| Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation W Hu, Z Lin, B Liu, C Tao, Z Tao, J Ma, D Zhao, R Yan | 159 | 2018 |
| Multi-representation fusion network for multi-turn response selection in retrieval-based chatbots C Tao, W Wu, C Xu, W Hu, D Zhao, R Yan Proceedings of the twelfth ACM international conference on web search and …, 2019 | 146 | 2019 |
| One time of interaction may not be enough: Go deep with an interaction-over-interaction network for response selection in dialogues C Tao, W Wu, C Xu, W Hu, D Zhao, R Yan Proceedings of the 57th annual meeting of the association for computational …, 2019 | 131 | 2019 |
| Neural system combination for machine translation L Zhou, W Hu, J Zhang, C Zong arXiv preprint arXiv:1704.06393, 2017 | 80 | 2017 |
| Gsn: A graph-structured network for multi-party dialogues W Hu, Z Chan, B Liu, D Zhao, J Ma, R Yan arXiv preprint arXiv:1905.13637, 2019 | 73 | 2019 |
| Feature projection for improved text classification Q Qin, W Hu, B Liu Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 59 | 2020 |
| Hrn: A holistic approach to one class learning W Hu, M Wang, Q Qin, J Ma, B Liu Advances in neural information processing systems 33, 19111-19124, 2020 | 57 | 2020 |
| Continual learning by using information of each class holistically W Hu, Q Qin, M Wang, J Ma, B Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7797-7805, 2021 | 54 | 2021 |
| Towards effective and interpretable person-job fitting R Le, W Hu, Y Song, T Zhang, D Zhao, R Yan Proceedings of the 28th ACM International Conference on Information and …, 2019 | 43 | 2019 |
| Aspect-based question generation W Hu, B Liu, J Ma, D Zhao, R Yan | 41 | 2018 |
| Modeling personalization in continuous space for response generation via augmented wasserstein autoencoders Z Chan, J Li, X Yang, X Chen, W Hu, D Zhao, R Yan Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 38 | 2019 |
| Predictive adversarial learning from positive and unlabeled data W Hu, R Le, B Liu, F Ji, J Ma, D Zhao, R Yan Proceedings of the AAAI conference on artificial intelligence 35 (9), 7806-7814, 2021 | 37 | 2021 |
| Bns: Building network structures dynamically for continual learning Q Qin, W Hu, H Peng, D Zhao, B Liu Advances in Neural Information Processing Systems 34, 20608-20620, 2021 | 34 | 2021 |
| Different contexts lead to different word embeddings W Hu, J Zhang, N Zheng Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 31 | 2016 |
| Adaptive orthogonal projection for batch and online continual learning Y Guo, W Hu, D Zhao, B Liu Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6783-6791, 2022 | 27 | 2022 |
| Who is speaking to whom? learning to identify utterance addressee in multi-party conversations R Le, W Hu, M Shang, Z You, L Bing, D Zhao, R Yan Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 26* | 2019 |
| Using the past knowledge to improve sentiment classification Q Qin, W Hu, B Liu Findings of the Association for Computational Linguistics: EMNLP 2020, 1124-1133, 2020 | 12 | 2020 |
| Eveval: A comprehensive evaluation of event semantics for large language models Z Tao, Z Jin, X Bai, H Zhao, Y Feng, J Li, W Hu arXiv preprint arXiv:2305.15268, 2023 | 8 | 2023 |
| Cmg: A class-mixed generation approach to out-of-distribution detection M Wang, Y Shao, H Lin, W Hu, B Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 7 | 2022 |
| Translation vs. dialogue: A comparative analysis of sequence-to-sequence modeling W Hu, R Le, B Liu, J Ma, D Zhao, R Yan Proceedings of the 28th International Conference on Computational …, 2020 | 6 | 2020 |
Dongyan ZhaoPeking UniversityVerified email at pku.edu.cn
