Hao Peng
Cited by
Cited by
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
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
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
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Y Dou, Z Liu, L Sun, Y Deng, H Peng, PS Yu
CIKM2020, 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
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
ACM Transactions on Intelligent Systems and Technology (TIST), 2021
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
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
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
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
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
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
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
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
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
H Peng, J Li, Y Song, R Yang, R Ranjan, PS Yu, L He
ACM Transactions on Knowledge Discovery from Data, 2021
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
Y Cao, H Peng, J Wu, Y Dou, J Li, PS Yu
Web Conference, 2021
Hincti: A cyber threat intelligence modeling and identification system based on heterogeneous information network
Y Gao, LI Xiaoyong, P Hao, B Fang, P Yu
IEEE Transactions on Knowledge and Data Engineering, 2020
Event Detection and Evolution in Multi-lingual Social Streams
Y Liu, H Peng, J Li, Y Song, X Li
Frontiers of Computer Science, 2019
The system can't perform the operation now. Try again later.
Articles 1–20