Chunting Zhou

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Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Xuezhe MaInformation Sciences Institute, University of Southern CaliforniaVerified email at usc.edu
Francis C. M. LauHonorary Professor, The University of Hong KongVerified email at cs.hku.hk
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Eduard HovyCarnegie Mellon UniversityVerified email at cmu.edu
Junxian HeCarnegie Mellon UniversityVerified email at cs.cmu.edu
Jiatao GuApple AI/ML (MLR)Verified email at apple.com
Marjan GhazvininejadResearch Scientist, FAIR (Facebook AI Research)Verified email at fb.com
Luke ZettlemoyerUniversity of Washington; Meta AIVerified email at cs.washington.edu
Taylor Berg-KirkpatrickUniversity of California San DiegoVerified email at ucsd.edu
Pengcheng YinGoogleVerified email at google.com
Jaime CarbonellProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
David MortensenCarnegie Mellon UniversityVerified email at cs.cmu.edu
Aditi ChaudharyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Paul MichelPost-doc, Center for Data Science/LSCP, École Normale SupérieureVerified email at inria.fr
Mona DiabProfessor of Computer Science, George Washington UniversityVerified email at gwu.edu
Di WangWoobo Inc., Carnegie Mellon UniversityVerified email at cs.cmu.edu
Xiang KongCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Daniel LevyPhD student, Stanford UniversityVerified email at cs.stanford.edu

Chunting Zhou

Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A C-LSTM neural network for text classification C Zhou, C Sun, Z Liu, F Lau arXiv preprint arXiv:1511.08630, 2015	909	2015
Flowseq: Non-autoregressive conditional sequence generation with generative flow X Ma, C Zhou, X Li, G Neubig, E Hovy EMNLP 2019, 2019	136	2019
Understanding knowledge distillation in non-autoregressive machine translation C Zhou, G Neubig, J Gu ICLR 2020, 2019	112	2019
Structvae: Tree-structured latent variable models for semi-supervised semantic parsing P Yin, C Zhou, J He, G Neubig ACL 2018, 2018	92	2018
Multi-space variational encoder-decoders for semi-supervised labeled sequence transduction C Zhou, G Neubig ACL 2017, 2017	63	2017
Towards a unified view of parameter-efficient transfer learning J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig ICLR 2022, 2022	45	2022
Adapting word embeddings to new languages with morphological and phonological subword representations A Chaudhary, C Zhou, L Levin, G Neubig, DR Mortensen, JG Carbonell EMNLP 2018, 2018	33	2018
Detecting hallucinated content in conditional neural sequence generation C Zhou, G Neubig, J Gu, M Diab, P Guzman, L Zettlemoyer, ... ACL-Findings 2021, 2020	32	2020
Density matching for bilingual word embedding C Zhou, X Ma, D Wang, G Neubig NAACL 2019, 2019	31	2019
Luna: Linear Unified Nested Attention X Ma, X Kong, S Wang, C Zhou, J May, H Ma, L Zettlemoyer NeurIPS 2021, 2021	27	2021
MAE: Mutual posterior-divergence regularization for variational autoencoders X Ma, C Zhou, E Hovy ICLR 2019, 2019	27	2019
Morphological inflection generation with multi-space variational encoder-decoders C Zhou, G Neubig Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal …, 2017	19	2017
Handling syntactic divergence in low-resource machine translation C Zhou, X Ma, J Hu, G Neubig EMNLP 2019, 2019	18	2019
Examining and Combating Spurious Features under Distribution Shift C Zhou, X Ma, P Michel, G Neubig ICML 2021, 2021	14	2021
Category enhanced word embedding C Zhou, C Sun, Z Liu, F Lau arXiv preprint arXiv:1511.08629, 2015	11	2015
The ARIEL-CMU systems for LoReHLT18 A Chaudhary, S Dalmia, J Hu, X Li, A Matthews, AO Muis, N Otani, ... arXiv preprint arXiv:1902.08899, 2019	7	2019
Distributionally Robust Multilingual Machine Translation C Zhou, D Levy, X Li, M Ghazvininejad, G Neubig EMNLP 2021, 2021	6	2021
Efficient methods for multi-label classification C Sun, C Zhou, B Jin, F Lau Pacific-Asia Conference on Knowledge Discovery and Data Mining, 164-175, 2015	4	2015
Optimized periodical charging in large-scale deployed wsns Z Qin, B Lu, C Zhou, L Wang, M Zhu, L Shu, X Zhu 2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015	1	2015
Prompt Consistency for Zero-Shot Task Generalization C Zhou, J He, X Ma, T Berg-Kirkpatrick, G Neubig arXiv preprint arXiv:2205.00049, 2022		2022

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