Ran Chen

20 papers A* 3A 4B 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement.
ASP-DAC
Lin Chen, Ran Chen, Shoubo Hu, Xufeng Yao, Zhentao Tang, Shixiong Kai, Siyuan Xu, Mingxuan Yuan, Jianye Hao, Bei Yu, Jiang Xu
2024 A conf
RTLRewriter: Methodologies for Large Models aided RTL Code Optimization.
ICCAD
Xufeng Yao, Yiwen Wang, Xing Li, Yingzhao Lian, Ran Chen, Lei Chen, Mingxuan Yuan, Hong Xu, Bei Yu
2024 J jnl
RTLRewriter: Methodologies for Large Models aided RTL Code Optimization.
CoRR
Xufeng Yao, Yiwen Wang, Xing Li, Yingzhao Lian, Ran Chen, Lei Chen, Mingxuan Yuan, Hong Xu, Bei Yu
2024 J jnl
Small is Beautiful: Compressing Deep Neural Networks for Partial Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Yuzhe Ma, Xufeng Yao, Ran Chen, Ruiyu Li, Xiaoyong Shen, Bei Yu
2023 J jnl
A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
2023 A conf
IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration.
ICCAD
Ziyang Yu, Chen Bai, Shoubo Hu, Ran Chen, Taohai He, Mingxuan Yuan, Bei Yu, Martin D. F. Wong
2022 J jnl
Faster Region-Based Hotspot Detection.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Fan Yang, Xuan Zeng, Bei Yu
2022 A* conf
PCL: Proxy-based Contrastive Learning for Domain Generalization.
CVPR
Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu
2021 A conf
A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation.
ICCAD
Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao
2021 A conf
Hotspot Detection via Multi-task Learning and Transformer Encoder.
ICCAD
Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D. F. Wong
2021 — conf
Learning Point Clouds in EDA.
ISPD
Wei Li, Guojin Chen, Haoyu Yang, Ran Chen, Bei Yu
2021 J jnl
VLSI mask optimization: From shallow to deep learning.
Integr.
Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu
2020 J jnl
Dive Deeper Into Box for Object Detection.
CoRR
Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai
2020 — conf
Dive Deeper into Box for Object Detection.
ECCV (22)
Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai
2020 — conf
VLSI Mask Optimization: From Shallow To Deep Learning.
ASP-DAC
Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu
2019 B conf
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks.
ICTAI
Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
2019 A* conf
FIT: Fill Insertion Considering Timing.
DAC
Bentian Jiang, Xiaopeng Zhang, Ran Chen, Gengjie Chen, Peishan Tu, Wei Li, Evangeline F. Y. Young, Bei Yu
2019 A* conf
Faster Region-based Hotspot Detection.
DAC
Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Xuan Zeng, Bei Yu
2019 J jnl
VLSI Mask Optimization: From Shallow To Deep Learning.
CoRR
Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu
2018 J jnl
A Unified Approximation Framework for Deep Neural Networks.
CoRR
Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu