A real-time decentralized algorithm for task scheduling in multi-agent system with continuous damage. - Junwu Zhu; Jieke Shi; Zhou Yang 003; Bin Li 006 (Appl. Soft Comput., 2019)

An auction-based rescue task allocation approach for heterogeneous multi-robot system. - Jieke Shi; Zhou Yang 003; Junwu Zhu (Multim. Tools Appl., 2020)

Can Differential Testing Improve Automatic Speech Recognition Systems? - Muhammad Hilmi Asyrofi; Zhou Yang 003; Jieke Shi; Chu Wei Quan; David Lo 001 (ICSME, 2021)

BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems. - Zhou Yang 003; Harshit Jain; Jieke Shi; Muhammad Hilmi Asyrofi; David Lo 001 (ICSME, 2021)

IncBL: Incremental Bug Localization. - Zhou Yang 003; Jieke Shi; Shaowei Wang 002; David Lo 001 (ASE, 2021)

CrossASR++: a modular differential testing framework for automatic speech recognition. - Muhammad Hilmi Asyrofi; Zhou Yang 003; David Lo 001 (ESEC/SIGSOFT FSE, 2021)

BiasRV: uncovering biased sentiment predictions at runtime. - Zhou Yang 003; Muhammad Hilmi Asyrofi; David Lo 001 (ESEC/SIGSOFT FSE, 2021)

Curiosity-Driven and Victim-Aware Adversarial Policies. - Chen Gong 005; Zhou Yang 003; Yunpeng Bai; Jieke Shi; Arunesh Sinha; Bowen Xu; David Lo 001; Xinwen Hou; Guoliang Fan (ACSAC, 2022)

Natural Attack for Pre-trained Models of Code. - Zhou Yang 003; Jieke Shi; Junda He; David Lo 001 (ICSE, 2022)

PTM4Tag: sharpening tag recommendation of stack overflow posts with pre-trained models. - Junda He; Bowen Xu; Zhou Yang 003; DongGyun Han; Chengran Yang; David Lo 001 (ICPC, 2022)

Compressing Pre-trained Models of Code into 3 MB. - Jieke Shi; Zhou Yang 003; Bowen Xu; Hong Jin Kang; David Lo 001 (ASE, 2022)

Answer Summarization for Technical Queries: Benchmark and New Approach. - Chengran Yang; Bowen Xu; Ferdian Thung; Yucen Shi; Ting Zhang 011; Zhou Yang 003; Xin Zhou 014; Jieke Shi; Junda He; DongGyun Han; David Lo 001 (ASE, 2022)

Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? - Jieke Shi; Zhou Yang 003; Junda He; Bowen Xu; David Lo 001 (SANER, 2022)

Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. - Zhou Yang 003; Jieke Shi; Muhammad Hilmi Asyrofi; David Lo 001 (SANER, 2022)

Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? - Chengran Yang; Bowen Xu; Junaed Younus Khan; Gias Uddin 001; DongGyun Han; Zhou Yang 003; David Lo 001 (SANER, 2022)

Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. - Chen Gong 005; Zhou Yang 003; Yunpeng Bai; Junda He; Jieke Shi; Arunesh Sinha; Bowen Xu; Xinwen Hou; Guoliang Fan; David Lo 001 (CoRR, 2022)

BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems. - Muhammad Hilmi Asyrofi; Zhou Yang 003; Imam Nur Bani Yusuf; Hong Jin Kang; Ferdian Thung; David Lo 001 (IEEE Trans. Software Eng., 2022)

CCBERT: Self-Supervised Code Change Representation Learning. - Xin Zhou 014; Bowen Xu; DongGyun Han; Zhou Yang 003; Junda He; David Lo 001 (ICSME, 2023)

ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems. - Daniel Hao Xian Yuen; Andrew Yong Chen Pang; Zhou Yang 003; Chun Yong Chong; Mei Kuan Lim; David Lo 001 (ICST, 2023)

Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing. - Julia Kaiwen Lau; Kelvin Kai Wen Kong; Julian Hao Yong; Per Hoong Tan; Zhou Yang 003; Zi Qian Yong; Joshua Chern Wey Low; Chun Yong Chong; Mei Kuan Lim; David Lo 001 (ISSTA, 2023)

NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python. - Ratnadira Widyasari; Zhou Yang 003; Ferdian Thung; Sheng Qin Sim; Fiona Wee; Camellia Lok; Jack Phan; Haodi Qi; Constance Tan; Qijin Tay; David Lo 001 (MSR, 2023)

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. - Zhou Yang 003; Chenyu Wang 005; Jieke Shi; Thong Hoang; Pavneet Singh Kochhar; Qinghua Lu 001; Zhenchang Xing; David Lo 001 (MSR, 2023)

Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches. - Lin Sze Khoo; Jia Qi Bay; Ming Lee Kimberly Yap; Mei Kuan Lim; Chun Yong Chong; Zhou Yang 003; David Lo 001 (SANER, 2023)

Prioritizing Speech Test Cases. - Zhou Yang 003; Jieke Shi; Muhammad Hilmi Asyrofi; Bowen Xu; Xin Zhou 014; DongGyun Han; David Lo 001 (CoRR, 2023)

APIHarvest: Harvesting API Information from Various Online Sources. - Ferdian Thung; Kisub Kim; Ting Zhang 011; Ivana Clairine Irsan; Ratnadira Widyasari; Zhou Yang 003; David Lo 001 (CoRR, 2023)

APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge. - Kisub Kim; Ferdian Thung; Ting Zhang 011; Ivana Clairine Irsan; Ratnadira Widyasari; Zhou Yang 003; David Lo 001 (CoRR, 2023)

Data Augmentation Approaches for Source Code Models: A Survey. - Terry Yue Zhuo; Zhou Yang 003; Zhensu Sun; Yufei Wang; Li Li 029; Xiaoning Du 001; Zhenchang Xing; David Lo 001 (CoRR, 2023)

What Do Code Models Memorize? An Empirical Study on Large Language Models of Code. - Zhou Yang 003; Zhipeng Zhao; Chenyu Wang 005; Jieke Shi; Dongsun Kim 001; DongGyun Han; David Lo 001 (CoRR, 2023)

Towards Smaller, Faster, and Greener Language Models of Code. - Jieke Shi; Zhou Yang 003; Hong Jin Kang; Bowen Xu; Junda He; David Lo 001 (CoRR, 2023)

Unveiling Memorization in Code Models. - Zhou Yang 003; Zhipeng Zhao; Chenyu Wang 005; Jieke Shi; Dongsun Kim 001; DongGyun Han; David Lo 001 (ICSE, 2024)

Curiosity-Driven Testing for Sequential Decision-Making Process. - Junda He; Zhou Yang 003; Jieke Shi; Chengran Yang; Kisub Kim; Bowen Xu; Xin Zhou 014; David Lo 001 (ICSE, 2024)

Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education. - Wei Hung Pan; Ming Jie Chok; Jonathan Leong Shan Wong; Yung Xin Shin; Yeong Shian Poon; Zhou Yang 003; Chun Yong Chong; David Lo 001; Mei Kuan Lim (SEET@ICSE, 2024)

Greening Large Language Models of Code. - Jieke Shi; Zhou Yang 003; Hong Jin Kang; Bowen Xu; Junda He; David Lo 001 (ICSE (SEIS), 2024)

Classifying Source Code: How Far Can Compressor-based Classifiers Go? - Zhou Yang 003 (ICSE Companion, 2024)

AI Coders Are among Us: Rethinking Programming Language Grammar towards Efficient Code Generation. - Zhensu Sun; Xiaoning Du 001; Zhou Yang 003; Li Li 029; David Lo 001 (ISSTA, 2024)

Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. - Chen Gong 005; Zhou Yang 003; Yunpeng Bai; Junda He; Jieke Shi; Kecen Li; Arunesh Sinha; Bowen Xu; Xinwen Hou; David Lo 001; Tianhao Wang 001 (SP, 2024)

Quality Assurance for Artificial Intelligence: A Study of Industrial Concerns, Challenges and Best Practices. - Chenyu Wang 005; Zhou Yang 003; Ze Shi Li; Daniela E. Damian; David Lo 001 (CoRR, 2024)

Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code. - Zhou Yang 003; Zhensu Sun; Terry Yue Zhuo; Premkumar T. Devanbu; David Lo 001 (CoRR, 2024)

Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead. - Jieke Shi; Zhou Yang 003; David Lo 001 (CoRR, 2024)

Ecosystem of Large Language Models for Code. - Zhou Yang 003; Jieke Shi; David Lo 001 (CoRR, 2024)

Hotfixing Large Language Models for Code: How Far Can Parameter-Efficient Fine-Tuning Go? - Zhou Yang 003; David Lo 001 (CoRR, 2024)

Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies. - Jieke Shi; Junda He; Zhou Yang 003; Dorde Zikelic; David Lo 001 (CoRR, 2024)

Representation Learning for Stack Overflow Posts: How Far Are We? - Junda He; Xin Zhou 014; Bowen Xu; Ting Zhang 011; Kisub Kim; Zhou Yang 003; Ferdian Thung; Ivana Clairine Irsan; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Stealthy Backdoor Attack for Code Models. - Zhou Yang 003; Bowen Xu; Jie M. Zhang; Hong Jin Kang; Jieke Shi; Junda He; David Lo 001 (IEEE Trans. Software Eng., 2024)

Large Language Models for Software Engineering: A Systematic Literature Review. - Xinyi Hou; Yanjie Zhao 001; Yue Liu 011; Zhou Yang 003; Kailong Wang 001; Li Li 029; Xiapu Luo; David Lo 001; John Grundy 001; Haoyu Wang 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. - Zhou Yang 003; Zhipeng Zhao; Chenyu Wang 005; Jieke Shi; Dongsun Kim 001; DongGyun Han; David Lo 001 (IEEE Trans. Software Eng., 2024)

Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? - Yunbo Lyu; Zhou Yang 003; Yuqing Niu; Jing Jiang; David Lo 001 (CoRR, 2025)

AutoTEE: Automated Migration and Protection of Programs in Trusted Execution Environments. - Ruidong Han; Zhou Yang 003; Chengyan Ma 001; Ye Liu 012; Yuqing Niu; Siqi Ma; Debin Gao; David Lo 001 (CoRR, 2025)

PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models. - Junda He; Bowen Xu; Zhou Yang 003; DongGyun Han; Chengran Yang; Jiakun Liu; Zhipeng Zhao; David Lo 001 (Empir. Softw. Eng., 2025)

Prioritizing Speech Test Cases. - Zhou Yang 003; Jieke Shi; Muhammad Hilmi Asyrofi; Bowen Xu; Xin Zhou 014; Dong-Gyun Han; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Which Factors Make Code LLMs More Vulnerable to Backdoor Attacks? A Systematic Study. - Chenyu Wang 005; Zhou Yang 003; Yaniv Harel; David Lo 001 (CoRR, 2025)

Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead. - Jieke Shi; Zhou Yang 003; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)

SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents. - Jianming Chang; Jieke Shi; Yunbo Lyu; Xin Zhou 014; Lulu Wang 001; Zhou Yang 003; Bixin Li; David Lo 001 (CoRR, 2025)

Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports. - Bo Wang 050; Pengyang Wang; Chong Chen; Qi Sun; Jieke Shi; Chengran Yang; Ming Deng; Youfang Lin; Zhou Yang 003; David Lo 001 (CoRR, 2025)

"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants. - Yunbo Lyu; Zhou Yang 003; Jieke Shi; Jianming Chang; Yue Liu 011; David Lo 001 (CoRR, 2025)

Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. - Jieke Shi; Zhou Yang 003; Junda He; Bowen Xu; Dongsun Kim 001; DongGyun Han; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)