| Learning to predict severity of software vulnerability using only vulnerability description Z Han, X Li, Z Xing, H Liu, Z Feng 2017 IEEE International conference on software maintenance and evolution …, 2017 | 199 | 2017 |
| An empirical study towards characterizing deep learning development and deployment across different frameworks and platforms Q Guo, S Chen, X Xie, L Ma, Q Hu, H Liu, Y Liu, J Zhao, X Li 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 141 | 2019 |
| Hybrid neural recommendation with joint deep representation learning of ratings and reviews H Liu, Y Wang, Q Peng, F Wu, L Gan, L Pan, P Jiao Neurocomputing 374, 77-85, 2020 | 118 | 2020 |
| Deepweak: Reasoning common software weaknesses via knowledge graph embedding Z Han, X Li, H Liu, Z Xing, Z Feng 2018 IEEE 25th International Conference on Software Analysis, Evolution and …, 2018 | 70 | 2018 |
| NRPA: Neural Recommendation with Personalized Attention H Liu, F Wu, W Wang, X Wang, P Jiao, C Wu, X Xie Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 69 | 2019 |
| Adapted transformer network for news recommendation J Huang, Z Han, H Xu, H Liu Neurocomputing 469, 119-129, 2022 | 29 | 2022 |
| Neural unified review recommendation with cross attention H Liu, W Wang, H Xu, Q Peng, P Jiao Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 22 | 2020 |
| Towards a multi-view attentive matching for personalized expert finding Q Peng, H Liu, Y Wang, H Xu, P Jiao, M Shao, W Wang Proceedings of the ACM web conference 2022, 2131-2140, 2022 | 15 | 2022 |
| Towards comprehensive expert finding with a hierarchical matching network Q Peng, W Wang, H Liu, Y Wang, H Xu, M Shao Knowledge-Based Systems 257, 109933, 2022 | 14 | 2022 |
| Transformer reasoning network for personalized review summarization H Xu, H Liu, P Jiao, W Wang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 14 | 2021 |
| Toward comprehensive user and item representations via three-tier attention network H Liu, W Wang, Q Peng, N Wu, F Wu, P Jiao ACM Transactions on Information Systems (TOIS) 39 (3), 1-22, 2021 | 13 | 2021 |
| SSNE: status signed network embedding C Lu, P Jiao, H Liu, Y Wang, H Xu, W Wang Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 13 | 2019 |
| Neural review rating prediction with hierarchical attentions and latent factors X Wang, H Liu, P Wang, F Wu, H Xu, W Wang, X Xie Database Systems for Advanced Applications: DASFAA 2019 International …, 2019 | 13 | 2019 |
| Rating-boosted abstractive review summarization with neural personalized generation H Xu, H Liu, W Zhang, P Jiao, W Wang Knowledge-Based Systems 218, 106858, 2021 | 12 | 2021 |
| Expertbert: Pretraining expert finding H Liu, Z Lv, Q Yang, D Xu, Q Peng Proceedings of the 31st ACM International Conference on Information …, 2022 | 11 | 2022 |
| Mutual self attention recommendation with gated fusion between ratings and reviews Q Peng, H Liu, Y Yu, H Xu, W Dai, P Jiao Database Systems for Advanced Applications: 25th International Conference …, 2020 | 11 | 2020 |
| Group-based personalized news recommendation with long-and short-term fine-grained matching H Xu, Q Peng, H Liu, Y Sun, W Wang ACM Transactions on Information Systems 42 (1), 1-27, 2023 | 10 | 2023 |
| Variational autoencoder based bipartite network embedding by integrating local and global structure P Jiao, M Tang, H Liu, Y Wang, C Lu, H Wu Information Sciences 519, 9-21, 2020 | 10 | 2020 |
| Network Alignment enhanced via modeling heterogeneity of anchor nodes Y Wang, Q Peng, W Wang, X Guo, M Shao, H Liu, W Liang, L Pan Knowledge-Based Systems 250, 109116, 2022 | 8 | 2022 |
| Efficient non-sampling expert finding H Liu, Z Lv, Q Yang, D Xu, Q Peng Proceedings of the 31st ACM International Conference on Information …, 2022 | 7 | 2022 |
Pengfei JiaoHangzhou Dianzi UniversityDirección de correo verificada de hdu.edu.cn