7 papers
CSCO: A Backside-PDN-Aware Clock-Signal Co-Optimization Framework for Improved PPA
Zixiao Wang, Leilei Jin, Zhen Zhuang +2
Backside power delivery networks (BSPDN) have emerged as a promising technology for advanced logic nodes to address IR-drop and PPA challenges. While BSPDN introduces additional ro…
DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion
Zixiao Wang, Wenqian Zhao, Yunheng Shen +4
Recent advancements in layout pattern generation have been dominated by deep generative models. However, relying solely on neural networks for legality guarantees raises concerns i…
TorchResist: Open-Source Differentiable Resist Simulator
Zixiao Wang, Jieya Zhou, Su Zheng +5
Recent decades have witnessed remarkable advancements in artificial intelligence (AI), including large language models (LLMs), image and video generative models, and embodied AI sy…
FlexPose: Pose Distribution Adaptation with Limited Guidance
Zixiao Wang, Junwu Weng, Mengyuan Liu +1
Numerous well-annotated human key-point datasets are publicly available to date. However, annotating human poses for newly collected images is still a costly and time-consuming pro…
MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations
Zixiao Wang, Jingwei Zhang, Wenqian Zhao +2
Few-shot gradient methods have been extensively utilized in existing model pruning methods, where the model weights are regarded as static values and the effects of potential weigh…
ChatPattern: Layout Pattern Customization via Natural Language
Zixiao Wang, Yunheng Shen, Xufeng Yao +4
Existing works focus on fixed-size layout pattern generation, while the more practical free-size pattern generation receives limited attention. In this paper, we propose ChatPatter…
Consistent Distributed Ranking of Generative Models via Kernel Distances
Zixiao Wang, Farzan Farnia, Zhenghao Lin +2
Ranking generative models based on the fidelity and diversity of their outputs is required to identify the best generator in a group of candidate generative AI models. To rank a gr…