Hao Peng
Zitiert von
Zitiert von
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
Incrementally Learning the Hierarchical Softmax Function for Neural Language Models
H Peng, J Li, Y Song, Y Liu
AAAI, 3267-3273, 2017
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
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
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
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
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
Time-evolving Text Classification with Deep Neural Networks.
Y He, J Li, Y Song, M He, H Peng
IJCAI, 2241-2247, 2018
Event Detection and Evolution in Multi-lingual Social Streams
Y Liu, H Peng, J Li, Y Song, X Li
Frontiers of Computer Science, 2019
Graph CNNs for urban traffic passenger flows prediction
J Li, H Peng, L Liu, G Xiong, B Du, H Ma, L Wang, MZA Bhuiyan
2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2018
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
Incremental term representation learning for social network analysis
H Peng, M Bao, J Li, MZA Bhuiyan, Y Liu, Y He, E Yang
Future Generation Computer Systems 86, 1503-1512, 2018
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Y Dou, Z Liu, L Sun, Y Deng, H Peng, PS Yu
CIKM2020, 2020
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines
Q Mao, J Li, S Wang, Y Zhang, H Peng, M He, L Wang
IJCAI2019, 5139-5145, 2019
Event detection and evolution based on knowledge base
Y Liu, H Peng, J Guo, T He, X Li, Y Song, J Li
Proc. KBCOM, 2018
SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-Step Urban Crowd Flow Prediction
S Wang, J Cao, H Chen, H Peng, Z Huang
ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (4), 1-24, 2020
Deep Convolutional Mesh RNN for Urban Traffic Passenger Flows Prediction
Zou Zhene, Hao Peng, Lin Liu, Xiong Guixi, Bowen Du, Md Zakirul Alam Bhuiyan ...
2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2018
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
Multi-information source hin for medical concept embedding
Y Cao, H Peng, SY Philip
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 396-408, 2020
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