6 papers
HySpecPro: Scalable Hypergraph Partitioning via Spectral Projection Optimization
Rongjian Liang, Zhuo Feng, Haoxing Ren
Modern VLSI designs comprise tens of billions of components, making scalable hypergraph partitioning critical for parallel and hierarchical optimization. Although multilevel partit…
HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization
Hongzheng Chen, Yingheng Wang, Yaohui Cai +10
While Large Language Models (LLMs) have demonstrated significant advancements in reasoning and agent-based problem-solving, current evaluation methodologies fail to adequately asse…
Autonomous Code Evolution Meets NP-Completeness
Cunxi Yu, Rongjian Liang, Chia-Tung Ho +1
Large language models (LLMs) have recently shown strong coding abilities, enabling not only static code generation but also iterative code self-evolving through agentic frameworks.…
SchemaCoder: Automatic Log Schema Extraction Coder with Residual Q-Tree Boosting
Lily Jiaxin Wan, Chia-Tung Ho, Rongjian Liang +3
Log schema extraction is the process of deriving human-readable templates from massive volumes of log data, which is essential yet notoriously labor-intensive. Recent studies have…
Learning to Compare Hardware Designs for High-Level Synthesis
Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding +6
High-level synthesis (HLS) is an automated design process that transforms high-level code into hardware designs, enabling the rapid development of hardware accelerators. HLS relies…
Learning Library Cell Representations in Vector Space
Rongjian Liang, Yi-Chen Lu, Wen-Hao Liu +1
We propose Lib2Vec, a novel self-supervised framework to efficiently learn meaningful vector representations of library cells, enabling ML models to capture essential cell semantic…