| 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 | 97 | 2017 |
| Detecting cognitive impairments by agreeing on interpretations of linguistic features Z Zhu, J Novikova, F Rudzicz NAACL 2019, 2018 | 29 | 2018 |
| How is BERT surprised? Layerwise detection of linguistic anomalies B Li, Z Zhu, G Thomas, Y Xu, F Rudzicz ACL-IJCNLP 1, 4215-4228, 2021 | 23 | 2021 |
| An information theoretic view on selecting linguistic probes Z Zhu, F Rudzicz EMNLP 2020, 2020 | 15 | 2020 |
| Neural reality of argument structure constructions B Li, Z Zhu, G Thomas, F Rudzicz, Y Xu ACL 2022, 2022 | 12 | 2022 |
| Semi-supervised classification by reaching consensus among modalities Z Zhu, J Novikova, F Rudzicz NeurIPS IRASL Workshop, 2018 | 11 | 2018 |
| Examining the rhetorical capacities of neural language models Z Zhu, C Pan, M Abdalla, F Rudzicz EMNLP BlackboxNLP Workshop, 2020 | 9 | 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, 2018 | 8 | 2018 |
| An unsupervised framework for tracing textual sources of moral change A Ramezani, Z Zhu, F Rudzicz, Y Xu Findings of EMNLP, 2021 | 6 | 2021 |
| Deconfounding age effects with fair representation learning when assessing dementia Z Zhu, J Novikova, F Rudzicz arXiv preprint arXiv:1807.07217, 2018 | 4* | 2018 |
| Predicting Fine-Tuning Performance with Probing Z Zhu, S Shahtalebi, F Rudzicz EMNLP, 2022 | 3 | 2022 |
| CCGen: Explainable Complementary Concept Generation in E-Commerce J Huang, Y Gao, Z Li, J Yang, Y Song, C Zhang, Z Zhu, H Jiang, ... arXiv preprint arXiv:2305.11480, 2023 | 1 | 2023 |
| On the data requirements of probing Z Zhu, J Wang, B Li, F Rudzicz Findings of ACL, 2022 | 1 | 2022 |
| Quantifying the Task-Specific Information in Text-Based Classifications Z Zhu, A Balagopalan, M Ghassemi, F Rudzicz arXiv preprint arXiv:2110.08931, 2021 | 1 | 2021 |
| Situated Natural Language Explanations Z Zhu, H Jiang, J Yang, S Nag, C Zhang, J Huang, Y Gao, F Rudzicz, ... arXiv preprint arXiv:2308.14115, 2023 | | 2023 |
| A State-Vector Framework For Dataset Effects E Sahak, Z Zhu, F Rudzicz ACL Student Research Workshop, 2023 | | 2023 |
| Out-of-Distribution Failure through the Lens of Labeling Mechanisms: An Information Theoretic Approach S Shahtalebi, Z Zhu, F Rudzicz ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022 | | 2022 |
| OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization Z Zhu, S Shahtalebi, F Rudzicz ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022 | | 2022 |
| What do writing features tell us about AI papers? Z Zhu, B Li, Y Xu, F Rudzicz arXiv preprint arXiv:2107.06310, 2021 | | 2021 |
| Semantic coordinates analysis reveals language changes in the AI field Z Zhu, Y Xu, F Rudzicz arXiv preprint arXiv:2011.00543, 2020 | | 2020 |
