The following is a list of publications from the project team, most of which are in the top 10% of
S&T journals and conferences in the field as tracked in a list approved by NRF and/or in the
Clarivate Analytics Journal Citation Reports.
Project Publications
Model-Contrastive Federated Learning
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
June 19-25 2021, pp. 10713-10722
Qinbin Li, Bingsheng He, Dawn
Song
Probabilistic Sequential Shrinking: A Best Arm
Identification Algorithm for Stochastic Bandits with Corruptions
Proceedings of the 38th International Conference on Machine Learning (ICML-2021), 18-24 July
2021
Zixin Zhong, Wang Chi Cheung,
Vincent Y. F. Tan
Collaborative Bayesian Optimization with Fair
Regret
Proceedings of the 38th International Conference on Machine Learning (ICML-2021), 18-24 July
2021
Rachael Hwee Ling Sim, Yehong
Zhang, Kian Hsiang Low & Patrick Jaillet
Learning to Learn with Gaussian Processes
UAI-2021, July 27-30, 2021
Quoc Phong Nguyen, Kian Hsiang
Low, Patrick Jaillet
Practical One-Shot Federated Learning for Cross-Silo
Setting
IJCAI-2021, 21-26 August 2021
Qinbin Li, Bingsheng He, Dawn Song
Challenges and Opportunities of Building Fast GBDT
Systems
Proceedings of the 30th International Joint Conference on Artificial Intelligence, Survey
Track.
Zeyi Wen, Qinbin Li, Bingsheng He
, Bin Cui
Thompson Sampling Algorithms for Cascading Bandits
Journal of Machine Learning Research 2021.
Zixin Zhong, Wang Chi Cheung, and
Vincent Y. F. Tan
Validation Free and Replication Robust Volume-based Data
Valuation
In Proceedings of NeurIPS-2021
Xinyi Xu, Zhaoxuan Wu, Chuan-Sheng Foo
& Bryan Kian Hsiang Low
A Unifying Theory of Thompson Sampling for Continuous
Risk-Averse Bandits
In Proceedings of AAAI-22
Joel Q. L. Chang, Vincent Y. F.
Tan
Gradient Driven Rewards to Guarantee Fairness in
Collaborative Machine Learning
In Proceedings of NeurIPS-2021
Xinyi Xu, Lingjuan Lyu, Xingjun Ma,
Chenglin Miao, Chuan-Sheng Foo, Bryan Kian Hsiang Low
Incentivizing Collaboration in Machine Learning via
Synthetic Data Rewards
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022
Sebastian Tay, Xinyi Xu, Chuan Sheng
Foo, Bryan Kian Hsiang Low
Federated Learning on Non-IID Data Silos: An Experimental
Study
ICDE-22
Qinlin Li, Yiqun Diao, Quan Chen,
Bingsheng He