Wang Zhu

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 12

Top Topics

Linear Transformations

Reasoning Systems

Top Venues

Publications

Hailin Cao, Wang Zhu, Wenjuan Feng, Jin Fan
Robust Beamforming Based on Graph Attention Networks for IRS-Assisted Satellite IoT Communications. Entropy 24 (3) (2022)
Yejia Liu, Wang Zhu, Shaolei Ren
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning. CoRR (2022)
Wang Zhu, Jesse Thomason, Robin Jia
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems. CoRR (2022)
Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason J. Corso, Peter Anderson, Stefan Lee, Jesse Thomason
Iterative Vision-and-Language Navigation. CoRR (2022)
Wang Zhu, Peter Shaw, Tal Linzen, Fei Sha
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks. CoRR (2021)
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 (2020)
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)
Xuegui Zhu, Yu Shu, Chaopeng Luo, Fushuo Huo, Wang Zhu
Transient Electromagnetic Voltage Imaging of Dense UXO-Like Targets Based on Improved Mathematical Morphology. IEEE Access 8 (2020)
Wang Zhu, Tianyu Liu
A Novel Multi-Objective Scheduling Method for Energy Based Unrelated Parallel Machines With Auxiliary Resource Constraints. IEEE Access 7 (2019)
Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. ECML/PKDD (2) (2018)
Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. CoRR (2018)
Guiliang Liu, Wang Zhu, Oliver Schulte
Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL. MLSA@PKDD/ECML (2018)