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Ao Liu 0001
Person information
- unicode name: 刘奥
- affiliation: Google, Mountain View, CA, USA
- affiliation (PhD 2023): Rensselaer Polytechnic Institute, Troy, NY, USA
Other persons with the same name
- Ao Liu — disambiguation page
- Ao Liu 0002
— Wuhan University of Science and Technology, School of Management, Center for Service Science and Engineering, China
- Ao Liu 0003 — University of Massachusetts Amherst, College of Information and Computer Sciences, MA, USA
- Ao Liu 0004 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Ao Liu 0005
- Ao Liu 0006
- Ao Liu 0007
- Ao Liu 0008 — Tokyo Institute of Technology, Japan (and 1 more)
- Ao Liu 0009 — Zhejiang University, Institute of Power Machinery and Vehicular Engineering, Faculty of Engineering, Hangzhou, China
- Ao Liu 0010 — Tencent, T Lab, Beijing, China
- Ao Liu 0011
- Ao Liu 0012
- Ao Liu 0013
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2020 – today
- 2023
- [j3]Ao Liu, Yu-Xiang Wang, Lirong Xia:
Smoothed Differential Privacy. Trans. Mach. Learn. Res. 2023 (2023) - [c10]Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang:
Differentially Private Condorcet Voting. AAAI 2023: 5755-5763 - [c9]Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Learning to Design Fair and Private Voting Rules (Extended Abstract). IJCAI 2023: 6931-6936 - [c8]Ao Liu, Qishen Han, Lirong Xia, Nengkun Yu:
Accelerating Voting by Quantum Computation. UAI 2023: 1274-1283 - [i11]Ao Liu, Lirong Xia, Nengkun Yu:
Accelerating Majority Voting by Quantum Computation. CoRR abs/2301.02995 (2023) - [i10]Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang:
Trading Off Voting Axioms for Privacy. CoRR abs/2307.07219 (2023) - 2022
- [j2]Ao Liu
Certifiably robust interpretation via Rényi differential privacy. Artif. Intell. 313: 103787 (2022) - [j1]Farhad Mohsin
Learning to Design Fair and Private Voting Rules. J. Artif. Intell. Res. 75: 1139-1176 (2022) - [c7]Ao Liu, Lirong Xia:
The Semi-random Likelihood of Doctrinal Paradoxes. AAAI 2022: 5124-5132 - [c6]Zhibing Zhao, Ao Liu, Lirong Xia:
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences. IJCAI 2022: 3780-3786 - [i9]Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang:
Differentially Private Condorcet Voting. CoRR abs/2206.13081 (2022) - 2021
- [i8]Ao Liu, Lirong Xia:
The Smoothed Likelihood of Doctrinal Paradoxes. CoRR abs/2105.05138 (2021) - [i7]Ao Liu, Lirong Xia:
Smoothed Differential Privacy. CoRR abs/2107.01559 (2021) - [i6]Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan:
Certifiably Robust Interpretation via Renyi Differential Privacy. CoRR abs/2107.01561 (2021) - [i5]Qishen Han, Sikai Ruan, Yuqing Kong, Ao Liu, Farhad Mohsin, Lirong Xia:
Truthful Information Elicitation from Hybrid Crowds. CoRR abs/2107.10119 (2021) - [i4]Ao Liu, Yun Lu, Lirong Xia, Vassilis Zikas:
How Private Are Commonly-Used Voting Rules? IACR Cryptol. ePrint Arch. 2021: 392 (2021) - 2020
- [c5]Brendan John, Ao Liu, Lirong Xia
Let It Snow: Adding pixel noise to protect the user's identity. ETRA Adjunct 2020: 43:1-43:3 - [c4]Ao Liu, Yun Lu, Lirong Xia, Vassilis Zikas:
How Private Are Commonly-Used Voting Rules? UAI 2020: 629-638
2010 – 2019
- 2019
- [c3]Ao Liu, Zhibing Zhao, Chao Liao, Pinyan Lu, Lirong Xia:
Learning Plackett-Luce Mixtures from Partial Preferences. AAAI 2019: 4328-4335 - [c2]Ao Liu, Qiong Wu
Near-Neighbor Methods in Random Preference Completion. AAAI 2019: 4336-4343 - [c1]Ao Liu, Lirong Xia
Differential privacy for eye-tracking data. ETRA 2019: 28:1-28:10 - [i3]Ao Liu, Lirong Xia, Andrew T. Duchowski, Reynold Bailey, Kenneth Holmqvist, Eakta Jain:
Differential Privacy for Eye-Tracking Data. CoRR abs/1904.06809 (2019) - 2018
- [i2]Ao Liu, Yun Lu, Lirong Xia, Vassilis Zikas:
How Private Is Your Voting? A Framework for Comparing the Privacy of Voting Mechanisms. CoRR abs/1805.05750 (2018) - [i1]Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia:
Towards Non-Parametric Learning to Rank. CoRR abs/1807.03395 (2018)
Coauthor Index
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