Lixin Liu

Ph.D. Candidate

 

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

 

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

 

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

Biography

I am currently a final-year Ph.D. candidate at the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), advised by Prof. Evangeline F.Y. Young since Fall 2019. Previously, I obtained my Bachelor's degree majored in Electronics Science and Technology (Talented Student Program) from South China University of Technology (SCUT). My research interests lie primarily in GPU accelerated Placement and Routing (PnR) in VLSI Physical Design. I am also interested in distributed deep learning systems.

Publications

Conference Papers

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

[PDF] | [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]

Learning towards Minimum Hyperspherical Energy

Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

Annual Conference on Neural Information Processing Systems (NeurIPS) 2018

[Code] | [SphereFace+]

Journal Papers

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) 2021

[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) 2021

Honors & Awards


  Last updated on