| BRITS: Bidirectional Recurrent Imputation for Time Series W Cao, D Wang, J Li, H Zhou, L Li, Y Li NIPS 2018, 6776-6786, 2018 | 820 | 2018 |
| On the Sentence Embeddings from Pre-trained Language Models B Li, H Zhou, J He, M Wang, Y Yang, L Li EMNLP 2020, 2020 | 743 | 2020 |
| Dynamically Fused Graph Network for Multi-hop Reasoning L Qiu, Y Xiao, Y Qu, H Zhou, L Li, W Zhang, Y Yu ACL 2019, 6140-6150, 2019 | 279 | 2019 |
| CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling N Miao, H Zhou, L Mou, R Yan, L Li AAAI 2019, 2018 | 198 | 2018 |
| Generating Fluent Adversarial Examples for Natural Languages H Zhang, H Zhou, N Miao, L Li ACL 2019, 5564-5569, 2019 | 179 | 2019 |
| Towards making the most of bert in neural machine translation J Yang, M Wang, H Zhou, C Zhao, W Zhang, Y Yu, L Li AAAI 2020 34 (05), 9378-9385, 2020 | 176 | 2020 |
| MARS: Markov Molecular Sampling for Multi-objective Drug Discovery Y Xie, C Shi, H Zhou, Y Yang, W Zhang, Y Yu, L Li ICLR 2021, 2021 | 167 | 2021 |
| Glancing Transformer for Non-Autoregressive Neural Machine Translation L Qian, H Zhou, Y Bao, M Wang, L Qiu, W Zhang, Y Yu, L Li ACL 2021, 2020 | 162 | 2020 |
| Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation H Bahuleyan, L Mou, H Zhou, O Vechtomova NAACL 2019, 2018 | 156* | 2018 |
| UniRE: A Unified Label Space for Entity Relation Extraction Y Wang, C Sun, Y Wu, H Zhou, L Li, J Yan arXiv preprint arXiv:2107.04292, 2021 | 139 | 2021 |
| Generating Sentences from Disentangled Syntactic and Semantic Spaces Y Bao, H Zhou, S Huang, L Li, L Mou, O Vechtomova, X Dai, J Chen ACL 2019, 2019 | 137 | 2019 |
| Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information Z Lin, X Pan, M Wang, X Qiu, J Feng, H Zhou, L Li EMNLP 2020, 2020 | 134 | 2020 |
| A neural probabilistic structured-prediction model for transition-based dependency parsing H Zhou, Y Zhang, S Huang, J Chen ACL 2015, 2015 | 118 | 2015 |
| A Survey on Green Deep Learning J Xu, W Zhou, Z Fu, H Zhou, L Li arXiv preprint arXiv:2111.05193, 2021 | 114 | 2021 |
| Imitation Learning for Non-Autoregressive Neural Machine Translation B Wei, M Wang, H Zhou, J Lin, X Sun ACL 2019, 2019 | 102 | 2019 |
| Vocabulary learning via optimal transport for neural machine translation J Xu, H Zhou, C Gan, Z Zheng, L Li ACL Best Paper, 7361-7373, 2021 | 98 | 2021 |
| Unsupervised Paraphrasing by Simulated Annealing X Liu, L Mou, F Meng, H Zhou, J Zhou, S Song ACL 2020, 2020 | 92 | 2020 |
| Rethinking Document-level Neural Machine Translation Z Sun, M Wang, H Zhou, C Zhao, S Huang, J Chen, L Li | 69* | |
| “Listen, Understand and Translate”: Triple Supervision Decouples End-to-end Speech-to-text Translation Q Dong, R Ye, M Wang, H Zhou, S Xu, B Xu, L Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12749 …, 2021 | 64 | 2021 |
| Directed Acyclic Transformer for Non-Autoregressive Machine Translation F Huang, H Zhou, Y Liu, H Li, M Huang ICML, 2022 | 60 | 2022 |
Mingxuan WangByteDance LLM TeamE-mailová adresa ověřena na: bytedance.com