Yushi Cao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Software Testing

Reinforcement Learning

Artificial Neural Network Models

Top Venues

Publications

Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu
Logic-guided Deep Reinforcement Learning for Stock Trading. Tiny Papers @ ICLR (2024)
Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu
Unveiling Project-Specific Bias in Neural Code Models. LREC/COLING (2024)
Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu
LLMs for Relational Reasoning: How Far are We? CoRR (2024)
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR (2023)
Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu
Logic-guided Deep Reinforcement Learning for Stock Trading. CoRR (2023)
Yushi Cao, Yanran Li, Yon Shin Teo, Yan Zheng, Zhexin Liang, Shang-Wei Lin
An Automatic Test Plan Generation Approach for Automotive Software Testing. SoMeT (2023)
Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. CoRR (2022)
Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. NeurIPS (2022)
Yushi Cao, Yon Shin Teo, Yan Zheng, Yuxuan Toh, Shang-Wei Lin
A Holistic Automated Software Structure Exploration Framework for Testing. SoMeT (2022)
Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici
Fair and accurate age prediction using distribution aware data curation and augmentation. WACV (2022)
Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu
Unveiling Project-Specific Bias in Neural Code Models. CoRR (2022)
Yushi Cao, Yan Zheng, Shang-Wei Lin, Yang Liu, Yon Shin Teo, Yuxuan Toh, Vinay Vishnumurthy Adiga
Automatic HMI Structure Exploration Via Curiosity-Based Reinforcement Learning. ASE (2021)
Yushi Cao, David Berend, Palina Tolmach, Moshe Levy, Guy Amit, Asaf Shabtai, Yuval Elovici, Yang Liu
Fairness Matters - A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems. CoRR (2020)