Lirong Xia

45 papers · 2012–2026 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🗺️ Taxonomy Completionist (14) 🏃 Academic Marathon (13) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🐺 Lone Wolf (5) 🌱 Topic Pioneer 🔬 Deep Specialist (10) 🏆 Keyword Champion (2) 📈 Trend Setter 🚀 Conference Pioneer 🗃️ Keyword Collector (171) ⚡ Prolific Year (6) 💎 Century Club (44) 🔥 Unstoppable (14) ❓ The Questioner (2)

Conferences

AAAI (15) IJCAI (12) NIPS (8) UAI (5) ICML (3) ACML (1) AISTATS (1)

Top co-authors

Ao Liu (9) Sujoy Sikdar (8) Zhibing Zhao (7) Rohit Vaish (5) Qishen Han (4) Hanpin Wang (4) Yongzhi Cao (4) David C. Parkes (3) Hossein Azari Soufiani (3) Francesca Rossi (3)

Research topics

Statistics (2) Social (1) Probability (1)

Keywords

plackett-luce model (9) voting rule (7) voting theory (5) mixture model (4) mechanism design (4) social choice (4) preference learning (4) generalized method of moment (3) random utility model (3) probabilistic modeling (3) semi-random model (3) mallows model (3) fair division (3) condorcet criterion (3) game theory (2) parameterized algorithm (2) ranking model (2) condorcet model (2) statistical efficiency (2) parameter estimation (2)

Papers

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

Determining Winners in Elections with Absent Votes IJCAI 2024

Computational Complexity of Verifying the Group No-show Paradox IJCAI 2024

Differentially Private Condorcet Voting AAAI 2023

Frustratingly Easy Truth Discovery AAAI 2023

First-Choice Maximality Meets Ex-ante and Ex-post Fairness IJCAI 2023

Accelerating Voting by Quantum Computation UAI 2023

Learning to Design Fair and Private Voting Rules (Extended Abstract) IJCAI 2023

Convergence in Multi-Issue Iterative Voting under Uncertainty 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

The Semi-Random Satisfaction of Voting Axioms NIPS 2021

Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare NIPS 2021

OPRA: An Open-Source Online Preference Reporting and Aggregation System AAAI 2021

The Smoothed Complexity of Computing Kemeny and Slater Rankings AAAI 2021

Representative Proxy Voting AAAI 2021

Dual Learning: Theoretical Study and an Algorithmic Extension ACML 2020

The Smoothed Possibility of Social Choice NIPS 2020

Fair Division Through Information Withholding AAAI 2020

Multi-Type Resource Allocation with Partial Preferences AAAI 2020

Optimal Statistical Hypothesis Testing for Social Choice UAI 2020

How Private Are Commonly-Used Voting Rules? UAI 2020

Near-Neighbor Methods in Random Preference Completion AAAI 2019

Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NIPS 2019

Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles AAAI 2019

Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking AAAI 2019

Learning Plackett-Luce Mixtures from Partial Preferences AAAI 2019

Equitable Allocations of Indivisible Goods IJCAI 2019

Minimizing Time-to-Rank: A Learning and Recommendation Approach IJCAI 2019

Composite Marginal Likelihood Methods for Random Utility Models ICML 2018

A Mathematical Model For Optimal Decisions In A Representative Democracy NIPS 2018

Thwarting Vote Buying Through Decoy Ballots IJCAI 2017

Improving Group Decision-Making by Artificial Intelligence IJCAI 2017

Learning Mixtures of Plackett-Luce Models ICML 2016

Allocating Indivisible Items in Categorized Domains IJCAI 2016

Possible and Necessary Allocations via Sequential Mechanisms IJCAI 2015

A Statistical Decision-Theoretic Framework for Social Choice NIPS 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 NIPS 2013

Random Utility Theory for Social Choice NIPS 2012