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Author

Zhiyao Xie

5 papers indexed here

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Jul 2026

CircuitProver: Agentic Lean 4 Theorem Proving with Reusable Circuit Proof Library for Hardware Verification

Modern integrated circuits (ICs) are becoming increasingly complex, making functional verification a major bottleneck. The dominant hardware formal verification methodology, model checking, verifies each design instance separately and exposes only pass/fail results, so the reasoning behind a proof stays locked inside s...

Zi-Yi Yang, Wenji Fang, Chen Chen et al. · 0 citations
Preprint Aug 2026

FABO: Agent-Guided Discovery of Joint Breakpoint Optimization for Timing-Driven Routing Trees

The topology of a routing tree determines how a multi-pin net branches and shares physical wire, directly affecting wirelength, congestion, capacitance, and delay. We study a central early-stage routing problem: minimizing wirelength while bounding the root-to-sink path stretch for every sink. SALT is the state-of-the-...

Shang Liu, Wenji Fang, Jing Wang et al. · 0 citations
Preprint Aug 2026

G-Power: Architecture-level GPU Power Modeling with Aggregated Knowledge Foundations from Known GPUs

Graphics Processing Units (GPUs) have been serving as critical computation resources for large-scale parallel computations. With increasing chip complexity, power efficiency has become an important design objective for modern GPUs. GPU power optimization relies on fast power evaluation, requiring architecture-level GPU...

Qi-Jun Zhang, Yao Lu, Shang Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Memory Compression for High-Fanout Agent Sandboxes

AgentZip is presented, the first memory compression system designed specifically for AI-agent sandboxes, which broadens the compression scope to any page with a profitable representation and shifts overhead control from compression-time page selection to restore-time prefetching.

Meng-Ming Li, Ce-Yu Xu, Qi-Jun Zhang et al. · 0 citations
Preprint Aug 2026

FSGen: Agile Fused and Sparse Accelerator Generator with Accurate Power Model for LLM Applications

With the growing demand of artificial intelligence (AI) applications, large language models (LLMs) have become important workloads in many domains. The question of how to efficiently generate optimal AI chip accelerator designs remains unresolved and challenging. Currently, there is a lack of end-to-end design methodol...

J. Mok, Qi-Jun Zhang, Zhi-Yao Xie · 0 citations

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