Hao Peng
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Incrementally Learning the Hierarchical Softmax Function for Neural Language Models
H Peng, J Li, Y Song, Y Liu
AAAI, 3267-3273, 2017
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
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
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
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
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