| Incorporating bert into neural machine translation J Zhu, Y Xia, L Wu, D He, T Qin, W Zhou, H Li, TY Liu ICLR-2020, 2020 | 309 | 2020 |
| Soft contextual data augmentation for neural machine translation J Zhu, F Gao, L Wu, Y Xia, T Qin, W Zhou, X Cheng, TY Liu ACL-2019, 2019 | 98* | 2019 |
| Normalization helps training of quantized LSTM L Hou, J Zhu, J Kwok, F Gao, T Qin, T Liu Advances in Neural Information Processing Systems 32, 2019 | 31 | 2019 |
| Return-based contrastive representation learning for reinforcement learning G Liu, C Zhang, L Zhao, T Qin, J Zhu, J Li, N Yu, TY Liu ICLR-2021, 2021 | 22 | 2021 |
| Dual-view molecule pre-training J Zhu, Y Xia, T Qin, W Zhou, H Li, TY Liu arXiv preprint arXiv:2106.10234, 2021 | 21 | 2021 |
| Microsoft Research Asia's Systems for WMT19 Y Xia, X Tan, F Tian, F Gao, W Chen, Y Fan, L Gong, Y Leng, R Luo, ... WMT-2019, 2019 | 21 | 2019 |
| Masked contrastive representation learning for reinforcement learning J Zhu, Y Xia, L Wu, J Deng, W Zhou, T Qin, TY Liu, H Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 12 | 2022 |
| Machine translation with weakly paired documents L Wu, J Zhu, D He, F Gao, T Qin, J Lai, TY Liu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 9* | 2019 |
| Multimodal sentiment analysis with two-phase multi-task learning B Yang, L Wu, J Zhu, B Shao, X Lin, TY Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2015-2024, 2022 | 6 | 2022 |
| Direct molecular conformation generation J Zhu, Y Xia, C Liu, L Wu, S Xie, T Wang, Y Wang, W Zhou, T Qin, H Li, ... arXiv preprint arXiv:2202.01356, 2022 | 6 | 2022 |
| Unified 2D and 3D Pre-Training of Molecular Representations J Zhu, Y Xia, L Wu, S Xie, T Qin, W Zhou, H Li, TY Liu KDD-2022, 2022 | 4 | 2022 |
| Back translation for molecule generation Y Fan, Y Xia, J Zhu, L Wu, S Xie, T Qin Bioinformatics 38 (5), 1244-1251, 2022 | 4 | 2022 |
| A study of BERT for context-aware neural machine translation X Wu, Y Xia, J Zhu, L Wu, S Xie, T Qin Machine Learning 111 (3), 917-935, 2022 | 4 | 2022 |
| Design and analysis of a novel sucked-type underactuated hand with multiple grasping modes N Lin, P Wu, X Tan, J Zhu, Z Guo, X Qi, X Chen Robot Intelligence Technology and Applications 5: Results from the 5th …, 2019 | 4 | 2019 |
| mixSeq: A simple data augmentation methodfor neural machine translation X Wu, Y Xia, J Zhu, L Wu, S Xie, Y Fan, T Qin Proceedings of the 18th International Conference on Spoken Language …, 2021 | 3 | 2021 |
| IoT: Instance-wise layer reordering for transformer structures J Zhu, L Wu, Y Xia, S Xie, T Qin, W Zhou, H Li, TY Liu ICLR-2021, 2021 | 2 | 2021 |
| SPRoBERTa: protein embedding learning with local fragment modeling L Wu, C Yin, J Zhu, Z Wu, L He, Y Xia, S Xie, T Qin, TY Liu Briefings in Bioinformatics 23 (6), 2022 | 1 | 2022 |
| Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design K Gao, L Wu, J Zhu, T Peng, Y Xia, L He, S Xie, T Qin, H Liu, K He, TY Liu bioRxiv, 2022.11. 14.516404, 2022 | 1 | 2022 |
| Discovering drug–target interaction knowledge from biomedical literature Y Hou, Y Xia, L Wu, S Xie, Y Fan, J Zhu, T Qin, TY Liu Bioinformatics 38 (22), 5100-5107, 2022 | 1 | 2022 |
| R2-DDI: relation-aware feature refinement for drug–drug interaction prediction J Lin, L Wu, J Zhu, X Liang, Y Xia, S Xie, T Qin, TY Liu Briefings in Bioinformatics 24 (1), bbac576, 2023 | | 2023 |
Tao QinSenior Principal Research Manager, Microsoft ResearchVerified email at microsoft.com
