Guojie Luo — accepted AI-conference papers

2026

DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior

Ruiyang Ma, Yunhao Zhou, Yipeng Wang, Yi Liu, Zhengyuan Shi, Ziyang Zheng +6

AAAI 2026technical

There is a growing body of work on using Graph Neural Networks (GNNs) to learn representations of circuits, focusing primarily on their static characteristics. However, these models fail to capture circuit runtime behavior, which is crucial for tasks like circuit verification and optimization. To ad

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2026

ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization

Jiayu Chen, Ruoyu Lin, Jingxin Le, Zihao Zheng, Maoliang Li, Guojie Luo +1

ICLR 2026poster

Visual Autoregressive (VAR) models enhance generation speed but face a critical efficiency bottleneck in later stages. In this paper, we present a novel optimization framework for VAR models that fundamentally differs from prior approaches such as FastVAR and SkipVAR. Instead of relying on heuristic…

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