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Yushi Cao
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Do we really need graph neural networks for traffic forecasting?
X Liu, Y Liang, C Huang, H Hu, Y Cao, B Hooi, R Zimmermann
arXiv preprint arXiv:2301.12603, 2023
152023
Fair and accurate age prediction using distribution aware data curation and augmentation
Y Cao, D Berend, P Tolmach, G Amit, M Levy, Y Liu, A Shabtai, Y Elovici
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
102022
GALOIS: boosting deep reinforcement learning via generalizable logic synthesis
Y Cao, Z Li, T Yang, H Zhang, Y Zheng, Y Li, J Hao, Y Liu
Advances in Neural Information Processing Systems 35, 19930-19943, 2022
92022
Automatic HMI structure exploration via curiosity-based reinforcement learning
Y Cao, Y Zheng, SW Lin, Y Liu, YS Teo, Y Toh, VV Adiga
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
6*2021
LLMs for Relational Reasoning: How Far are We?
Z Li, Y Cao, X Xu, J Jiang, X Liu, YS Teo, S Lin, Y Liu
arXiv preprint arXiv:2401.09042, 2024
12024
Unveiling project-specific bias in neural code models
Z Li, Y Li, T Li, M Du, B Wu, Y Cao, X Xie, Y Li, Y Liu
arXiv preprint arXiv:2201.07381, 2022
12022
Improving Neural Program Induction by Reflecting on Failures
Z Li, Y Cao, X Xu, X Liu, YS Teo, J Jiang, B Wu, T Li, SW Lin, Y Liu
2023
Logic-guided Deep Reinforcement Learning for Stock Trading
Z Li, J Jiang, Y Cao, A Cui, B Wu, B Li, Y Liu
arXiv preprint arXiv:2310.05551, 2023
2023
An Automatic Test Plan Generation Approach for Automotive Software Testing
H Fujita, G Guizzi
New Trends in Intelligent Software Methodologies, Tools and Techniques …, 2023
2023
A Holistic Automated Software Structure Exploration Framework for Testing
H Fujita
New Trends in Intelligent Software Methodologies, Tools and Techniques …, 2022
2022
SimST: A GNN-Free Spatio-Temporal Learning Framework for Traffic Forecasting
X Liu, Y Liang, C Huang, H Hu, Y Cao, B Hooi, R Zimmermann
2022
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