Honglin Shu

15 papers A 3Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating large language models for multilingual vulnerability detection at dual granularities.
Empir. Softw. Eng.
Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei
2025 — conf
A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.
ISSTA Companion
Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen
2025 J jnl
A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection.
CoRR
Junji Yu, Honglin Shu, Michael Fu, Dong Wang, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen
2025 A conf
A Preliminary Study on Large Language Models Self-Negotiation in Software Engineering.
ICSME
Chunrun Tao, Honglin Shu, Masanari Kondo, Yasutaka Kamei
2025 A conf
How Small is Enough? Empirical Evidence of Quantized Small Language Models for Automated Program Repair.
ESEM
Kazuki Kusama, Honglin Shu, Masanari Kondo, Yasutaka Kamei
2025 J jnl
How Small is Enough? Empirical Evidence of Quantized Small Language Models for Automated Program Repair.
CoRR
Kazuki Kusama, Honglin Shu, Masanari Kondo, Yasutaka Kamei
2025 J jnl
Large Language Models for Multilingual Vulnerability Detection: How Far Are We?
CoRR
Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei
2025 J jnl
My Fuzzers Won't Build: An Empirical Study of Fuzzing Build Failures.
ACM Trans. Softw. Eng. Methodol.
Olivier Nourry, Yutaro Kashiwa, Weiyi Shang, Honglin Shu, Yasutaka Kamei
2025 J jnl
On the Evaluation of Large Language Models in Multilingual Vulnerability Repair.
CoRR
Dong Wang, Junji Yu, Honglin Shu, Michael Fu, Chakkrit Tantithamthavorn, Yasutaka Kamei, Junjie Chen
2024 A conf
Large Language Models for Equivalent Mutant Detection: How Far Are We?
ISSTA
Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, Junjie Chen
2024 J jnl
Large Language Models for Equivalent Mutant Detection: How Far Are We?
CoRR
Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, Junjie Chen
2023 — conf
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.
ADMA (3)
Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai
2023 J jnl
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation.
CoRR
Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen
2023 J jnl
MetaGC-MC: A graph-based meta-learning approach to cold-start recommendation with/without auxiliary information.
Inf. Sci.
Honglin Shu, Fu-Lai Chung, Da Lin
2022 — conf
Exploring the Feasibility of Transformer Based Models on Question Relatedness.
HPCC/DSS/SmartCity/DependSys
Honglin Shu, Pei Gao, Ziwei Yang, Chen Li, Man Wu