Lifang He

Orcid: 0000-0001-7810-9071

Affiliations:
  • Lehigh University, Bethlehem, PA, USA
  • University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics, Philadelphia, PA, USA
  • Cornell University, Weill Cornell Medical College, New York, NY, USA (former)
  • Shenzhen University, School of Computer Science and Software Engineering, Computer Vision Institute, China (former)
  • South China Institute of Technology, School of Computer Science and Engineering, Guangzhou, China (PhD 2014)


According to our database1, Lifang He authored at least 170 papers between 2013 and 2024.

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Bibliography

2024
Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Robust multi-agent reinforcement learning via Bayesian distributional value estimation.
Pattern Recognit., January, 2024

Self-Weighted Contrastive Fusion for Deep Multi-View Clustering.
IEEE Trans. Multim., 2024

A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis.
Trans. Mach. Learn. Res., 2024

A novel federated multi-view clustering method for unaligned and incomplete data fusion.
Inf. Fusion, 2024

A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning.
Expert Syst. Appl., 2024

SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering.
CoRR, 2024

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation.
CoRR, 2024

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos.
CoRR, 2024

Bora: Biomedical Generalist Video Generation Model.
CoRR, 2024

ViT-1.58b: Mobile Vision Transformers in the 1-bit Era.
CoRR, 2024

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
CoRR, 2024

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework.
CoRR, 2024

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.
CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.
CoRR, 2024

Semi-Supervised Clustering via Structural Entropy with Different Constraints.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Integrating Vision-Language Semantic Graphs in Multi-View Clustering.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dynamic Weighted Graph Fusion for Deep Multi-View Clustering.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024


Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications.
IEEE Trans. Knowl. Data Eng., December, 2023

A Robust and Generalized Framework for Adversarial Graph Embedding.
IEEE Trans. Knowl. Data Eng., November, 2023

Adversarial Attack and Defense on Graph Data: A Survey.
IEEE Trans. Knowl. Data Eng., August, 2023

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., July, 2023

BayesKGR: Bayesian Few-Shot Learning for Knowledge Graph Reasoning.
ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2023

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
IEEE Trans. Knowl. Data Eng., March, 2023

DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation.
Neurocomputing, March, 2023

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks.
IEEE Trans. Medical Imaging, February, 2023

Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding.
J. Am. Medical Informatics Assoc., February, 2023

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., 2023

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V.
CoRR, 2023

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.
CoRR, 2023

A Comparison of Image Denoising Methods.
CoRR, 2023

Self-Paced Neutral Expression-Disentangled Learning for Facial Expression Recognition.
CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generative Neutral Features-Disentangled Learning for Facial Expression Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Federated Deep Multi-View Clustering with Global Self-Supervision.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Hierarchical State Abstraction based on Structural Information Principles.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Deep Multi-view Subspace Clustering with Anchor Graph.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2023

Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Dual Label-Guided Graph Refinement for Multi-View Graph Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Survey on Text Classification: From Traditional to Deep Learning.
ACM Trans. Intell. Syst. Technol., 2022

Federated Multi-view Learning for Private Medical Data Integration and Analysis.
ACM Trans. Intell. Syst. Technol., 2022

Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data.
IEEE Trans. Ind. Informatics, 2022

Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks.
IEEE Trans. Computers, 2022

Deep reinforcement learning guided graph neural networks for brain network analysis.
Neural Networks, 2022

A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification.
Multim. Tools Appl., 2022

Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data.
Knowl. Based Syst., 2022

Cross-knowledge-graph entity alignment via relation prediction.
Knowl. Based Syst., 2022

Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease.
CoRR, 2022

Variational Graph Generator for Multi-View Graph Clustering.
CoRR, 2022

Deep Clustering: A Comprehensive Survey.
CoRR, 2022

Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis.
CoRR, 2022

Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs.
CoRR, 2022

Deep learning for drug repurposing: methods, databases, and applications.
CoRR, 2022

Task Modifiers for HTN Planning and Acting.
CoRR, 2022

Intelligent classification of antenatal cardiotocography signals via multimodal bidirectional gated recurrent units.
Biomed. Signal Process. Control., 2022

Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Structure-Preserving Graph Kernel for Brain Network Classification.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Shared-Attribute Multi-Graph Clustering with Global Self-Attention.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration.
Proceedings of the IEEE International Conference on Data Mining, 2022

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Multi-level Feature Learning for Contrastive Multi-view Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).
Proceedings of the IEEE International Conference on Big Data, 2022

Tensor-Based Multi-Modal Multi-Target Regression for Alzheimer's Disease Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Multi-View Brain Network Analysis with Cross-View Missing Network Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types.
IEEE Trans. Knowl. Data Eng., 2021

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., 2021

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks.
ACM Trans. Knowl. Discov. Data, 2021

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning.
Neural Networks, 2021

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning.
Inf. Sci., 2021

Multiplex Graph Networks for Multimodal Brain Network Analysis.
CoRR, 2021

BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis.
CoRR, 2021

Contrastive Multi-Modal Clustering.
CoRR, 2021

Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities.
CoRR, 2021

Federated Multi-View Learning for Private Medical Data Integration and Analysis.
CoRR, 2021

Federated Depression Detection from Multi-SourceMobile Health Data.
CoRR, 2021

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Non-Linear Fusion for Self-Paced Multi-View Clustering.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Outlier-Robust Multi-View Subspace Clustering with Prior Constraints.
Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adversarial Directed Graph Embedding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
CAMAR: a broad learning based context-aware recommender for mobile applications.
Knowl. Inf. Syst., 2020

A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods.
CoRR, 2020

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks.
CoRR, 2020

Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market.
CoRR, 2020

Adversarial Directed Graph Embedding.
CoRR, 2020

A Survey on Text Classification: From Shallow to Deep Learning.
CoRR, 2020

Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Heterogeneous Similarity Graph Neural Network on Electronic Health Records.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-view collective tensor decomposition for cross-modal hashing.
Int. J. Multim. Inf. Retr., 2019

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
CoRR, 2019

Coupled Tensor Decomposition for User Clustering in Mobile Internet Traffic Interaction Pattern.
IEEE Access, 2019

Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MARS: Memory Attention-Aware Recommender System.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018
MARS: Memory Attention-Aware Recommender System.
CoRR, 2018

Learning from Multi-View Multi-Way Data via Structural Factorization Machines.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

On Spectral Graph Embedding: A Non-Backtracking Perspective and Graph Approximation.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Boosted Sparse and Low-Rank Tensor Regression.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-view Collective Tensor Decomposition for Cross-modal Hashing.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Multi-View Fusion Through Cross-Modal Retrieval.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Self-Organizing Tensor Architecture for Multi-view Clustering.
Proceedings of the IEEE International Conference on Data Mining, 2018

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

PER: A Probabilistic Attentional Model for Personalized Text Recommendations.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease.
Proceedings of the AMIA 2018, 2018

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data.
ACM Trans. Inf. Syst., 2017

Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach.
Data Min. Knowl. Discov., 2017

Learning from Multi-View Structural Data via Structural Factorization Machines.
CoRR, 2017

Multilinear Factorization Machines for Multi-Task Multi-View Learning.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

t-BNE: Tensor-based Brain Network Embedding.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Structural Deep Brain Network Mining.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Kernelized Support Tensor Machines.
Proceedings of the 34th International Conference on Machine Learning, 2017

Multi-view Graph Embedding with Hub Detection for Brain Network Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Broad Learning Approach for Context-Aware Mobile Application Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-way Multi-level Kernel Modeling for Neuroimaging Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Broad Learning based Multi-Source Collaborative Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Multi-view Clustering with Graph Embedding for Connectome Analysis.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Contaminant removal for Android malware detection systems.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Error-robust multi-view clustering.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Intrusive tumor growth inspired optimization algorithm for data clustering.
Neural Comput. Appl., 2016

Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Trust Hole Identification in Signed Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Estimating Urban Traffic Congestions with Multi-sourced Data.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Joint Community and Structural Hole Spanner Detection via Harmonic Modularity.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Multi-source Multi-view Clustering via discrepancy penalty.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Item Recommendation for Emerging Online Businesses.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Online Unsupervised Multi-view Feature Selection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Online multi-view clustering with incomplete views.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
A Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised Classification.
IEEE Trans. Image Process., 2015

A bilateral-truncated-loss based robust support vector machine for classification problems.
Soft Comput., 2015

Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with L<sub>2</sub>, 1 Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Citywide traffic congestion estimation with social media.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

The Unsupervised Hierarchical Convolutional Sparse Auto-Encoder for Neuroimaging Data Classification.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2014
A robust least squares support vector machine for regression and classification with noise.
Neurocomputing, 2014

A GA-based feature selection and parameter optimization for linear support higher-order tensor machine.
Neurocomputing, 2014

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
A Linear Support Higher-Order Tensor Machine for Classification.
IEEE Trans. Image Process., 2013

An adaptive class pairwise dimensionality reduction algorithm.
Neural Comput. Appl., 2013

The one-against-all partition based binary tree support vector machine algorithms for multi-class classification.
Neurocomputing, 2013


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