Wang Zhu

According to our database, Wang Zhu authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions?

Wang Zhu, Ishika Singh, Yuan Huang, Robin Jia, Jesse Thomason

CoRR, 2023

Efficient End-to-End Visual Document Understanding with Rationale Distillation.

Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova

CoRR, 2023

Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering.

Wang Zhu, Jesse Thomason, Robin Jia

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Iterative Vision-and-Language Navigation.

Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason J. Corso, Peter Anderson, Stefan Lee, Jesse Thomason

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning.

Yejia Liu, Wang Zhu, Shaolei Ren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems.

Wang Zhu, Jesse Thomason, Robin Jia

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks.

Wang Zhu, Peter Shaw, Tal Linzen, Fei Sha

CoRR, 2021

2020

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps.

Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL.

Guiliang Liu, Wang Zhu, Oliver Schulte

Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees.

Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018