Ao Liu

According to our database, Ao Liu authored at least 20 papers between 2018 and 2023.

Collaborative distances:

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

2023

Smoothed Differential Privacy.

Ao Liu, Yu-Xiang Wang, Lirong Xia

Trans. Mach. Learn. Res., 2023

Trading Off Voting Axioms for Privacy.

Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang

CoRR, 2023

Accelerating Majority Voting by Quantum Computation.

Ao Liu, Lirong Xia, Nengkun Yu

CoRR, 2023

Accelerating Voting by Quantum Computation.

Ao Liu, Qishen Han, Lirong Xia, Nengkun Yu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

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

Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Differentially Private Condorcet Voting.

Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning to Design Fair and Private Voting Rules.

Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia

J. Artif. Intell. Res., 2022

Certifiably robust interpretation via Rényi differential privacy.

Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan

Artif. Intell., 2022

Learning Mixtures of Random Utility Models with Features from Incomplete Preferences.

Zhibing Zhao, Ao Liu, Lirong Xia

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

The Semi-random Likelihood of Doctrinal Paradoxes.

Ao Liu, Lirong Xia

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

How Private Are Commonly-Used Voting Rules?

Ao Liu, Yun Lu, Lirong Xia, Vassilis Zikas

IACR Cryptol. ePrint Arch., 2021

Truthful Information Elicitation from Hybrid Crowds.

Qishen Han, Sikai Ruan, Yuqing Kong, Ao Liu, Farhad Mohsin, Lirong Xia

CoRR, 2021

Smoothed Differential Privacy.

Ao Liu, Lirong Xia

CoRR, 2021

The Smoothed Likelihood of Doctrinal Paradoxes.

Ao Liu, Lirong Xia

CoRR, 2021

2020

Let It Snow: Adding pixel noise to protect the user's identity.

Brendan John, Ao Liu, Lirong Xia, Sanjeev J. Koppal, Eakta Jain

Proceedings of the ETRA '20 Adjunct: 2020 Symposium on Eye Tracking Research and Applications, 2020

2019

Differential privacy for eye-tracking data.

Ao Liu, Lirong Xia, Andrew T. Duchowski, Reynold Bailey, Kenneth Holmqvist, Eakta Jain

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019

Learning Plackett-Luce Mixtures from Partial Preferences.

Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Near-Neighbor Methods in Random Preference Completion.

Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Towards Non-Parametric Learning to Rank.

Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia

CoRR, 2018

How Private Is Your Voting? A Framework for Comparing the Privacy of Voting Mechanisms.

Ao Liu, Yun Lu, Lirong Xia, Vassilis Zikas

CoRR, 2018