| 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 | 178 | 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 | 67 | 2019 |
| Incrementally Learning the Hierarchical Softmax Function for Neural Language Models H Peng, J Li, Y Song, Y Liu AAAI, 3267-3273, 2017 | 54 | 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 | 45 | 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 | 42 | 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 | 41 | 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 | 34 | 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 | 25 | 2020 |
| Time-evolving Text Classification with Deep Neural Networks. Y He, J Li, Y Song, M He, H Peng IJCAI, 2241-2247, 2018 | 20 | 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 | 19 | 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 | 18 | 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 | 16 | 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 | 15 | 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 | 14 | 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 | 13 | 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 | 12 | 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 | 11 | 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 | 10 | 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 | 9 | 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 | 8 | 2020 |
Jianxin LiSchool of Computer Science & Engineering, Beihang UniversityBestätigte E-Mail-Adresse bei act.buaa.edu.cn
