Zhaoyang Chu - RankMe

19 papers A* 1A 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive step-size extragradient algorithm with variance reduction for solving mixed variational inequality problems. Commun. Nonlinear Sci. Numer. Simul. Zhaoyang Chu, Hongwei Liu
2026	J	`jnl`	ContextBench: A Benchmark for Context Retrieval in Coding Agents. CoRR Han Li, Letian Zhu, Bohan Zhang, Rili Feng, Jiaming Wang, Yue Pan, Earl T. Barr, Federica Sarro, Zhaoyang Chu, He Ye
2026	J	`jnl`	ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution Reasoning. CoRR Lingxiao Tang, He Ye, Zhaoyang Chu, Muyang Ye, Zhongxin Liu, Xiaoxue Ren, Lingfeng Bao
2025	J	`jnl`	Bridging Code Graphs and Large Language Models for Better Code Understanding. CoRR Zeqi Chen, Zhaoyang Chu, Yi Gui, Feng Guo, Yao Wan, Chuan Shi
2025	J	`jnl`	CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale. CoRR Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Dongping Chen
2025	J	`jnl`	Can Large Language Models Serve as Evaluators for Code Summarization? IEEE Trans. Software Eng. Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Hai Jin, Philip S. Yu
2025	A*	`conf`	CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale. ICML Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Hai Jin, Dongping Chen
2025	A	`conf`	How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. SANER Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin
2025	J	`jnl`	How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. CoRR Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin
2025	J	`jnl`	Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning. CoRR Zhaoyang Chu, Yao Wan, Zhikun Zhang, Di Wang, Zhou Yang, Hongyu Zhang, Pan Zhou, Xuanhua Shi, Hai Jin, David Lo
2025	—	`conf`	TESTEVAL: Benchmarking Large Language Models for Test Case Generation. NAACL (Findings) Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
2025	—	`conf`	Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency. EMNLP (Findings) Chenlong Wang, Yuanning Feng, Dongping Chen, Zhaoyang Chu, Ranjay Krishna, Tianyi Zhou
2025	J	`jnl`	Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency. CoRR Chenlong Wang, Yuanning Feng, Dongping Chen, Zhaoyang Chu, Ranjay Krishna, Tianyi Zhou
2024	J	`jnl`	Can Large Language Models Serve as Evaluators for Code Summarization? CoRR Yang Wu, Yao Wan, Zhaoyang Chu, Wenting Zhao, Ye Liu, Hongyu Zhang, Xuanhua Shi, Philip S. Yu
2024	A	`conf`	Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. ISSTA Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2024	J	`jnl`	Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. CoRR Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2024	J	`jnl`	TESTEVAL: Benchmarking Large Language Models for Test Case Generation. CoRR Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
2022	J	`jnl`	Hierarchical Graph Representation Learning for the Prediction of Drug-Target Binding Affinity. CoRR Zhaoyang Chu, Shichao Liu, Wen Zhang
2022	J	`jnl`	Hierarchical graph representation learning for the prediction of drug-target binding affinity. Inf. Sci. Zhaoyang Chu, Feng Huang, Haitao Fu, Yuan Quan, Xionghui Zhou, Shichao Liu, Wen Zhang