Publications

Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays

Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han

ISCA 2024

Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas

Hanrui Wang, Daniel Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han

DAC 2024

NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms

Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian

TCAD 2024

Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator

Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T Chen, David Z Pan

HPCA 2024

QuCS: A Lecture Series on Quantum Computer Software and System

Zhiding Liang, Hanrui Wang

QCE 2023

DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms

Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T Chong, Song Han, Frank Mueller, Yiran Chen

QCE 2023

SnCQA: A Hardware-Efficient Equivariant Quantum Convolutional Circuit Architecture

Han Zheng, Gokul Subramanian Ravi, Christopher Kang, Hanrui Wang, Kanav Setia, Frederic T Chong, Junyu Liu

QCE 2023

SpAtten-Chip: A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices

Zexi Ji*, Hanrui Wang*, Miaorong Wang, Win-San Khwa, Meng-Fan Chang, Song Han, Anantha P Chandrakasan

ISLPED 2023

Hybrid Gate-Pulse Model for Variational Quantum Algorithms

Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi

DAC 2023

Machine Learning for Arterial Blood Pressure Prediction

Jessica Zheng*, Hanrui Wang*, Anand Chandrasekhar, Aaron D Aguirre, Song Han, Hae-Seung Lee, Charles G Sodini

CHIL 2023

Design of Quantum Computer Antivirus

Sanjay Deshpande, Chuanqi Xu, Theodoros Trochatos, Hanrui Wang, Ferhat Erata, Song Han, Yongshan Ding, Jakub Szefer

HOST 2023

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z Pan, Frederic T Chong, Song Han

ICCAD 2022

Variational Quantum Pulse Learning

Zhiding Liang*, Hanrui Wang*, Jinglei Cheng, Yongshan Ding, Hang Ren, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi

QCE 2022

RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL

Wei Shi*, Hanrui Wang*, Jiaqi Gu, Mingjie Liu, David Pan, Song Han, Nan Sun

MLCAD 2022

DeepVS: a deep learning approach for RF-based vital signs sensing

Zongxing Xie, Hanrui Wang, Song Han, Elinor Schoenfeld, Fan Ye

ACM-BCB 2022

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization

Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han

DAC 2022

QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han

DAC 2022

RaM-SAR: A Low Energy and Area Overhead, 11.3fJ/conv.-step 12b 25MS/s Secure Random-Mapping SAR ADC with Power and EM Side-channel Attack Resilience

Ruicong Chen, Hanrui Wang, Anantha Chandrakasan, Hae-Seung Lee

VLSI-C 2022

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

Hanrui Wang, Yongshan Ding, Jiaqi Gu, Zirui Li, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han

HPCA 2022

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications

Han Cai*, Ji Lin*, Yujun Lin*, Zhijian Liu*, Haotian Tang*, Hanrui Wang*, Ligeng Zhu*, Song Han

TODAES 2022

PointAcc: Efficient Point Cloud Accelerator

Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han

MICRO 2021

SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning

Hanrui Wang, Zhekai Zhang, Song Han

HPCA 2021

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Haotian Tang*, Zhijian Liu*, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han

ECCV 2020

GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning

Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han

DAC 2020

APQ: Joint Search for Nerwork Architecture, Pruning and Quantization Policy

Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han

CVPR 2020

SpArch: Efficient Architecture for Sparse Matrix Multiplication

Zhekai Zhang*, Hanrui Wang*, Song Han, William J. Dally

HPCA 2020

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han

ACL 2020

Park: An Open Platform for Learning-Augmented Computer Systems

Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh

NeurIPS 2019

Learning to Design Circuits

Hanrui Wang*, Jiacheng Yang*, Hae-Seung Lee, Song Han

NIPS 2019 MLSys Workshop

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Yihui He*, Ji Lin*, Zhijian Liu, Hanrui Wang, Li-Jia Li, and Song Han

ECCV 2018

Understanding Performance Differences of FPGAs and GPUs

Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang

FCCM 2018

Efficient AI & Quantum Computing

Publications

Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays

Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas

NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms

Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator

QuCS: A Lecture Series on Quantum Computer Software and System

DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms

SnCQA: A Hardware-Efficient Equivariant Quantum Convolutional Circuit Architecture

SpAtten-Chip: A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices

Hybrid Gate-Pulse Model for Variational Quantum Algorithms

Machine Learning for Arterial Blood Pressure Prediction

Design of Quantum Computer Antivirus

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

Variational Quantum Pulse Learning

RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL

DeepVS: a deep learning approach for RF-based vital signs sensing

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization

QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

RaM-SAR: A Low Energy and Area Overhead, 11.3fJ/conv.-step 12b 25MS/s Secure Random-Mapping SAR ADC with Power and EM Side-channel Attack Resilience

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications

PointAcc: Efficient Point Cloud Accelerator

SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning

APQ: Joint Search for Nerwork Architecture, Pruning and Quantization Policy

SpArch: Efficient Architecture for Sparse Matrix Multiplication

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Park: An Open Platform for Learning-Augmented Computer Systems

Learning to Design Circuits

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Understanding Performance Differences of FPGAs and GPUs