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Yonghui Xiao
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2020 – today
- 2024
- [c12]Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio López-Moreno, Mingqing Chen, Rajiv Mathews:
FedAQT: Accurate Quantized Training with Federated Learning. ICASSP 2024: 6100-6104 - [i15]Yonghui Xiao, Yuxin Ding, Changwan Ryu, Petr Zadrazil, Françoise Beaufays:
Federated Learning of Large ASR Models in the Real World. CoRR abs/2408.10443 (2024) - [i14]Xuan Kan, Yonghui Xiao, Tien-Ju Yang, Nanxin Chen, Rajiv Mathews:
Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition. CoRR abs/2408.11873 (2024) - 2023
- [c11]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. ICASSP 2023: 1-5 - 2022
- [c10]Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta:
Enabling On-Device Training of Speech Recognition Models With Federated Dropout. ICASSP 2022: 8757-8761 - [c9]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH 2022: 1701-1705 - [i13]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. CoRR abs/2205.03494 (2022) - [i12]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR abs/2209.06359 (2022) - 2021
- [j11]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. IEEE Trans. Knowl. Data Eng. 33(8): 3141-3154 (2021) - [i11]Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta:
Enabling On-Device Training of Speech Recognition Models with Federated Dropout. CoRR abs/2110.03634 (2021) - 2020
- [j10]Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa:
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. Proc. VLDB Endow. 13(12): 3001-3004 (2020) - [c8]Qiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou, Li Xiong:
Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. IEEE BigData 2020: 1061-1070 - [c7]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. ESORICS (1) 2020: 655-676 - [i10]Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa:
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. CoRR abs/2005.00186 (2020) - [i9]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
Customizable and Rigorous Location Privacy through Policy Graph. CoRR abs/2005.01263 (2020)
2010 – 2019
- 2019
- [j9]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. Proc. VLDB Endow. 12(12): 1866-1869 (2019) - [j8]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations. IEEE Trans. Knowl. Data Eng. 31(7): 1281-1295 (2019) - [j7]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations". IEEE Trans. Knowl. Data Eng. 31(11): 2234 (2019) - [c6]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai:
PriSTE: From Location Privacy to Spatiotemporal Event Privacy. ICDE 2019: 1606-1609 - [i8]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. CoRR abs/1907.10814 (2019) - 2018
- [j6]Yang Cao, Li Xiong, Masatoshi Yoshikawa, Yonghui Xiao, Si Zhang:
ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release. Proc. VLDB Endow. 11(12): 2090-2093 (2018) - [i7]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai:
PriSTE: From Location Privacy to Spatiotemporal Event Privacy. CoRR abs/1810.09152 (2018) - 2017
- [j5]Yonghui Xiao, Li Xiong, Si Zhang, Yang Cao:
LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model. Proc. VLDB Endow. 10(12): 1901-1904 (2017) - [c5]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy under Temporal Correlations. ICDE 2017: 821-832 - [i6]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations. CoRR abs/1711.11436 (2017) - 2016
- [c4]Xiaofeng Xu, Li Xiong, Vaidy S. Sunderam, Yonghui Xiao:
A Markov chain based pruning method for predictive range queries. SIGSPATIAL/GIS 2016: 16:1-16:10 - [i5]Yonghui Xiao, Yilin Shen, Jinfei Liu, Li Xiong, Hongxia Jin, Xiaofeng Xu:
DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model. CoRR abs/1609.09172 (2016) - [i4]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy under Temporal Correlations. CoRR abs/1610.07543 (2016) - 2015
- [c3]Yonghui Xiao, Li Xiong:
Protecting Locations with Differential Privacy under Temporal Correlations. CCS 2015: 1298-1309 - 2014
- [j4]Yonghui Xiao, Li Xiong, Liyue Fan, Slawomir Goryczka, Haoran Li:
DPCube: Differentially Private Histogram Release through Multidimensional Partitioning. Trans. Data Priv. 7(3): 195-222 (2014) - [i3]Yonghui Xiao, Li Xiong:
Dynamic Differential Privacy for Location based Applications. CoRR abs/1410.5919 (2014) - 2013
- [j3]James J. Gardner, Li Xiong, Yonghui Xiao, Jingjing Gao, Andrew R. Post, Xiaoqian Jiang, Lucila Ohno-Machado:
SHARE: system design and case studies for statistical health information release. J. Am. Medical Informatics Assoc. 20(1): 109-116 (2013) - 2012
- [c2]Yonghui Xiao, James J. Gardner, Li Xiong:
DPCube: Releasing Differentially Private Data Cubes for Health Information. ICDE 2012: 1305-1308 - [i2]Yonghui Xiao, Li Xiong, Liyue Fan, Slawomir Goryczka:
DPCube: Differentially Private Histogram Release through Multidimensional Partitioning. CoRR abs/1202.5358 (2012) - [i1]Yonghui Xiao, Li Xiong:
Online query answering with differential privacy: a utility-driven approach using Bayesian inference. CoRR abs/1203.0617 (2012) - 2010
- [c1]Yonghui Xiao, Li Xiong, Chun Yuan:
Differentially Private Data Release through Multidimensional Partitioning. Secure Data Management 2010: 150-168
1990 – 1999
- 1992
- [j2]Lu Xu, Yonghui Xiao, Deqian Li:
An expert system for solvent extraction of rare earths. J. Chem. Inf. Comput. Sci. 32(5): 437-442 (1992) - 1991
- [j1]Lu Xu, Guoquan Li, Shuyun Wang, Hong Lu, Huayun Wang, Chang-Yu Hu, Xuhong Jiang, Yonghui Xiao, Yunde Xiao, Xiangyu Lu:
CIAC comprehensive information system of rare earths. J. Chem. Inf. Comput. Sci. 31(3): 375-380 (1991)
Coauthor Index
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