Hsiang Hsu - RankMe

64 papers A* 11A 2B 5C 1Journal 37Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Best-of-Tails: Bridging Optimism and Pessimism in Inference-Time Alignment. CoRR Hsiang Hsu, Eric Lei, Chun-Fu Chen
2026	J	`jnl`	Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation. CoRR Arjun Nichani, Hsiang Hsu, Chun-Fu Chen, Haewon Jeong
2026	J	`jnl`	The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples. CoRR Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lécué, Chun-Fu Chen
2025	J	`jnl`	Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning. CoRR Feiyu Lu, Mengyu Chen, Hsiang Hsu, Pranav Deshpande, Cheng Yao Wang, Blair MacIntyre
2025	J	`jnl`	Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity. CoRR Prakhar Ganesh, Hsiang Hsu, Golnoosh Farnadi
2025	J	`jnl`	HeavyWater and SimplexWater: Watermarking Low-Entropy Text Distributions. CoRR Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Hsiang Hsu, Chen-Fu Chen, Haim H. Permuter, Sajani Vithana, Flávio P. Calmon
2025	B	`conf`	Optimized Couplings for Watermarking Large Language Models. ISIT Carol Xuan Long, Dor Tsur, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flávio P. Calmon
2025	J	`jnl`	Optimized Couplings for Watermarking Large Language Models. CoRR Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flávio P. Calmon
2025	A*	`conf`	PASS: Private Attributes Protection with Stochastic Data Substitution. ICML Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Tarek F. Abdelzaher
2025	J	`jnl`	PASS: Private Attributes Protection with Stochastic Data Substitution. CoRR Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Tarek F. Abdelzaher
2025	A*	`conf`	PaLD: Detection of Text Partially Written by Large Language Models. ICLR Eric Lei, Hsiang Hsu, Chun-Fu Chen
2025	B	`conf`	Probing LLM Hallucination from Within: Perturbation-Driven Method via Internal Knowledge. IEEE Big Data Seongmin Lee, Hsiang Hsu, Chun-Fu Richard Chen, Duen Horng (Polo) Chau
2024	—	`conf`	Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning. CHI Extended Abstracts Feiyu Lu, Mengyu Chen, Hsiang Hsu, Pranav Deshpande, Cheng Yao Wang, Blair MacIntyre
2024	—	`conf`	Adaptive Content Placement in Mixed Reality Through Empirical User Behavioral Patterns. ISMAR-Adjunct Feiyu Lu, Mengyu Chen, Hsiang Hsu, Pranav Deshpande, Cheng Yao Wang, Blair MacIntyre
2024	A*	`conf`	Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. ICLR Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen
2024	J	`jnl`	Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. CoRR Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen
2024	—	`conf`	Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CVPR Workshops Guihong Li, Hsiang Hsu, Chun-Fu Richard Chen, Radu Marculescu
2024	J	`jnl`	LLM Hallucination Reasoning with Zero-shot Knowledge Test. CoRR Seongmin Lee, Hsiang Hsu, Chun-Fu Chen
2024	A*	`conf`	MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. ICML Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher
2024	J	`jnl`	MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. CoRR Yizhuo Chen, Chun-Fu (Richard) Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher
2024	A*	`conf`	Machine Unlearning for Image-to-Image Generative Models. ICLR Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
2024	J	`jnl`	Machine Unlearning for Image-to-Image Generative Models. CoRR Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
2024	A*	`conf`	OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. ICLR Wei-Cheng Huang, Chun-Fu Richard Chen, Hsiang Hsu
2024	J	`jnl`	OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. CoRR Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu
2024	A*	`conf`	RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting. NeurIPS Hsiang Hsu, Ivan Brugere, Shubham Sharma, Freddy Lécué, Richard Chen
2023	J	`jnl`	Arbitrariness Lies Beyond the Fairness-Accuracy Frontier. CoRR Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon
2023	—	`conf`	Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
2023	—	`conf`	Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
2023	J	`jnl`	Arbitrary Decisions are a Hidden Cost of Differentially-Private Training. CoRR Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
2023	J	`jnl`	Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CoRR Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu
2023	A*	`conf`	Individual Arbitrariness and Group Fairness. NeurIPS Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon
2023	J	`jnl`	Robust Hybrid Learning With Expert Augmentation. Trans. Mach. Learn. Res. Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen
2022	J	`jnl`	Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks. CoRR Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu, Flávio P. Calmon
2022	A*	`conf`	Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. NeurIPS Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon
2022	J	`jnl`	Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. CoRR Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon
2022	J	`jnl`	Generalizing Correspondence Analysis for Applications in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
2022	A*	`conf`	Rashomon Capacity: A Metric for Predictive Multiplicity in Classification. NeurIPS Hsiang Hsu, Flávio P. Calmon
2022	J	`jnl`	Rashomon Capacity: A Metric for Predictive Multiplicity in Probabilistic Classification. CoRR Hsiang Hsu, Flávio du Pin Calmon
2022	J	`jnl`	Robust Hybrid Learning With Expert Augmentation. CoRR Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen
2021	A*	`conf`	CPR: Classifier-Projection Regularization for Continual Learning. ICLR Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon
2021	B	`conf`	The Impact of Split Classifiers on Group Fairness. ISIT Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
2021	J	`jnl`	To Split or not to Split: The Impact of Disparate Treatment in Classification. IEEE Trans. Inf. Theory Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
2020	C	`conf`	A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles. IV Shang-Chien Lin, Hsiang Hsu, Yi-Ting Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu
2020	J	`jnl`	CPR: Classifier-Projection Regularization for Continual Learning. CoRR Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon
2020	A	`conf`	Obfuscation via Information Density Estimation. AISTATS Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon
2020	J	`jnl`	To Split or Not to Split: The Impact of Disparate Treatment in Classification. CoRR Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
2019	A	`conf`	Correspondence Analysis Using Neural Networks. AISTATS Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
2019	J	`jnl`	Correspondence Analysis Using Neural Networks. CoRR Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
2019	—	`conf`	Electromyography (EMG) Signal Contributions in Speed and Slope Estimation Using Robotic Exoskeletons. ICORR Inseung Kang, Pratik Kunapuli, Hsiang Hsu, Aaron J. Young
2019	J	`jnl`	Graph-Based Modeling, Scheduling, and Verification for Intersection Management of Intelligent Vehicles. ACM Trans. Embed. Comput. Syst. Yi-Ting Lin, Hsiang Hsu, Shang-Chien Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu
2019	B	`conf`	Information-Theoretic Privacy Watchdogs. ISIT Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon
2019	J	`jnl`	Obfuscation via Information Density Estimation. CoRR Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon
2019	J	`jnl`	The Effect of Hip Assistance Levels on Human Energetic Cost Using Robotic Hip Exoskeletons. IEEE Robotics Autom. Lett. Inseung Kang, Hsiang Hsu, Aaron J. Young
2018	J	`jnl`	Correspondence Analysis of Government Expenditure Patterns. CoRR Hsiang Hsu, Flávio P. Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian
2018	J	`jnl`	Deep Orthogonal Representations: Fundamental Properties and Applications. CoRR Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
2018	J	`jnl`	Delay Guaranteed Network Association for Mobile Machines in Heterogeneous Cloud Radio Access Network. IEEE Trans. Mob. Comput. Shao-Chou Hung, Hsiang Hsu, Shin-Ming Cheng, Qimei Cui, Kwang-Cheng Chen
2018	J	`jnl`	Energy-Optimal Edge Content Cache and Dissemination: Designs for Practical Network Deployment. IEEE Commun. Mag. Shao-Yu Lien, Shao-Chou Hung, Hsiang Hsu, Der-Jiunn Deng
2018	B	`conf`	Generalizing Bottleneck Problems. ISIT Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon
2018	J	`jnl`	Generalizing Bottleneck Problems. CoRR Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon
2018	J	`jnl`	Latency Control in Edge Information Cache and Dissemination for Unmanned Mobile Machines. IEEE Trans. Ind. Informatics Shao-Yu Lien, Shao-Chou Hung, Hsiang Hsu
2016	J	`jnl`	A Resource Allocation Perspective on Caching to Achieve Low Latency. IEEE Commun. Lett. Hsiang Hsu, Kwang-Cheng Chen
2016	—	`conf`	Collaborative radio access of heterogeneous cloud radio access networks and edge computing networks. ICC Workshops Shao-Yu Lien, Shao-Chou Hung, Hsiang Hsu, Kwang-Cheng Chen
2016	—	`conf`	Optimal caching time for epidemic content dissemination in mobile social networks. ICC Hsiang Hsu, Kwang-Cheng Chen
2015	J	`jnl`	Architecture Harmonization Between Cloud Radio Access Networks and Fog Networks. IEEE Access Shao-Chou Hung, Hsiang Hsu, Shao-Yu Lien, Kwang-Cheng Chen