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ORCIDHsiang Hsu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c22]Feiyu Lu
, Mengyu Chen, Hsiang Hsu, Pranav Deshpande, Cheng Yao Wang, Blair MacIntyre:
Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning. CHI Extended Abstracts 2024: 32:1-32:7- [c21]Guihong Li, Hsiang Hsu, Chun-Fu Richard Chen, Radu Marculescu:
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CVPR Workshops 2024: 227-234 - [c20]Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen:
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. ICLR 2024 - [c19]Wei-Cheng Huang, Chun-Fu Richard Chen, Hsiang Hsu:
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. ICLR 2024 - [c18]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Machine Unlearning for Image-to-Image Generative Models. ICLR 2024 - [c17]Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher:
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. ICML 2024 - [c16]Feiyu Lu, Mengyu Chen, Hsiang Hsu, Pranav Deshpande, Cheng Yao Wang, Blair MacIntyre:
Adaptive Content Placement in Mixed Reality Through Empirical User Behavioral Patterns. ISMAR-Adjunct 2024: 199-204 - [i18]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Machine Unlearning for Image-to-Image Generative Models. CoRR abs/2402.00351 (2024) - [i17]Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen:
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. CoRR abs/2402.00728 (2024) - [i16]Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu:
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. CoRR abs/2402.04129 (2024) - [i15]Yizhuo Chen, Chun-Fu (Richard) Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher:
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. CoRR abs/2405.14981 (2024) - 2023
- [j10]Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen:
Robust Hybrid Learning With Expert Augmentation. Trans. Mach. Learn. Res. 2023 (2023) - [c15]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF 2023 - [c14]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT 2023: 1609-1623 - [c13]Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon:
Individual Arbitrariness and Group Fairness. NeurIPS 2023 - [i14]Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon:
Arbitrary Decisions are a Hidden Cost of Differentially-Private Training. CoRR abs/2302.14517 (2023) - [i13]Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon:
Arbitrariness Lies Beyond the Fairness-Accuracy Frontier. CoRR abs/2306.09425 (2023) - [i12]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CoRR abs/2312.14923 (2023) - 2022
- [j9]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Generalizing Correspondence Analysis for Applications in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9347-9362 (2022) - [c12]Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon:
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. NeurIPS 2022 - [c11]Hsiang Hsu, Flávio P. Calmon:
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification. NeurIPS 2022 - [i11]Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen:
Robust Hybrid Learning With Expert Augmentation. CoRR abs/2202.03881 (2022) - [i10]Hsiang Hsu, Flávio du Pin Calmon:
Rashomon Capacity: A Metric for Predictive Multiplicity in Probabilistic Classification. CoRR abs/2206.01295 (2022) - [i9]Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon:
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. CoRR abs/2206.07801 (2022) - [i8]Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu, Flávio P. Calmon:
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks. CoRR abs/2209.08423 (2022) - 2021
- [j8]Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
To Split or not to Split: The Impact of Disparate Treatment in Classification. IEEE Trans. Inf. Theory 67(10): 6733-6757 (2021) - [c10]Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon:
CPR: Classifier-Projection Regularization for Continual Learning. ICLR 2021 - [c9]Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
The Impact of Split Classifiers on Group Fairness. ISIT 2021: 3179-3184 - 2020
- [c8]Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon:
Obfuscation via Information Density Estimation. AISTATS 2020: 906-917 - [c7]Shang-Chien Lin, Hsiang Hsu, Yi-Ting Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu:
A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles. IV 2020: 349-356 - [i7]Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon:
To Split or Not to Split: The Impact of Disparate Treatment in Classification. CoRR abs/2002.04788 (2020) - [i6]Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon:
CPR: Classifier-Projection Regularization for Continual Learning. CoRR abs/2006.07326 (2020)
2010 – 2019
- 2019
- [j7]Inseung Kang, Hsiang Hsu, Aaron J. Young:
The Effect of Hip Assistance Levels on Human Energetic Cost Using Robotic Hip Exoskeletons. IEEE Robotics Autom. Lett. 4(2): 430-437 (2019) - [j6]Yi-Ting Lin, Hsiang Hsu, Shang-Chien Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu:
Graph-Based Modeling, Scheduling, and Verification for Intersection Management of Intelligent Vehicles. ACM Trans. Embed. Comput. Syst. 18(5s): 95:1-95:21 (2019) - [c6]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Correspondence Analysis Using Neural Networks. AISTATS 2019: 2671-2680 - [c5]Inseung Kang, Pratik Kunapuli, Hsiang Hsu, Aaron J. Young:
Electromyography (EMG) Signal Contributions in Speed and Slope Estimation Using Robotic Exoskeletons. ICORR 2019: 548-553 - [c4]Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon:
Information-Theoretic Privacy Watchdogs. ISIT 2019: 552-556 - [i5]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Correspondence Analysis Using Neural Networks. CoRR abs/1902.07828 (2019) - [i4]Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon:
Obfuscation via Information Density Estimation. CoRR abs/1910.08109 (2019) - 2018
- [j5]Shao-Yu Lien, Shao-Chou Hung, Hsiang Hsu, Der-Jiunn Deng:
Energy-Optimal Edge Content Cache and Dissemination: Designs for Practical Network Deployment. IEEE Commun. Mag. 56(5): 88-93 (2018) - [j4]Shao-Yu Lien, Shao-Chou Hung, Hsiang Hsu:
Latency Control in Edge Information Cache and Dissemination for Unmanned Mobile Machines. IEEE Trans. Ind. Informatics 14(10): 4612-4621 (2018) - [j3]Shao-Chou Hung, Hsiang Hsu, Shin-Ming Cheng, Qimei Cui, Kwang-Cheng Chen:
Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network. IEEE Trans. Mob. Comput. 17(12): 2744-2760 (2018) - [c3]Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon:
Generalizing Bottleneck Problems. ISIT 2018: 531-535 - [i3]Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon:
Generalizing Bottleneck Problems. CoRR abs/1802.05861 (2018) - [i2]Hsiang Hsu, Salman Salamatian, Flávio P. Calmon:
Deep Orthogonal Representations: Fundamental Properties and Applications. CoRR abs/1806.08449 (2018) - [i1]Hsiang Hsu, Flávio P. Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian:
Correspondence Analysis of Government Expenditure Patterns. CoRR abs/1812.01105 (2018) - 2016
- [j2]Hsiang Hsu, Kwang-Cheng Chen:
A Resource Allocation Perspective on Caching to Achieve Low Latency. IEEE Commun. Lett. 20(1): 145-148 (2016) - [c2]Hsiang Hsu, Kwang-Cheng Chen:
Optimal caching time for epidemic content dissemination in mobile social networks. ICC 2016: 1-6 - [c1]Shao-Yu Lien, Shao-Chou Hung, Hsiang Hsu, Kwang-Cheng Chen:
Collaborative radio access of heterogeneous cloud radio access networks and edge computing networks. ICC Workshops 2016: 193-199 - 2015
- [j1]Shao-Chou Hung, Hsiang Hsu, Shao-Yu Lien, Kwang-Cheng Chen:
Architecture Harmonization Between Cloud Radio Access Networks and Fog Networks. IEEE Access 3: 3019-3034 (2015)
Coauthor Index
aka: Flávio du Pin Calmon
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last updated on 2024-12-11 20:46 CET by the dblp team
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