Zhiang Wang

According to our database, Zhiang Wang authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

Performance Analysis of CNN Inference/Training with Convolution and Non-Convolution Operations on ASIC Accelerators.

Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang

ACM Trans. Design Autom. Electr. Syst., 2025

2024

Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-Scale Complex IP Blocks.

Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024

K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning.

Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2024

An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.

Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng

ACM Trans. Design Autom. Electr. Syst., 2024

Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement.

Hongyang Pan, Cunqing Lan, Yiting Liu, Zhiang Wang, Li Shang, Xuan Zeng, Fan Yang, Keren Zhu

CoRR, 2024

DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators.

Andrew B. Kahng, Zhiang Wang

CoRR, 2024

2023

SPV-SSD: An Anchor-Free 3D Single-Stage Detector with Supervised-PointRendering and Visibility Representation.

Lingmei Yin, Wei Tian, Ling Wang, Zhiang Wang, Zhuoping Yu

Remote. Sens., January, 2023

Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations.

Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang

CoRR, 2023

K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement.

Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang

CoRR, 2023

Assessment of Reinforcement Learning for Macro Placement.

Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang

Proceedings of the 2023 International Symposium on Physical Design, 2023

Invited Paper: IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research.

Jinwook Jung, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Dooseok Yoon

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

An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design.

Ismail Bustany, Grigor Gasparyan, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang

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

2022

Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.

Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

RTL-MP: Toward Practical, Human-Quality Chip Planning and Macro Placement.

Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang

Proceedings of the ISPD 2022: International Symposium on Physical Design, Virtual Event, Canada, March 27, 2022

IEEE CEDA DATC: Expanding Research Foundations for IC Physical Design and ML-Enabled EDA.

Jinwook Jung, Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang

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

SpecPart: A Supervised Spectral Framework for Hypergraph Partitioning Solution Improvement.

Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang

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

2021

VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.

Hadi Esmaeilzadeh, Soroush Ghodrati, Jie Gu, Shiyu Guo, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Rohan Mahapatra, Susmita Dey Manasi, Edwin Mascarenhas, Sachin S. Sapatnekar, Ravi Varadarajan, Zhiang Wang, Hanyang Xu, Brahmendra Reddy Yatham, Ziqing Zeng

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