activity
20232026
most citedAnalytical Die-to-Die 3D Placement with Bistratal Wirelength Model and GPU Acceleration

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

MacroAgent: Regularity-Aware Macro Legalization with LLM-Agent-Designed Contour Algorithms

Jiaxi Jiang, Xufeng Yao, Yuxuan Zhao +5

Macros constitute a large part of the core area in modern very large-scale integration (VLSI) designs. Moreover, macro positions have a significant impact on the final quality of r…

cs.NE2025

Evolution of Optimization Algorithms for Global Placement via Large Language Models

Xufeng Yao, Jiaxi Jiang, Yuxuan Zhao +3

Optimization algorithms are widely employed to tackle complex problems, but designing them manually is often labor-intensive and requires significant expertise. Global placement is…

cs.AR2024

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…

cs.CV2023

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…

cs.AR20232 cited

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…