Yingyan (Celine) Lin
Yingyan (Celine) Lin
Other namesYingyan Lin, Celine Lin
Associate Professor, Georgia Institute of Technology
Verified email at - Homepage
Cited by
Cited by
Drawing early-bird tickets: Towards more efficient training of deep networks
H You, C Li, P Xu, Y Fu, Y Wang, X Chen, RG Baraniuk, Z Wang, Y Lin
ICLR'2020 Spotlight, 2020
On-demand deep model compression for mobile devices: A usage-driven model selection framework
S Liu, Y Lin, Z Zhou, K Nan, H Liu, J Du
MobiSys'2018: The International Conference on Mobile Systems, Applications …, 2018
Deep -Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
J Wu, Y Wang, Z Wu, Z Wang, A Veeraraghavan, Y Lin
ICML'2018: Proceedings of the 35th International Conference on Machine …, 2018
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
C Li, Z Yu, Y Fu, Y Zhang, Y Zhao, H You, Q Yu, Y Wang, Y Lin
ICLR'2021 Spotlight, 2021
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
P Xu, X Zhang, C Hao, Y Zhao, Y Zhang, Y Wang, C Li, D Chen, Y Lin
28th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2020
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
Y Fu, W Chen, H Wang, H Li, Y Lin, Z Wang
The 37th International Conference on Machine Learning (ICML'2020), 2020
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization
T Geng, C Wu, Y Zhang, C Tan, C Xie, H You, M Herbordt, Y Lin, A Li
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings
Y Wang, Z Jiang, X Chen, P Xu, Y Zhao, Y Lin, Z Wang
Advances in Neural Information Processing Systems (NeurIPS'2019), 5139-5151, 2019
PredictiveNet: An energy-efficient convolutional neural network via zero prediction
NS Yingyan Lin, Charbel Sakr, Yongjune Kim
IEEE International Symposium on Circuits and Systems (ISCAS'2017), 2017
Dual dynamic inference: Enabling more efficient, adaptive, and controllable deep inference
Y Wang, J Shen, TK Hu, P Xu, T Nguyen, R Baraniuk, Z Wang, Y Lin
IEEE Journal of Selected Topics in Signal Processing 14 (4), 623-633, 2020
ShiftAddNet: A Hardware-Inspired Deep Network
H You, X Chen, Y Zhang, C Li, S Li, Z Liu, Z Wang, Y Lin
Advances in Neural Information Processing Systems (NeurIPS'2020), 2020
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain
W Li, P Xu, Y Zhao, H Li, Y Xie, Y Lin
IEEE/ACM International Symposium on Computer Architecture (ISCA'2020), 2020
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Y Fu, S Zhang, S Wu, C Wan, Y Lin
ICLR'2022, 2022
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
C Wan, Y Li, CR Wolfe, A Kyrillidis, NS Kim, Y Lin
ICLR'2022, 2022
BNS-GCN: Efficient full-graph training of graph convolutional networks with partition-parallelism and random boundary node sampling
C Wan, Y Li, A Li, NS Kim, Y Lin
MLSys'2022, 2022
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
Y Zhao, C Li, Y Wang, P Xu, Y Zhang, Y Lin
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
Y Zhao, X Chen, Y Wang, C Li, H You, Y Fu, Y Xie, Z Wang, Y Lin
IEEE/ACM International Symposium on Computer Architecture (ISCA'2020), 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
J Shen, Y Fu, Y Wang, P Xu, Z Wang, Y Lin
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'2020), 2020
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
H You, Z Sun, H Shi, Z Yu, Y Zhao, Y Zhang, C Li, B Li, Y Lin
HPCA'2023, 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
H You, T Geng, Y Zhang, A Li, Y Lin
HPCA'2022, 2021
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