Zining Zhu
Cited by
Cited by
Deep neural networks for improved, impromptu trajectory tracking of quadrotors
Q Li, J Qian, Z Zhu, X Bao, MK Helwa, AP Schoellig
2017 IEEE International Conference on Robotics and Automation (ICRA), 5183-5189, 2017
Detecting cognitive impairments by agreeing on interpretations of linguistic features
Z Zhu, J Novikova, F Rudzicz
NAACL 2019 arXiv:1808.06570, 2018
Semi-supervised classification by reaching consensus among modalities
Z Zhu, J Novikova, F Rudzicz
NeurIPS IRASL Workshop, arXiv:1805.09366, 2018
An information theoretic view on selecting linguistic probes
Z Zhu, F Rudzicz
EMNLP 2020 arXiv:2009.07364, 2020
Examining the rhetorical capacities of neural language models
Z Zhu, C Pan, M Abdalla, F Rudzicz
EMNLP BlackboxNLP Workshop arXiv:2010.00153, 2020
Robustness against the channel effect in pathological voice detection
YT Hsu, Z Zhu, CT Wang, SH Fang, F Rudzicz, Y Tsao
NeurIPS ML4H Workshop, arXiv:1811.10376, 2018
Deconfounding age effects with fair representation learning when assessing dementia
Z Zhu, J Novikova, F Rudzicz
arXiv preprint arXiv:1807.07217, 2018
How is BERT surprised? Layerwise detection of linguistic anomalies
B Li, Z Zhu, G Thomas, Y Xu, F Rudzicz
ACL-IJCNLP. arXiv:2105.07452 1, 4215-4228, 2021
Quantifying the Task-Specific Information in Text-Based Classifications
Z Zhu, A Balagopalan, M Ghassemi, F Rudzicz
arXiv preprint arXiv:2110.08931, 2021
An unsupervised framework for tracing textual sources of moral change
A Ramezani, Z Zhu, F Rudzicz, Y Xu
Findings of EMNLP arXiv:2109.00608, 2021
What do writing features tell us about AI papers?
Z Zhu, B Li, Y Xu, F Rudzicz
arXiv preprint arXiv:2107.06310, 2021
Semantic coordinates analysis reveals language changes in the AI field
Z Zhu, Y Xu, F Rudzicz
arXiv preprint arXiv:2011.00543, 2020
Natural languages understanding by a compositional alignment of word embeddings
Z Zhu
University of Toronto Engineering Science, 2019
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