CIAC comprehensive information system of rare earths. - Lu Xu; Guoquan Li; Shuyun Wang; Hong Lu; Huayun Wang; Chang-Yu Hu; Xuhong Jiang; Yonghui Xiao; Yunde Xiao; Xiangyu Lu (J. Chem. Inf. Comput. Sci., 1991)

An expert system for solvent extraction of rare earths. - Lu Xu; Yonghui Xiao; Deqian Li (J. Chem. Inf. Comput. Sci., 1992)

Differentially Private Data Release through Multidimensional Partitioning. - Yonghui Xiao; Li Xiong 001; Chun Yuan (Secure Data Management, 2010)

DPCube: Releasing Differentially Private Data Cubes for Health Information. - Yonghui Xiao; James J. Gardner; Li Xiong 001 (ICDE, 2012)

DPCube: Differentially Private Histogram Release through Multidimensional Partitioning - Yonghui Xiao; Li Xiong 001; Liyue Fan; Slawomir Goryczka (CoRR, 2012)

Online query answering with differential privacy: a utility-driven approach using Bayesian inference - Yonghui Xiao; Li Xiong 001 (CoRR, 2012)

SHARE: system design and case studies for statistical health information release. - James J. Gardner; Li Xiong 001; Yonghui Xiao; Jingjing Gao; Andrew R. Post; Xiaoqian Jiang; Lucila Ohno-Machado (J. Am. Medical Informatics Assoc., 2013)

Dynamic Differential Privacy for Location based Applications. - Yonghui Xiao; Li Xiong 001 (CoRR, 2014)

DPCube: Differentially Private Histogram Release through Multidimensional Partitioning. - Yonghui Xiao; Li Xiong 001; Liyue Fan; Slawomir Goryczka; Haoran Li (Trans. Data Priv., 2014)

Protecting Locations with Differential Privacy under Temporal Correlations. - Yonghui Xiao; Li Xiong 001 (CCS, 2015)

A Markov chain based pruning method for predictive range queries. - Xiaofeng Xu; Li Xiong 001; Vaidy S. Sunderam; Yonghui Xiao (SIGSPATIAL/GIS, 2016)

DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model. - Yonghui Xiao; Yilin Shen; Jinfei Liu; Li Xiong 001; Hongxia Jin; Xiaofeng Xu (CoRR, 2016)

Quantifying Differential Privacy under Temporal Correlations. - Yang Cao 011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 001 (ICDE, 2017)

LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model. - Yonghui Xiao; Li Xiong 001; Si Zhang; Yang Cao 011 (Proc. VLDB Endow., 2017)

ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release. - Yang Cao 011; Li Xiong 001; Masatoshi Yoshikawa; Yonghui Xiao; Si Zhang (Proc. VLDB Endow., 2018)

PriSTE: From Location Privacy to Spatiotemporal Event Privacy. - Yang Cao 011; Yonghui Xiao; Li Xiong 001; Liquan Bai (ICDE, 2019)

PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. - Yang Cao 011; Yonghui Xiao; Li Xiong 001; Liquan Bai; Masatoshi Yoshikawa (Proc. VLDB Endow., 2019)

Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations. - Yang Cao 011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 001 (IEEE Trans. Knowl. Data Eng., 2019)

Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations". - Yang Cao 011; Masatoshi Yoshikawa; Yonghui Xiao; Li Xiong 001 (IEEE Trans. Knowl. Data Eng., 2019)

Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. - Qiuchen Zhang; Jing Ma 005; Yonghui Xiao; Jian Lou 001; Li Xiong 001 (IEEE BigData, 2020)

PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. - Yang Cao 011; Yonghui Xiao; Shun Takagi; Li Xiong 001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu (ESORICS (1), 2020)

Customizable and Rigorous Location Privacy through Policy Graph. - Yang Cao 011; Yonghui Xiao; Shun Takagi; Li Xiong 001; Masatoshi Yoshikawa; Yilin Shen; Jinfei Liu; Hongxia Jin; Xiaofeng Xu (CoRR, 2020)

PANDA: Policy-aware Location Privacy for Epidemic Surveillance. - Yang Cao 011; Shun Takagi; Yonghui Xiao; Li Xiong 001; Masatoshi Yoshikawa (Proc. VLDB Endow., 2020)

Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. - Yang Cao 011; Yonghui Xiao; Li Xiong 001; Liquan Bai; Masatoshi Yoshikawa (IEEE Trans. Knowl. Data Eng., 2021)

Enabling On-Device Training of Speech Recognition Models With Federated Dropout. - Dhruv Guliani; Lillian Zhou; Changwan Ryu; Tien-Ju Yang; Harry Zhang; Yonghui Xiao; Françoise Beaufays; Giovanni Motta (ICASSP, 2022)

Federated Pruning: Improving Neural Network Efficiency with Federated Learning. - Rongmei Lin; Yonghui Xiao; Tien-Ju Yang; Ding Zhao; Li Xiong 001; Giovanni Motta; Françoise Beaufays (INTERSPEECH, 2022)

Online Model Compression for Federated Learning with Large Models. - Tien-Ju Yang; Yonghui Xiao; Giovanni Motta; Françoise Beaufays; Rajiv Mathews; Mingqing Chen (ICASSP, 2023)

FedAQT: Accurate Quantized Training with Federated Learning. - Renkun Ni; Yonghui Xiao; Phoenix Meadowlark; Oleg Rybakov; Tom Goldstein; Ananda Theertha Suresh; Ignacio López-Moreno; Mingqing Chen; Rajiv Mathews (ICASSP, 2024)

Federated Learning of Large ASR Models in the Real World. - Yonghui Xiao; Yuxin Ding; Changwan Ryu; Petr Zadrazil; Françoise Beaufays (CoRR, 2024)

Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition. - Xuan Kan; Yonghui Xiao; Tien-Ju Yang; Nanxin Chen; Rajiv Mathews (CoRR, 2024)