Ran Chen

According to our database, Ran Chen authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement.

Lin Chen, Ran Chen, Shoubo Hu, Xufeng Yao, Zhentao Tang, Shixiong Kai, Siyuan Xu, Mingxuan Yuan, Jianye Hao, Bei Yu, Jiang Xu

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Small is Beautiful: Compressing Deep Neural Networks for Partial Domain Adaptation.

Yuzhe Ma, Xufeng Yao, Ran Chen, Ruiyu Li, Xiaoyong Shen, Bei Yu

IEEE Trans. Neural Networks Learn. Syst., March, 2024

RTLRewriter: Methodologies for Large Models aided RTL Code Optimization.

Xufeng Yao, Yiwen Wang, Xing Li, Yingzhao Lian, Ran Chen, Lei Chen, Mingxuan Yuan, Hong Xu, Bei Yu

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023

A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation.

Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2023

IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration.

Ziyang Yu, Chen Bai, Shoubo Hu, Ran Chen, Taohai He, Mingxuan Yuan, Bei Yu, Martin D. F. Wong

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022

Faster Region-Based Hotspot Detection.

Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Fan Yang, Xuan Zeng, Bei Yu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

PCL: Proxy-based Contrastive Learning for Domain Generalization.

Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

VLSI mask optimization: From shallow to deep learning.

Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu

Integr., 2021

Learning Point Clouds in EDA.

Wei Li, Guojin Chen, Haoyu Yang, Ran Chen, Bei Yu

Proceedings of the ISPD '21: International Symposium on Physical Design, 2021

Hotspot Detection via Multi-task Learning and Transformer Encoder.

Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D. F. Wong

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

2020

Dive Deeper into Box for Object Detection.

Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks.

Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

FIT: Fill Insertion Considering Timing.

Bentian Jiang, Xiaopeng Zhang, Ran Chen, Gengjie Chen, Peishan Tu, Wei Li, Evangeline F. Y. Young, Bei Yu

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Faster Region-based Hotspot Detection.

Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Xuan Zeng, Bei Yu

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

A Unified Approximation Framework for Deep Neural Networks.

Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu

CoRR, 2018