2 citations · 2 across the 1 of their papers we have counts for
4 papers
Analytical Heterogeneous Die-to-Die 3D Placement with Macros
Yuxuan Zhao, Peiyu Liao, Siting Liu +3
This paper presents an innovative approach to 3D mixed-size placement in heterogeneous face-to-face (F2F) bonded 3D ICs. We propose an analytical framework that utilizes a dedicate…
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
Haoyuan Wu, Xinyun Zhang, Peng Xu +3
Vision-Language models (VLMs) pre-trained on large corpora have demonstrated notable success across a range of downstream tasks. In light of the rapidly increasing size of pre-trai…
Analytical Die-to-Die 3D Placement with Bistratal Wirelength Model and GPU Acceleration
Peiyu Liao, Yuxuan Zhao, Dawei Guo +2
In this paper, we present a new analytical 3D placement framework with a bistratal wirelength model for F2F-bonded 3D ICs with heterogeneous technology nodes based on the electrost…
Towards Versatile and Efficient Visual Knowledge Integration into Pre-trained Language Models with Cross-Modal Adapters
Xinyun Zhang, Haochen Tan, Han Wu +1
Humans learn language via multi-modal knowledge. However, due to the text-only pre-training scheme, most existing pre-trained language models (PLMs) are hindered from the multi-mod…