Lixin Liu

Postdoctoral Fellow

 

Department of Computer Science and Engineering
The Chinese University of Hong Kong

 

Email: lxliu [at] cse.cuhk.edu.hk
kerryliu1997 [at] gmail.com

 

[Github] | [Google Scholar] | [Linkedin]

Biography

I am a Postdoctoral Fellow advised by Prof. Evangeline F.Y. Young. I obtained my Ph.D. degree from The Chinese University of Hong Kong in 2023 and my B.Eng. degree from South China University of Technology in 2019. My research interests lie primarily in Placement and Routing (PnR) in VLSI Physical Design and distributed machine learning systems.

Publications

Fast Dynamic IR-Drop Prediction with Dual-path Spatial-Temporal Attention

Bangqi Fu, Lixin Liu, Qijing Wang, Yutao Wang, Martin D.F. Wong, Evangeline F.Y. Young

IEEE/ACM Design, Automation and Test in Europe (DATE) 2025

Hybrid Modeling and Weighting for Timing-driven Placement with Efficient Calibration

Bangqi Fu, Lixin Liu, Martin D.F. Wong, Evangeline F.Y. Young

IEEE/ACM International Conference On Computer Aided Design (ICCAD) 2024

On Advanced Methodologies for Microarchitecture Design Space Exploration

Tianji Liu, Qijing Wang, Lixin Liu, Fangzhou Wang, Evangeline F.Y. Young

Great Lakes Symposium on VLSI (GLSVLSI) 2024

Parmesan: Efficient Partitioning and Mapping Flow for DNN Training on General Device Topology

Lixin Liu, Tianji Liu, Bentian Jiang, Evangeline F.Y. Young

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) Accepted

Xplace: An Extremely Fast and Extensible Placement Framework

Lixin Liu, Bangqi Fu, Shiju Lin, Jinwei Liu, Evangeline F.Y. Young, Martin D.F. Wong

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 2024

Note: Detailed-routability-driven Xplace (i.e. Xplace 2.0) is released on Github.

[Code]

CoPlace: Coherent Placement Engine with Layout-aware Partitioning for 3D ICs

Bangqi Fu, Lixin Liu, Yang Sun, Wing-Ho Lau, Martin D.F. Wong, Evangeline F.Y. Young

ACM/IEEE Asia and South Pacific Design Automation Conference Technical Program (ASP-DAC) 2024 (Best Paper Candidate)

Neural-ILT 2.0: Migrating ILT to Domain-specific and Multi-task-enabled Neural Network

Bentian Jiang, Lixin Liu, Yuzhe Ma, Bei Yu, Evangeline F.Y. Young

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 2022

[Code]

CU. POKer: Placing DNNs on WSE with Optimal Kernel Sizing and Efficient Protocol Optimization

Bentian Jiang, Jingsong Chen, Jinwei Liu, Lixin Liu, Fangzhou Wang, Xiaopeng Zhang, Evangeline F.Y. Young

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD) 2022

Xplace: An Extremely Fast and Extensible Global Placement Framework

Lixin Liu, Bangqi Fu, Martin D.F. Wong, Evangeline F.Y. Young

ACM/IEEE Design Automation Conference (DAC) 2022

[Code] | [Slides]

Starfish: An Efficient P&R Co-Optimization Engine with A*-based Partial Rerouting

Fangzhou Wang, Lixin Liu, Jingsong Chen, Jinwei Liu, Xinshi Zang, Martin DF Wong

IEEE/ACM International Conference On Computer Aided Design (ICCAD) 2021

[Slides]

Building up End-to-end Mask Optimization Framework with Self-training

Bentian Jiang, Xiaopeng Zhang, Lixin Liu, Evangeline F.Y. Young

ACM International Symposium on Physical Design (ISPD) 2021

[Slides]

Neural-ILT: Migrating ILT to Neural Networks for Mask Printability and Complexity Co-optimization

Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Bei Yu, Evangeline F.Y. Young

IEEE/ACM International Conference On Computer Aided Design (ICCAD) 2020

[Slides] | [Code]

CU.POKer: Placing DNNs on Wafer-Scale AI Accelerator with Optimal Kernel Sizing

Bentian Jiang, Jingsong Chen, Jinwei Liu, Lixin Liu, Fangzhou Wang, Xiaopeng Zhang, Evangeline F.Y. Young

IEEE/ACM International Conference On Computer Aided Design (ICCAD) 2020

[Slides]

Honors & Awards

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