Han Shao

According to our database, Han Shao authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Learnability Gaps of Strategic Classification.

Lee Cohen, Yishay Mansour, Shay Moran, Han Shao

CoRR, 2024

2023

A Current Loop Model for the Fast Simulation of Ferrofluids.

Han Shao, Libo Huang, Dominik L. Michels

IEEE Trans. Vis. Comput. Graph., December, 2023

On the Effect of Defections in Federated Learning and How to Prevent Them.

Minbiao Han, Kumar Kshitij Patel, Han Shao, Lingxiao Wang

CoRR, 2023

Efficient Prior-Free Mechanisms for No-Regret Agents.

Natalie Collina, Aaron Roth, Han Shao

CoRR, 2023

Incentivized Collaboration in Active Learning.

Lee Cohen, Han Shao

CoRR, 2023

Strategic Classification under Unknown Personalized Manipulation.

Han Shao, Avrim Blum, Omar Montasser

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback.

Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Real-Time Electrochemical Sensor for Phosphate Sensing in Water.

Tarun Narayan, Mary-Kate Reidy, Sarah Heelan, Alan O'Riordan, Han Shao

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022

A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow.

Han Shao, Libo Huang, Dominik L. Michels

ACM Trans. Graph., 2022

Ensemble based on accuracy and diversity weighting for evolving data streams.

Yange Sun, Han Shao, Bencai Zhang

Int. Arab J. Inf. Technol., 2022

A Theory of PAC Learnability under Transformation Invariances.

Han Shao, Omar Montasser, Avrim Blum

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Application of Artificial Intelligence in Drug Detoxification.

Han Shao, Zhencai Chen

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences, 2022

Are You Tired? I am: Trying to Understand Privacy Fatigue of Social Media Users.

Han Shao, Xiang Li, Guodi Wang

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Platinum-Based Interdigitated Micro-Electrode Arrays for Reagent-Free Detection of Copper.

Robert Daly, Tarun Narayan, Han Shao, Alan O'Riordan, Pierre Lovera

Sensors, 2021

Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance.

Yange Sun, Meng Li, Lei Li, Han Shao, Yi Sun

Comput. Intell. Neurosci., 2021

Accurately Solving Rod Dynamics with Graph Learning.

Han Shao, Tassilo Kugelstadt, Torsten Hädrich, Wojtek Palubicki, Jan Bender, Sören Pirk, Dominik L. Michels

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning.

Avrim Blum, Nika Haghtalab, Richard Lanas Phillips, Han Shao

Proceedings of the 38th International Conference on Machine Learning, 2021

Robust learning under clean-label attack.

Avrim Blum, Steve Hanneke, Jian Qian, Han Shao

Proceedings of the Conference on Learning Theory, 2021

Do I Prefer It?: The Role of Cultural Heuristics in Chinese Citizens' Attitudes to COVID-19 Rumors.

Han Shao

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Stochastic Bandits with Vector Losses: Minimizing 𝓁^∞-Norm of Relative Losses.

Xuedong Shang, Han Shao, Jian Qian

CoRR, 2020

Accurately Solving Physical Systems with Graph Learning.

Han Shao, Tassilo Kugelstadt, Wojciech Palubicki, Jan Bender, Sören Pirk, Dominik L. Michels

CoRR, 2020

Online Learning with Primary and Secondary Losses.

Avrim Blum, Han Shao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Structure Adaptive Algorithms for Stochastic Bandits.

Rémy Degenne, Han Shao, Wouter M. Koolen

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift.

Yange Sun, Han Shao, Shasha Wang

Inf., 2019

2018

Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs.

Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs.

Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018