Hong Jin Kang

72 papers A* 7A 8Journal 48Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Revisiting Vulnerability Patch Identification on Data in the Wild.
CoRR
Ivana Clairine Irsan, Ratnadira Widyasari, Ting Zhang, Huihui Huang, Ferdian Thung, Yikun Li, Lwin Khin Shar, Eng Lieh Ouh, Hong Jin Kang, David Lo
2025 J jnl
Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval.
CoRR
Huihui Huang, Ratnadira Widyasari, Ting Zhang, Ivana Clairine Irsan, Jieke Shi, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo
2025 J jnl
Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection.
CoRR
Ting Zhang, Chengran Yang, Yindu Su, Martin Weyssow, Huu Hung Nguyen, Tan Bui, Hong Jin Kang, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025 J jnl
DuoReduce: Bug Isolation for Multi-layer Extensible Compilation.
Proc. ACM Softw. Eng.
Jiyuan Wang, Yuxin Qiu, Ben Limpanukorn, Hong Jin Kang, Qian Zhang, Miryung Kim
2025 J jnl
From Noise to Knowledge: Interactive Summaries for Developer Alerts.
CoRR
Burak Yetistiren, Hong Jin Kang, Miryung Kim
2025 A* conf
Fuzzing MLIR Compilers with Custom Mutation Synthesis.
ICSE
Ben Limpanukorn, Jiyuan Wang, Hong Jin Kang, Eric Zitong Zhou, Miryung Kim
2025 — conf
Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE Community.
SIGSOFT FSE Companion
Jiazhao Yu, Yanlun Tu, Zhanlei Zhang, Tiehua Zhang, Cheng Xu, Weigang Wu, Hong Jin Kang, Xi Zheng
2025 J jnl
Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE Community.
CoRR
Jiazhao Yu, Yanlun Tu, Zhanlei Zhang, Tiehua Zhang, Cheng Xu, Weigang Wu, Hong Jin Kang, Xi Zheng
2025 J jnl
Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents.
CoRR
Ratnadira Widyasari, Martin Weyssow, Ivana Clairine Irsan, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo
2025 J jnl
Mapping NVD Records to Their VFCs: How Hard is it?
CoRR
Huu Hung Nguyen, Duc-Manh Tran, Yiran Cheng, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Lwin Khin Shar, Ouh Eng Lieh, Ting Zhang, David Lo
2025 J jnl
Targeted Testing of Compiler Optimizations via Grammar-Level Composition Styles.
CoRR
Zitong Zhou, Ben Limpanukorn, Hong Jin Kang, Jiyuan Wang, Yaoxuan Wu, Ákos Kiss, Renáta Hodován, Miryung Kim
2025 J jnl
Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning.
CoRR
Chengran Yang, Zhensu Sun, Hong Jin Kang, Jieke Shi, David Lo
2025 J jnl
Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead.
CoRR
Yiran Cheng, Hong Jin Kang, Lwin Khin Shar, Chaopeng Dong, Zhiqiang Shi, Shichao Lv, Limin Sun
2025 J jnl
TraceLens: Question-Driven Debugging for Taint Flow Understanding.
CoRR
Burak Yetistiren, Hong Jin Kang, Miryung Kim
2024 J jnl
ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models.
CoRR
Chengran Yang, Hong Jin Kang, Jieke Shi, David Lo
2024 J jnl
BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies.
CoRR
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
2024 J jnl
CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics.
CoRR
Yikun Li, Ting Zhang, Ratnadira Widyasari, Yan Naing Tun, Huu Hung Nguyen, Tan Bui, Ivana Clairine Irsan, Yiran Cheng, Xiang Lan, Han Wei Ang, Frank Liauw, Martin Weyssow, Hong Jin Kang, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2024 J jnl
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel.
IEEE Trans. Software Eng.
Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo
2024 J jnl
Fuzzing MLIR by Synthesizing Custom Mutations.
CoRR
Ben Limpanukorn, Jiyuan Wang, Hong Jin Kang, Eric Zitong Zhou, Miryung Kim
2024 — conf
Greening Large Language Models of Code.
ICSE (SEIS)
Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
2024 — conf
Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking.
NAACL-HLT (Findings)
Hong Jin Kang, Fabrice Harel-Canada, Muhammad Ali Gulzar, Nanyun Peng, Miryung Kim
2024 J jnl
Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking.
CoRR
Hong Jin Kang, Fabrice Harel-Canada, Muhammad Ali Gulzar, Violet Peng, Miryung Kim
2024 J jnl
JavaVFC: Java Vulnerability Fixing Commits from Open-source Software.
CoRR
Tan Bui, Yan Naing Tun, Yiran Cheng, Ivana Clairine Irsan, Ting Zhang, Hong Jin Kang
2024 — ed.
Proceedings of the 4th International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, SEA4DQ 2024, Porto de Galinhas, Brazil, 15 July 2024
SEA4DQ@SIGSOFT FSE
Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang
2024 J jnl
SEA4DQ 2024 Workshop Summary.
ACM SIGSOFT Softw. Eng. Notes
Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Hong Nguyen, Valentina Golendukhina
2024 A* conf
Scaling Code Pattern Inference with Interactive What-If Analysis.
ICSE
Hong Jin Kang, Kevin Wang, Miryung Kim
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
Surveying neuro-symbolic approaches for reliable artificial intelligence of things.
J. Reliab. Intell. Environ.
Zhen Lu, Imran Afridi, Hong Jin Kang, Ivan Ruchkin, Xi Zheng
2023 A* conf
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports.
ICSE
Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo
2023 J jnl
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports.
CoRR
Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo
2023 J jnl
Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel.
CoRR
Yunbo Lyu, Hong Jin Kang, Ratnadira Widyasari, Julia Lawall, David Lo
2023 J jnl
How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs.
IEEE Trans. Software Eng.
Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
2023 J jnl
Multi-Granularity Detector for Vulnerability Fixes.
CoRR
Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, David Lo
2023 J jnl
Multi-Granularity Detector for Vulnerability Fixes.
IEEE Trans. Software Eng.
Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Chengran Yang, Zhipeng Zhao, Bowen Xu, Jiayuan Zhou, Xin Xia, Ahmed E. Hassan, Xuan-Bach Dinh Le, 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 A conf
Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?
SANER
Ratnadira Widyasari, Zhipeng Zhao, Thanh Le-Cong, Hong Jin Kang, David Lo
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
2022 J jnl
Active Learning of Discriminative Subgraph Patterns for API Misuse Detection.
CoRR
Hong Jin Kang, David Lo
2022 J jnl
Active Learning of Discriminative Subgraph Patterns for API Misuse Detection.
IEEE Trans. Software Eng.
Hong Jin Kang, David Lo
2022 J jnl
AndroEvolve: automated Android API update with data flow analysis and variable denormalization.
Empir. Softw. Eng.
Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller
2022 J jnl
AutoPruner: Transformer-Based Call Graph Pruning.
CoRR
Thanh Le-Cong, Hong Jin Kang, Truong Giang Nguyen, Stefanus Agus Haryono, David Lo, Xuan-Bach Dinh Le, Huynh Quyet Thang
2022 — conf
AutoPruner: transformer-based call graph pruning.
ESEC/SIGSOFT FSE
Thanh Le-Cong, Hong Jin Kang, Truong Giang Nguyen, Stefanus Agus Haryono, David Lo, Xuan-Bach Dinh Le, Huynh Quyet Thang
2022 A conf
Automated identification of libraries from vulnerability data: can we do better?
ICPC
Stefanus A. Haryono, Hong Jin Kang, Abhishek Sharma, Asankhaya Sharma, Andrew E. Santosa, Ming Yi Ang, 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
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
Detecting False Alarms from Automatic Static Analysis Tools: How Far are We?
ICSE
Hong Jin Kang, Khai Loong Aw, David Lo
2022 J jnl
Detecting False Alarms from Automatic Static Analysis Tools: How Far are We?
CoRR
Hong Jin Kang, Khai Loong Aw, David Lo
2022 A conf
HERMES: Using Commit-Issue Linking to Detect Vulnerability-Fixing Commits.
SANER
Giang Nguyen-Truong, Hong Jin Kang, David Lo, Abhishek Sharma, Andrew E. Santosa, Asankhaya Sharma, Ming Yi Ang
2022 J jnl
How to Find Actionable Static Analysis Warnings.
CoRR
Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
2022 J jnl
SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries.
CoRR
Hong Jin Kang, Pattarakrit Rattanukul, Stefanus Agus Haryono, Truong Giang Nguyen, Chaiyong Ragkhitwetsagul, Corina S. Pasareanu, David Lo
2022 A conf
Test mimicry to assess the exploitability of library vulnerabilities.
ISSTA
Hong Jin Kang, Truong Giang Nguyen, Bach Le, Corina S. Pasareanu, David Lo
2022 J jnl
VulCurator: A Vulnerability-Fixing Commit Detector.
CoRR
Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Xuan-Bach Dinh Le, David Lo
2022 — conf
VulCurator: a vulnerability-fixing commit detector.
ESEC/SIGSOFT FSE
Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Xuan-Bach Dinh Le, David Lo
2021 J jnl
Adversarial Specification Mining.
CoRR
Hong Jin Kang, David Lo
2021 J jnl
Adversarial Specification Mining.
ACM Trans. Softw. Eng. Methodol.
Hong Jin Kang, David Lo
2021 — conf
AndroEvolve: Automated Update for Android Deprecated-API Usages.
ICSE (Companion Volume)
Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller
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
IoTBox: Sandbox Mining to Prevent Interaction Threats in IoT Systems.
ICST
Hong Jin Kang, Sheng Qin Sim, David Lo
2020 J jnl
AndroEvolve: Automated Android API Update with Data Flow Analysis and Variable Denormalization.
CoRR
Stefanus A. Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller
2020 J jnl
AndroEvolve: Automated Update for Android Deprecated-API Usages.
CoRR
Stefanus Agus Haryono, Ferdian Thung, David Lo, Lingxiao Jiang, Julia Lawall, Hong Jin Kang, Lucas Serrano, Gilles Muller
2020 A conf
Automatic Android Deprecated-API Usage Update by Learning from Single Updated Example.
ICPC
Stefanus A. Haryono, Ferdian Thung, Hong Jin Kang, Lucas Serrano, Gilles Muller, Julia Lawall, David Lo, Lingxiao Jiang
2020 J jnl
Automatic Android Deprecated-API Usage Update by Learning from Single Updated Example.
CoRR
Stefanus Agus Haryono, Ferdian Thung, Hong Jin Kang, Lucas Serrano, Gilles Muller, Julia Lawall, David Lo, Lingxiao Jiang
2020 — conf
BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies.
ESEC/SIGSOFT FSE
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
2020 J jnl
CC2Vec: Distributed Representations of Code Changes.
CoRR
Thong Hoang, Hong Jin Kang, Julia Lawall, David Lo
2020 A* conf
CC2Vec: distributed representations of code changes.
ICSE
Thong Hoang, Hong Jin Kang, David Lo, Julia Lawall
2019 A* conf
Assessing the Generalizability of Code2vec Token Embeddings.
ASE
Hong Jin Kang, Tegawendé F. Bissyandé, David Lo
2019 J jnl
Semantic Patches for Java Program Transformation (Artifact).
Dagstuhl Artifacts Ser.
Hong Jin Kang, Ferdian Thung, Julia Lawall, Gilles Muller, Lingxiao Jiang, David Lo
2019 A conf
Semantic Patches for Java Program Transformation (Experience Report).
ECOOP
Hong Jin Kang, Ferdian Thung, Julia Lawall, Gilles Muller, Lingxiao Jiang, David Lo
2019 A conf
Towards Generating Transformation Rules without Examples for Android API Replacement.
ICSME
Ferdian Thung, Hong Jin Kang, Lingxiao Jiang, David Lo
2016 — conf
A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation.
NLP-TEA@COLING
Hong Jin Kang, Tao Chen, Muthu Kumar Chandrasekaran, Min-Yen Kan
2016 J jnl
A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation.
CoRR
Hong Jin Kang, Tao Chen, Muthu Kumar Chandrasekaran, Min-Yen Kan