Yushi Cao

According to our database, Yushi Cao authored at least 21 papers between 2020 and 2026.

Collaborative distances:

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

2026

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics.

Aishik Nagar, Arun-Kumar Kaliya-Perumal, Yu-Hsuan Han, Andrew Sheng-Han Huang, Kristen Kee, Yushi Cao, Yiming Chen, Hongchao Jiang

CoRR, May, 2026

ReMedi: Reasoner for Medical Clinical Prediction.

Yushi Cao, Yiming Chen, Hongchao Jiang, Hung-yi Lee, Robby T. Tan

CoRR, May, 2026

CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks.

Hongchao Jiang, Yiming Chen, Yushi Cao, Hung-Yi Lee, Robby T. Tan

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

SOSAE: Self-Organizing Sparse AutoEncoder.

Sarthak Ketanbhai Modi, Zi Pong Lim, Yushi Cao, Yupeng Cheng, Yon Shin Teo, Shangwei Lin

CoRR, July, 2025

Towards Calibration Enhanced Network by Inverse Adversarial Attack.

Yupeng Cheng, Zi Pong Lim, Sarthak Ketanbhai Modi, Yon Shin Teo, Yushi Cao, Shangwei Lin

CoRR, April, 2025

Enhancing Vulnerability Detection via Inter-procedural Semantic Completion.

Bozhi Wu, Chengjie Liu, Zhiming Li, Yushi Cao, Jun Sun, Shangwei Lin

Proc. ACM Softw. Eng., 2025

Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Towards a More Robust and Accurate OCR Model with Adversarial Techniques in HMI Testing Scenarios.

Yupeng Cheng, Zi Pong Lim, Sarthak Ketanbhai Modi, Yon Shin Teo, Yushi Cao, Shangwei Lin

Proceedings of the IEEE Conference on Artificial Intelligence, 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