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Hanrui Wang
Hanrui Wang
Ph.D. Candidate, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Amc: Automl for model compression and acceleration on mobile devices
Y He*, J Lin*, Z Liu, H Wang, LJ Li, S Han
ECCV 2018, 784-800, 2018
16452018
Searching efficient 3d architectures with sparse point-voxel convolution
H Tang, Z Liu, S Zhao, Y Lin, J Lin, H Wang, S Han
ECCV 2020, 2020
6142020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
H Wang, Z Wu, Z Liu, H Cai, L Zhu, C Gan, S Han
ACL 2020, 2020
2822020
Spatten: Efficient sparse attention architecture with cascade token and head pruning
H Wang, Z Zhang, S Han
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
2732021
GCN-RL circuit designer: Transferable transistor sizing with graph neural networks and reinforcement learning
H Wang, K Wang, J Yang, L Shen, N Sun, HS Lee, S Han
DAC 2020, 1-6, 2020
2372020
SpArch: Efficient Architecture for Sparse Matrix Multiplication
H Wang*, Z Zhang*, S Han, WJ Dally
HPCA 2020, 2020
2352020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
T Wang, K Wang, H Cai, J Lin, Z Liu, H Wang, Y Lin, S Han
CVPR 2020, 2020
2082020
Understanding performance differences of FPGAs and GPUs
J Cong*, Z Fang*, M Lo*, H Wang*, J Xu*, S Zhang*
FCCM 2018, 93-96, 2018
1612018
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
H Wang, Y Ding, J Gu, Y Lin, DZ Pan, FT Chong, S Han
HPCA 2022, 2021
1392021
Learning to Design Circuits
H Wang, J Yang, HS Lee, S Han
NeurIPS SysML 2018, 2018
1022018
Park: An Open Platform for Learning-Augmented Computer Systems
H Mao, P Negi, A Narayan, H Wang, J Yang, H Wang, R Marcus, ...
NeurIPS 2019, 2490-2502, 2019
922019
Enable deep learning on mobile devices: Methods, systems, and applications
H Cai*, J Lin*, Y Lin*, Z Liu*, H Tang*, H Wang*, L Zhu*, S Han
TODAES 2022 27 (3), 1-50, 2022
892022
Pointacc: Efficient point cloud accelerator
Y Lin, Z Zhang, H Tang, H Wang, S Han
MICRO 2021, 449-461, 2021
602021
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
H Wang, J Gu, Y Ding, Z Li, FT Chong, DZ Pan, S Han
DAC 2022, 2021
58*2021
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
H Wang, Z Li, J Gu, Y Ding, DZ Pan, S Han
DAC 2022, 2022
53*2022
Variational quantum pulse learning
H Wang*, Z Liang*, J Cheng, Y Ding, H Ren, X Qian, S Han, W Jiang, ...
QCE 2022, 2022
47*2022
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
H Wang, P Liu, J Cheng, Z Liang, J Gu, Z Li, Y Ding, W Jiang, Y Shi, ...
ICCAD 2022, 2022
40*2022
NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms
Z Liang, J Cheng, H Ren, H Wang, F Hua, Y Ding, F Chong, S Han, Y Shi, ...
TCAD 2024, 2024
35*2024
DeepVS: a deep learning approach for RF-based vital signs sensing
Z Xie, H Wang, S Han, E Schoenfeld, F Ye
ACM-BCB 2022, 1-5, 2022
222022
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture
H Zheng, GS Ravi, H Wang, K Setia, FT Chong, J Liu
QCE 2023 [Best Paper Award], 2022
17*2022
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