Chunting Zhou

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Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Francis C. M. LauHonorary Professor, The University of Hong KongVerified email at cs.hku.hk
Xuezhe MaInformation Sciences Institute, University of Southern CaliforniaVerified email at usc.edu
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Eduard HovyCarnegie Mellon UniversityVerified email at cmu.edu
Jiatao GuFacebook AI ResearchVerified email at fb.com
Pengcheng YinCarnegie Mellon UniversityVerified email at cs.cmu.edu
Junxian HeCarnegie Mellon UniversityVerified email at cs.cmu.edu
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
Luke ZettlemoyerUniversity of Washington; FacebookVerified email at cs.washington.edu
Di WangWoobo Inc., Carnegie Mellon UniversityVerified email at cs.cmu.edu
Marjan GhazvininejadResearch Scientist, FAIR (Facebook AI Research)Verified email at fb.com
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Mona DiabProfessor of Computer Science, George Washington UniversityVerified email at gwu.edu
Paul MichelPost-doc, Center for Data Science/LSCP, École Normale SupérieureVerified email at inria.fr
Francisco (Paco) GuzmánResearch Scientist - FacebookVerified email at fb.com

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	696	2015
Flowseq: Non-autoregressive conditional sequence generation with generative flow X Ma, C Zhou, X Li, G Neubig, E Hovy EMNLP 2019, 2019	91	2019
Structvae: Tree-structured latent variable models for semi-supervised semantic parsing P Yin, C Zhou, J He, G Neubig ACL 2018, 2018	69	2018
Understanding knowledge distillation in non-autoregressive machine translation C Zhou, G Neubig, J Gu ICLR 2020, 2019	61	2019
Multi-space variational encoder-decoders for semi-supervised labeled sequence transduction C Zhou, G Neubig ACL 2017, 2017	52	2017
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	27	2018
Density matching for bilingual word embedding C Zhou, X Ma, D Wang, G Neubig NAACL 2019, 2019	24	2019
MAE: Mutual posterior-divergence regularization for variational autoencoders X Ma, C Zhou, E Hovy ICLR 2019, 2019	20	2019
Morphological inflection generation with multi-space variational encoder-decoders C Zhou, G Neubig Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal …, 2017	16	2017
Handling syntactic divergence in low-resource machine translation C Zhou, X Ma, J Hu, G Neubig EMNLP 2019, 2019	12	2019
Detecting hallucinated content in conditional neural sequence generation C Zhou, G Neubig, J Gu, M Diab, P Guzman, L Zettlemoyer, ... ACL-Findings 2021, 2020	9	2020
Category enhanced word embedding C Zhou, C Sun, Z Liu, F Lau arXiv preprint arXiv:1511.08629, 2015	8	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	6	2019
Efficient methods for multi-label classification C Sun, C Zhou, B Jin, FCM Lau Pacific-Asia Conference on Knowledge Discovery and Data Mining, 164-175, 2015	4	2015
Luna: Linear Unified Nested Attention X Ma, X Kong, S Wang, C Zhou, J May, H Ma, L Zettlemoyer arXiv preprint arXiv:2106.01540, 2021	2	2021
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
Distributionally Robust Multilingual Machine Translation C Zhou, D Levy, X Li, M Ghazvininejad, G Neubig arXiv preprint arXiv:2109.04020, 2021		2021
Examining and Combating Spurious Features under Distribution Shift C Zhou, X Ma, P Michel, G Neubig ICML 2021, 2021		2021
Learning Structures for Deep Neural Networks J Yuan, F Pan, C Zhou, T Qin, TY Liu arXiv preprint arXiv:2105.13905, 2021		2021
Representation learning for natural language processing C Zhou HKU Theses Online (HKUTO), 2016		2016

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