5 citations · 5 across the 4 of their papers we have counts for
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cs.SE2026
CoSTAR: Data Synthesis-Driven Constraint-Aware COBOL Section Summarization for Legacy System Modernization
Hao Lin, He Jiang, Xiaochen Li +4
COBOL remains critical to governments, financial institutions, and large enterprises; yet, aging technologies, shrinking expertise, and missing documentation make modernization of…
cs.SE2026
Enhancing LLM-Based Code Translation with Verified Multi-Semantic Representations
Yufu Wang, He Jiang, Hao Lin +4
Large language models (LLMs) have shown great promise for automated code translation, yet existing approaches often rely on token-level statistical patterns rather than sufficient…
cs.SE2025
TIT: A Tree-Structured Instruction Tuning Approach for LLM-Based Code Translation
He Jiang, Yufu Wang, Hao Lin +5
Large Language Models (LLMs) have shown strong performance in automated source-to-target code translation through pretraining on extensive code corpora. However, mainstream LLM-bas…