Lifang He
Orcid: 0000-0001-7810-9071Affiliations:
- 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 153 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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on dl.acm.org
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Bibliography
2024
Robust multi-agent reinforcement learning via Bayesian distributional value estimation.
Pattern Recognit., January, 2024
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.
CoRR, 2024
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
IEEE Trans. Knowl. Data Eng., November, 2023
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Knowl. Data Eng., July, 2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2023
IEEE Trans. Knowl. Data Eng., March, 2023
Neurocomputing, March, 2023
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
IEEE Trans. Knowl. Data Eng., 2023
CoRR, 2023
CoRR, 2023
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.
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
Proceedings of the 31st ACM International Conference on Multimedia, 2023
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
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
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
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
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
ACM Trans. Intell. Syst. Technol., 2022
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
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
Knowl. Based Syst., 2022
Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease.
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
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
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
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
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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
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
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis.
CoRR, 2021
CoRR, 2021
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
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
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
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Knowl. Inf. Syst., 2020
CoRR, 2020
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
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
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
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
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018
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
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
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
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
CoRR, 2017
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
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
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Neural Comput. Appl., 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
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
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
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
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
IEEE Trans. Image Process., 2013
Neural Comput. Appl., 2013
The one-against-all partition based binary tree support vector machine algorithms for multi-class classification.
Neurocomputing, 2013