Xinshi Zang

According to our database, Xinshi Zang authored at least 13 papers between 2018 and 2023.

Collaborative distances:

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

2023

Exploring Rule-Free Layout Decomposition via Deep Reinforcement Learning.

Bentian Jiang, Xinshi Zang, Martin D. F. Wong, Evangeline F. Y. Young

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

SPARK: A Scalable Partitioning and Routing Framework for Multi-FPGA Systems.

Xinshi Zang, Evangeline F. Y. Young, Martin D. F. Wong

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

CPP: A Multi-Level Circuit Partitioning Predictor for Hardware Verification Systems.

Xinshi Zang, Lei Chen, Xing Li, Wilson W. K. Thong, Weihua Sheng, Evangeline F. Y. Young, Martin D. F. Wong

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

ATLAS: A Two-Level Layer-Aware Scheme for Routing with Cell Movement.

Xinshi Zang, Fangzhou Wang, Jinwei Liu, Martin D. F. Wong

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Partition and place finite element model on wafer-scale engine.

Jinwei Liu, Xiaopeng Zhang, Shiju Lin, Xinshi Zang, Jingsong Chen, Bentian Jiang, Martin D. F. Wong, Evangeline F. Y. Young

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

TopoPart: a Multi-level Topology-Driven Partitioning Framework for Multi-FPGA Systems.

Dan Zheng, Xinshi Zang, Martin D. F. Wong

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

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

Fangzhou Wang, Lixin Liu, Jingsong Chen, Jinwei Liu, Xinshi Zang, Martin D. F. Wong

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

2020

MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control.

Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Diagnosing Reinforcement Learning for Traffic Signal Control.

Guanjie Zheng, Xinshi Zang, Nan Xu, Hua Wei, Zhengyao Yu, Vikash V. Gayah, Kai Xu, Zhenhui Li

CoRR, 2019

Learning Phase Competition for Traffic Signal Control.

Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

CoLight: Learning Network-level Cooperation for Traffic Signal Control.

Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

QDR-Tree: An Efcient Index Scheme for Complex Spatial Keyword Query.

Xinshi Zang, Peiwen Hao, Xiaofeng Gao, Bin Yao, Guihai Chen

CoRR, 2018

QDR-Tree: An Efficient Index Scheme for Complex Spatial Keyword Query.

Xinshi Zang, Peiwen Hao, Xiaofeng Gao, Bin Yao, Guihai Chen

Proceedings of the Database and Expert Systems Applications, 2018