Sheng Li

Sheng Li

University of Georgia

H-index: 40

North America-United States

About Sheng Li

Sheng Li, With an exceptional h-index of 40 and a recent h-index of 35 (since 2020), a distinguished researcher at University of Georgia, specializes in the field of Data Mining, Machine Learning, Causal Inference, Computer Vision.

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

Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks

Ufid: A unified framework for input-level backdoor detection on diffusion models

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract)

Open-Set Graph Domain Adaptation via Separate Domain Alignment

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs

Task-driven causal feature distillation: Towards trustworthy risk prediction

Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions

Sheng Li Information

University

Position

Assistant Professor of Computer Science

Citations(all)

5903

Citations(since 2020)

4847

Cited By

2671

hIndex(all)

40

hIndex(since 2020)

35

i10Index(all)

110

i10Index(since 2020)

100

Email

University Profile Page

Google Scholar

Sheng Li Skills & Research Interests

Data Mining

Machine Learning

Causal Inference

Computer Vision

Top articles of Sheng Li

Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks

arXiv preprint arXiv:2404.17511

2024/4/26

Pengsheng Ji
Pengsheng Ji

H-Index: 7

Sheng Li
Sheng Li

H-Index: 26

Ufid: A unified framework for input-level backdoor detection on diffusion models

arXiv preprint arXiv:2404.01101

2024/4/1

Sheng Li
Sheng Li

H-Index: 26

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation

arXiv preprint arXiv:2403.19584

2024/3/28

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract)

arXiv preprint arXiv:2305.03289

2023/5/5

Sheng Li
Sheng Li

H-Index: 26

Open-Set Graph Domain Adaptation via Separate Domain Alignment

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Task-driven causal feature distillation: Towards trustworthy risk prediction

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Longfei Li
Longfei Li

H-Index: 5

Sheng Li
Sheng Li

H-Index: 26

Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions

2024/2/16

Yuqi Wu
Yuqi Wu

H-Index: 1

Sheng Li
Sheng Li

H-Index: 26

Using explainable machine learning to uncover the kinase–substrate interaction landscape

Bioinformatics

2024/2/1

Beam mask and sliding window‐facilitated deep learning‐based accurate and efficient dose prediction for pencil beam scanning proton therapy

Medical physics

2024/2

Ada-VAD: Domain Adaptable Video Anomaly Detection

2024

Sheng Li
Sheng Li

H-Index: 26

DBRNet: Advancing Individual-Level Continuous Treatment Estimation through Disentangled and Balanced Representation

2023/10/13

Sheng Li
Sheng Li

H-Index: 26

Data-centric financial large language models

arXiv preprint arXiv:2310.17784

2023/10/7

Generating and utilizing classification and query-specific models to generate digital responses to queries from client device

2023/10/3

Continual causal inference with incremental observational data

2023/4/3

Stephen Rathbun
Stephen Rathbun

H-Index: 19

Sheng Li
Sheng Li

H-Index: 26

Artificial general intelligence (AGI) for education

2023/4

Trustworthy representation learning across domains

2023/8/23

See List of Professors in Sheng Li University(University of Georgia)

Co-Authors

academic-engine