| 2026 | ACL | Speculative Verification: Exploiting Information Gain for Speculative Decoding. | Sungkyun Kim, Jaemin Kim, Dogyeong Yun, Jiho Shin, Junyeol Lee, Jiwon Seo |
| 2026 | SAC | MD-SRA: Multimodal Detection of SEO-based Redirection Attacks. | Minseok Hur, Jiho Shin, Moohong Min |
| 2025 | DAC | Grasp: Group-based Prediction of Activation Sparsity for Fast LLM Inference. | Jiho Shin, Hoeseok Yang, Youngmin Yi |
| 2025 | DATE | SparseInfer: Training-free Prediction of Activation Sparsity for Fast LLM Inference. | Jiho Shin, Hoeseok Yang, Youngmin Yi |
| 2025 | ICST | Pre-trained Models for Bytecode Instructions. | Donggyu Kim, Taemin Kim, Jiho Shin, Song Wang, Heeyoul Choi, Jaechang Nam |
| 2025 | MSR | Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code. | Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati |
| 2024 | ISSTA | Domain Adaptation for Code Model-Based Unit Test Case Generation. | Jiho Shin, Sepehr Hashtroudi, Hadi Hemmati, Song Wang |
| 2024 | SiggraphA | Strainer GAN: Filtering out Impurity Samples in GAN Training. | Jiho Shin, Seungkyu Lee |
| 2023 | APSEC | An Empirical Study on the Stability of Explainable Software Defect Prediction. | Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, Song Wang |
| 2023 | ISSRE | Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? | Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan |
| 2023 | MSR | Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. | Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan |
| 2023 | WISA | OCR Meets the Dark Web: Identifying the Content Type Regarding Illegal and Cybercrime. | Donghyun Kim, Seungho Jeon, Jiho Shin, Jung Taek Seo |