Workshop Presentations

- 2023 -

1. J. Zhang & H. Yu, "A Design Methodology for Incorporating Privacy Preservation into AI Systems," International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2023 (FL-IJCAI'23), Macau, 2023.

2. H. Sun, X. Tang, C. Yang, Z. Yu, X. Wang, Q. Ding, Z. Li & H. Yu, "Hierarchical Federated Learning Incentivization for Gas Usage Estimation," International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2023 (FL-IJCAI'23), Macau, 2023.

- 2022 -

3. Y. Guo, W. Liu, J. Nie, L. Lyu, Z. Xiong, J. Kang, H. Yu, and D. Niyato, "DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation," AI for Transportation Workshop in Conjunction with AAAI, Virtual, 2022. (Best Paper Award)

4. H. Shi, Y. Jiang, H. Yu, Y. Xu and L. Cui, "MVFLS: Multi-participant Vertical Federated Learning based on Secret Sharing," International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22), Virtual, 2022.

- 2021 -

5. P. Xing, S. Lu, L. Wu & H. Yu, "BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning," International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21), Virtual, 2021.

- 2020 -

6. L. Lyu, H. Yu & Q. Yang, "Threats to Federated Learning: A Survey," International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI (FL-IJCAI'20), Yokohama, Japan, 2020.

7. 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," International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI (FL-IJCAI'20), Yokohama, Japan, 2020.

8. Y. Chen, X. Yang, X. Qin, H. Yu, B. Chen & Z. Shen, "FOCUS: Dealing with Label Quality Disparity in Federated Learning," International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI (FL-IJCAI'20), Yokohama, Japan, 2020.

- 2019 -

9. M. Cong, Z. Qu, Y. Zhang, H. Yu, X. Weng, J. Qu, S. M. Yiu, Y. Liu & Q. Yang, "Neural Network Optimization for a VCG-based Federated Learning Incentive Mechanism," International Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with NeurIPS (FL-NeurIPS'19), Vancouver, BC, Canada, 2019.

10. M. Cong, X. Weng, H. Yu & Z. Qu, "FML Incentive Mechanism Design: Concepts, Basic Settings, and Taxonomy," International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI (FL-IJCAI'19), Macau, 2019.

11. Y. Liu, Y. Kang, H. Yu, T. Chen & Q. Yang, "Secure Federated Transfer Learning," International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI (FL-IJCAI'19), Macau, 2019. (Best Paper Award Nomination)

- 2012 -

12. H. Yu, Z. Shen, X. Li, C. Leung & C. Miao, "Whose Opinions to Trust more, your own or others'?," the Workshop on Incentives and Trust in E-commerce - the 13th ACM Conference on Electronic Commerce (EC'12), Valencia, Spain, 2012.

13. H. Yu, Z. Shen, C. Miao & C. Leung, "A Dynamic Method for Mixing Direct and Indirect Trust Evidence," the 1st International Workshop on Age-friendly Intelligent Computing - the 2012 World Congress on Computational Intelligence (WCCI'12), Brisbane, QLD, Australia, 2012.

14. H. Yu, Z. Shen, Q. Wu & C. Miao, "Designing Socially Intelligent Virtual Companions," the 25th International Conference on Computer Animation and Social Agents (CASA'12), Singapore, 2012.

- 2010 -

15. H. Yu, Y. Cai, Z. Shen, X. Tao & C. Miao, "Intelligent Learning Companions for Virtual Learning Environments," the Multi-agent for Education and Interactive Entertainment (MEIE) Workshop - the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'10), Toronto, ON, Canada, 2010.

16. C. Miao, H. Yu, Z. Shen & X. Tao, "Agents for Collaborative Learning in Virtual Worlds," the Workshop on Opportunities for Intelligent and Adaptive behavior in Collaborative Learning Systems - the 10th International Conference on Intelligent Tutoring Systems (ITS'10), Pittsburgh, PA, USA, 2010.