Lifang He

Lifang He

Lehigh University

H-index: 42

North America-United States

About Lifang He

Lifang He, With an exceptional h-index of 42 and a recent h-index of 39 (since 2020), a distinguished researcher at Lehigh University, specializes in the field of Machine Learning, Data Mining, Tensor Analysis, Medical Image Computing, Bioinformatics.

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

TrustLLM: Trustworthiness in Large Language Models

A novel federated multi-view clustering method for unaligned and incomplete data fusion

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Self-Weighted Contrastive Fusion for Deep Multi-View Clustering

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering

A novel approach for effective multi-view clustering with information-theoretic perspective

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning

Lifang He Information

University

Position

Assistant Professor of Computer Science

Citations(all)

5292

Citations(since 2020)

4646

Cited By

1494

hIndex(all)

42

hIndex(since 2020)

39

i10Index(all)

89

i10Index(since 2020)

85

Email

University Profile Page

Lehigh University

Google Scholar

View Google Scholar Profile

Lifang He Skills & Research Interests

Machine Learning

Data Mining

Tensor Analysis

Medical Image Computing

Bioinformatics

Top articles of Lifang He

Title

Journal

Author(s)

Publication Date

TrustLLM: Trustworthiness in Large Language Models

arXiv preprint arXiv:2401.05561

Lichao Sun

Yue Huang

Haoran Wang

Siyuan Wu

Qihui Zhang

...

2024/1/10

A novel federated multi-view clustering method for unaligned and incomplete data fusion

Information Fusion

Yazhou Ren

Xinyue Chen

Jie Xu

Jingyu Pu

Yonghao Huang

...

2024/8/1

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Yixin Liu

Kai Zhang

Yuan Li

Zhiling Yan

Chujie Gao

...

2024/2/27

Self-Weighted Contrastive Fusion for Deep Multi-View Clustering

IEEE Transactions on Multimedia

Song Wu

Yan Zheng

Yazhou Ren

Jing He

Xiaorong Pu

...

2024/4/16

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering

arXiv preprint arXiv:2401.02682

Zichen Wen

Yawen Ling

Yazhou Ren

Tianyi Wu

Jianpeng Chen

...

2024/1/5

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering

Jingyu Pu

Chenhang Cui

Xinyue Chen

Yazhou Ren*

Xiaorong Pu

...

2024/2

A novel approach for effective multi-view clustering with information-theoretic perspective

Advances in Neural Information Processing Systems

Chenhang Cui

Yazhou Ren

Jingyu Pu

Jiawei Li

Xiaorong Pu

...

2024/2/13

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning

Expert Systems with Applications

Xinqi Du

Hechang Chen

Yongheng Xing

S Yu Philip

Lifang He

2024/7/1

Robust multi-agent reinforcement learning via Bayesian distributional value estimation

Pattern Recognition

Xinqi Du

Hechang Chen

Che Wang

Yongheng Xing

Jielong Yang

...

2024/1/1

Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications

Biomedical microdevices

Leonardo Ricotti

Arianna Menciassi

Keisuke Morishima

2012/12

Risk prediction: Methods, Challenges, and Opportunities

Ruowang Li

Rui Duan

Lifang He

Jason H Moore

2023

Comprehensive multiview representation learning via deep autoencoder-like nonnegative matrix factorization

IEEE Transactions on Neural Networks and Learning Systems

Haonan Huang

Guoxu Zhou

Qibin Zhao

Lifang He

Shengli Xie

2023/9/6

Normative modeling via conditional variational autoencoder and adversarial learning to identify brain dysfunction in alzheimer’s disease

Xuetong Wang

Rong Zhou

Kanhao Zhao

Alex Leow

Yu Zhang

...

2023

Deep multi-view subspace clustering with anchor graph

arXiv preprint arXiv:2305.06939

Chenhang Cui

Yazhou Ren

Jingyu Pu

Xiaorong Pu

Lifang He

2023/5/11

Dual label-guided graph refinement for multi-view graph clustering

Proceedings of the AAAI Conference on Artificial Intelligence

Yawen Ling

Jianpeng Chen

Yazhou Ren

Xiaorong Pu

Jie Xu

...

2023/6/26

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

IEEE transactions on medical imaging

Hejie Cui

Wei Dai

Yanqiao Zhu

Xuan Kan

Antonio Aodong Chen Gu

...

2022/11/1

A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis

Transactions on Machine Learning Research

Jun Yu

Zhaoming Kong

Kun Chen

Xin Zhang

Yong Chen

...

2023/6/12

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V

arXiv preprint arXiv:2310.19061

Zhiling Yan

Kai Zhang

Rong Zhou

Lifang He

Xiang Li

...

2023/10/29

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs

IEEE ICDM

Guangjie Zeng

Hao Peng

Angsheng Li

Zhiwei Liu

Chunyang Liu

...

2023/9/5

Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding

Journal of the American Medical Informatics Association

Yucheng Jin

Yun Xiong

Dan Shi

Yifei Lin

Lifang He

...

2023/3/1

See List of Professors in Lifang He University(Lehigh University)

Co-Authors

H-index: 194
Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

H-index: 80
Fei Wang, FAMIA, FIAHSI, FACMI

Fei Wang, FAMIA, FIAHSI, FACMI

Cornell University

H-index: 50
Yu Zhang

Yu Zhang

Lehigh University

H-index: 49
Alex Leow MDPhD

Alex Leow MDPhD

University of Illinois at Chicago

H-index: 41
Jiayu Zhou

Jiayu Zhou

Michigan State University

H-index: 38
Xiangnan Kong

Xiangnan Kong

Worcester Polytechnic Institute

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