Sledovat
Hao Peng
Název
Citace
Citace
Rok
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
4452018
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
284*2022
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
2712020
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
2392020
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
2192019
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
1922019
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
1862023
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
1682020
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
1462019
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
1342021
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
1222021
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
1212021
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
1192020
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
1072019
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
1002019
Incrementally Learning the Hierarchical Softmax Function for Neural Language Models
H Peng, J Li, Y Song, Y Liu
AAAI, 3267-3273, 2017
902017
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
832021
Motif-matching based Subgraph-level Attentional Convolutional Network for Graph Classification
H Peng, J Li, Q Gong, Y Ning, S Wang, L He
Thirty-Fouth AAAI Conference on Artificial Intelligence, 2020
80*2020
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
J Li, H Peng, Y Cao, Y Dou, H Zhang, PS Yu, L He
IEEE Transactions on Knowledge and Data Engineering, 2021
752021
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
742021
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Články 1–20