| APE: Argument pair extraction from peer review and rebuttal via multi-task learning L Cheng, L Bing, Q Yu, W Lu, L Si Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 79 | 2020 |
| Decoder-only or encoder-decoder? interpreting language model as a regularized encoder-decoder Z Fu, W Lam, Q Yu, AMC So, S Hu, Z Liu, N Collier arXiv preprint arXiv:2304.04052, 2023 | 50 | 2023 |
| Review-aware answer prediction for product-related questions incorporating aspects Q Yu, W Lam Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 47 | 2018 |
| IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks L Cheng, L Bing, R He, Q Yu, Y Zhang, L Si Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 29 | 2022 |
| Alleviating cold-start problem in CTR prediction with a variational embedding learning framework X Xu, C Yang, Q Yu, Z Fang, J Wang, C Fan, Y He, C Peng, Z Lin, J Shao Proceedings of the ACM Web Conference 2022, 27-35, 2022 | 22 | 2022 |
| Review-based Question Generation with Adaptive Instance Transfer and Augmentation Q Yu, L Bing, Q Zhang, W Lam, L Si Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 21* | 2020 |
| Responding e-commerce product questions via exploiting qa collections and reviews Q Yu, W Lam, Z Wang Proceedings of the 27th International Conference on Computational …, 2018 | 20 | 2018 |
| Data augmentation based on adversarial autoencoder handling imbalance for learning to rank Q Yu, W Lam Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 411-418, 2019 | 17 | 2019 |
| Enhancing drug–drug interaction prediction by three-way decision and knowledge graph embedding X Hao, Q Chen, H Pan, J Qiu, Y Zhang, Q Yu, Z Han, X Du Granular Computing 8 (1), 67-76, 2023 | 14 | 2023 |
| Product question answering in e-commerce: A survey Y Deng, W Zhang, Q Yu, W Lam arXiv preprint arXiv:2302.08092, 2023 | 13 | 2023 |
| Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering Y Xu, Q Yu, W Lam, T Lin Knowledge and Information Systems 52, 221-254, 2017 | 10 | 2017 |
| Product question intent detection using indicative clause attention and adversarial learning Q Yu, W Lam Proceedings of the 2018 ACM SIGIR International Conference on Theory of …, 2018 | 9 | 2018 |
| An incremental update framework for online recommenders with data-driven prior C Yang, J Chen, Q Yu, X Wu, K Ma, Z Zhao, Z Fang, W Chen, C Fan, J He, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 8 | 2023 |
| Answering product-related questions with heterogeneous information W Zhang, Q Yu, W Lam Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 5 | 2020 |
| Rényi divergence based generalization for learning of classification restricted Boltzmann machines Q Yu, Y Hou, X Zhao, G Cheng 2014 IEEE International Conference on Data Mining Workshop, 692-697, 2014 | 4 | 2014 |
| Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models J Song, R Huang, X Wang, W Huang, Q Yu, M Chen, Y Yao, C Fan, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
| Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction X Xu, Z Fang, Q Yu, R Huang, Y Li, Y He, C Peng, Z Lin, J Shao Proceedings of the 45th International ACM SIGIR conference on Research and …, 2022 | 2 | 2022 |
| A distribution separation method using irrelevance feedback data for information retrieval P Zhang, Q Yu, Y Hou, D Song, J Li, B Hu ACM Transactions on Intelligent Systems and Technology (TIST) 8 (3), 1-26, 2017 | 2 | 2017 |
| Document Boltzmann machines for information retrieval Q Yu, P Zhang, Y Hou, D Song, J Wang Advances in Information Retrieval: 37th European Conference on IR Research …, 2015 | 2 | 2015 |
| Data Contamination Issues in Brain-to-Text Decoding. C Yin, Q Yu, Z Fang, J He, C Peng, Z Lin, J Shao, P Li arXiv preprint arXiv:2312.10987, 2023 | 1 | 2023 |
Wai LamThe Chinese University of Hong KongΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα se.cuhk.edu.hk
