Zhou Yang - RankMe

97 papers A* 11A 14Journal 66Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated TEE Adaptation With LLMs: Identifying, Transforming, and Porting Sensitive Functions in Programs. IEEE Trans. Software Eng. Ruidong Han, Zhou Yang, Chengyan Ma, Ye Liu, Yuqing Niu, Siqi Ma, Debin Gao, David Lo
2026	J	`jnl`	Compiling Code LLMs into Lightweight Executables. CoRR Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, David Lo
2026	J	`jnl`	Ecosystem of Large Language Models for Code. ACM Trans. Softw. Eng. Methodol. Zhou Yang, Jieke Shi, Premkumar T. Devanbu, David Lo
2026	J	`jnl`	Finding Memory Leaks in C/C++ Programs via Neuro-Symbolic Augmented Static Analysis. CoRR Huihui Huang, Jieke Shi, Bo Wang, Zhou Yang, David Lo
2026	J	`jnl`	Hidden Licensing Risks in the LLMware Ecosystem. CoRR Bo Wang, Yueyang Chen, Jieke Shi, Minghui Li, Yunbo Lyu, Yinan Wu, Youfang Lin, Zhou Yang
2026	J	`jnl`	Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. AI Ethics Zichong Wang, Zhou Yang, David Lo, Wenbin Zhang
2026	J	`jnl`	Watermarking LLM Agent Trajectories. CoRR Wenlong Meng, Chen Gong, Terry Yue Zhuo, Fan Zhang, Kecen Li, Zheng Liu, Zhou Yang, Chengkun Wei, Wenzhi Chen
2025	A*	`conf`	"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants. ASE Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo
2025	J	`jnl`	"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants. CoRR Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo
2025	J	`jnl`	AutoTEE: Automated Migration and Protection of Programs in Trusted Execution Environments. CoRR Ruidong Han, Zhou Yang, Chengyan Ma, Ye Liu, Yuqing Niu, Siqi Ma, Debin Gao, David Lo
2025	A*	`conf`	Backdoors in Code Summarizers: How Bad Is It? ASE Chenyu Wang, Zhou Yang, Yaniv Harel, David Lo
2025	J	`jnl`	Curiosity-Driven Testing for Sequential Decision-Making Process. CoRR Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2025	A*	`conf`	Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? ACM Multimedia Yunbo Lyu, Zhou Yang, Yuqing Niu, Jing Jiang, David Lo
2025	J	`jnl`	Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? CoRR Yunbo Lyu, Zhou Yang, Yuqing Niu, Jing Jiang, David Lo
2025	J	`jnl`	Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead. ACM Trans. Softw. Eng. Methodol. Jieke Shi, Zhou Yang, David Lo
2025	J	`jnl`	Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. ACM Trans. Softw. Eng. Methodol. Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo
2025	J	`jnl`	Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports. CoRR Bo Wang, Pengyang Wang, Chong Chen, Qi Sun, Jieke Shi, Chengran Yang, Ming Deng, Youfang Lin, Zhou Yang, David Lo
2025	J	`jnl`	PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models. Empir. Softw. Eng. Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo
2025	J	`jnl`	Prioritizing Speech Test Cases. ACM Trans. Softw. Eng. Methodol. Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, Dong-Gyun Han, David Lo
2025	J	`jnl`	SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents. CoRR Jianming Chang, Jieke Shi, Yunbo Lyu, Xin Zhou, Lulu Wang, Zhou Yang, Bixin Li, David Lo
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	A*	`conf`	Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand. ASE Zhensu Sun, Chengran Yang, Xiaoning Du, Zhou Yang, Li Li, David Lo
2025	J	`jnl`	Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand. CoRR Zhensu Sun, Chengran Yang, Xiaoning Du, Zhou Yang, Li Li, David Lo
2025	J	`jnl`	Which Factors Make Code LLMs More Vulnerable to Backdoor Attacks? A Systematic Study. CoRR Chenyu Wang, Zhou Yang, Yaniv Harel, David Lo
2024	J	`jnl`	AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation. CoRR Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo
2024	A	`conf`	AI Coders Are among Us: Rethinking Programming Language Grammar towards Efficient Code Generation. ISSTA Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo
2024	—	`conf`	Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. SEET@ICSE Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim
2024	J	`jnl`	Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. CoRR Wei Hung Pan, Ming Jie Chok, Jonathan Leong Shan Wong, Yung Xin Shin, Yeong Shian Poon, Zhou Yang, Chun Yong Chong, David Lo, Mei Kuan Lim
2024	A*	`conf`	Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang
2024	—	`conf`	Classifying Source Code: How Far Can Compressor-based Classifiers Go? ICSE Companion Zhou Yang
2024	A*	`conf`	Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2024	J	`jnl`	Ecosystem of Large Language Models for Code. CoRR Zhou Yang, Jieke Shi, David Lo
2024	J	`jnl`	Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead. CoRR Jieke Shi, Zhou Yang, David Lo
2024	J	`jnl`	Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. CoRR Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo
2024	J	`jnl`	Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. IEEE Trans. Software Eng. Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2024	—	`conf`	Greening Large Language Models of Code. ICSE (SEIS) Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
2024	J	`jnl`	Hotfixing Large Language Models for Code: How Far Can Parameter-Efficient Fine-Tuning Go? CoRR Zhou Yang, David Lo
2024	J	`jnl`	Large Language Models for Software Engineering: A Systematic Literature Review. ACM Trans. Softw. Eng. Methodol. Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, Haoyu Wang
2024	J	`jnl`	PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, Jiakun Liu, Zhipeng Zhao, David Lo
2024	J	`jnl`	Quality Assurance for Artificial Intelligence: A Study of Industrial Concerns, Challenges and Best Practices. CoRR Chenyu Wang, Zhou Yang, Ze Shi Li, Daniela E. Damian, David Lo
2024	J	`jnl`	Representation Learning for Stack Overflow Posts: How Far Are We? ACM Trans. Softw. Eng. Methodol. Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo
2024	J	`jnl`	Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code. CoRR Zhou Yang, Zhensu Sun, Terry Yue Zhuo, Premkumar T. Devanbu, David Lo
2024	J	`jnl`	Stealthy Backdoor Attack for Code Models. IEEE Trans. Software Eng. Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
2024	J	`jnl`	Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies. CoRR Jieke Shi, Junda He, Zhou Yang, Dorde Zikelic, David Lo
2024	A*	`conf`	Unveiling Memorization in Code Models. ICSE Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2023	J	`jnl`	APIHarvest: Harvesting API Information from Various Online Sources. CoRR Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo
2023	J	`jnl`	APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge. CoRR Kisub Kim, Ferdian Thung, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo
2023	A	`conf`	ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. ICST Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, David Lo
2023	J	`jnl`	ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. CoRR Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, David Lo
2023	J	`jnl`	Adversarial Attacks on Code Models with Discriminative Graph Patterns. CoRR Thanh-Dat Nguyen, Zhou Yang, Xuan-Bach Dinh Le, Patanamon Thongtanunam, David Lo
2023	A	`conf`	CCBERT: Self-Supervised Code Change Representation Learning. ICSME Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
2023	J	`jnl`	CCBERT: Self-Supervised Code Change Representation Learning. CoRR Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
2023	J	`jnl`	Data Augmentation Approaches for Source Code Models: A Survey. CoRR Terry Yue Zhuo, Zhou Yang, Zhensu Sun, Yufei Wang, Li Li, Xiaoning Du, Zhenchang Xing, David Lo
2023	A	`conf`	Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches. SANER Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo
2023	J	`jnl`	Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. CoRR Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2023	J	`jnl`	Large Language Models for Software Engineering: A Systematic Literature Review. CoRR Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John C. Grundy, Haoyu Wang
2023	A	`conf`	NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. MSR Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo
2023	J	`jnl`	NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. CoRR Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo
2023	J	`jnl`	Prioritizing Speech Test Cases. CoRR Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo
2023	J	`jnl`	Representation Learning for Stack Overflow Posts: How Far are We? CoRR Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo
2023	J	`jnl`	Stealthy Backdoor Attack for Code Models. CoRR Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
2023	—	`ch.`	Supporting Collateral Evolution in Software Ecosystems. Software Ecosystems: Tooling and Analytics Zhou Yang, Bowen Xu, David Lo
2023	A	`conf`	Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. ISSTA Julia Kaiwen Lau, Kelvin Kai Wen Kong, Julian Hao Yong, Per Hoong Tan, Zhou Yang, Zi Qian Yong, Joshua Chern Wey Low, Chun Yong Chong, Mei Kuan Lim, David Lo
2023	J	`jnl`	Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. CoRR Julia Kaiwen Lau, Kelvin Kai Wen Kong, Julian Hao Yong, Per Hoong Tan, Zhou Yang, Zi Qian Yong, Joshua Chern Wey Low, Chun Yong Chong, Mei Kuan Lim, David Lo
2023	J	`jnl`	Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. CoRR Zichong Wang, Zhou Yang, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang
2023	J	`jnl`	Towards Smaller, Faster, and Greener Language Models of Code. CoRR Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
2023	J	`jnl`	What Do Code Models Memorize? An Empirical Study on Large Language Models of Code. CoRR Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2023	A	`conf`	What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. MSR Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
2023	J	`jnl`	What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. CoRR Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
2022	A*	`conf`	Answer Summarization for Technical Queries: Benchmark and New Approach. ASE Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	J	`jnl`	Answer Summarization for Technical Queries: Benchmark and New Approach. CoRR Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	A	`conf`	Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? SANER Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo
2022	J	`jnl`	Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? CoRR Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo
2022	J	`jnl`	BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. IEEE Trans. Software Eng. Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, David Lo
2022	A	`conf`	Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? SANER Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo
2022	J	`jnl`	Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? CoRR Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo
2022	A*	`conf`	Compressing Pre-trained Models of Code into 3 MB. ASE Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo
2022	J	`jnl`	Compressing Pre-trained Models of Code into 3 MB. CoRR Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo
2022	A	`conf`	Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan
2022	J	`jnl`	Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo
2022	A*	`conf`	Natural Attack for Pre-trained Models of Code. ICSE Zhou Yang, Jieke Shi, Junda He, David Lo
2022	J	`jnl`	Natural Attack for Pre-trained Models of Code. CoRR Zhou Yang, Jieke Shi, Junda He, David Lo
2022	J	`jnl`	PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
2022	A	`conf`	PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models. ICPC Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
2022	A	`conf`	Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. SANER Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
2022	J	`jnl`	Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. CoRR Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
2021	J	`jnl`	BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. CoRR Muhammad Hilmi Asyrofi, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, Zhou Yang, David Lo
2021	A	`conf`	BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems. ICSME Zhou Yang, Harshit Jain, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
2021	J	`jnl`	BiasRV: Uncovering Biased Sentiment Predictions at Runtime. CoRR Zhou Yang, Muhammad Hilmi Asyrofi, David Lo
2021	—	`conf`	BiasRV: uncovering biased sentiment predictions at runtime. ESEC/SIGSOFT FSE Zhou Yang, Muhammad Hilmi Asyrofi, David Lo
2021	A	`conf`	Can Differential Testing Improve Automatic Speech Recognition Systems? ICSME Muhammad Hilmi Asyrofi, Zhou Yang, Jieke Shi, Chu Wei Quan, David Lo
2021	J	`jnl`	CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition. CoRR Muhammad Hilmi Asyrofi, Zhou Yang, David Lo
2021	—	`conf`	CrossASR++: a modular differential testing framework for automatic speech recognition. ESEC/SIGSOFT FSE Muhammad Hilmi Asyrofi, Zhou Yang, David Lo
2021	A*	`conf`	IncBL: Incremental Bug Localization. ASE Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
2021	J	`jnl`	IncBL: Incremental Bug Localization. CoRR Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
2020	J	`jnl`	An auction-based rescue task allocation approach for heterogeneous multi-robot system. Multim. Tools Appl. Jieke Shi, Zhou Yang, Junwu Zhu
2019	J	`jnl`	A real-time decentralized algorithm for task scheduling in multi-agent system with continuous damage. Appl. Soft Comput. Junwu Zhu, Jieke Shi, Zhou Yang, Bin Li