| 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 | 99 | 2020 |
| 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 | 20 | 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 | 9 | 2022 |
| 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 | 9 | 2021 |
| 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 | 9 | 2020 |
| 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 | 7 | 2022 |
| Expertbert: Pretraining expert finding H Liu, Z Lv, Q Yang, D Xu, Q Peng Proceedings of the 31st ACM International Conference on Information …, 2022 | 7 | 2022 |
| 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 | 6 | 2023 |
| Learning graph deep autoencoder for anomaly detection in multi-attributed networks M Shao, Y Lin, Q Peng, J Zhao, Z Pei, Y Sun Knowledge-Based Systems 260, 110084, 2023 | 6 | 2023 |
| 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 | 4 | 2022 |
| Hierarchical multi-view attention for neural review-based recommendation H Liu, W Wang, H Chen, W Zhang, Q Peng, L Pan, P Jiao Natural Language Processing and Chinese Computing: 9th CCF International …, 2020 | 4 | 2020 |
| ExpertPLM: Pre-training Expert Representation for Expert Finding Q Peng, H Liu Findings of the Association for Computational Linguistics: EMNLP 2022, 1043-1052, 2022 | 3 | 2022 |
| 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 | 3 | 2022 |
| Expertise-Oriented Explainable Question Routing Y Li, W Wang, Q Peng, H Liu, M Shao, P Jiao International Conference on Collaborative Computing: Networking …, 2022 | 2 | 2022 |
| Geometry interaction network alignment Y Wang, W Wang, Z Zhen, Q Peng, P Jiao, W Liang, M Shao, Y Sun Neurocomputing 501, 618-628, 2022 | 2 | 2022 |
| Tree-based model with advanced data preprocessing for large scale hard disk failure prediction Q Wu, W Chen, W Bao, J Li, P Pan, Q Peng, P Jiao Large-Scale Disk Failure Prediction: PAKDD 2020 Competition and Workshop, AI …, 2020 | 1 | 2020 |
| NRSA: Neural Recommendation with Summary-Aware Attention Q Peng, P Wang, W Wang, H Liu, Y Sun, P Jiao Knowledge Science, Engineering and Management: 12th International Conference …, 2019 | 1 | 2019 |
| PEPT: Expert Finding Meets Personalized Pre-training Q Peng, H Liu, H Xu, Y Wang, W Wang arXiv preprint arXiv:2312.12162, 2023 | | 2023 |
| Contrastive Pre-training for Personalized Expert Finding Q Peng, H Liu, Z Lv, Q Yang, W Wang The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
| Towards Personalized Review Generation with Gated Multi-source Fusion Network H Liu, W Wang, H Xu, Q Peng, P Jiao, Y Sun International Conference on Database Systems for Advanced Applications, 322-330, 2022 | | 2022 |
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