| DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset Y Li, H Su, X Shen, W Li, Z Cao, S Niu arXiv preprint arXiv:1710.03957, 2017 | 1529 | 2017 |
| SenseMood: Depression Detection on Social Media C Lin, P Hu, H Su, S Li, J Mei, J Zhou, H Leung Proceedings of the 2020 International Conference on Multimedia Retrieval …, 2020 | 175 | 2020 |
| A conditional variational framework for dialog generation X Shen, H Su, Y Li, W Li, S Niu, Y Zhao, A Aizawa, G Long arXiv preprint arXiv:1705.00316, 2017 | 153 | 2017 |
| Improving variational encoder-decoders in dialogue generation X Shen, H Su, S Niu, V Demberg Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 136 | 2018 |
| Improving Multi-turn Dialogue Modelling with Utterance ReWriter H Su, X Shen, R Zhang, F Sun, P Hu, C Niu, J Zhou arXiv preprint arXiv:1906.07004, 2019 | 123 | 2019 |
| Diversifying Dialogue Generation with Non-Conversational Text H Su, X Shen, S Zhao, X Zhou, P Hu, R Zhong, C Niu, J Zhou arXiv preprint arXiv:2005.04346, 2020 | 65 | 2020 |
| Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence X Shen, E Chang, H Su, J Zhou, D Klakow arXiv preprint arXiv:2005.01096, 2020 | 61 | 2020 |
| Neural Data-to-Text Generation with LM-based Text Augmentation E Chang, X Shen, D Zhu, V Demberg, H Su arXiv preprint arXiv:2102.03556, 2021 | 50 | 2021 |
| A Survey of Transformer-based Multimodal Pre-Trained Modals X Han, YT Wang, JL Feng, C Deng, ZH Chen, YA Huang, H Su, L Hu, ... Neurocomputing, 2022 | 41 | 2022 |
| Select and Attend: Towards Controllable Content Selection in Text Generation X Shen, J Suzuki, K Inui, H Su, D Klakow, S Sekine arXiv preprint arXiv:1909.04453, 2019 | 39 | 2019 |
| MovieChats: Chat like Humans in a Closed Domain H Su, X Shen, Z Xiao, Z Zhang, E Chang, C Zhang, C Niu, J Zhou Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 38 | 2020 |
| Improving latent alignment in text summarization by generalizing the pointer generator X Shen, Y Zhao, H Su, D Klakow Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 37 | 2019 |
| PatrickStar: Parallel Training of Pre-trained Models via Chunk-based Memory Management YY Jiarui Fang, Zilin Zhu, Shenggui Li, Hui Su, Yang Yu, Jie Zhou arXiv preprint arXiv:2108.05818, 2021 | 36* | 2021 |
| Nexus network: Connecting the preceding and the following in dialogue generation X Shen, H Su, W Li, D Klakow Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 36 | 2018 |
| RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining H Su, W Shi, X Shen, Z Xiao, T Ji, J Fang, J Zhou Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 35 | 2022 |
| WeLM: A Well-Read Pre-trained Language Model for Chinese H Su, X Zhou, H Yu, Y Chen, Z Zhu, Y Yu, J Zhou arXiv preprint arXiv:2209.10372, 2022 | 26 | 2022 |
| Dialogue generation with GAN H Su, X Shen, P Hu, W Li, Y Chen Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 26 | 2018 |
| Unraveling the Mystery of Scaling Laws: Part I H Su, Z Tian, X Shen, X Cai arXiv preprint arXiv:2403.06563, 2024 | 16 | 2024 |
| Bluememo: Depression analysis through twitter posts P Hu, C Lin, H Su, S Li, X Han, Y Zhang, J Mei Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 16 | 2021 |
| Knowledge-enhanced Session-based Recommendation with Temporal Transformer R Zhang, Y Gu, X Shen, H Su arXiv preprint arXiv:2112.08745, 2021 | 8 | 2021 |
Xiaoyu ShenEastern Institute of Technology, NingboPreverjeni e-poštni naslov na eitech.edu.cn