Lifang He
Lifang He
Assistant Professor of Computer Science, Lehigh University
Verified email at - Homepage
Cited by
Cited by
A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
C Zhou, Q Li, C Li, J Yu, Y Liu, G Wang, K Zhang, C Ji, Q Yan, L He, ...
arXiv preprint arXiv:2302.09419, 2023
Adversarial Attack and Defense on Graph Data: A Survey
L Sun, Y Dou, Y Carl, J Wang, PS Yu, L He, B Li
arXiv preprint arXiv:1812.10528, 2018
Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with Regularization
W Shao, L He, SY Philip
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
A survey on text classification: From traditional to deep learning
Q Li, H Peng, J Li, C Xia, R Yang, L Sun, PS Yu, L He
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-41, 2022
A Survey on Text Classification: From Shallow to Deep Learning
Q Li, H Peng, J Li, C Xia, R Yang, L Sun, PS Yu, L He
arXiv preprint arXiv:2008.00364, 2020
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
Y Liu, Y Wan, L He, H Peng, PS Yu
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
H Peng, J Li, S Wang, L Wang, Q Gong, R Yang, B Li, PS Yu, L He
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Dynamic Graph Convolutional Network for Long-Term Traffic Flow Prediction with Reinforcement Learning
H Peng, B Du, M Liu, M Liu, S Ji, S Wang, X Zhang, L He
Information Sciences, 2021
Fedgraphnn: A federated learning system and benchmark for graph neural networks
C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ...
arXiv preprint arXiv:2104.07145, 2021
Multi-level Feature Learning for Contrastive Multi-view Clustering
J Xu, H Tang, Y Ren, L Peng, X Zhu, L He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Q Sun, H Peng, J Li, Y Ning, J Wu, PS Yu, L He
International World Wide Web Conference (WWW), 2021
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks
L Sun, C Xia, W Yin, T Liang, PS Yu, L He
International Conference on Computational Linguistics (COLING), 2020
A Robust Least Squares Support Vector Machine for Regression and Classification with Outliers or Noises
X Yang, L Tan, L He
Neurocomputing, 2014
A Linear Support Higher-Order Tensor Machine for Classification
Z Hao, L He, B Chen, X Yang
IEEE Transactions on Image Processing 22 (7), 2911-2920, 2013
Online Multi-View Clustering with Incomplete Views
W Shao, L He, C Lu, SY Philip
IEEE International Conference on Big Data (BigData), 1012-1017, 2016
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease
X Zhang*, L He*, K Chen, Y Luo, J Zhou, F Wang
American Medical Informatics Association (AMIA), arXiv preprint arXiv:1805.08801, 2018
The one-against-all partition based binary tree support vector machine algorithms for multi-class classification
X Yang, Q Yu, L He, T Guo
Neurocomputing 113, 1-7, 2013
Self-supervised discriminative feature learning for deep multi-view clustering
J Xu, Y Ren, H Tang, Z Yang, L Pan, Y Yang, X Pu, SY Philip, L He
IEEE Transactions on Knowledge and Data Engineering 35 (7), 7470-7482, 2022
Deep Learning for Drug Repurposing: Methods, Databases, and Applications
X Pan, X Lin, D Cao, X Zeng, PS Yu, L He, R Nussinov, F Cheng
WIREs Computational Molecular Science, 2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
J Xu, Y Ren, H Tang, X Pu, X Zhu, M Zeng, L He
International Conference on Computer Vision (ICCV), 2021
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