Hsiang Hsu

Orcid: 0000-0001-8084-3929

According to our database1, Hsiang Hsu authored at least 35 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning.
CoRR, 2024

Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation.
CoRR, 2024

Machine Unlearning for Image-to-Image Generative Models.
CoRR, 2024

2023
Robust Hybrid Learning With Expert Augmentation.
Trans. Mach. Learn. Res., 2023

Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models.
CoRR, 2023

Arbitrariness Lies Beyond the Fairness-Accuracy Frontier.
CoRR, 2023

Individual Arbitrariness and Group Fairness.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Arbitrary Decisions Are a Hidden Cost of Differentially Private Training.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022
Generalizing Correspondence Analysis for Applications in Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks.
CoRR, 2022

Beyond Adult and COMPAS: Fairness in Multi-Class Prediction.
CoRR, 2022

Rashomon Capacity: A Metric for Predictive Multiplicity in Probabilistic Classification.
CoRR, 2022

Rashomon Capacity: A Metric for Predictive Multiplicity in Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
To Split or not to Split: The Impact of Disparate Treatment in Classification.
IEEE Trans. Inf. Theory, 2021

The Impact of Split Classifiers on Group Fairness.
Proceedings of the IEEE International Symposium on Information Theory, 2021

CPR: Classifier-Projection Regularization for Continual Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
CPR: Classifier-Projection Regularization for Continual Learning.
CoRR, 2020

A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Obfuscation via Information Density Estimation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Graph-Based Modeling, Scheduling, and Verification for Intersection Management of Intelligent Vehicles.
ACM Trans. Embed. Comput. Syst., 2019

The Effect of Hip Assistance Levels on Human Energetic Cost Using Robotic Hip Exoskeletons.
IEEE Robotics Autom. Lett., 2019

Information-Theoretic Privacy Watchdogs.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Electromyography (EMG) Signal Contributions in Speed and Slope Estimation Using Robotic Exoskeletons.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

Correspondence Analysis Using Neural Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network.
IEEE Trans. Mob. Comput., 2018

Latency Control in Edge Information Cache and Dissemination for Unmanned Mobile Machines.
IEEE Trans. Ind. Informatics, 2018

Correspondence Analysis of Government Expenditure Patterns.
CoRR, 2018

Deep Orthogonal Representations: Fundamental Properties and Applications.
CoRR, 2018

Energy-Optimal Edge Content Cache and Dissemination: Designs for Practical Network Deployment.
IEEE Commun. Mag., 2018

Generalizing Bottleneck Problems.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2016
A Resource Allocation Perspective on Caching to Achieve Low Latency.
IEEE Commun. Lett., 2016

Collaborative radio access of heterogeneous cloud radio access networks and edge computing networks.
Proceedings of the IEEE International Conference on Communication, 2016

Optimal caching time for epidemic content dissemination in mobile social networks.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015
Architecture Harmonization Between Cloud Radio Access Networks and Fog Networks.
IEEE Access, 2015


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