Han Shao - RankMe

51 papers A* 13A 1C 1Journal 30Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Equitable Evaluation via Elicitation. CoRR Elbert Du, Cynthia Dwork, Lunjia Hu, Reid McIlroy-Young, Han Shao, Linjun Zhang
2026	J	`jnl`	On Randomized Algorithms in Online Strategic Classification. CoRR Chase Hutton, Adam Melrod, Han Shao
2025	J	`jnl`	A Fast Electrochemical Impedance Spectroscopy With a Square Wave as Excitation Signal for Impedance-Based Biomedical Applications. IEEE Trans. Biomed. Circuits Syst. Zhongzheng Wang, Han Shao, Alan O'Riordan, Javier Higes-Marquez, Ivan John O'Connell, Daniel O'Hare
2025	J	`jnl`	A Machine Learning Theory Perspective on Strategic Litigation. CoRR Melissa Dutz, Han Shao, Avrim Blum, Aloni Cohen
2025	J	`jnl`	How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension. CoRR Cynthia Dwork, Lunjia Hu, Han Shao
2025	J	`jnl`	Incentives in Federated Learning with Heterogeneous Agents. CoRR Ariel D. Procaccia, Han Shao, Itai Shapira
2025	A*	`conf`	Should Decision-Makers Reveal Classifiers in Online Strategic Classification? ICML Han Shao, Shuo Xie, Kunhe Yang
2025	J	`jnl`	Should Decision-Makers Reveal Classifiers in Online Strategic Classification? CoRR Han Shao, Shuo Xie, Kunhe Yang
2024	—	`conf`	A Fast Square Wave-based Electrochemical Impedance Spectroscopy for Impedance-based Biomedical Applications. BioCAS Zhongzheng Wang, Han Shao, Alan O'Riordan, Javier Higes-Marquez, Ivan John O'Connell, Daniel O'Hare
2024	C	`conf`	Comparing Deep Neural Networks for 1D Multi-Label Power Quality Disturbance Classification: ResNet, MobileNet, and DenseNet. IECON Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
2024	A*	`conf`	Efficient Prior-Free Mechanisms for No-Regret Agents. EC Natalie Collina, Aaron Roth, Han Shao
2024	—	`conf`	Incentivized Collaboration in Active Learning. FORC Lee Cohen, Han Shao
2024	A*	`conf`	Learnability Gaps of Strategic Classification. COLT Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
2024	J	`jnl`	Learnability Gaps of Strategic Classification. CoRR Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
2024	J	`jnl`	Probably Approximately Precision and Recall Learning. CoRR Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
2024	A*	`conf`	Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization. NeurIPS Omar Montasser, Han Shao, Emmanuel Abbe
2024	J	`jnl`	Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization. CoRR Omar Montasser, Han Shao, Emmanuel Abbe
2024	J	`jnl`	Trustworthy Machine Learning under Social and Adversarial Data Sources. CoRR Han Shao
2023	J	`jnl`	A Current Loop Model for the Fast Simulation of Ferrofluids. IEEE Trans. Vis. Comput. Graph. Han Shao, Libo Huang, Dominik L. Michels
2023	J	`jnl`	Efficient Prior-Free Mechanisms for No-Regret Agents. CoRR Natalie Collina, Aaron Roth, Han Shao
2023	A*	`conf`	Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. NeurIPS Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
2023	J	`jnl`	Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. CoRR Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
2023	J	`jnl`	Incentivized Collaboration in Active Learning. CoRR Lee Cohen, Han Shao
2023	J	`jnl`	On the Effect of Defections in Federated Learning and How to Prevent Them. CoRR Minbiao Han, Kumar Kshitij Patel, Han Shao, Lingxiao Wang
2023	—	`conf`	Real-Time Electrochemical Sensor for Phosphate Sensing in Water. SENSORS Tarun Narayan, Mary-Kate Reidy, Sarah Heelan, Alan O'Riordan, Han Shao
2023	A*	`conf`	Strategic Classification under Unknown Personalized Manipulation. NeurIPS Han Shao, Avrim Blum, Omar Montasser
2023	J	`jnl`	Strategic Classification under Unknown Personalized Manipulation. CoRR Han Shao, Avrim Blum, Omar Montasser
2022	A*	`conf`	A Theory of PAC Learnability under Transformation Invariances. NeurIPS Han Shao, Omar Montasser, Avrim Blum
2022	J	`jnl`	A Theory of PAC Learnability under Transformation Invariances. CoRR Han Shao, Omar Montasser, Avrim Blum
2022	J	`jnl`	A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow. ACM Trans. Graph. Han Shao, Libo Huang, Dominik L. Michels
2022	—	`conf`	Application of Artificial Intelligence in Drug Detoxification. ISAIMS Han Shao, Zhencai Chen
2022	—	`conf`	Are You Tired? I am: Trying to Understand Privacy Fatigue of Social Media Users. CHI Extended Abstracts Han Shao, Xiang Li, Guodi Wang
2022	J	`jnl`	Ensemble based on accuracy and diversity weighting for evolving data streams. Int. Arab J. Inf. Technol. Yange Sun, Han Shao, Bencai Zhang
2021	A*	`conf`	Accurately Solving Rod Dynamics with Graph Learning. NeurIPS Han Shao, Tassilo Kugelstadt, Torsten Hädrich, Wojtek Palubicki, Jan Bender, Sören Pirk, Dominik L. Michels
2021	J	`jnl`	Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance. Comput. Intell. Neurosci. Yange Sun, Meng Li, Lei Li, Han Shao, Yi Sun
2021	—	`conf`	Do I Prefer It?: The Role of Cultural Heuristics in Chinese Citizens' Attitudes to COVID-19 Rumors. CHI Extended Abstracts Han Shao
2021	A*	`conf`	One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning. ICML Avrim Blum, Nika Haghtalab, Richard Lanas Phillips, Han Shao
2021	J	`jnl`	One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning. CoRR Avrim Blum, Nika Haghtalab, Richard Lanas Phillips, Han Shao
2021	J	`jnl`	Platinum-Based Interdigitated Micro-Electrode Arrays for Reagent-Free Detection of Copper. Sensors Robert Daly, Tarun Narayan, Han Shao, Alan O'Riordan, Pierre Lovera
2021	A*	`conf`	Robust learning under clean-label attack. COLT Avrim Blum, Steve Hanneke, Jian Qian, Han Shao
2021	J	`jnl`	Robust learning under clean-label attack. CoRR Avrim Blum, Steve Hanneke, Jian Qian, Han Shao
2020	J	`jnl`	Accurately Solving Physical Systems with Graph Learning. CoRR Han Shao, Tassilo Kugelstadt, Wojciech Palubicki, Jan Bender, Sören Pirk, Dominik L. Michels
2020	A*	`conf`	Online Learning with Primary and Secondary Losses. NeurIPS Avrim Blum, Han Shao
2020	J	`jnl`	Online Learning with Primary and Secondary Losses. CoRR Avrim Blum, Han Shao
2020	J	`jnl`	Stochastic Bandits with Vector Losses: Minimizing 𝓁 CoRR Xuedong Shang, Han Shao, Jian Qian
2020	A*	`conf`	Structure Adaptive Algorithms for Stochastic Bandits. ICML Rémy Degenne, Han Shao, Wouter M. Koolen
2020	J	`jnl`	Structure Adaptive Algorithms for Stochastic Bandits. CoRR Rémy Degenne, Han Shao, Wouter M. Koolen
2019	J	`jnl`	Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift. Inf. Yange Sun, Han Shao, Shasha Wang
2018	A*	`conf`	Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. NeurIPS Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu
2018	J	`jnl`	Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. CoRR Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu
2018	A	`conf`	Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. UAI Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King