| Toward interpretable deep reinforcement learning with linear model u-trees G Liu, O Schulte, W Zhu, Q Li Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 154 | 2019 |
| Babywalk: Going farther in vision-and-language navigation by taking baby steps W Zhu, H Hu, J Chen, Z Deng, V Jain, E Ie, F Sha ACL 2020, 2020 | 74 | 2020 |
| Iterative Vision-and-Language Navigation J Krantz, S Banerjee, W Zhu, JJ Corso, P Anderson, S Lee, J Thomason arXiv preprint arXiv:2210.03087, 2022 | 13 | 2022 |
| Interpreting deep sports analytics: Valuing actions and players in the NHL G Liu, W Zhu, O Schulte International Workshop on Machine Learning and Data Mining for Sports …, 2018 | 8 | 2018 |
| Learning to generalize compositionally by transferring across semantic parsing tasks W Zhu, P Shaw, T Linzen, F Sha arXiv preprint arXiv:2111.05013, 2021 | 7 | 2021 |
| Chain-of-questions training with latent answers for robust multistep question answering W Zhu, J Thomason, R Jia arXiv preprint arXiv:2305.14901, 2023 | 6 | 2023 |
| Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions? W Zhu, I Singh, Y Huang, R Jia, J Thomason arXiv preprint arXiv:2311.17280, 2023 | 1 | 2023 |
| Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning Y Liu, W Zhu, S Ren NeurIPS 2022, 2022 | 1 | 2022 |
| Language Models can Infer Action Semantics for Classical Planners from Environment Feedback W Zhu, I Singh, R Jia, J Thomason arXiv preprint arXiv:2406.02791, 2024 | | 2024 |
| Efficient End-to-End Visual Document Understanding with Rationale Distillation W Zhu, A Agarwal, M Joshi, R Jia, J Thomason, K Toutanova arXiv preprint arXiv:2311.09612, 2023 | | 2023 |
| Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems W Zhu, J Thomason, R Jia Findings of EMNLP 2022, 2022 | | 2022 |
Guiliang LiuChinese University of Hongkong, ShenzhenVerified email at cuhk.edu.cn
