Artykuły udostępnione publicznie: - Huanrui YangWięcej informacji
Niedostępne w żadnym miejscu: 2
Efficient fpga implementation of a convolutional neural network for radar signal processing
J Zhang, Y Huang, H Yang, M Martinez, G Hickman, J Krolik, H Li
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021
Upoważnienia: US Department of Defense
Task-agnostic privacy-preserving representation learning via federated learning
A Li, H Yang, Y Chen
Federated Learning: Privacy and Incentive, 51-65, 2020
Upoważnienia: US National Science Foundation
Dostępne w jakimś miejscu: 21
Soteria: Provable defense against privacy leakage in federated learning from representation perspective
J Sun, A Li, B Wang, H Yang, H Li, Y Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Upoważnienia: US National Science Foundation, US Department of Defense
AtomLayer: A universal ReRAM-based CNN accelerator with atomic layer computation
X Qiao, X Cao, H Yang, L Song, H Li
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
Upoważnienia: US National Science Foundation, US Department of Energy
DVERGE: diversifying vulnerabilities for enhanced robust generation of ensembles
H Yang, J Zhang, H Dong, N Inkawhich, A Gardner, A Touchet, W Wilkes, ...
Advances in Neural Information Processing Systems 33 (2020), 2020
Upoważnienia: US Department of Defense
Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification
H Yang, M Tang, W Wen, F Yan, D Hu, A Li, H Li, Y Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Upoważnienia: US National Science Foundation, US Department of Energy
TIPRDC: task-independent privacy-respecting data crowdsourcing framework for deep learning with anonymized intermediate representations
A Li, Y Duan, H Yang, Y Chen, J Yang
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Upoważnienia: US National Science Foundation
Noisyquant: Noisy bias-enhanced post-training activation quantization for vision transformers
Y Liu, H Yang, Z Dong, K Keutzer, L Du, S Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Upoważnienia: National Natural Science Foundation of China
APOLLO: An automated power modeling framework for runtime power introspection in high-volume commercial microprocessors
Z Xie, X Xu, M Walker, J Knebel, K Palaniswamy, N Hebert, J Hu, H Yang, ...
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021
Upoważnienia: US National Science Foundation
Tprune: Efficient transformer pruning for mobile devices
J Mao, H Yang, A Li, H Li, Y Chen
ACM Transactions on Cyber-Physical Systems 5 (3), 1-22, 2021
Upoważnienia: US National Science Foundation
Multi-objective optimization of ReRAM crossbars for robust DNN inferencing under stochastic noise
X Yang, S Belakaria, BK Joardar, H Yang, JR Doppa, PP Pande, ...
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
Upoważnienia: US National Science Foundation, US Department of Defense
MAT: A multi-strength adversarial training method to mitigate adversarial attacks
C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, Y Chen, H Li
2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 476-481, 2018
Upoważnienia: US National Science Foundation, US Department of Defense
Adversarial attack: A new threat to smart devices and how to defend it
C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, H Li
IEEE Consumer Electronics Magazine 9 (4), 49-55, 2020
Upoważnienia: US National Science Foundation, US Department of Defense
Efficient deweahter mixture-of-experts with uncertainty-aware feature-wise linear modulation
R Zhang, Y Luo, J Liu, H Yang, Z Dong, D Gudovskiy, T Okuno, Y Nakata, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16812 …, 2024
Upoważnienia: National Natural Science Foundation of China
Hero: Hessian-enhanced robust optimization for unifying and improving generalization and quantization performance
H Yang, X Yang, NZ Gong, Y Chen
Proceedings of the 59th ACM/IEEE Design Automation Conference, 25-30, 2022
Upoważnienia: US National Science Foundation, US Department of Defense
Exploring bit-slice sparsity in deep neural networks for efficient ReRAM-based deployment
J Zhang, H Yang, F Chen, Y Wang, H Li
2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019
Upoważnienia: US National Science Foundation
Essence: Exploiting structured stochastic gradient pruning for endurance-aware reram-based in-memory training systems
X Yang, H Yang, JR Doppa, PP Pande, K Chakrabartys, H Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
Upoważnienia: US National Science Foundation
Csq: Growing mixed-precision quantization scheme with bi-level continuous sparsification
L Xiao, H Yang, Z Dong, K Keutzer, L Du, S Zhang
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
Upoważnienia: National Natural Science Foundation of China
QD-BEV: quantization-aware view-guided distillation for multi-view 3D object detection
Y Zhang, Z Dong, H Yang, M Lu, CC Tseng, Y Du, K Keutzer, L Du, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Upoważnienia: National Natural Science Foundation of China
A deep-learning-based multi-modal ECG and PCG processing framework for cardiac analysis
Q Huang, H Yang, E Zeng, Y Chen
Authorea Preprints, 2023
Upoważnienia: US National Science Foundation
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