Zhou Yang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 41

Top Topics

Tag Recommendation

Reinforcement Learning

Top Venues

Publications

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
Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. SEET@ICSE (2024)
Zhou Yang, Jieke Shi, David Lo
Ecosystem of Large Language Models for Code. CoRR (2024)
Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo
Representation Learning for Stack Overflow Posts: How Far Are We? ACM Trans. Softw. Eng. Methodol. 33 (3) (2024)
Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo
AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation. CoRR (2024)
Jieke Shi, Zhou Yang, David Lo
Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead. CoRR (2024)
Chenyu Wang, Zhou Yang, Ze Shi Li, Daniela E. Damian, David Lo
Quality Assurance for Artificial Intelligence: A Study of Industrial Concerns, Challenges and Best Practices. CoRR (2024)
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
Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. CoRR (2024)
Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
Greening Large Language Models of Code. ICSE (SEIS) (2024)
Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
Stealthy Backdoor Attack for Code Models. IEEE Trans. Software Eng. 50 (4) (2024)
Zhou Yang, Zhensu Sun, Terry Yue Zhuo, Premkumar T. Devanbu, David Lo
Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code. CoRR (2024)
Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
Unveiling Memorization in Code Models. ICSE (2024)
Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE (2024)
Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo
NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. CoRR (2023)
Ferdian Thung, Kisub Kim, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo
APIHarvest: Harvesting API Information from Various Online Sources. CoRR (2023)
Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, Qijin Tay, David Lo
NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. MSR (2023)
Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
CCBERT: Self-Supervised Code Change Representation Learning. CoRR (2023)
Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. CoRR (2023)
Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo
Prioritizing Speech Test Cases. CoRR (2023)
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
Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. ISSTA (2023)
Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
CCBERT: Self-Supervised Code Change Representation Learning. ICSME (2023)
Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. MSR (2023)
Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
Stealthy Backdoor Attack for Code Models. CoRR (2023)
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
Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. CoRR (2023)
Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. CoRR (2023)
Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
What Do Code Models Memorize? An Empirical Study on Large Language Models of Code. CoRR (2023)
Kisub Kim, Ferdian Thung, Ting Zhang, Ivana Clairine Irsan, Ratnadira Widyasari, Zhou Yang, David Lo
APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge. CoRR (2023)
Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
Towards Smaller, Faster, and Greener Language Models of Code. CoRR (2023)
Daniel Hao Xian Yuen, Andrew Yong Chen Pang, Zhou Yang, Chun Yong Chong, Mei Kuan Lim, David Lo
ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. ICST (2023)
Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
Answer Summarization for Technical Queries: Benchmark and New Approach. CoRR (2022)
Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. SANER (2022)
Zhou Yang, Jieke Shi, Junda He, David Lo
Natural Attack for Pre-trained Models of Code. ICSE (2022)
Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo
Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? SANER (2022)
Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan
Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC (2022)
Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf, Hong Jin Kang, Ferdian Thung, David Lo
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. IEEE Trans. Software Eng. 48 (12) (2022)
Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models. CoRR (2022)
Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo
Compressing Pre-trained Models of Code into 3 MB. CoRR (2022)
Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo
Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR (2022)
Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo
Compressing Pre-trained Models of Code into 3 MB. ASE (2022)
Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
Answer Summarization for Technical Queries: Benchmark and New Approach. ASE (2022)
Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? SANER (2022)
Junda He, Bowen Xu, Zhou Yang, DongGyun Han, Chengran Yang, David Lo
PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models. ICPC (2022)