| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 132 | 2021 |
| Automating botnet detection with graph neural networks J Zhou, Z Xu, AM Rush, M Yu MLSys 2020, 2020 | 67 | 2020 |
| AMR Parsing with Action-Pointer Transformer J Zhou, T Naseem, RF Astudillo, R Florian NAACL 2021, 2021 | 45 | 2021 |
| Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing J Zhou, T Naseem, RF Astudillo, YS Lee, R Florian, S Roukos EMNLP 2021, 2021 | 34 | 2021 |
| Simple unsupervised summarization by contextual matching J Zhou, AM Rush ACL 2019, 2019 | 34 | 2019 |
| Improving non-autoregressive neural machine translation with monolingual data J Zhou, P Keung ACL 2020, 2020 | 29 | 2020 |
| Inducing and using alignments for transition-based AMR parsing A Drozdov, J Zhou, R Florian, A McCallum, T Naseem, Y Kim, RF Astudillo NAACL 2022, 2022 | 15 | 2022 |
| Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 11 | 2022 |
| Asymptotically optimal prediction for time-varying data generating processes J Ding, J Zhou, V Tarokh IEEE Transactions on Information Theory 65 (5), 3034-3067, 2018 | 11 | 2018 |
| On statistical efficiency in learning J Ding, E Diao, J Zhou, V Tarokh IEEE Transactions on Information Theory 67 (4), 2488-2506, 2020 | 7 | 2020 |
| Online semantic parsing for latency reduction in task-oriented dialogue J Zhou, J Eisner, M Newman, EA Platanios, S Thomson Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 6 | 2022 |
| A hierarchy of graph neural networks based on learnable local features ML Li, M Dong, J Zhou, AM Rush arXiv preprint arXiv:1911.05256, 2019 | 3 | 2019 |
| Dynamic zero-point attracting projection for time-varying sparse signal recovery J Zhou, L Chen, Y Gu 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 3 | 2015 |
| CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation D Gupta, S Kharbanda, J Zhou, W Li, H Pfister, D Wei Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| A penalized method for the predictive limit of learning J Ding, E Diao, J Zhou, V Tarokh 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 2 | 2018 |
| HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding Z Chen, Z Zhao, H Luo, H Yao, B Li, J Zhou arXiv preprint arXiv:2403.00425, 2024 | 1 | 2024 |
| Optimal prediction of data with unknown abrupt change points J Ding, J Zhou, V Tarokh 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 1 | 2017 |
| Quick Back-Translation for Unsupervised Machine Translation B Brimacombe, J Zhou EMNLP 2023 Findings, 2023 | | 2023 |
| Generating Semantic Graphs for Natural Language J Zhou Harvard University, 2023 | | 2023 |
| Speculative execution of dataflow program nodes JZ Jason Michael EISNER, Samuel McIntire THOMSON, Michael Jack Newman ... US Patent US20230367602A1, 2022 | | 2022 |
Alexander M. RushAssociate Professor, Cornell UniversityVerified email at cornell.edu
