Lifang He

Assistant Professor

Lehigh University

United States

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About

Dr. Lifang He is an Assistant Professor at Lehigh University, USA. His current research areas include multi-modal isolated sign language recognition, graph clustering, and deep learning methodologies applied to anomaly detection and Alzheimer's disease diagnosis. He has authored several recent articles focusing on innovative approaches in multi-view representation learning and few-shot learning for knowledge graph reasoning.

Lifang He

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Articles (18)

Multi-modal isolated sign language recognition based on self-paced learning

Variational Graph Generator for Multiview Graph Clustering

Learning to predict rare events: the case of abnormal grain growth

Deep Clustering: A Comprehensive Survey

Multi-Modal Diagnosis of Alzheimer’s Disease using Interpretable Graph Convolutional Networks

Self-Weighted Contrastive Fusion for Deep Multi-View Clustering

BayesKGR: Bayesian Few-Shot Learning for Knowledge Graph Reasoning

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

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

Development and Application of a Comprehensive Measure of Access to Health Services to Examine COVID-19 Health Disparities

A Robust and Generalized Framework for Adversarial Graph Embedding

Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization

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

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering

HBcompare: Classifying Ligand Binding Preferences with Hydrogen Bond Topology

Intelligent classification of antenatal cardiotocography signals via multimodal bidirectional gated recurrent units

Federated Multi-view Learning for Private Medical Data Integration and Analysis

Deep learning for drug repurposing: Methods, databases, and applications

Collaborators (6)

Liang Zhan

Karmel S. Shehadeh

Li Shen

Brian Y Chen

Yifei LIN

Alex Leow

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