Chunting Zhou
Cited by
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A C-LSTM neural network for text classification
C Zhou, C Sun, Z Liu, F Lau
arXiv preprint arXiv:1511.08630, 2015
Flowseq: Non-autoregressive conditional sequence generation with generative flow
X Ma, C Zhou, X Li, G Neubig, E Hovy
EMNLP 2019, 2019
Understanding knowledge distillation in non-autoregressive machine translation
C Zhou, G Neubig, J Gu
ICLR 2020, 2019
Structvae: Tree-structured latent variable models for semi-supervised semantic parsing
P Yin, C Zhou, J He, G Neubig
ACL 2018, 2018
Multi-space variational encoder-decoders for semi-supervised labeled sequence transduction
C Zhou, G Neubig
ACL 2017, 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
Density matching for bilingual word embedding
C Zhou, X Ma, D Wang, G Neubig
NAACL 2019, 2019
MAE: Mutual posterior-divergence regularization for variational autoencoders
X Ma, C Zhou, E Hovy
ICLR 2019, 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
Handling syntactic divergence in low-resource machine translation
C Zhou, X Ma, J Hu, G Neubig
EMNLP 2019, 2019
Morphological inflection generation with multi-space variational encoder-decoders
C Zhou, G Neubig
Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal …, 2017
Luna: Linear Unified Nested Attention
X Ma, X Kong, S Wang, C Zhou, J May, H Ma, L Zettlemoyer
NeurIPS 2021, 2021
Category enhanced word embedding
C Zhou, C Sun, Z Liu, F Lau
arXiv preprint arXiv:1511.08629, 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
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
Towards a unified view of parameter-efficient transfer learning
J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig
arXiv preprint arXiv:2110.04366, 2021
Examining and Combating Spurious Features under Distribution Shift
C Zhou, X Ma, P Michel, G Neubig
ICML 2021, 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
Distributionally Robust Multilingual Machine Translation
C Zhou, D Levy, X Li, M Ghazvininejad, G Neubig
EMNLP 2021, 2021
Learning Structures for Deep Neural Networks
J Yuan, F Pan, C Zhou, T Qin, TY Liu
arXiv preprint arXiv:2105.13905, 2021
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