Gao, K. Ou, Z. Huang, P. Hou, M. Song, C. Miao & J. Zhang, "An Online Intelligent Live Interaction System," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), pp. 6578-6580, 2019.
  38. Y. Zheng, H. Yu, K. Zhang, Y. Shi, C. Leung & C. Miao, "Intelligent Decision Support for Improving Power Management," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), pp. 6587-6589, 2019.
  39. X. Guo, H. Yu, C. Miao & Y. Chen, "Agent-based Decision Support for Pain Management in Primary Care Settings," in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), pp. 6521-6523, 2019.
  40. Q. Li, H. Lin, X. Wei, Y. Liu, R. Lin, H. Yu, T. Chen & Q. Yang, "Learning Federated Learning," the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), 2019. (Most Educational Video Award)
  41. J. Wang, Y. Chen, H. Yu, M. Huang & Q. Yang, "Easy Transfer Learning by Exploiting Intra-domain Structures," in Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME'19), doi:10.1109/ICME.2019.00211, 2019.
  42. Z. Liu, H. Yu, L. Wang, L. Hu & Q. Yang, "Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes," in Proceedings of the 18th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'19), pp. 2099-2101, 2019.
  43. H. Yu, Z. Shen, L. Cui, Y. Zheng & V. R. Lesser, "Ethically Aligned Sacrifice Coordination to Enhance Social Welfare in Multi-agent Systems," in Proceedings of the 18th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'19), pp. 2300-2302, 2019.
  44. Z. Liu, H. Yu, L. Wang, L. Hu & Q. Yang, "Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes," in Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), pp. 9983-9984, 2019.
  45. H. Yu, C. Miao, Y. Zheng, L. Cui, S. Fauvel & C. Leung, "Ethically Aligned Opportunistic Scheduling for Productive Laziness," in Proceedings of the 2nd AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-19), pp. 45-51, 2019.
  46. J. Wang, W. Feng, Y. Chen, H. Yu, M. Huang & P. S. Yu, "Visual Domain Adaptation with Manifold Embedded Distribution Alignment," in Proceedings of the 26th ACM Multimedia Conference (ACM MM'18), pp. 402-410, 2018.
  47. S. Fauvel, H. Yu, C. Miao, L. Cui, H. Song, L. Zhang, X. Li & C. Leung, "Artificial Intelligence Powered MOOCs: A Brief Survey," in Proceedings of the 3rd IEEE International Conference on Agents (ICA'18), pp. 56-61, 2018.
  48. C. Miao, Z. Zeng, X. Yu, H. Zhang, H. Yu, Q. Wu, A. H. Tan, D. Wang, B. T. H. Tan, D. W. Q. Ng, C. Leung, Q. Yang & Z. Shen, "Persuasive AI Companions for Active Independent Ageing," the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), 2018. (Most Societally Beneficial Video Award)
  49. H. Yu, Z. Shen, C. Miao, C. Leung, V. R. Lesser & Q. Yang, "Building Ethics into Artificial Intelligence," in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pp. 5527-5533, 2018.
  50. H. Yu, C. Miao, L. Cui, Y. Chen, S. Fauvel & Q. Yang, "Opportunistic Work-Rest Scheduling for Productive Aging," in Proceedings of the 10th International Conference on Social Computing and Social Media (SCSM'18), pp. 413-428, 2018.
  51. Y. Dong, H. Hu, Y. Wen, H. Yu & C. Miao, "Personalized Emotion-aware Video Streaming for the Elderly," in Proceedings of the 20th International Conference on Human-Computer Interaction (HCI'18), pp. 372-382, 2018.
  52. Y. Zheng, H. Yu, L. Cui, C. Miao, C. Leung & Q. Yang, "SmartHS: An AI Platform for Improving Government Service Provision," in Proceedings of the 30th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-18), pp. 7704-7711, 2018. (Innovative Applications of AI Award)
  53. H. Zhang, C. Miao & H. Yu, "Fuzzy Logic based Assessment on the Adaptive Level of Rehabilitation Exergames for the Elderly," in Proceedings of the 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP'17), pp. 423-427, 2017.
  54. H. Yu, Z. Shen, S. Fauvel, L. Cui & C. Miao, "Efficient Scheduling in Crowdsourcing based on Workers' Mood," in Proceedings of the 2nd IEEE International Conference on Agents (ICA'17), pp. 121-126, 2017.
  55. Y. Dong, H. Hu, H. Yu & L. Zhang, "Towards Emotion Adaption in Multimedia Caring Services for the Elderly," in Proceedings of the 5th International Conference on Ageless Aging (ICAA'17), 2017.
  56. W. Wang, H. Yu & C. Miao, "Deep Model for Dropout Prediction in MOOCs," in Proceedings of the 2nd International Conference on Crowd Science and Engineering (ICCSE'17), pp. 26-32, 2017.
  57. L. Cui, X. Zhao, L. Liu, H. Yu & C. Miao, "Learning Complex Crowdsourcing Task Allocation Strategies from Humans," in Proceedings of the 2nd International Conference on Crowd Science and Engineering (ICCSE'17), pp. 33-37, 2017.
  58. X. Min, Y. Shi, L. Cui, H. Yu & Y. Miao, "Efficient Crowd-Powered Active Learning for Reliable Review Evaluation," in Proceedings of the 2nd International Conference on Crowd Science and Engineering (ICCSE'17), pp. 136-143, 2017. (Best Poster Award)
  59. H. Zhang, C. Miao, H. Yu & C. Leung, "A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly," in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17), pp. 5021-5022, 2017.
  60. Z. Pan, H. Yu, C. Miao & C. Leung, "Crowdsensing Air Quality with Image Analytics and Deep Learning," in Proceedings of the 29th AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-17), pp. 4728-4733, 2017.
  61. H. Yu, Z. Pan, C. Miao & C. Leung, "Crowd Computing for Population Aging Challenges," in Proceedings of the 1st International Conference on Crowd Science and Engineering (ICCSE'16), 2016.
  62. J. Lin, H. Yu, Z. Pan, Z. Shen & L. Cui, "Towards Data-driven Software Engineering Skills Assessment," in Proceedings of the 1st International Conference on Crowd Science and Engineering (ICCSE'16), 2016. (Best Paper Award)
  63. H. Lin, H. Yu, C. Miao & L. Qiu, "Towards Emotionally Intelligent Machines: Taking Social Context into Account," in Proceedings of 8th International Conference on Social Computing and Social Media (SCSM'16), pp. 12-24, 2016. (Best Paper Award)
  64. H. Yu, "Algorithmic Crowdsourcing for Productive Aging," in Proceedings of the 9th World Congress on Active Ageing (WCAA'16), pp. 11-12, 2016.
  65. C. Miao, C. Leung, Y. Chen & H. Yu, "Interactive Games for Active Ageing," in Proceedings of the 9th World Congress on Active Ageing (WCAA'16), pp. 11, 2016.
  66. S. Liu, Z. Shen, H. Yu, H. Lin, Z. Guo, Z. Pan, C. Miao & C. Leung, "A Kinect-based Interactive Game for Improving the Cognitive Inhibition of the Elderly," in Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'16), pp. 1479-1481, 2016.
  67. C. Sun, Y. Shi, Q. Li, L. Cui, H. Yu & C. Miao, "A Hybrid Approach for Detecting Fraudulent Medical Insurance Claims," in Proceedings of the 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'16), pp. 1287-1288, 2016.
  68. H. Yu, C. Miao, Z. Shen, J. Lin & C. Leung, "Infusing Human Factors into Algorithmic Crowdsourcing," in Proceedings of the 28th AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-16), pp. 4062-4063, 2016.
  69. Z. Pan, H. Yu, C. Miao & C. Leung, "Efficient Collaborative Crowdsourcing," in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 4248-4249, 2016. (Best Student Poster Award)
  70. H. Yu, S. Liu, Z. Pan, N. S. B. Khalid, Z. Shen, C. Miao & C. Leung, "Productive Aging through Intelligent Personalized Crowdsourcing," in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 4405-4406, 2016.
  71. Z. Shen, H. Yu, S. Li & C. Miao, "Multi-Agent System Development MADE Easy," in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 4391-4392, 2016.
  72. Y. Shi, C. Sun, Q. Li, L. Cui, H. Yu & C. Miao, "A Fraud Resilient Medical Insurance Claim System," in Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp. 4393-4394, 2016.
  73. Z. Pan, H. Yu, C. Miao, C. Leung, Q. Yang, Z. Shen, Y. Chen, L. Cui, B. Huang, Y. Zhang, D. W. Q. Ng & K. K. Ong, "Artificial Intelligence for Liveable Cities," the 30th AAAI Conference on Artificial Intelligence (AAAI-16), 2016. (Best Video - People's Choice Award)
  74. S. Liu, C. Miao, Y. Liu, H. Yu, J. Zhang & C. Leung, "An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 96-103, 2015.
  75. Z. Pan, C. Miao, B. T. H. Tan, H. Yu & C. Leung, "Agent Augmented Inter-generational Crowdsourcing," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 237-238, 2015. (Best Demo Award)
  76. Z. Pan, C. Miao, H. Yu, C. Leung & J. J. Chin, "The Effects of Familiarity in Design on the Adoption of Wellness Games by the Elderly," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 387-390, 2015.
  77. B. Li, H. Yu, Z. Shen, L. Cui & V. R. Lesser, "An Evolutionary Optimization based Multi-Agent Organization Framework," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 35-38, 2015.
  78. H. Lin, J. Hou, H. Yu, Z. Shen & C. Miao, "An Agent-based Game Platform for Exercising People's Prospective Memory," in Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'15), pp. 235-236, 2015.
  79. A. Borjigin, C. Miao, Z. Shen, H. Yu, S. F. Lim, T. H. Tan, Z. Zeng, Y. Guo, S. Fauvel, Y. Qiu, K. H. Pang & J. Ji, "Goal Oriented Teachable Agent in Virtual Learning Environment," the 24th International Joint Conference in Artificial Intelligence (IJCAI'15), 2015. (Best Application Video Award)
  80. S. Liu, C. Miao, Y. Liu, H. Fang, H. Yu, J. Zhang & C. Leung, "A Reputation Revision Mechanism for Mitigating the Negative Effect of Misreported Reputation Ratings," in Proceedings of the 17th International Conference on Electronic Commerce (ICEC'15), pp. 7:1-7:8, 2015.
  81. C. Leung, Z. Shen, H. Zhang, Q. Wu, J. C. Leung, K. H. Pang, H. Yu & C. Miao, "Aging in-Place: From Unobtrusive Sensing to Graceful Aging," in Proceedings of the 24th Annual John K. Friesen Conference "Harnessing Technology for Aging-in-Place", 2015.
  82. J. Lin, H. Yu, C. Miao & Z. Shen, "An Affective Agent for Studying Composite Emotions," in Proceedings of the 14th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'15), pp. 1947-1948, 2015.
  83. H. Yu, C. Miao, Z. Shen & C. Leung, "Quality and Budget aware Task Allocation for Spatial Crowdsourcing," in Proceedings of the 14th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'15), pp. 1689-1690, 2015.
  84. H. Yu, H. Lin, S. F. Lim, J. Lin, Z. Shen & C. Miao, "Empirical Analysis of Reputation-aware Task Delegation by Humans from a Multi-Agent Game," in Proceedings of the 14th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'15), pp. 1687-1688, 2015.
  85. H. Yu, C. Miao, Z. Shen, C. Leung, Y. Chen & Q. Yang, "Efficient Task Sub-delegation for Crowdsourcing," in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI-15), pp. 1305-1311, 2015.
  86. J.-P. Mei, H. Yu, Y. Liu, Z. Shen & C. Miao, "A Social Trust Model Considering Trustees' Influence," in Proceedings of the 17th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA'14), pp. 357-364, 2014.
  87. J. Lin, H. Yu, Z. Shen & C. Miao, "Studying Task Allocation Decisions of Novice Agile Teams with Data from Agile Project Management Tools," in Proceedings of the 29th IEEE/ACM International Conference on Automated Software Engineering (ASE'14), pp. 689-694, 2014.
  88. Y. Liu, S. Liu, H. Fang, J. Zhang, H. Yu & C. Miao, "RepRev: Mitigating the Negative Effects of Misreported Ratings," in Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14), pp. 3124-3125, 2014.
  89. Y. Liu, J. Zhang, H. Yu & C. Miao, "Reputation-aware Continuous Double Auction," in Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14), pp. 3126-3127, 2014.
  90. J. Lin, H. Yu, Z. Shen & C. Miao, "Using Goal Net to Model User Stories in Agile Software Development," in Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD'14), pp. 1-6, 2014.
  91. Y. Cai, Z. Shen, S. Liu, H. Yu, J. Ji, M. McKeown, C. Leung & C. Miao, "An Agent-based Game for the Predictive Diagnosis of Parkinson's Disease," in Proceedings of the 13th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'14), pp. 1663-1664, 2014.
  92. H. Yu, X. Yu, S.F. Lim, J. Lin, Z. Shen & C. Miao, "A Multi-Agent Game for Studying Human Decision-making," in Proceedings of the 13th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'14), pp. 1661-1662, 2014.
  93. H. Yu, C. Miao, B. An, Z. Shen & C. Leung, "Reputation-aware Task Allocation for Human Trustees," in Proceedings of the 13th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'14), pp. 357-364, 2014.
  94. H. Yu, Z. Shen & C. Leung, "Bringing Reputation-awareness into Crowdsourcing," in Proceedings of the 9th International Conference on Information, Communications and Signal Processing (ICICS'13), pp. 1-5, 2013.
  95. H. Yu, Z. Shen & C. Leung, "From Internet of Things to Internet of Agents," in Proceedings of the 2013 IEEE International Conference on Internet of Things (iThings'13), pp.1054-1057, 2013.
  96. H. Yu, C. Miao, B. An, C. Leung & V. R. Lesser, "A Reputation Management Approach for Resource Constrained Trustee Agents," in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13), pp. 418-424, 2013.
  97. S. Liu, H. Yu, C. Miao & A. C. Kot, "A Fuzzy Logic based Reputation Model against Unfair Ratings," in Proceedings of the 12th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'13), pp. 821-828, 2013.
  98. H. Yu, Z. Shen, C. Miao & B. An, "A Reputation-aware Decision-making Approach for Improving the Efficiency of Crowdsourcing Systems," in Proceedings of the 12th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'13), pp. 1315-1316, 2013.
  99. Q. Wu, X. Han, H. Yu, Z. Shen & C. Miao, "The Innovative Applications of Learning Companions in Chronicles of Singapura," in Proceedings of the 12th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'13), pp. 1171-1172, 2013.
  100. H. Yu, Z. Shen, C. Miao & B. An, "Challenges and Opportunities for Trust Management in Crowdsourcing," in Proceeding of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'12), pp. 486-493, 2012.
  101. H. Yu, Z. Shen & B. An, "An Adaptive Witness Selection Method for Reputation-based Trust Models," in Proceedings of the 15th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA'12), pp. 184-198, 2012.
  102. H. Yu, C. Leung & C. Miao, "A Simple, General and Robust Trust Agent to Help the Elderly Select online Services," in Proceedings of the 2nd Southeast Asian Network of Ergonomics Societies Conference (SEANES'12), pp. 1-5, 2012.
  103. H. Song, Z. Shen, H. Yu & Y. Chen, "Probabilistic-based Scheduling for Runtime Goal Sequence of Agents," in Proceedings of the2012 International Conference on Computer Science and Automation Engineering (CSAE'12), pp. 490-494, 2012.
  104. H. Yu, S. Liu, A.C. Kot, C. Miao & C. Leung, "Dynamic Witness Selection for Trustworthy Distributed Cooperative Sensing in Cognitive Radio Networks," in Proceedings of the 13th IEEE International Conference on Communication Technology (ICCT'11), pp. 1-6, 2011. (Best Paper Award)
  105. H. Yu, Z. Shen, C. Miao & A.-H. Tan, "A Simple Curious Agent to Help People be Curious," in Proceedings of the 10th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'11), pp. 1159-1160, 2011.
  106. J. Lin, C. Miao & H. Yu, "A Cloud & Agent Based Architecture Design for an Educational Mobile SNS Game," in Proceedings of the 6th International Conference on E-learning and Games (Edutainment'11), pp. 212-219, 2011.
  107. Z. Shen, C. Miao, L. Zhang, H. Yu & M. J. Chavez, "An Emotion Aware Agent Platform for Interactive Storytelling and Gaming," in Proceedings of the International Academic Conference on the Future of Game Design and Technology (Futureplay'10), pp. 257-258, 2010.
  108. H. Yu, Y. Cai, Z. Shen, X. Tao & C. Miao, "Agents as Intelligent User Interfaces for the Net Generation," in Proceedings of the 15th International Conference on Intelligent User Interfaces (IUI'10), pp. 429-430, 2010.
  109. H. Yu, Z. Shen & C. Miao, "A Trustworthy Beacon-based Location Tracking Model for Body Area Sensor Networks in m-Health," in Proceedings of the 7th International Conference on Information, Communications and Signal Processing (ICICS'09), doi:10.1109/ICICS.2009.5397622, 2009.
  110. L. Pan, X. Meng, Z. Shen & H. Yu, "A Reputation Pattern for Service Oriented Computing," in Proceedings of the 7th International Conference on Information, Communications and Signal Processing (ICICS'09), doi:10.1109/ICICS.2009.5397618, 2009.
  111. H. Yu, C. Miao, X. Tao, Z. Shen, Y. Cai, B. Li & Y. Miao, "Teachable Agents in Virtual Learning Environments: a Case Study," in Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education (E-LEARN'09), pp. 1088-1096, 2009.
  112. B. Li, H. Yu, Z. Shen & C. Miao, "Evolutionary Organizational Search," in Proceedings of the 8th Joint International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'09), pp. 1329-1330, 2009.
  113. H. Yu, Z. Shen, C.P. Low & C. Miao, "Transforming Learning through Agent Augmented Virtual World," in Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies (ICALT'08), pp. 933-937, 2008.
  114. H. Yu, Z. Shen & C. Miao, "Intelligent Software Agent Design Tool Using Goal Net Methodology," in Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'07), pp. 43-46, 2007.
  115. H. Yu, Z. Shen & C. Miao, "A Service Based Multi-Agent System Design Tool for Modeling Integrated Manufacturing and Service Systems," in Proceedings of the 12th IEEE Conference on Emerging Technologies and Factory Automation (ETFA'07), pp. 149-154, 2007.
  116. Y. L. Theng, K. L. Tan, E. P. Lim, J. Zhang, D. H. L. Goh, K. Chatterjea, H. C. Chew, A. X. Sun, H. Yu, N. Dang, Y. Li & M. C. Vo, "Mobile G-Portal Supporting Collaborative Sharing and Learning in Geography Fieldwork: An Empirical Study," in Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'07), pp. 462-471, 2007.
  117. H. Yu, L. Ding, X. Lu & B. Xie, "A Virtual Agent Based Mobile 3D Game with Mascot Capsule Micro3D API," in Proceedings of the 3rd IEE International Conference on Mobile Technology, Application and Systems (Mobility'06), pp. 36:1-36:6, 2006.
  118. H. Yu, "Developing Mobile 3D Game Using MIDP 2.0 Game API and JSR-184 M3G API," in Proceedings of the SIGRAD 2005 Conference, pp. 69-73, 2005.