Honglin Shu

According to our database, Honglin Shu authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Evaluating large language models for multilingual vulnerability detection at dual granularities.

Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei

Empir. Softw. Eng., July, 2026

An Empirical Study on Language Models for Generating Log Statements in Test Code.

Honglin Shu, Dong Wang, Antonio Mastropaolo, Gabriele Bavota, Yasutaka Kamei

ACM Trans. Softw. Eng. Methodol., May, 2026

Leveraging Language Models for Log Statement Generation in Multilingual Scenarios: How Far Are We?

Kazuki Kusama, Honglin Shu, Masanari Kondo, Yasutaka Kamei

CoRR, May, 2026

2025

On the Evaluation of Large Language Models in Multilingual Vulnerability Repair.

Dong Wang, Junji Yu, Honglin Shu, Michael Fu, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen

CoRR, August, 2025

Large Language Models for Multilingual Vulnerability Detection: How Far Are We?

Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei

CoRR, June, 2025

My Fuzzers Won't Build: An Empirical Study of Fuzzing Build Failures.

Olivier Nourry, Yutaro Kashiwa, Weiyi Shang, Honglin Shu, Yasutaka Kamei

ACM Trans. Softw. Eng. Methodol., February, 2025

A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.

Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen

Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2025

A Preliminary Study on Large Language Models Self-Negotiation in Software Engineering.

Chunrun Tao, Honglin Shu, Masanari Kondo, Yasutaka Kamei

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025

How Small is Enough? Empirical Evidence of Quantized Small Language Models for Automated Program Repair.

Kazuki Kusama, Honglin Shu, Masanari Kondo, Yasutaka Kamei

Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2025

2024

Large Language Models for Equivalent Mutant Detection: How Far Are We?

Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, Junjie Chen

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information.

Honglin Shu, Fu-Lai Chung, Da Lin

Inf. Sci., April, 2023

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.

Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen

CoRR, 2023

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.

Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Exploring the Feasibility of Transformer Based Models on Question Relatedness.

Honglin Shu, Pei Gao, Ziwei Yang, Chen Li, Man Wu

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022