Yushi Cao - RankMe

22 papers A* 4A 1C 2Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks. CoRR Hongchao Jiang, Yiming Chen, Yushi Cao, Hung-yi Lee, Robby T. Tan
2025	J	`jnl`	Enhancing Vulnerability Detection via Inter-procedural Semantic Completion. Proc. ACM Softw. Eng. Bozhi Wu, Chengjie Liu, Zhiming Li, Yushi Cao, Jun Sun, Shangwei Lin
2025	A*	`conf`	Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning. AAAI Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Danny Dongning Sun
2025	J	`jnl`	SOSAE: Self-Organizing Sparse AutoEncoder. CoRR Sarthak Ketanbhai Modi, Zi Pong Lim, Yushi Cao, Yupeng Cheng, Yon Shin Teo, Shangwei Lin
2025	J	`jnl`	Towards Calibration Enhanced Network by Inverse Adversarial Attack. CoRR Yupeng Cheng, Zi Pong Lim, Sarthak Ketanbhai Modi, Yon Shin Teo, Yushi Cao, Shangwei Lin
2024	A*	`conf`	Improving Neural Logic Machines via Failure Reflection. ICML Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu
2024	—	`conf`	LLMs for Relational Reasoning: How Far are We? LLM4CODE@ICSE Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu
2024	J	`jnl`	LLMs for Relational Reasoning: How Far are We? CoRR Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu
2024	—	`conf`	Logic-guided Deep Reinforcement Learning for Stock Trading. Tiny Papers @ ICLR Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu
2024	—	`conf`	Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency. ECML/PKDD (3) Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2024	—	`conf`	Towards a More Robust and Accurate OCR Model with Adversarial Techniques in HMI Testing Scenarios. CAI Yupeng Cheng, Zi Pong Lim, Sarthak Ketanbhai Modi, Yon Shin Teo, Yushi Cao, Shangwei Lin
2024	—	`conf`	Unveiling Project-Specific Bias in Neural Code Models. LREC/COLING Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu
2023	C	`conf`	An Automatic Test Plan Generation Approach for Automotive Software Testing. SoMeT Yushi Cao, Yanran Li, Yon Shin Teo, Yan Zheng, Zhexin Liang, Shang-Wei Lin
2023	J	`jnl`	Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2023	J	`jnl`	Logic-guided Deep Reinforcement Learning for Stock Trading. CoRR Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu
2022	C	`conf`	A Holistic Automated Software Structure Exploration Framework for Testing. SoMeT Yushi Cao, Yon Shin Teo, Yan Zheng, Yuxuan Toh, Shang-Wei Lin
2022	A	`conf`	Fair and accurate age prediction using distribution aware data curation and augmentation. WACV Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici
2022	A*	`conf`	GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. NeurIPS Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
2022	J	`jnl`	GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. CoRR Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
2022	J	`jnl`	Unveiling Project-Specific Bias in Neural Code Models. CoRR Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu
2021	A*	`conf`	Automatic HMI Structure Exploration Via Curiosity-Based Reinforcement Learning. ASE Yushi Cao, Yan Zheng, Shang-Wei Lin, Yang Liu, Yon Shin Teo, Yuxuan Toh, Vinay Vishnumurthy Adiga
2020	J	`jnl`	Fairness Matters - A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems. CoRR Yushi Cao, David Berend, Palina Tolmach, Moshe Levy, Guy Amit, Asaf Shabtai, Yuval Elovici, Yang Liu