| 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 | 650* | 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, ... International Journal of Machine Learning and Cybernetics, 1-65, 2024 | 605 | 2024 |
| Large-scale hierarchical text classification with recursively regularized deep graph-cnn H Peng, J Li, Y He, Y Liu, M Bao, L Wang, Y Song, Q Yang Proceedings of the 2018 world wide web conference, 1063-1072, 2018 | 541 | 2018 |
| Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters Y Dou, Z Liu, L Sun, Y Deng, H Peng, PS Yu ACM International Conference on Information & Knowledge Management, 2020 | 514 | 2020 |
| Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting H Peng, H Wang, B Du, MZA Bhuiyan, H Ma, J Liu, L Wang, Z Yang, L Du, ... Information Sciences 521, 277-290, 2020 | 328 | 2020 |
| Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction Hao Peng, Bowen Du, Senzhang Wang, Md Zakirul Alam Bhuiyan, Lihong Wang ... IEEE Transactions on Intelligent Transportation Systems, 2019 | 289 | 2019 |
| Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection Z Liu, Y Dou, PS Yu, Y Deng, H Peng Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 288 | 2020 |
| Prediction of academic performance associated with internet usage behaviors using machine learning algorithms X Xu, J Wang, H Peng, R Wu Computers in Human Behavior 98, 166-173, 2019 | 268 | 2019 |
| Kg-bart: Knowledge graph-augmented bart for generative commonsense reasoning Y Liu, Y Wan, L He, H Peng, SY Philip Proceedings of the AAAI conference on artificial intelligence 35 (7), 6418-6425, 2021 | 220 | 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 578, 401-416, 2021 | 194 | 2021 |
| Towards Unsupervised Deep Graph Structure Learning Y Liu, Y Zheng, D Zhang, H Chen, H Peng, S Pan Web Conference, 2022 | 193 | 2022 |
| SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Q Sun, H Peng, J Li, J Wu, Y Ning, PS Yu, L He Web Conference, 2021 | 188 | 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, 2019 | 187 | 2019 |
| Attentional graph convolutional networks for knowledge concept recommendation in moocs in a heterogeneous view J Gong, S Wang, J Wang, W Feng, H Peng, J Tang, PS Yu Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 185 | 2020 |
| Federated Social Recommendation with Graph Neural Network Z Liu, L Yang, Z Fan, H Peng, PS Yu ACM Transactions on Intelligent Systems and Technology (TIST), 2021 | 165 | 2021 |
| Graph Structure Learning with Variational Information Bottleneck Q Sun, J Li, H Peng, J Wu, X Fu, C Ji, PS Yu AAAI2022, 2022 | 164 | 2022 |
| Sequential Recommendation via Stochastic Self-Attention Z Fan, Z Liu, Y Wang, A Wang, Z Nazari, L Zheng, H Peng, PS Yu Web Conference, 2022 | 160 | 2022 |
| Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks H Peng, R Zhang, Y Dou, R Yang, J Zhang, PS Yu ACM Transactions on Information Systems, 2021 | 137 | 2021 |
| Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks H Peng, J Li, Q Gong, Y Song, Y Ning, K Lai, PS Yu IJCAI2019, 3238-3245, 2019 | 129 | 2019 |
| Hincti: A cyber threat intelligence modeling and identification system based on heterogeneous information network Y Gao, X Li, H Peng, B Fang, SY Philip IEEE Transactions on Knowledge and Data Engineering 34 (2), 708-722, 2020 | 128 | 2020 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoEmail verificata su cs.uic.edu