Yushi Cao

According to our database, Yushi Cao authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency.

Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

LLMs for Relational Reasoning: How Far are We?

Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu

LLM4CODE@ICSE, 2024

Improving Neural Logic Machines via Failure Reflection.

Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Logic-guided Deep Reinforcement Learning for Stock Trading.

Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Unveiling Project-Specific Bias in Neural Code Models.

Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Do We Really Need Graph Neural Networks for Traffic Forecasting?

Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann

CoRR, 2023

An Automatic Test Plan Generation Approach for Automotive Software Testing.

Yushi Cao, Yanran Li, Yon Shin Teo, Yan Zheng, Zhexin Liang, Shang-Wei Lin

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2023

2022

Unveiling Project-Specific Bias in Neural Code Models.

Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu

CoRR, 2022

Fair and accurate age prediction using distribution aware data curation and augmentation.

Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Holistic Automated Software Structure Exploration Framework for Testing.

Yushi Cao, Yon Shin Teo, Yan Zheng, Yuxuan Toh, Shang-Wei Lin

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022

GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis.

Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu

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

2021

Automatic HMI Structure Exploration Via Curiosity-Based Reinforcement Learning.

Yushi Cao, Yan Zheng, Shang-Wei Lin, Yang Liu, Yon Shin Teo, Yuxuan Toh, Vinay Vishnumurthy Adiga

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

Fairness Matters - A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems.

Yushi Cao, David Berend, Palina Tolmach, Moshe Levy, Guy Amit, Asaf Shabtai, Yuval Elovici, Yang Liu

CoRR, 2020