| 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 | 484 | 2018 |
| 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 | 438* | 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 | 369 | 2023 |
| 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 | 359 | 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 | 288 | 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 | 251 | 2019 |
| 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 | 232 | 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 | 213 | 2020 |
| 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 | 183 | 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 | 167 | 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 578, 401-416, 2021 | 156 | 2021 |
| 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 | 148 | 2021 |
| 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 | 148 | 2020 |
| Towards Unsupervised Deep Graph Structure Learning Y Liu, Y Zheng, D Zhang, H Chen, H Peng, S Pan Web Conference, 2022 | 135 | 2022 |
| Graph Structure Learning with Variational Information Bottleneck Q Sun, J Li, H Peng, J Wu, X Fu, C Ji, PS Yu AAAI2022, 2022 | 118 | 2022 |
| 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 | 117 | 2019 |
| 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 | 115 | 2021 |
| HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding Y He, Y Song, J Li, C Ji, J Peng, H Peng CIKM2019, 2019 | 112 | 2019 |
| 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 | 109 | 2021 |
| 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 | 98 | 2022 |
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
