Exploring the Feasibility of Transformer Based Models on Question Relatedness. - Honglin Shu; Pei Gao; Ziwei Yang 002; Chen Li 027; Man Wu (HPCC/DSS/SmartCity/DependSys, 2022)

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. - Honglin Shu; Pei Gao; Lingwei Zhu; Zheng Chen 012; Yasuko Matsubara; Yasushi Sakurai (ADMA (3), 2023)

Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation. - Honglin Shu; Pei Gao; Lingwei Zhu; Zheng Chen 012 (CoRR, 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., 2023)

Large Language Models for Equivalent Mutant Detection: How Far Are We? - Zhao Tian; Honglin Shu; Dong Wang 044; Xuejie Cao; Yasutaka Kamei; Junjie Chen 003 (ISSTA, 2024)

A Preliminary Study of Large Language Models for Multilingual Vulnerability Detection. - Junji Yu; Honglin Shu; Michael Fu; Dong Wang 044; Chakkrit Tantithamthavorn; Yasutaka Kamei; Junjie Chen 003 (ISSTA Companion, 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., 2025)

Large Language Models for Multilingual Vulnerability Detection: How Far Are We? - Honglin Shu; Michael Fu; Junji Yu; Dong Wang 044; Chakkrit Tantithamthavorn; Junjie Chen 003; Yasutaka Kamei (CoRR, 2025)

On the Evaluation of Large Language Models in Multilingual Vulnerability Repair. - Dong Wang 044; Junji Yu; Honglin Shu; Michael Fu; Chakkrit Tantithamthavorn; Yasutaka Kamei; Junjie Chen 003 (CoRR, 2025)