Hui Chen
PhD Student, Macquarie University
huichen.ml [AT] gmail.com
Bio
I am currently a PhD student in the School of Computing at Macquarie University, co-supervised by Prof. Longbing Cao and Prof. Jinyan Li. Prior to transferring to Macquarie University, I commenced my PhD at the University of Technology Sydney. My research interests include Probabilistic Machine Learning and Bayesian Statistics.
Publications
Bayesian Federated Learning: A Survey PDF
Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar
32nd International Joint Conference on Artificial Intelligence, IJCAI 2023.
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems PDF
Hui Chen, Weide Li, Xuan Yang
Expert Systems with Applications, 2020.
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification PDF
Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
IEEE Transactions on Neural Networks and Learning Systems, 2025.
Federated Neural Nonparametric Point Processes PDF
Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
Submitted to Artificial Intelligence.
Marked Temporal Bayesian Flow Point Processes PDF
Hui Chen, Xuhui Fan, Hengyu Liu, Longbing Cao
Submitted to IEEE Transactions on Cybernetics.
Bayesian personalized federated learning with shared and personalized uncertainty representations PDF
Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
Submitted to Machine Learning.
Bayesian Federated Learning: A Survey PDF
Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar
32nd International Joint Conference on Artificial Intelligence, IJCAI 2023.
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems PDF
Hui Chen, Weide Li, Xuan Yang
Expert Systems with Applications, 2020.
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification PDF
Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
IEEE Transactions on Neural Networks and Learning Systems, 2025.
Federated Neural Nonparametric Point Processes PDF
Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
Submitted to Artificial Intelligence.
Marked Temporal Bayesian Flow Point Processes PDF
Hui Chen, Xuhui Fan, Hengyu Liu, Longbing Cao
Submitted to IEEE Transactions on Cybernetics.
Bayesian personalized federated learning with shared and personalized uncertainty representations PDF
Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
Submitted to Machine Learning.
A client–server based recognition system: Non-contact single/multiple emotional and behavioral state assessment methods PDF
Xianxun Zhu, Zhaozhao Liu, Erik Cambria, Xiaohan Yu, Xuhui Fan, Hui Chen, Rui Wang
Computer Methods and Programs in Biomedicine.
Bayesian Federated Learning: A Survey PDF
Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar
32nd International Joint Conference on Artificial Intelligence, IJCAI 2023.
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems PDF
Hui Chen, Weide Li, Xuan Yang
Expert Systems with Applications, 2020.
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification PDF
Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
IEEE Transactions on Neural Networks and Learning Systems, 2025.
Federated Neural Nonparametric Point Processes PDF
Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
Submitted to Artificial Intelligence.
Marked Temporal Bayesian Flow Point Processes PDF
Hui Chen, Xuhui Fan, Hengyu Liu, Longbing Cao
Submitted to IEEE Transactions on Cybernetics.
Bayesian personalized federated learning with shared and personalized uncertainty representations PDF
Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
Submitted to Machine Learning.
A client–server based recognition system: Non-contact single/multiple emotional and behavioral state assessment methods PDF
Xianxun Zhu, Zhaozhao Liu, Erik Cambria, Xiaohan Yu, Xuhui Fan, Hui Chen, Rui Wang
Computer Methods and Programs in Biomedicine.
Services
The Thirteenth International Conference on Learning Representations （ICLR 2025）
PC Member
International Joint Conference on Artificial Intelligence (IJCAI 2025)
PC Member
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2025)
PC Member
The Pacific-Asia Conference on Knowledge Discovery and Data Mining （PAKDD 2025）
PC Member
The 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024)
PC Member
IEEE Transactions on Cybernetics, 2024
Reviewer
Machine Learning, 2025
Reviewer
IEEE Journal of Biomedical and Health Informatics, 2025
Reviewer
Data Mining and Knowledge Discovery, 2025
Reviewer
Acknowledgement
This website uses the website design and template by Martin Saveski, Zitao Liu and Tatsunori Hashimoto