Wenzhuo Yang

Orcid: 0000-0001-7381-1478

According to our database1, Wenzhuo Yang authored at least 38 papers between 2012 and 2024.

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Bibliography

2024
AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning.
IEEE Trans. Mob. Comput., January, 2024

Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-Based Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Understanding Security in Smart City Domains From the ANT-Centric Perspective.
IEEE Internet Things J., July, 2023

Merlion: End-to-End Machine Learning for Time Series.
J. Mach. Learn. Res., 2023

Efficient Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories.
CoRR, 2023

PyRCA: A Library for Metric-based Root Cause Analysis.
CoRR, 2023

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges.
CoRR, 2023

LogAI: A Library for Log Analytics and Intelligence.
CoRR, 2023

Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data.
CoRR, 2023

Privacy-Enhanced Knowledge Transfer with Collaborative Split Learning over Teacher Ensembles.
Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop, 2023

A Practical Intrusion Detection System Trained on Ambiguously Labeled Data for Enhancing IIoT Security.
Proceedings of the 9th ACM Cyber-Physical System Security Workshop, 2023

2022
Machine learning techniques for advanced cyber attack detection
PhD thesis, 2022

Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning.
IEEE Internet Things J., 2022

Causality-Based Multivariate Time Series Anomaly Detection.
CoRR, 2022

OmniXAI: A Library for Explainable AI.
CoRR, 2022

MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation.
CoRR, 2022

Privacy-Preserving Aggregation in Federated Learning: A Survey.
CoRR, 2022

Cybersecurity Challenges Of IoT-enabled Smart Cities: A Survey.
CoRR, 2022

Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks.
Proceedings of the Network and System Security - 16th International Conference, 2022

2021
Merlion: A Machine Learning Library for Time Series.
CoRR, 2021

Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning.
CoRR, 2021

Effective Anomaly Detection Model Training with only Unlabeled Data by Weakly Supervised Learning Techniques.
Proceedings of the Information and Communications Security - 23rd International Conference, 2021

On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Goal scoring, coherent loss and applications to machine learning.
Math. Program., 2020

Unsupervised Learning of Disentangled Location Embeddings.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Automated Cyber Threat Intelligence Reports Classification for Early Warning of Cyber Attacks in Next Generation SOC.
Proceedings of the Information and Communications Security - 21st International Conference, 2019

2018
A Non-Parametric Generative Model for Human Trajectories.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Using Blockchain to Control Access to Cloud Data.
Proceedings of the Information Security and Cryptology - 14th International Conference, 2018

2016
Distributionally robust chance constraints for non-linear uncertainties.
Math. Program., 2016

A Transparent Learning Approach for Attack Prediction Based on User Behavior Analysis.
Proceedings of the Information and Communications Security - 18th International Conference, 2016

Online Collaborative Learning for Open-Vocabulary Visual Classifiers.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A Divide and Conquer Framework for Distributed Graph Clustering.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Streaming Sparse Principal Component Analysis.
Proceedings of the 32nd International Conference on Machine Learning, 2015

A Unified Framework for Outlier-Robust PCA-like Algorithms.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
The Coherent Loss Function for Classification.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
A Unified Robust Regression Model for Lasso-like Algorithms.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Depth-Varying Human Video Sprite Synthesis.
Trans. Edutainment, 2012

Consistent depth maps recovery from a trinocular video sequence.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012


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