People

Haoyu Yang

I'm currently a Research Scientist at NVIDIA Research, where I actively conduct research on computational lithography and machine learning. Prior that, I was a postdoctoral fellow in the Department of Computer Science and Engineering, the Chinese University of Hong Kong. My research interests include (1) Machine Learning in VLSI Design for Manufacturability (2) High Performance VLSI Physical Design with Parallel Computing and (3) Machine Learning Security.

Check my personal webpage for more details.

Research Area(s)
Algorithms and Numerical Methods
Artificial Intelligence and Machine Learning
Circuits and VLSI Design
Computer Vision
High Performance Computing
Main Field of Interest
Circuits and VLSI Design
Google Scholar
https://scholar.google.com.hk/citations?user=aTJ0RJUAAAAJ&hl=en

Publications

2023

Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin Wong
60th ACM/IEEE Design Automation Conference
Enabling Scalable AI Computational Lithography with Physics-Inspired Models
Haoyu Yang, Mark Haoxing Ren
2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC)

2022

Efficient Arithmetic Block Identification with Graph Learning and Network-flow
Ziyi Wang, Zhuolun He, Chen Bai, Haoyu Yang, Bei Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Mark Haoxing Ren
Workshop on ML for Systems at NeurIPS
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Mark Haoxing Ren
2022 Design Automation Conference
DeePattern: Layout Pattern Generation with Transforming Convolutional Auto-Encoder
Haoyu Yang, Shuhe Li, Wen Chen, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu
IEEE Transactions on Semiconductor Manufacturing
Best Paper Award

2021

Graph Learning-Based Arithmetic Block Identification
Zhuolun He, Ziyi Wang, Chen Bai, Haoyu Yang, Bei Yu
IEEE/ACM International Conference on Computer-Aided Design