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Hanrui Wang 0002
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation (former): University of California, Los Angeles, CA, USA
- affiliation (former): Fudan University, Shanghai, China
Other persons with the same name
- Hanrui Wang — disambiguation page
- Hanrui Wang 0001 (aka: HanRui Wang 0001, Han-Rui Wang 0001) — Xiamen University, School of Informatics, China
- Hanrui Wang 0003 — Monash University Malaysia, School of Information Technology, Malaysia
- Hanrui Wang 0004 — Weichai Power Co., Ltd., China
- Hanrui Wang 0005
— National Institute of Informatics, Tokyo, Japan
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2020 – today
- 2024
- [j2]Zhiding Liang
, Jinglei Cheng
, Hang Ren
, Hanrui Wang
, Fei Hua, Zhixin Song, Yongshan Ding
, Frederic T. Chong
, Song Han
, Xuehai Qian, Yiyu Shi
:
NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(6): 1834-1847 (2024) - [c33]Hanrui Wang
, Daniel Bochen Tan
, Pengyu Liu
, Yilian Liu
, Jiaqi Gu
, Jason Cong
, Song Han
:
Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas. DAC 2024: 306:1-306:6 - [c32]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. HPCA 2024: 686-703 - [c31]Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han:
Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays. ISCA 2024: 293-309 - [i32]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR abs/2401.05571 (2024) - [i31]Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Helen Li, Yiran Chen:
Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. CoRR abs/2401.17450 (2024) - [i30]Pingzhi Li, Junyu Liu, Hanrui Wang, Tianlong Chen:
Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent. CoRR abs/2405.00252 (2024) - [i29]Dantong Li, Dikshant Dulal, Mykhailo Ohorodnikov, Hanrui Wang, Yongshan Ding:
Efficient Quantum Gradient and Higher-order Derivative Estimation via Generalized Hadamard Test. CoRR abs/2408.05406 (2024) - [i28]Junyao Zhang, Guanglei Zhou, Feng Cheng, Jonathan Ku, Qi Ding, Jiaqi Gu, Hanrui Wang, Hai Helen Li, Yiran Chen:
qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers. CoRR abs/2411.02447 (2024) - [i27]Dimple Vijay Kochar, Hanrui Wang, Anantha Chandrakasan, Xin Zhang:
LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog Circuits. CoRR abs/2411.12930 (2024) - 2023
- [c30]Jessica Zheng, Hanrui Wang, Anand Chandrasekhar, Aaron D. Aguirre, Song Han, Hae-Seung Lee, Charles G. Sodini:
Machine Learning for Arterial Blood Pressure Prediction. CHIL 2023: 427-439 - [c29]Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. DAC 2023: 1-6 - [c28]Sanjay Deshpande, Chuanqi Xu, Theodoros Trochatos, Hanrui Wang, Ferhat Erata, Song Han, Yongshan Ding
, Jakub Szefer:
Design of Quantum Computer Antivirus. HOST 2023: 260-270 - [c27]Zexi Ji, Hanrui Wang, Miaorong Wang, Win-San Khwa, Meng-Fan Chang, Song Han, Anantha P. Chandrakasan:
A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices. ISLPED 2023: 1-6 - [c26]Zhiding Liang, Hanrui Wang:
QuCS: A Lecture Series on Quantum Computer Software and System. QCE 2023: 40-48 - [c25]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. QCE 2023: 51-62 - [c24]Han Zheng, Christopher Kang, Gokul Subramanian Ravi, Hanrui Wang, Kanav Setia, Frederic T. Chong, Junyu Liu
:
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture. QCE 2023: 236-245 - [c23]Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen:
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. QCE 2023: 1062-1073 - [i26]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. CoRR abs/2305.19533 (2023) - [i25]Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen:
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. CoRR abs/2308.06634 (2023) - [i24]Zhiding Liang, Hanrui Wang:
QuCS: A Lecture Series on Quantum Computer Software and System. CoRR abs/2309.15908 (2023) - [i23]Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han:
FPQA-C: A Compilation Framework for Field Programmable Qubit Array. CoRR abs/2311.15123 (2023) - [i22]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:
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR abs/2311.16035 (2023) - [i21]Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han:
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. CoRR abs/2311.16082 (2023) - [i20]Hanrui Wang, Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han:
Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas. CoRR abs/2311.16190 (2023) - [i19]Hanrui Wang, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jonathan M. Baker, Frederic T. Chong, Song Han:
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting. CoRR abs/2311.16214 (2023) - 2022
- [j1]Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han:
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Trans. Design Autom. Electr. Syst. 27(3): 20:1-20:50 (2022) - [c22]Zongxing Xie, Hanrui Wang, Song Han, Elinor Schoenfeld, Fan Ye:
DeepVS: a deep learning approach for RF-based vital signs sensing. BCB 2022: 17:1-17:5 - [c21]Hanrui Wang, Jiaqi Gu, Yongshan Ding
, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han:
QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. DAC 2022: 1-6 - [c20]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding
, David Z. Pan, Song Han:
QOC: quantum on-chip training with parameter shift and gradient pruning. DAC 2022: 655-660 - [c19]Hanrui Wang, Yongshan Ding
, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA 2022: 692-708 - [c18]Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding
, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han:
TorchQuantum Case Study for Robust Quantum Circuits. ICCAD 2022: 136:1-136:9 - [c17]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. MLCAD 2022: 35-41 - [c16]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:
Variational Quantum Pulse Learning. QCE 2022: 556-565 - [c15]Ruicong Chen, Hanrui Wang, Anantha P. Chandrakasan, Hae-Seung Lee:
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. VLSI Technology and Circuits 2022: 94-95 - [i18]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. CoRR abs/2202.13239 (2022) - [i17]Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han:
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. CoRR abs/2204.11786 (2022) - [i16]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. CoRR abs/2207.06412 (2022) - [i15]Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding
, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian:
PAN: Pulse Ansatz on NISQ Machines. CoRR abs/2208.01215 (2022) - [i14]Jinglei Cheng, Hanrui Wang, Zhiding Liang, Yiyu Shi, Song Han, Xuehai Qian:
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits. CoRR abs/2210.08190 (2022) - [i13]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:
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR abs/2210.16724 (2022) - [i12]Han Zheng, Gokul Subramanian Ravi, Hanrui Wang, Kanav Setia, Frederic T. Chong, Junyu Liu:
Benchmarking variational quantum circuits with permutation symmetry. CoRR abs/2211.12711 (2022) - [i11]Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. CoRR abs/2212.00661 (2022) - 2021
- [c14]Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He:
A Deep Learning Framework for Self-evolving Hierarchical Community Detection. CIKM 2021: 372-381 - [c13]Hanrui Wang, Zhekai Zhang, Song Han:
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning. HPCA 2021: 97-110 - [c12]Yujun Lin
, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han:
PointAcc: Efficient Point Cloud Accelerator. MICRO 2021: 449-461 - [i10]Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. CoRR abs/2107.10845 (2021) - [i9]Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han:
PointAcc: Efficient Point Cloud Accelerator. CoRR abs/2110.07600 (2021) - [i8]Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han:
RoQNN: Noise-Aware Training for Robust Quantum Neural Networks. CoRR abs/2110.11331 (2021) - 2020
- [c11]Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han:
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. ACL 2020: 7675-7688 - [c10]Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin
, Song Han:
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CVPR 2020: 2075-2084 - [c9]Hanrui Wang, Kuan Wang, Jiacheng Yang
, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han:
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning. DAC 2020: 1-6 - [c8]Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin
, Ji Lin, Hanrui Wang, Song Han:
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. ECCV (28) 2020: 685-702 - [c7]Zhekai Zhang, Hanrui Wang, Song Han, William J. Dally:
SpArch: Efficient Architecture for Sparse Matrix Multiplication. HPCA 2020: 261-274 - [i7]Zhekai Zhang, Hanrui Wang, Song Han, William J. Dally:
SpArch: Efficient Architecture for Sparse Matrix Multiplication. CoRR abs/2002.08947 (2020) - [i6]Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han:
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning. CoRR abs/2005.00406 (2020) - [i5]Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han:
MicroNet for Efficient Language Modeling. CoRR abs/2005.07877 (2020) - [i4]Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han:
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. CoRR abs/2005.14187 (2020) - [i3]Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han:
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. CoRR abs/2007.16100 (2020) - [i2]Hanrui Wang, Zhekai Zhang, Song Han:
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning. CoRR abs/2012.09852 (2020)
2010 – 2019
- 2019
- [c6]Yifan Liang, Chang Liu, Hanrui Wang, KunHong Liu:
The Research of Ternary Error-Correcting Output Codes Based on Genetic Programming. ISPA/BDCloud/SocialCom/SustainCom 2019: 831-837 - [c5]Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han:
MicroNet for Efficient Language Modeling. NeurIPS (Competition and Demos) 2019: 215-231 - [c4]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:
Park: An Open Platform for Learning-Augmented Computer Systems. NeurIPS 2019: 2490-2502 - 2018
- [c3]Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li
, Song Han:
AMC: AutoML for Model Compression and Acceleration on Mobile Devices. ECCV (7) 2018: 815-832 - [c2]Jason Cong, Zhenman Fang, Michael Lo
, Hanrui Wang, Jingxian Xu, Shaochong Zhang:
Understanding Performance Differences of FPGAs and GPUs. FCCM 2018: 93-96 - [c1]Jason Cong, Zhenman Fang, Michael Lo, Hanrui Wang, Jingxian Xu, Shaochong Zhang:
Understanding Performance Differences of FPGAs and GPUs: (Abtract Only). FPGA 2018: 288 - [i1]Hanrui Wang, Jiacheng Yang, Hae-Seung Lee, Song Han:
Learning to Design Circuits. CoRR abs/1812.02734 (2018)
Coauthor Index
aka: Fred Chong
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