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Lifang He
Lifang He
Assistant Professor of Computer Science, Lehigh University
Verified email at lehigh.edu - Homepage
Title
Cited by
Cited by
Year
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
551*2022
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
5282023
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
332*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
3002015
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
209*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
2022022
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
1982021
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
1772019
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
1762021
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
1682021
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
1552020
Position: TrustLLM: Trustworthiness in Large Language Models
Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ...
International Conference on Machine Learning, 20166-20270, 2024
153*2024
A Robust Least Squares Support Vector Machine for Regression and Classification with Outliers or Noises
X Yang, L Tan, L He
Neurocomputing, 2014
1412014
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
1382013
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
1292016
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
1282018
Sora: A review on background, technology, limitations, and opportunities of large vision models
Y Liu, K Zhang, Y Li, Z Yan, C Gao, R Chen, Z Yuan, Y Huang, H Sun, ...
arXiv preprint arXiv:2402.17177, 2024
1222024
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
1212022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
H Cui, W Dai, Y Zhu, X Kan, AAC Gu, J Lukemire, L Zhan, L He, Y Guo, ...
1132023
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
1132021
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Articles 1–20