Xin Liu

Xin Liu

University of California, Davis

H-index: 52

North America-United States

About Xin Liu

Xin Liu, With an exceptional h-index of 52 and a recent h-index of 31 (since 2020), a distinguished researcher at University of California, Davis, specializes in the field of Computer networks, machine learning.

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

EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals

Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study

The AIFS Institute: Building a better food system through AI

Gait Event Detection and Travel Distance Using Waist-Worn Accelerometers across a Range of Speeds: Automated Approach

Gait characterization in duchenne muscular dystrophy (DMD) using a single-sensor accelerometer: classical machine learning and deep learning approaches

Client selection in federated learning: Principles, challenges, and opportunities

Auditing YouTube’s recommendation system for ideologically congenial, extreme, and problematic recommendations

Davis-ag: a synthetic plant dataset for developing domain-inspired active vision in agricultural robots

Xin Liu Information

University

Position

Professor of Compuer Science

Citations(all)

10994

Citations(since 2020)

3773

Cited By

8378

hIndex(all)

52

hIndex(since 2020)

31

i10Index(all)

134

i10Index(since 2020)

63

Email

University Profile Page

University of California, Davis

Google Scholar

View Google Scholar Profile

Xin Liu Skills & Research Interests

Computer networks

machine learning

Top articles of Xin Liu

Title

Journal

Author(s)

Publication Date

EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals

Proceedings of the AAAI Conference on Artificial Intelligence

Satyam Goyal

Kavya Sasikumar

Rohan Sheth

Akash Seelam

Taeyeong Choi

...

2024/3/24

Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study

arXiv preprint arXiv:2403.10499

Chenguang Wang

Ruoxi Jia

Xin Liu

Dawn Song

2024/3/15

The AIFS Institute: Building a better food system through AI

AI Magazine

Ilias Tagkopoulos

Mason J Earles

Danielle G Lemay

Xin Liu

Nitin Nitin

...

2024/3

Gait Event Detection and Travel Distance Using Waist-Worn Accelerometers across a Range of Speeds: Automated Approach

Sensors

Albara Ah Ramli

Xin Liu

Kelly Berndt

Chen-Nee Chuah

Erica Goude

...

2024/2/9

Gait characterization in duchenne muscular dystrophy (DMD) using a single-sensor accelerometer: classical machine learning and deep learning approaches

arXiv preprint arXiv:2105.06295

Albara Ah Ramli

Huanle Zhang

Jiahui Hou

Rex Liu

Xin Liu

...

2021/5/12

Client selection in federated learning: Principles, challenges, and opportunities

IEEE Internet of Things Journal (IoT-J)

Lei Fu

Huanle Zhang

Ge Gao

Huajie Wang

Mi Zhang

...

2023

Auditing YouTube’s recommendation system for ideologically congenial, extreme, and problematic recommendations

Proceedings of the National Academy of Sciences

Muhammad Haroon

Magdalena Wojcieszak

Anshuman Chhabra

Xin Liu

Prasant Mohapatra

...

2023/12/12

Davis-ag: a synthetic plant dataset for developing domain-inspired active vision in agricultural robots

arXiv preprint arXiv:2303.05764

Taeyeong Choi

Dario Guevara

Grisha Bandodkar

Zifei Cheng

Chonghan Wang

...

2023/3/10

Quantifying Causal Path-Specific Importance in Structural Causal Model

Computation

Xiaoxiao Wang

Minda Zhao

Fanyu Meng

Xin Liu

Zhaodan Kong

...

2023/7/7

Causal explanation for reinforcement learning: Quantifying state and temporal importance

Applied Intelligence

Xiaoxiao Wang

Fanyu Meng

Xin Liu

Zhaodan Kong

Xin Chen

2023/10

Federated Learning Hyper-Parameter Tuning From A System Perspective

IEEE Internet of Things Journal

Huanle Zhang

Lei Fu

Mi Zhang

Pengfei Hu

Xiuzhen Cheng

...

2023/3/8

A Two-Stage GCN-Based Deep Reinforcement Learning Framework for SFC Embedding in Multi-Datacenter Networks

IEEE Transactions on Network and Service Management

Da Xiao

J Andrew Zhang

Xin Liu

Yiwen Qu

Wei Ni

...

2023/6/8

On the impact of label noise in federated learning

Shuqi Ke

Chao Huang

Xin Liu

2023/8/24

Constrained Reinforcement Learning for Autonomous Farming: Challenges and Opportunities

Yongshuai Liu

Taeyeong Choi

Xin Liu

2023

Accuracy-privacy trade-off in deep ensemble: A membership inference perspective

Shahbaz Rezaei

Zubair Shafiq

Xin Liu

2021/5/12

Uncovering the Gut–Liver Axis Biomarkers for Predicting Metabolic Burden in Mice

Nutrients

Guiyan Yang

Rex Liu

Shahbaz Rezaei

Xin Liu

Yu-Jui Yvonne Wan

2023/7/31

Adventurer: Exploration with BiGAN for Deep Reinforcement Learning

Applied Intelligence

Yongshuai Liu

Xin Liu

2023

Machine learning on visibility graph features discriminates the cognitive event-related potentials of patients with early alzheimer’s disease from healthy aging

Brain Sciences

Jesse Zhang

Jiangyi Xia

Xin Liu

John Olichney

2023/5/7

Duopoly business competition in cross-silo federated learning

IEEE Transactions on Network Science and Engineering

Chao Huang

Shuqi Ke

Xin Liu

2023/7/31

MASTAF: a model-agnostic spatio-temporal attention fusion network for few-shot video classification

Xin Liu

Huanle Zhang

Hamed Pirsiavash

2023

See List of Professors in Xin Liu University(University of California, Davis)