David Lo

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 567

Top Venues

CoRR

IEEE Trans. Software Eng.

Empir. Softw. Eng.

SANER

Publications

Xin Zhou, Sicong Cao, Xiaobing Sun, David Lo
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead. CoRR (2024)
Yan Lin, Trisha Singhal, Debin Gao, David Lo
Analyzing and revivifying function signature inference using deep learning. Empir. Softw. Eng. 29 (3) (2024)
Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. CoRR (2024)
Jiakun Liu, Zicheng Zhang, Xing Hu, Ferdian Thung, Shahar Maoz, Debin Gao, Eran Toch, Zhipeng Zhao, David Lo
MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating. ICSE (2024)
Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, David Lo, Xiaohu Yang
MUT: Human-in-the-Loop Unit Test Migration. ICSE (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. SEET@ICSE (2024)
Yanming Yang, Xing Hu, Xin Xia, David Lo, Xiaohu Yang
Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine. ICSE (2024)
Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye
DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects. IEEE Trans. Software Eng. 50 (6) (2024)
Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Xiwei Xu, Mark Staples, Thierry Rakotoarivelo, David Lo
A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. USENIX Security Symposium (2024)
Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation. ICSE Companion (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)
Ferdian Thung, Jiakun Liu, Pattarakrit Rattanukul, Shahar Maoz, Eran Toch, Debin Gao, David Lo
Towards Speedy Permission-Based Debloating for Android Apps. MOBILESoft@ICSE (2024)
Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Tianshi Li, Zhenchang Xing, Sherry Xu, Mark Staples, Thierry Rakotoarivelo, David Lo
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation. CoRR (2024)
Hao Gu, Shichao Zhang, Qiao Huang, Zhifang Liao, Jiakun Liu, David Lo
Self-Admitted Technical Debts Identification: How Far Are We? SANER (2024)
Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang
PPT4J: Patch Presence Test for Java Binaries. ICSE (2024)
Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Wei Liu
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. ICSE (2024)
Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li
PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. ICSE (2024)
Xin-Cheng Wen, Xinchen Wang, Yujia Chen, Ruida Hu, David Lo, Cuiyun Gao
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection. CoRR (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)
Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. 50 (2) (2024)
Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR (2024)
Xin Zhou, Duc-Manh Tran, Thanh Le-Cong, Ting Zhang, Ivana Clairine Irsan, Joshua Sumarlin, Bach Le, David Lo
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection. CoRR (2024)
Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang
Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases. ICDE (2024)
Manoj Thulasidas, David Lo
The Grader: A Grading Assistant for Lab Tests and a Teaching Tool. EDUCON (2024)
Xin Zhou, Ting Zhang, David Lo
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. CoRR (2024)
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, David Lo, Taolue Chen
DeCE: Deceptive Cross-Entropy Loss Designed for Defending Backdoor Attacks. CoRR (2024)
Jieke Shi, Zhou Yang, David Lo
Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead. CoRR (2024)
Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo
Demystifying Faulty Code: Step-by-Step Reasoning for Explainable Fault Localization. SANER (2024)
Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang
Exploiting Library Vulnerability via Migration Based Automating Test Generation. ICSE (2024)
Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo
Code Search is All You Need? Improving Code Suggestions with Code Search. ICSE (2024)
Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, Eng Lieh Ouh
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies. 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)
Junda He, Christoph Treude, David Lo
LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead. CoRR (2024)
Junxiao Han, Jiahao Zhang, David Lo, Xin Xia, Shuiguang Deng, Minghui Wu
Understanding Newcomers' Onboarding Process in Deep Learning Projects. IEEE Trans. Software Eng. 50 (3) (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)
Ferdian Thung, Ivana Clairine Irsan, Jiakun Liu, David Lo
Towards Benchmarking the Coverage of Automated Testing Tools in Android against Manual Testing. MOBILESoft@ICSE (2024)
Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo
Regret-based Defense in Adversarial Reinforcement Learning. AAMAS (2024)
Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. ACM Trans. Softw. Eng. Methodol. 33 (5) (2024)
Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo
Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair. CoRR (2024)
Ye Liu, Shuo Li, Xiuheng Wu, Yi Li, Zhiyang Chen, David Lo
Demystifying the Characteristics for Smart Contract Upgrades. CoRR (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)
Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li
Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR (2024)
Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bin Luo
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. ICSE (2024)
Xiaoye Zheng, Zhiyuan Wan, Yun Zhang, Rui Chang, David Lo
A Closer Look at the Security Risks in the Rust Ecosystem. ACM Trans. Softw. Eng. Methodol. 33 (2) (2024)
Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
Unveiling Memorization in Code Models. ICSE (2024)
Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng
Sustainability Forecasting for Deep Learning Packages. SANER (2024)
Ratnadira Widyasari, Jia Wei Ang, Truong Giang Nguyen, Neil Sharma, David Lo
Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization. CoRR (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)
Junxiao Han, Jiakun Liu, David Lo, Chen Zhi, Yishan Chen, Shuiguang Deng
On the sustainability of deep learning projects: Maintainers' perspective. J. Softw. Evol. Process. 36 (7) (2024)
Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo
Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources. ICSE (2024)
Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Haoye Tian, Yewei Song, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation. CoRR (2024)
Ruidong Han, Siqi Ma, Juanru Li, Surya Nepal, David Lo, Zhuo Ma, Jianfeng Ma
Range Specification Bug Detection in Flight Control System Through Fuzzing. IEEE Trans. Software Eng. 50 (3) (2024)
Xin Zhou, DongGyun Han, David Lo
Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction. CoRR (2024)
Xin Zhou, Ting Zhang, David Lo
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. NIER@ICSE (2024)
Sicong Cao, Xiaobing Sun, Xiaoxue Wu, David Lo, Lili Bo, Bin Li, Wei Liu
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. CoRR (2024)
Dat Nguyen, Hieu M. Vu, Cong-Thanh Le, Bach Le, David Lo, Corina S. Pasareanu
Inferring Properties of Graph Neural Networks. CoRR (2024)
Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Xin Xia, David Lo
Context-Aware Neural Fault Localization. IEEE Trans. Software Eng. 49 (7) (2023)
Neng Zhang, Ying Zou, Xin Xia, Qiao Huang, David Lo, Shanping Li
Web APIs: Features, Issues, and Expectations - A Large-Scale Empirical Study of Web APIs From Two Publicly Accessible Registries Using Stack Overflow and a User Survey. IEEE Trans. Software Eng. 49 (2) (2023)
Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bin Luo
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. CoRR (2023)
Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel. 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. CoRR (2023)
Roman Belaire, Pradeep Varakantham, David Lo
Regret-Based Optimization for Robust Reinforcement Learning. CoRR (2023)
Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. CoRR (2023)
Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Yan Naing Tun, David Lo, Lingxiao Jiang, Christoph Bienert
Experimental comparison of features, analyses, and classifiers for Android malware detection. Empir. Softw. Eng. 28 (6) (2023)
Yanming Yang, Ying Zou, Xing Hu, David Lo, Chao Ni, John C. Grundy, Xin Xia
C³: Code Clone-Based Identification of Duplicated Components. ESEC/SIGSOFT FSE (2023)
Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, Junda He, David Lo
Generation-based Code Review Automation: How Far Are Weƒ. ICPC (2023)
Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues. CoRR (2023)
Vinay Kabadi, Dezhen Kong, Siyu Xie, Lingfeng Bao, Gede Artha Azriadi Prana, Tien-Duy B. Le, Xuan-Bach Dinh Le, David Lo
The Future Can't Help Fix The Past: Assessing Program Repair In The Wild. ICSME (2023)
Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. ESEC/SIGSOFT FSE (2023)
Jiayuan Zhou, Michael Pacheco, Jinfu Chen, Xing Hu, Xin Xia, David Lo, Ahmed E. Hassan
CoLeFunDa: Explainable Silent Vulnerability Fix Identification. ICSE (2023)
Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo
Exploring and Repairing Gender Fairness Violations in Word Embedding-based Sentiment Analysis Model through Adversarial Patches. SANER (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)
Jiakun Liu, Xing Hu, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo
AutoDebloater: Automated Android App Debloating. ASE (2023)
Aftab Hussain, Md. Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. CoRR (2023)
Ivana Clairine Irsan, Ting Zhang, Ferdian Thung, Kisub Kim, David Lo
Multi-Modal API Recommendation. SANER (2023)
Xin Zhou, Bowen Xu, DongGyun Han, Zhou Yang, Junda He, David Lo
CCBERT: Self-Supervised Code Change Representation Learning. CoRR (2023)
Shidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang, Zhenchang Xing, Xiwei Xu, Mark Staples, David Lo
SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications. 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)
David Lo
Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps. CoRR (2023)
Chengran Yang, Jiakun Liu, Bowen Xu, Christoph Treude, Yunbo Lyu, Junda He, Ming Li, David Lo
APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation. CoRR (2023)
Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Bach Le, David Lo
PatchZero: Zero-Shot Automatic Patch Correctness Assessment. CoRR (2023)
Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. ASE (2023)
Chengran Yang, Bowen Xu, Jiakun Liu, David Lo
TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query. ICSE Companion (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. CoRR (2023)
Zhiyuan Wan, Yun Zhang, Xin Xia, Yi Jiang, David Lo
Software Architecture in Practice: Challenges and Opportunities. ESEC/SIGSOFT FSE (2023)
Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo
Prioritizing Speech Test Cases. CoRR (2023)
Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Xuan-Bach Dinh Le, David Lo
Are We Ready to Embrace Generative AI for Software Q&A? ASE (2023)
Ting Zhang, Ivana Clairine Irsan, Ferdian Thung, David Lo, Asankhaya Sharma, Lingxiao Jiang
Evaluating Pre-trained Language Models for Repairing API Misuses. CoRR (2023)
Xiaoye Zheng, Zhiyuan Wan, Yun Zhang, Rui Chang, David Lo
A Closer Look at the Security Risks in the Rust Ecosystem. CoRR (2023)
Xin Zhou, Kisub Kim, Bowen Xu, Jiakun Liu, DongGyun Han, David Lo
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models. CoRR (2023)
Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode. IEEE Trans. Software Eng. 49 (10) (2023)
Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. ICSE (2023)
Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports. 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)
Junda He, Zhou Xin, 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? CoRR (2023)
Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John C. Grundy, Haoyu Wang
Large Language Models for Software Engineering: A Systematic Literature Review. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Lo