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 | 15 | 2023 |
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 | 11 | 2022 |
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 | 10 | 2022 |
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 | 2 | 2024 |
Unveiling project-specific bias in neural code models Z Li, Y Li, T Li, M Du, B Wu, Y Cao, J Jiang, Y Liu arXiv preprint arXiv:2201.07381, 2022 | 1 | 2022 |
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 |