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Yingyan (Celine) Lin
Yingyan (Celine) Lin
Inne imiona/nazwiskaYingyan Lin, Celine Lin, YingyanCeline Lin
Associate Professor, Georgia Institute of Technology
Zweryfikowany adres z gatech.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
3012020
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, 389-400, 2018
2572018
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 80, 2018
1532018
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
1452021
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'2021, 1051-1063, 2021
1262021
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
FPGA'2020, 2020
1212020
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
Y Fu, W Chen, H Wang, H Li, Y Lin, Z Wang
ICML'2020, 2020
1122020
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
NeurIPS'2019, 5139-5151, 2019
1042019
ShiftAddNet: A Hardware-Inspired Deep Network
H You, X Chen, Y Zhang, C Li, S Li, Z Liu, Z Wang, Y Lin
NeurIPS'2020, 2020
992020
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
982020
PredictiveNet: An energy-efficient convolutional neural network via zero prediction
NS Yingyan Lin, Charbel Sakr, Yongjune Kim
ISCAS'2017, 2017
93*2017
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
ISCA'2020, 2020
922020
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Y Fu, S Zhang, S Wu, C Wan, Y Lin
ICLR'2022, 2022
902022
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
882022
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
842022
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
802022
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
Y Fu, Y Zhang, Z Yu, S Li, Z Ye, C Li, C Wan, YC Lin
ICCAD'2023, 2023
672023
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
652021
ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention
J Dass, S Wu, H Shi, C Li, Z Ye, Z Wang, Y Lin
HPCA'2023, 2022
592022
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering
C Li, S Li, Y Zhao, W Zhu, Y Lin
ICCAD'2022, 2022
582022
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Prace 1–20