Hsiang Hsu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Incremental Learning

Correspondence Analysis

Top Venues

Publications

Wei-Cheng Huang, Chun-Fu Richard Chen, Hsiang Hsu
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. ICLR (2024)
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)
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 (2024)
Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. CoRR (2024)
Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. CoRR (2024)
Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
Machine Unlearning for Image-to-Image Generative Models. CoRR (2024)
Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
Machine Unlearning for Image-to-Image Generative Models. ICLR (2024)
Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. ICLR (2024)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions are a Hidden Cost of Differentially-Private Training. CoRR (2023)
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)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT (2023)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF (2023)
Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CoRR (2023)
Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon
Individual Arbitrariness and Group Fairness. NeurIPS (2023)
Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon
Arbitrariness Lies Beyond the Fairness-Accuracy Frontier. CoRR (2023)
Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen
Robust Hybrid Learning With Expert Augmentation. CoRR (2022)
Hsiang Hsu, Flávio P. Calmon
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification. NeurIPS (2022)
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 (2022)
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)
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 (2022)
Hsiang Hsu, Flávio du Pin Calmon
Rashomon Capacity: A Metric for Predictive Multiplicity in Probabilistic Classification. CoRR (2022)
Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
Generalizing Correspondence Analysis for Applications in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
The Impact of Split Classifiers on Group Fairness. ISIT (2021)
Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon
CPR: Classifier-Projection Regularization for Continual Learning. ICLR (2021)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio du Pin Calmon
To Split or not to Split: The Impact of Disparate Treatment in Classification. IEEE Trans. Inf. Theory 67 (10) (2021)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
To Split or Not to Split: The Impact of Disparate Treatment in Classification. CoRR (2020)
Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon
Obfuscation via Information Density Estimation. AISTATS (2020)
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)
Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon
CPR: Classifier-Projection Regularization for Continual Learning. CoRR (2020)
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) (2019)
Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon
Information-Theoretic Privacy Watchdogs. ISIT (2019)
Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon
Obfuscation via Information Density Estimation. CoRR (2019)
Inseung Kang, Pratik Kunapuli, Hsiang Hsu, Aaron J. Young
Electromyography (EMG) Signal Contributions in Speed and Slope Estimation Using Robotic Exoskeletons. ICORR (2019)
Hsiang Hsu, Salman Salamatian, Flávio du Pin Calmon
Correspondence Analysis Using Neural Networks. CoRR (2019)
Hsiang Hsu, Salman Salamatian, Flávio du Pin Calmon
Correspondence Analysis Using Neural Networks. AISTATS (2019)
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) (2019)
Hsiang Hsu, Flávio du Pin Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian
Correspondence Analysis of Government Expenditure Patterns. CoRR (2018)
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) (2018)
Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio du Pin Calmon
Generalizing Bottleneck Problems. CoRR (2018)
Hsiang Hsu, Salman Salamatian, Flávio du Pin Calmon
Deep Orthogonal Representations: Fundamental Properties and Applications. CoRR (2018)
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) (2018)
Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio du Pin Calmon
Generalizing Bottleneck Problems. ISIT (2018)
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) (2018)
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)
Hsiang Hsu, Kwang-Cheng Chen
A Resource Allocation Perspective on Caching to Achieve Low Latency. IEEE Commun. Lett. 20 (1) (2016)
Hsiang Hsu, Kwang-Cheng Chen
Optimal caching time for epidemic content dissemination in mobile social networks. ICC (2016)
Shao-Chou Hung, Hsiang Hsu, Shao-Yu Lien, Kwang-Cheng Chen
Architecture Harmonization Between Cloud Radio Access Networks and Fog Networks. IEEE Access 3 (2015)