Lirong Xia

Differentially Private Approval-Based Committee Voting UAI 2026 On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting AAAI 2026 How Likely Are Two Voting Rules Different? UAI 2025 Trading Off Voting Axioms for Privacy UAI 2025 Computational Complexity of Verifying the Group No-show Paradox IJCAI 2024 Determining Winners in Elections with Absent Votes IJCAI 2024 Accelerating Voting by Quantum Computation UAI 2023 Convergence in Multi-Issue Iterative Voting under Uncertainty IJCAI 2023 Differentially Private Condorcet Voting AAAI 2023 First-Choice Maximality Meets Ex-ante and Ex-post Fairness IJCAI 2023 Frustratingly Easy Truth Discovery AAAI 2023 Learning to Design Fair and Private Voting Rules (Extended Abstract) IJCAI 2023 Semi-random Impossibilities of Condorcet Criterion AAAI 2023 Learning Mixtures of Random Utility Models with Features from Incomplete Preferences IJCAI 2022 The Semi-random Likelihood of Doctrinal Paradoxes AAAI 2022 Fair and Efficient Allocations under Lexicographic Preferences AAAI 2021 OPRA: An Open-Source Online Preference Reporting and Aggregation System AAAI 2021 Representative Proxy Voting AAAI 2021 Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare NeurIPS 2021 The Semi-Random Satisfaction of Voting Axioms NeurIPS 2021 The Smoothed Complexity of Computing Kemeny and Slater Rankings AAAI 2021 Dual Learning: Theoretical Study and an Algorithmic Extension ACML 2020 Fair Division Through Information Withholding AAAI 2020 How Private Are Commonly-Used Voting Rules? UAI 2020 Multi-Type Resource Allocation with Partial Preferences AAAI 2020 Optimal Statistical Hypothesis Testing for Social Choice UAI 2020 The Smoothed Possibility of Social Choice NeurIPS 2020 Equitable Allocations of Indivisible Goods IJCAI 2019 Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NeurIPS 2019 Learning Plackett-Luce Mixtures from Partial Preferences AAAI 2019 Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles AAAI 2019 Minimizing Time-to-Rank: A Learning and Recommendation Approach IJCAI 2019 Near-Neighbor Methods in Random Preference Completion AAAI 2019 Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking AAAI 2019 A Mathematical Model For Optimal Decisions In A Representative Democracy NeurIPS 2018 Composite Marginal Likelihood Methods for Random Utility Models ICML 2018 Improving Group Decision-Making by Artificial Intelligence IJCAI 2017 Thwarting Vote Buying Through Decoy Ballots IJCAI 2017 Allocating Indivisible Items in Categorized Domains IJCAI 2016 Learning Mixtures of Plackett-Luce Models ICML 2016 Possible and Necessary Allocations via Sequential Mechanisms IJCAI 2015 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 Computing Parametric Ranking Models via Rank-Breaking ICML 2014 Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014 Generalized Method-of-Moments for Rank Aggregation NeurIPS 2013 Random Utility Theory for Social Choice NeurIPS 2012