Hsiang Hsu

According to our database, Hsiang Hsu authored at least 38 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Content Placement in Mixed Reality Through Empirical User Behavioral Patterns.

Feiyu Lu, Mengyu Chen, Hsiang Hsu, Pranav Deshpande, Cheng Yao Wang, Blair MacIntyre

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2024

MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective.

Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Machine Unlearning for Image-to-Image Generative Models.

Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Wei-Cheng Huang, Chun-Fu Richard Chen, Hsiang Hsu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Guihong Li, Hsiang Hsu, Chun-Fu Richard Chen, Radu Marculescu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning.

Feiyu Lu, Mengyu Chen, Hsiang Hsu, Pranav Deshpande, Cheng Yao Wang, Blair MacIntyre

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Robust Hybrid Learning With Expert Augmentation.

Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen

Trans. Mach. Learn. Res., 2023

Arbitrariness Lies Beyond the Fairness-Accuracy Frontier.

Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon

CoRR, 2023

Individual Arbitrariness and Group Fairness.

Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon

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.

Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Generalizing Correspondence Analysis for Applications in Machine Learning.

Hsiang Hsu, Salman Salamatian, Flávio P. Calmon

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu, Flávio P. Calmon

CoRR, 2022

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

Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon

CoRR, 2022

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

Hsiang Hsu, Flávio du Pin Calmon

CoRR, 2022

Rashomon Capacity: A Metric for Predictive Multiplicity in Classification.

Hsiang Hsu, Flávio P. Calmon

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.

Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon

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.

Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon

IEEE Trans. Inf. Theory, 2021

The Impact of Split Classifiers on Group Fairness.

Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon

Proceedings of the IEEE International Symposium on Information Theory, 2021

CPR: Classifier-Projection Regularization for Continual Learning.

Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

CPR: Classifier-Projection Regularization for Continual Learning.

Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon

CoRR, 2020

A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles.

Shang-Chien Lin, Hsiang Hsu, Yi-Ting Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Obfuscation via Information Density Estimation.

Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon

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.

Yi-Ting Lin, Hsiang Hsu, Shang-Chien Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu

ACM Trans. Embed. Comput. Syst., 2019

The Effect of Hip Assistance Levels on Human Energetic Cost Using Robotic Hip Exoskeletons.

Inseung Kang, Hsiang Hsu, Aaron J. Young

IEEE Robotics Autom. Lett., 2019

Information-Theoretic Privacy Watchdogs.

Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon

Proceedings of the IEEE International Symposium on Information Theory, 2019

Electromyography (EMG) Signal Contributions in Speed and Slope Estimation Using Robotic Exoskeletons.

Inseung Kang, Pratik Kunapuli, Hsiang Hsu, Aaron J. Young

Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

Correspondence Analysis Using Neural Networks.

Hsiang Hsu, Salman Salamatian, Flávio P. Calmon

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.

Shao-Chou Hung, Hsiang Hsu, Shin-Ming Cheng, Qimei Cui, Kwang-Cheng Chen

IEEE Trans. Mob. Comput., 2018

Latency Control in Edge Information Cache and Dissemination for Unmanned Mobile Machines.

Shao-Yu Lien, Shao-Chou Hung, Hsiang Hsu

IEEE Trans. Ind. Informatics, 2018

Correspondence Analysis of Government Expenditure Patterns.

Hsiang Hsu, Flávio P. Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian

CoRR, 2018

Deep Orthogonal Representations: Fundamental Properties and Applications.

Hsiang Hsu, Salman Salamatian, Flávio P. Calmon

CoRR, 2018

Energy-Optimal Edge Content Cache and Dissemination: Designs for Practical Network Deployment.

Shao-Yu Lien, Shao-Chou Hung, Hsiang Hsu, Der-Jiunn Deng

IEEE Commun. Mag., 2018

Generalizing Bottleneck Problems.

Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2016

A Resource Allocation Perspective on Caching to Achieve Low Latency.

Hsiang Hsu, Kwang-Cheng Chen

IEEE Commun. Lett., 2016

Collaborative radio access of heterogeneous cloud radio access networks and edge computing networks.

Shao-Yu Lien, Shao-Chou Hung, Hsiang Hsu, Kwang-Cheng Chen

Proceedings of the IEEE International Conference on Communication, 2016

Optimal caching time for epidemic content dissemination in mobile social networks.

Hsiang Hsu, Kwang-Cheng Chen

Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015

Architecture Harmonization Between Cloud Radio Access Networks and Fog Networks.

Shao-Chou Hung, Hsiang Hsu, Shao-Yu Lien, Kwang-Cheng Chen

IEEE Access, 2015