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ORCIDWang Zhu 0001
Person information
- affiliation: University of Southern California, CA, USA
Other persons with the same name
- Wang Zhu 0002
![[0000-0002-9698-1071]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9698-1071")
— Chongqing University, Chongqing, China - Wang Zhu 0003 — Shanghai Maritime University, Shanghai, China
- Wang Zhu 0004 — University of Shanghai for Science and Technology, School of Optical-Electrical and Computer Engineering, China
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2020 – today
- 2024
[c8]Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova:
Efficient End-to-End Visual Document Understanding with Rationale Distillation. NAACL-HLT 2024: 8401-8424- [i10]Wang Zhu, Ishika Singh, Robin Jia, Jesse Thomason:
Language Models can Infer Action Semantics for Classical Planners from Environment Feedback. CoRR abs/2406.02791 (2024) - 2023
- [c7]Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason J. Corso, Peter Anderson, Stefan Lee, Jesse Thomason:
Iterative Vision-and-Language Navigation. CVPR 2023: 14921-14930 - [c6]Wang Zhu, Jesse Thomason, Robin Jia:
Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering. EMNLP 2023: 8845-8860 - [i9]Wang Zhu, Jesse Thomason, Robin Jia:
Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering. CoRR abs/2305.14901 (2023) - [i8]Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova:
Efficient End-to-End Visual Document Understanding with Rationale Distillation. CoRR abs/2311.09612 (2023) - [i7]Wang Zhu, Ishika Singh, Yuan Huang, Robin Jia, Jesse Thomason:
Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions? CoRR abs/2311.17280 (2023) - 2022
- [c5]Wang Zhu, Jesse Thomason, Robin Jia:
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems. EMNLP (Findings) 2022: 4697-4711 - [c4]Yejia Liu, Wang Zhu, Shaolei Ren:
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning. NeurIPS 2022 - [i6]Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason J. Corso, Peter Anderson, Stefan Lee, Jesse Thomason:
Iterative Vision-and-Language Navigation. CoRR abs/2210.03087 (2022) - [i5]Yejia Liu, Wang Zhu, Shaolei Ren:
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning. CoRR abs/2210.08442 (2022) - [i4]Wang Zhu, Jesse Thomason, Robin Jia:
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems. CoRR abs/2210.15037 (2022) - 2021
- [i3]Wang Zhu, Peter Shaw, Tal Linzen, Fei Sha:
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks. CoRR abs/2111.05013 (2021) - 2020
- [c3]Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha:
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. ACL 2020: 2539-2556 - [i2]Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha:
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. CoRR abs/2005.04625 (2020)
2010 – 2019
- 2018
- [c2]Guiliang Liu, Wang Zhu, Oliver Schulte:
Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL. MLSA@PKDD/ECML 2018: 69-81 - [c1]Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li:
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. ECML/PKDD (2) 2018: 414-429 - [i1]Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li:
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. CoRR abs/1807.05887 (2018)
Coauthor Index
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