Simon Luo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Failure Prediction

Stochastic Processes

Feature Interactions

Top Venues

CHI Extended Abstracts

Publications

Simon Luo, Adrian Herrera, Paul Quirk, Michael Chase, Damith C. Ranasinghe, Salil S. Kanhere
Make out like a (Multi-Armed) Bandit: Improving the Odds of Fuzzer Seed Scheduling with T-Scheduler. AsiaCCS (2024)
Simon Luo, Adrian Herrera, Paul Quirk, Michael Chase, Damith C. Ranasinghe, Salil S. Kanhere
Make out like a (Multi-Armed) Bandit: Improving the Odds of Fuzzer Seed Scheduling with T-Scheduler. CoRR (2023)
Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong
Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction. Int. J. Data Sci. Anal. 12 (1) (2021)
Simon Luo, Lamiae Azizi, Mahito Sugiyama
Hierarchical probabilistic model for blind source separation via Legendre transformation. UAI (2021)
Feng Zhou, Simon Luo, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen
Efficient EM-variational inference for nonparametric Hawkes process. Stat. Comput. 31 (4) (2021)
Wanchuang Zhu, Benjamin Zi Hao Zhao, Simon Luo, Ke Deng
MANDERA: Malicious Node Detection in Federated Learning via Ranking. CoRR (2021)
Harrison Nguyen, Simon Luo, Fabio Ramos
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training. PAKDD (2) (2020)
Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes. CoRR (2020)
Jianlong Zhou, Simon Luo, Fang Chen
Effects of personality traits on user trust in human-machine collaborations. J. Multimodal User Interfaces 14 (4) (2020)
Harrison Nguyen, Simon Luo, Fabio Ramos
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training. CoRR (2019)
Simon Luo, Lamiae Azizi, Mahito Sugiyama
Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation. CoRR (2019)
Simon Luo, Mahito Sugiyama
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. AAAI (2019)
Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong
Multitask Learning for Sparse Failure Prediction. PAKDD (1) (2019)
Yongzhe Chang, Zhidong Li, Ling Luo, Simon Luo, Arcot Sowmya, Yang Wang, Fang Chen
Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence. ICONIP (2) (2019)
Simon Luo, Mahito Sugiyama
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. CoRR (2019)
Simon Luo, Jianlong Zhou, Henry Been-Lirn Duh, Fang Chen
BVP Feature Signal Analysis for Intelligent User Interface. CHI Extended Abstracts (2017)
Simon Luo, Victor W. Chu, Jianlong Zhou, Fang Chen, Raymond K. Wong, Weidong Huang
A Multivariate Clustering Approach for Infrastructure Failure Predictions. BigData Congress (2017)
Jianlong Zhou, Syed Z. Arshad, Simon Luo, Fang Chen
Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making. INTERACT (4) (2017)
Jianlong Zhou, Syed Z. Arshad, Simon Luo, Kun Yu, Shlomo Berkovsky, Fang Chen
Indexing Cognitive Load using Blood Volume Pulse Features. CHI Extended Abstracts (2017)