Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. - Han Shao; Xiaotian Yu; Irwin King; Michael R. Lyu (NeurIPS, 2018)

Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. - Xiaotian Yu; Han Shao; Michael R. Lyu; Irwin King (UAI, 2018)

Efficient Ensemble Classification for Multi-Label Data Streams with Concept Drift. - Yange Sun; Han Shao; Shasha Wang (Inf., 2019)

Structure Adaptive Algorithms for Stochastic Bandits. - Rémy Degenne; Han Shao; Wouter M. Koolen (ICML, 2020)

Online Learning with Primary and Secondary Losses. - Avrim Blum; Han Shao (NeurIPS, 2020)

Accurately Solving Physical Systems with Graph Learning. - Han Shao; Tassilo Kugelstadt; Wojciech Palubicki; Jan Bender; Sören Pirk; Dominik L. Michels (CoRR, 2020)

Stochastic Bandits with Vector Losses: Minimizing 𝓁∞-Norm of Relative Losses. - Xuedong Shang; Han Shao; Jian Qian (CoRR, 2020)

Do I Prefer It?: The Role of Cultural Heuristics in Chinese Citizens' Attitudes to COVID-19 Rumors. - Han Shao (CHI Extended Abstracts, 2021)

Robust learning under clean-label attack. - Avrim Blum; Steve Hanneke; Jian Qian; Han Shao (COLT, 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 (ICML, 2021)

Accurately Solving Rod Dynamics with Graph Learning. - Han Shao; Tassilo Kugelstadt; Torsten Hädrich; Wojtek Palubicki; Jan Bender; Sören Pirk; Dominik L. Michels (NeurIPS, 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)

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)

Are You Tired? I am: Trying to Understand Privacy Fatigue of Social Media Users. - Han Shao; Xiang Li; Guodi Wang (CHI Extended Abstracts, 2022)

Application of Artificial Intelligence in Drug Detoxification. - Han Shao; Zhencai Chen (ISAIMS, 2022)

A Theory of PAC Learnability under Transformation Invariances. - Han Shao; Omar Montasser; Avrim Blum (NeurIPS, 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 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)

Real-Time Electrochemical Sensor for Phosphate Sensing in Water. - Tarun Narayan; Mary-Kate Reidy; Sarah Heelan; Alan O'Riordan; Han Shao (SENSORS, 2023)

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. - Han Shao; Lee Cohen 001; Avrim Blum; Yishay Mansour; Aadirupa Saha; Matthew R. Walter (NeurIPS, 2023)

Strategic Classification under Unknown Personalized Manipulation. - Han Shao; Avrim Blum; Omar Montasser (NeurIPS, 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)

A Current Loop Model for the Fast Simulation of Ferrofluids. - Han Shao; Libo Huang; Dominik L. Michels (IEEE Trans. Vis. Comput. Graph., 2023)

A Fast Square Wave-based Electrochemical Impedance Spectroscopy for Impedance-based Biomedical Applications. - Zhongzheng Wang; Han Shao; Alan O'Riordan; Javier Higes-Marquez; Ivan John O'Connell; Daniel O'Hare (BioCAS, 2024)

Learnability Gaps of Strategic Classification. - Lee Cohen 001; Yishay Mansour; Shay Moran; Han Shao (COLT, 2024)

Incentivized Collaboration in Active Learning. - Lee Cohen 001; Han Shao (FORC, 2024)

Comparing Deep Neural Networks for 1D Multi-Label Power Quality Disturbance Classification: ResNet, MobileNet, and DenseNet. - Han Shao; Rui Henriques; Hugo Morais; Elisabetta Tedeschi (IECON, 2024)

Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization. - Omar Montasser; Han Shao; Emmanuel Abbe (NeurIPS, 2024)

Efficient Prior-Free Mechanisms for No-Regret Agents. - Natalie Collina; Aaron Roth 001; Han Shao (EC, 2024)

Trustworthy Machine Learning under Social and Adversarial Data Sources. - Han Shao (CoRR, 2024)

Probably Approximately Precision and Recall Learning. - Lee Cohen 001; Yishay Mansour; Shay Moran; Han Shao (CoRR, 2024)

Should Decision-Makers Reveal Classifiers in Online Strategic Classification? - Han Shao; Shuo Xie; Kunhe Yang (CoRR, 2025)

A Machine Learning Theory Perspective on Strategic Litigation. - Melissa Dutz; Han Shao; Avrim Blum; Aloni Cohen (CoRR, 2025)

How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension. - Cynthia Dwork; Lunjia Hu; Han Shao (CoRR, 2025)

A Fast Electrochemical Impedance Spectroscopy With a Square Wave as Excitation Signal for Impedance-Based Biomedical Applications. - Zhongzheng Wang; Han Shao; Alan O'Riordan; Javier Higes-Marquez; Ivan John O'Connell; Daniel O'Hare (IEEE Trans. Biomed. Circuits Syst., 2025)