Yingyan (Celine) Lin
Yingyan (Celine) Lin
Assistant Professor, Rice University
Verified email at rice.edu - Homepage
Cited by
Cited by
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
The International Conference on Mobile Systems, Applications, and Services …, 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
Proceedings of the 35th International Conference on Machine Learning (ICML …, 2018
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
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
Variation-tolerant architectures for convolutional neural networks in the near threshold voltage regime
Y Lin, S Zhang, NR Shanbhag
IEEE international workshop on signal processing systems (SiPS'2016), 17-22, 2016
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
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
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
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
An efficiency-enhanced low dropout linear HB LED driver for automotive application
L Yingyan, Z Jing, Z Xue-cheng, L Wei
2008 IEEE International Conference on Electron Devices and Solid-State …, 2008
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
ASTRO: Autonomous, Sensing, and Tetherless netwoRked drOnes
R Petrolo, Y Lin, E Knightly
Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks …, 2018
EnergyNet: Energy-Efficient Dynamic Inference
Y Wang, T Nguyen, Y Zhao, Z Wang, Y Lin, R Baraniuk
High-speed, low switching noise and load adaptive output buffer
Y Lin, X Zou, Z Zheng, W Huo, X Chen, W Kang
Proceedings of the 2009 12th International Symposium on Integrated Circuits …, 2009
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
A study of BER-optimal ADC-based receiver for serial links
Y Lin, MS Keel, A Faust, A Xu, NR Shanbhag, E Rosenbaum, AC Singer
IEEE Transactions on Circuits and Systems I: Regular Papers 63 (5), 693-704, 2016
HALO: Hardware-Aware Learning to Optimize
C Li, T Chen, H You, Z Wang, Y Lin
The 16th European Conference on Computer Vision (ECCV'2020), 2020
Design of a Window-Comparator CMOS Oscillatorwith External Synchronization Ability
K Zhang, Y Lin, J Zhang, S Liu
Microelectronics and Computers 24 (12), 183-186, 2007
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
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Y Fu, H You, Y Zhao, Y Wang, C Li, K Gopalakrishnan, Z Wang, Y Lin
Advances in Neural Information Processing Systems (NeurIPS'2020), 2020
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