Li Xiong

Li Xiong

Emory & Henry College

H-index: 52

North America-United States

About Li Xiong

Li Xiong, With an exceptional h-index of 52 and a recent h-index of 40 (since 2020), a distinguished researcher at Emory & Henry College, specializes in the field of Machine learning, privacy enhancing technology, AI for health, mobility data.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes

IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity

DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps

Cross-silo Federated Learning with Record-level Personalized Differential Privacy

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning

Advancing differential privacy: Where we are now and future directions for real-world deployment

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model

Li Xiong Information

University

Position

Professor Computer Science Biomedical Informatics

Citations(all)

16548

Citations(since 2020)

9573

Cited By

9401

hIndex(all)

52

hIndex(since 2020)

40

i10Index(all)

137

i10Index(since 2020)

106

Email

University Profile Page

Emory & Henry College

Google Scholar

View Google Scholar Profile

Li Xiong Skills & Research Interests

Machine learning

privacy enhancing technology

AI for health

mobility data

Top articles of Li Xiong

Title

Journal

Author(s)

Publication Date

Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes

Haowen Lin

Yao-Yi Chiang

Li Xiong

Cyrus Shahabi

2024

IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity

Proceedings of the AAAI Conference on Artificial Intelligence

Wenjie Wang

Pengfei Tang

Jian Lou

Yuanming Shao

Lance Waller

...

2024/3/24

DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy

Qiuchen Zhang

Hong kyu Lee

Jing Ma

Jian Lou

Carl Yang

...

2024

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps

arXiv preprint arXiv:2403.09562

Ruixuan Liu

Tianhao Wang

Yang Cao

Li Xiong

2024/3/14

Cross-silo Federated Learning with Record-level Personalized Differential Privacy

arXiv preprint arXiv:2401.16251

Junxu Liu

Jian Lou

Li Xiong

Jinfei Liu

Xiaofeng Meng

2024/1/29

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning

arXiv preprint arXiv:2401.10458

Qiuchen Zhang

Carl Yang

Jian Lou

Li Xiong

2024/1/19

Advancing differential privacy: Where we are now and future directions for real-world deployment

Rachel Cummings

Damien Desfontaines

David Evans

Roxana Geambasu

Yangsibo Huang

...

2024/1/16

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model

AAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence

Yixuan Liu

Suyun Zhao

Li Xiong

Yuhan Liu

Hong Chen

2023/4/11

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum

arXiv preprint arXiv:2306.12608

Xiaolan Gu

Ming Li

Li Xiong

2023/6/22

ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy

arXiv preprint arXiv:2308.12210

Fumiyuki Kato

Li Xiong

Shun Takagi

Yang Cao

Masatoshi Yoshikawa

2023/8/23

Supporting Pandemic Preparedness with Privacy Enhancing Technology

Ruixuan Liu

Sepanta Zeighami

Haowen Lin

Cyrus Shahabi

Yang Cao

...

2023/11/1

Dynamic shapley value computation

Jiayao Zhang

Haocheng Xia

Qiheng Sun

Jinfei Liu

Li Xiong

...

2023/4/3

Towards mobility data science (vision paper)

arXiv preprint arXiv:2307.05717

Mohamed Mokbel

Mahmoud Sakr

Li Xiong

Andreas Züfle

Jussara Almeida

...

2023/6/21

Shapleyfl: Robust federated learning based on shapley value

Qiheng Sun

Xiang Li

Jiayao Zhang

Li Xiong

Weiran Liu

...

2023/8/6

Personalized Differentially Private Federated Learning without Exposing Privacy Budgets

Junxu Liu

Jian Lou

Li Xiong

Xiaofeng Meng

2023/10/21

EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies

Qiongqiong Lin

Yunfan Gu

Jingyan Sai

Jinfei Liu

Kui Ren

...

2023/4/3

Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection

Journal of the American Medical Informatics Association

Sivasubramanium V Bhavani

Li Xiong

Abish Pius

Matthew Semler

Edward T Qian

...

2023/6/1

Classification auto-encoder based detector against diverse data poisoning attacks

Fereshteh Razmi

Li Xiong

2023/7/12

Closed-form machine unlearning for matrix factorization

Shuijing Zhang

Jian Lou

Li Xiong

Xiaoyu Zhang

Jing Liu

2023/10/21

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping

Yifei Ren

Jian Lou

Li Xiong

Joyce C Ho

Xiaoqian Jiang

...

2023/12/4

See List of Professors in Li Xiong University(Emory & Henry College)

Co-Authors

H-index: 110
Jian Pei

Jian Pei

Simon Fraser University

H-index: 83
Ling Liu

Ling Liu

Georgia Institute of Technology

H-index: 76
Cyrus Shahabi

Cyrus Shahabi

University of Southern California

H-index: 70
Lucila Ohno-Machado

Lucila Ohno-Machado

University of California, San Diego

H-index: 58
Benjamin C. M. Fung

Benjamin C. M. Fung

McGill University

H-index: 55
Vicki Stover Hertzberg

Vicki Stover Hertzberg

Emory University

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