Hanrui Wang

According to our database, Hanrui Wang authored at least 46 papers between 2018 and 2024.

Collaborative distances:

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

2024

Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers.

Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Helen Li, Yiran Chen

CoRR, 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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting.

Hanrui Wang, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jonathan M. Baker, Frederic T. Chong, Song Han

CoRR, 2023

Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas.

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

CoRR, 2023

Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers.

Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han

CoRR, 2023

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training.

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

CoRR, 2023

FPQA-C: A Compilation Framework for Field Programmable Qubit Array.

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

CoRR, 2023

DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator.

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

CoRR, 2023

SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture.

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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

QuCS: A Lecture Series on Quantum Computer Software and System.

Zhiding Liang, Hanrui Wang

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits.

Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

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

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Design of Quantum Computer Antivirus.

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

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 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

Proceedings of the 60th ACM/IEEE Design Automation Conference, 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

Proceedings of the Conference on Health, Inference, and Learning, 2023

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

ACM Trans. Design Autom. Electr. Syst., 2022

Benchmarking variational quantum circuits with permutation symmetry.

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

CoRR, 2022

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

CoRR, 2022

TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits.

Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian

CoRR, 2022

PAN: Pulse Ansatz on NISQ Machines.

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

CoRR, 2022

On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks.

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

CoRR, 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 P. Chandrakasan, Hae-Seung Lee

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

Variational Quantum Pulse Learning.

Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

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

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

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

TorchQuantum Case Study for Robust Quantum Circuits.

Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han

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

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits.

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

QOC: quantum on-chip training with parameter shift and gradient pruning.

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

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

QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization.

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

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

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

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

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

RoQNN: Noise-Aware Training for Robust Quantum Neural Networks.

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

CoRR, 2021

PointAcc: Efficient Point Cloud Accelerator.

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

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

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

Hanrui Wang, Zhekai Zhang, Song Han

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

A Deep Learning Framework for Self-evolving Hierarchical Community Detection.

Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

SpArch: Efficient Architecture for Sparse Matrix Multiplication.

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

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution.

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

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing.

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

MicroNet for Efficient Language Modeling.

Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Park: An Open Platform for Learning-Augmented Computer Systems.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

The Research of Ternary Error-Correcting Output Codes Based on Genetic Programming.

Yifan Liang, Chang Liu, Hanrui Wang, KunHong Liu

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018

Learning to Design Circuits.

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

CoRR, 2018

Understanding Performance Differences of FPGAs and GPUs: (Abtract Only).

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

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

Understanding Performance Differences of FPGAs and GPUs.

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

Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

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

Proceedings of the Computer Vision - ECCV 2018, 2018