| 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 | 415 | 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 | 307* | 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 | 291 | 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 | 273 | 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 | 204 | 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 | 189 | 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 | 173 | 2019 |
| 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 | 166 | 2022 |
| 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 | 165 | 2021 |
| 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 | 164 | 2021 |
| 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 | 157 | 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 | 145 | 2020 |
| A Robust Least Squares Support Vector Machine for Regression and Classification with Outliers or Noises X Yang, L Tan, L He Neurocomputing, 2014 | 138 | 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 | 135 | 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 | 124 | 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 | 123 | 2018 |
| TrustLLM: Trustworthiness in Large Language Models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 109 | 2024 |
| 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 | 106 | 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 | 104 | 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 | 100 | 2021 |
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
