 Recovering Top-Two Answers and Confusion Probability in Multi-Choice
CrowdsourcingInternational Conference on Machine Learning (ICML), 2022 |
 Rank-1 Matrix Completion with Gradient Descent and Small Random InitializationNeural Information Processing Systems (NeurIPS), 2022 |
 A Worker-Task Specialization Model for Crowdsourcing: Efficient
Inference and Fundamental LimitsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021 |
 Crowdsourcing via Annotator Co-occurrence Imputation and Provable
Symmetric Nonnegative Matrix FactorizationInternational Conference on Machine Learning (ICML), 2021 |
 Adversarial Crowdsourcing Through Robust Rank-One Matrix CompletionNeural Information Processing Systems (NeurIPS), 2020 |
 Asymptotic Convergence Rate of Alternating Minimization for Rank One
Matrix CompletionIEEE Control Systems Letters (L-CSS), 2020 |
