Folgen
Hao Peng
Titel
Zitiert von
Zitiert von
Jahr
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
2972018
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
1442019
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
1082019
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
1052020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Y Dou, Z Liu, L Sun, Y Deng, H Peng, PS Yu
CIKM2020, 2020
892020
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
882019
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
802021
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
712019
Incrementally Learning the Hierarchical Softmax Function for Neural Language Models
H Peng, J Li, Y Song, Y Liu
AAAI, 3267-3273, 2017
712017
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
682020
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
682019
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
542020
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
442021
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
392021
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
382021
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
38*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
362019
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
352021
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
352020
Time-evolving Text Classification with Deep Neural Networks
Y He, J Li, Y Song, M He, H Peng
IJCAI 18, 2241-2247, 2018
342018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20