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
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 140 research papers in book chapters, leading international conferences and journals including AAAI, IJCAI, ASE, ACM MM, AAMAS, CIKM, ACM/IEEE Transactions, Proceedings of the IEEE, as well as Nature Research journals - npj Science of Learning, Scientific Data and Scientific Reports. He co-authored the book "Federated Learning" - the first monograph on the topic of federated learning. His research work has been recognized with 16 awards from conferences and journals.

Education

Research Interest

Vacancies

  1. PhD Scholarships @ the Alibaba-NTU Joint Research Institute - the Alibaba Talent Programme PhD Scholarship: Open to Singapore Citizens and Permanent Residents. A monthly stipend of S$5,000 for 4 years. Full tuition fee support. CPF contributions. Good conference travel support.
  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. Research areas focusing on Federated Learning.
  3. Research Fellowship (for PhD holders) / Research Associate (for Master's degree holders) / Research Engineer (for Bachelor's degree holders) positions available with attractive remuneration.

Research Projects

  1. Trust-based Open Collaborative Federated Learning (Watch Video).
  2. Fighting COVID-19 with AI: An Overview (Watch Video).
  3. Population-level Parkinson's disease screening through Chinese handwriting analytics on mobile devices (Watch Video)
  4. COVID-19 in Ride-sharing Systems - A multi-agent simulator of infectious disease propagation in ride-sharing systems (Watch Video)
  5. FedCoin - A blockchain based P2P payment system for federated learning incentive schemes (Watch Video)
  6. FedGame - A multi-player game for studying how FL participants act under different incentive schemes (Watch Video)
  7. FedVision - A federated learning visual object detection system for operational safety (Watch Video)
  8. Crowdsourcing Task Matching with Algorithmic Fairness, Interpretability and Federated Learning (Watch Video)
  9. AI-empowered Visual Storyline Generator (Watch Video)
  10. Federated Learning for Healthcare (Watch Video)
  11. Efficient Smart Grid with Algorithmic Fairness and Interpretability (Watch Video)
  12. Agile Manager the game - Studying human decision-making in teamwork management (Watch Video)

Research Grants

  1. 2019 - 2020: Principal Investigator, "Incentive Mechanism Design for Federated Machine Learning", Joint NTU-WeBank Research Centre on FinTech Grant, S$100,000.
  2. 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.
  3. 2018 - 2022: Principal Investigator, "AI-Powered Crowd-computing (AIPC)", Nanyang Assistant Professorship (NAP) Grant, Nanyang Technological University, S$1,000,000.
  4. 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.

Research Awards

  1. 2020: Innovative Applications of AI Award, AAAI - "FedVision: An Online Visual Object Detection Platform powered by Federated Learning".
  2. 2020: Innovative Applications of AI Award, AAAI - "Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection".
  3. 2020: Innovative Applications of AI Award, AAAI - "PIDS: An Intelligent Electric Power Management Platform".
  4. 2019: Innovation Award, IJCAI'19 - "Fair and Explainable Dynamic Engagement of Crowd Workers".
  5. 2019: Most Educational Video Award, IJCAI'19 - "Learning Federated Learning".
  6. 2018: Most Societally Beneficial Video Award, IJCAI'18 - "Persuasive AI Companions for Active Independent Ageing".
  7. 2018: Innovative Applications of AI Award, AAAI - "SmartHS: An AI Platform for Improving Government Service Provision".
  8. 2017: Best Student Paper Award, IJIT - "Towards Trust-aware Health Monitoring Body Area Sensor Network".
  9. 2016: Best Poster Award, ICCSE'16 - "Efficient Crowd-powered Active Learning for Reliable Review Evaluation".
  10. 2016: Best Paper Award, ICCSE'16 - "Towards Data-driven Software Engineering Skills Assessment".
  11. 2016: Best Paper Award, SCSM'16 - "Towards Emotionally Intelligent Machines: Taking Social Contexts into Account".
  12. 2016: Best Student Poster Award, AAAI-16 - "Efficient Collaborative Crowdsourcing".
  13. 2016: Best Video - People's Choice Award, AAAI-16 - "Artificial Intelligence for Liveable Cities".
  14. 2015: Best Demo Award, WI-IAT'15 - "Agent Augmented Inter-generational Crowdsourcing".
  15. 2015: Best Application Video Award, IJCAI'15 - "Goal Oriented Teachable Agent in Virtual Learning Environment".
  16. 2011: Best Paper Award, ICCT'11 - "Dynamic Witness Selection for Trustworthy Distributed Cooperative Sensing in Cognitive Radio Networks".

Editorial Services

  1. Editor, Federated Learning: Privacy and Incentive, 2020.
  2. Editorial Board Member, Frontiers in Sustainable Cities, 2020 - now.
  3. Guest Editor, Special Issue on Federated Machine Learning, IEEE Intelligent Systems, 2019.
  4. 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 29th International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020.
  2. Sponsorship Co-Chair, the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020.
  3. Co-Chair, Special Track on Federated Machine Learning, the 2019 IEEE International Conference on Big Data (IEEE BigData'19), Los Angeles, CA, USA, 2019.
  4. Program Co-Chair, the 4th International Conference on Crowd Science and Engineering (ICCSE'19), Jinan, China, 2019.
  5. Publicity Co-Chair, the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), Macau, 2019.
  6. Program Co-Chair, the 3rd IEEE International Conference on Agents (ICA'18), Singapore, 2018.
  7. 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. Co-Organizer, International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2020 (FL-ICML'20), Vienna, Austria, 2020.
  2. 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.
  3. Co-Organizer, IBM Workshop on Federated Learning and Analytics (FL-IBM'20), New York, NY, USA, 2020.
  4. 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.
  5. Publicity Co-Chair, the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FL-IJCAI'19), Macau, 2019.
  6. Co-Chair, Workshop on Artificial Intelligence Safety (AISafety-IJCAI'19), Macau, 2019.

Administrative Services

  1. 2020: Reviewer, "AI Ethics and Governance Body of Knowledge", the Singapore Government.
  2. 2020: Selection Panel Member, Wallenberg-NTU Presidential Postdoctoral Fellowship (PPF).
  3. 2019: Judge, the 1st WeBank FinTechathon, Shenzhen, China.
  4. 2019: Judge, Singapore Science and Engineering Fair (SSEF).
  5. 2019: Selection Panel Member, Wallenberg-NTU Presidential Postdoctoral Fellowship (PPF).

Service Awards

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

Teaching Experience

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

Research Publications

Technology Disclosures
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. H. Yu, C. Miao & Z. Shen, "Apparatus and Method for Efficient Task Allocation in Crowdsourcing," Technology Disclosure for Nanyang Technological University (TD/002/14), 03/01/2014.
  6. H. Yu, C. Miao, Z. Shen & C. Leung, "Method and Apparatus for Algorithmic Control of the Acceptance of Orders by an E-Commerce Enterprise," Technology Disclosure for Nanyang Technological University (TD/001/14), 03/01/2014.
arXiv Preprints
  1. 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.
  2. 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.
  3. L. Lyu, H. Yu & Q. Yang, "Threats to Federated Learning: A Survey," CoRR, arXiv:2003.02133, 2020.
  4. 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.
  5. S. Feng & H. Yu, "Multi-Participant Multi-Class Vertical Federated Learning," CoRR, arXiv:2001.11154, 2020.
  6. 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.
  7. P. Kairouz, H. B. McMahan, B. Avent, A. Bellet, M. Bennis, A. N. Bhagoji, K. Bonawitz, Z. Charles, G. Cormode, R. Cummings, R. G. L. D'Oliveira, S. E. Rouayheb, D. Evans, J. Gardner, Z. Garrett, A. Gascon, B. Ghazi, P. B. Gibbons, M. Gruteser, Z. Harchaoui, C. He, L. He, Z. Huo, B. Hutchinson, J. Hsu, M. Jaggi, T. Javidi, G. Joshi, M. Khodak, J. Konecny, A. Korolova, F. Koushanfar, S. Koyejo, T. Lepoint, Y. Liu, P. Mittal, M. Mohri, R. Nock, A. Ozgur, R. Pagh, M. Raykova, H. Qi, D. Ramage, R. Raskar, D. Song, W. Song, S. U. Stich, Z. Sun, A. T. Suresh, F. Tramer, P. Vepakomma, J. Wang, L. Xiong, Z. Xu, Q. Yang, F. X. Yu, H. Yu & S. Zhao, "Advances and Open Problems in Federated Learning," CoRR, arXiv:1912.04977, 2019.
  8. S. Fauvel & H. Yu, "A Survey on Artificial Intelligence and Data Mining for MOOCs," CoRR, arXiv:1601.06862, 2016.
  9. H. Yu, Z. Shen, Q. Wu & C. Miao, "Designing Socially Intelligent Virtual Companions," CoRR, arXiv:1411.7090, 2014.
  10. J. Lin, H. Yu & Z. Shen, "An Empirical Analysis of Task Allocation in Scrum-based Agile Programming," CoRR, arXiv:1411.6201, 2014.
  11. J. Lin, H. Yu & Z. Shen, "Identifying Talented Software Engineering Students through Data-driven Skill Assessment," CoRR, arXiv:1411.6197, 2014.
Books
  1. 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).
  2. Yang, Q., Liu, Y., Cheng, Y., Kang, Y., Chen, T. & Yu, H. (2019) Federated Learning. Morgan & Claypool Publishers, San Rafael, CA, USA, p. 207. (Access via NTU Library)
Book Chapters
  1. 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.
  2. 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. 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).
  2. 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).
  3. 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 PP(99), doi:10.1109/TIM.2020.2988169, IEEE (2020).
  4. 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), doi:10.1109/MIS.2020.2987774, IEEE (2020).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. Yu, H. Ethics and AI: Teaching our machines to tell right from wrong. The IT Society 1, 2-3, Singapore Computer Society (2019).
  12. 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).
  13. 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).
  14. 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).
  15. 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).
  16. 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).
  17. 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).
  18. 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).
  19. 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).
  20. 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).
  21. 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).
  22. 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).
  23. 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).
  24. 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).
  25. 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).
  26. 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).
  27. 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).
  28. 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).
  29. Miao, C. Yu, H., Shen, Z. & Leung, C. Balancing quality and budget considerations in mobile crowdsourcing. Decision Support Systems 90, 56-64, Elsevier (2016).
  30. 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).
  31. Yu, H., Shen, Z., Miao, C., An, B. & Leung, C. Filtering trust opinions through reinforcement learning. Decision Support Systems 66, 102-113, Elsevier (2014).
  32. 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).
  33. 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).
  34. 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).
  35. 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).
  36. 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).
  37. 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).
  38. 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).
  39. 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).
  40. 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)
  41. 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).
  42. 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. 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.
  2. 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.
  3. 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.
  4. Z. Zeng, J. Chen, H. Yu, Y. Wang, Y. Chi, L. Cui & C. Miao, "Parkinson's Disease Risk Analytics based on Chinese Character Handwriting," the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), 2020.
  5. Z. Deng, H. J. Y. Wong, H. Yu, J. Huang, C. Leung & C. Miao, "A Multi-Agent Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems," the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), 2020.
  6. H. Yu, H. J. Liu, Z. Zeng, R. Lin, Y. Liu, X. Wei, C. Zheng, T. Chen, Q. Yang & X. Peng, "Incorporating Fairness and Explainability into Dynamic Work Allocation," the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), 2020.
  7. Z. Chen, K. L. Ng, Z. Liu, H. Yu, R. Lin, Y. Liu, L. Fan & Q. Yang, "Co-Designing Federated Learning Incentive Schemes through Game Play," the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), 2020.
  8. 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.
  9. 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.
  10. A. Zeng, H. Yu, Q. Da, Y. Zan & C. Miao, "Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection," in Proceedings of the 32nd AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-20), pp. 13212-13219, 2020. (Innovative Applications of AI Award)
  11. 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 AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-20), pp. 13220-13227, 2020. (Innovative Applications of AI Award)
  12. 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 AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-20), pp. 13172-13179, 2020. (Innovative Applications of AI Award)
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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)
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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)
  26. Y. Zheng, H. Yu, K. Zhang, Y. Shi, R. Lin, C. Leung & C. Miao, "Improving Power Management and Usage with AI," the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), 2019.
  27. 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), 2019.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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)
  35. 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.
  36. 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.
  37. 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.
  38. 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 AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-18), pp. 7704-7711, 2018. (Innovative Applications of AI Award)
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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)
  45. 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.
  46. 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.
  47. 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.
  48. 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)
  49. 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)
  50. H. Yu, "Algorithmic Crowdsourcing for Productive Aging," in Proceedings of the 9th World Congress on Active Ageing (WCAA'16), pp. 11-12, 2016.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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)
  56. 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.
  57. 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.
  58. 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.
  59. 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)
  60. 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.
  61. 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)
  62. 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.
  63. 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.
  64. 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.
  65. 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)
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. C. Miao, C. Leung, H. Yu, D. W. Ng, H. Zhang, Q. Wu, F. Xiao, Y. Qiu, J. Leung & Z. Shen, "AI for Aging in-Place," the 30th AAAI Conference on Artificial Intelligence (AAAI-15), 2015.
  72. 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.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. 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.
  82. 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.
  83. 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.
  84. 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.
  85. 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.
  86. 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.
  87. 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.
  88. 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.
  89. 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.
  90. 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.
  91. 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)
  92. 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.
  93. 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.
  94. 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.
  95. 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.
  96. 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.
  97. 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.
  98. 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.
  99. 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.
  100. 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.
  101. 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.
  102. 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.
  103. Y.L. Theng, K.L. Tan, E.P. Lim, J. Zhang, Dion 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.
  104. 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.
  105. 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.