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Ying Wang
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DeepBurning: Automatic generation of FPGA-based learning accelerators for the neural network family
Y Wang, J Xu, Y Han, H Li, X Li
2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2016
2172016
C-Brain: A deep learning accelerator that tames the diversity of CNNs through adaptive data-level parallelization
L Song, Y Wang, Y Han, X Zhao, B Liu, X Li
Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016
1142016
Engn: A high-throughput and energy-efficient accelerator for large graph neural networks
S Liang, Y Wang, C Liu, L He, LI Huawei, D Xu, X Li
IEEE Transactions on Computers 70 (9), 1511-1525, 2020
712020
Wear rate leveling: Lifetime enhancement of PRAM with endurance variation
J Dong, L Zhang, Y Han, Y Wang, X Li
Proceedings of the 48th Design Automation Conference, 972-977, 2011
612011
Linear symmetric quantization of neural networks for low-precision integer hardware
X Zhao, Y Wang, X Cai, C Liu, L Zhang
352020
Economizing TSV resources in 3-D network-on-chip design
Y Wang, YH Han, L Zhang, BZ Fu, C Liu, HW Li, X Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (3), 493-506, 2014
332014
Real-time meets approximate computing: An elastic CNN inference accelerator with adaptive trade-off between QoS and QoR
Y Wang, H Li, X Li
2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2017
292017
Re-architecting the on-chip memory sub-system of machine-learning accelerator for embedded devices
Y Wang, H Li, X Li
2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2016
292016
FCN-engine: Accelerating deconvolutional layers in classic CNN processors
D Xu, K Tu, Y Wang, C Liu, B He, H Li
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2018
282018
Retraining-based timing error mitigation for hardware neural networks
J Deng, Y Fang, Z Du, Y Wang, H Li, O Temam, P Ienne, D Novo, X Li, ...
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 593-596, 2015
282015
PIMSim: A flexible and detailed processing-in-memory simulator
S Xu, X Chen, Y Wang, Y Han, X Qian, X Li
IEEE Computer Architecture Letters 18 (1), 6-9, 2018
262018
ProPRAM: exploiting the transparent logic resources in non-volatile memory for near data computing
Y Wang, Y Han, L Zhang, H Li, X Li
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
242015
Data-aware DRAM refresh to squeeze the margin of retention time in hybrid memory cube
Y Han, Y Wang, H Li, X Li
2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 295-300, 2014
242014
Addressing the issue of processing element under-utilization in general-purpose systolic deep learning accelerators
B Liu, X Chen, Y Wang, Y Han, J Li, H Xu, X Li
Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019
192019
Cognitive {SSD}: A Deep Learning Engine for {In-Storage} Data Retrieval
S Liang, Y Wang, Y Lu, Z Yang, H Li, X Li
2019 USENIX Annual Technical Conference (USENIX ATC 19), 395-410, 2019
192019
Resilience-aware frequency tuning for neural-network-based approximate computing chips
Y Wang, J Deng, Y Fang, H Li, X Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (10 …, 2017
182017
Dadu-p: A scalable accelerator for robot motion planning in a dynamic environment
S Lian, Y Han, X Chen, Y Wang, H Xiao
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018
172018
A case of on-chip memory subsystem design for low-power CNN accelerators
Y Wang, H Li, X Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017
162017
STT-RAM buffer design for precision-tunable general-purpose neural network accelerator
L Song, Y Wang, Y Han, H Li, Y Cheng, X Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (4 …, 2017
162017
CNN-based object detection solutions for embedded heterogeneous multicore SoCs
C Wang, Y Wang, Y Han, L Song, Z Quan, J Li, X Li
2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 105-110, 2017
162017
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