Yingyan Lin

According to our database1, Yingyan Lin authored at least 24 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference.
IEEE J. Sel. Top. Signal Process., 2020

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks.
CoRR, 2020

AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.
CoRR, 2020

A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision.
CoRR, 2020

Bringing Powerful Machine-Learning Systems to Daily-Life Devices via Algorithm-Hardware Co-Design.
Proceedings of the 2020 International Symposium on VLSI Design, Automation and Test, 2020

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving.
CoRR, 2019

Drawing early-bird tickets: Towards more efficient training of deep networks.
CoRR, 2019

E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Live Demonstration: Bringing Powerful Deep Learning into Daily-Life Devices (Mobiles and FPGAs) Via Deep k-Means.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018
A Rank Decomposed Statistical Error Compensation Technique for Robust Convolutional Neural Networks in the Near Threshold Voltage Regime.
J. Signal Process. Syst., 2018

ASTRO: Autonomous, Sensing, and Tetherless netwoRked drOnes.
Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, 2018

On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework.
Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Energy-efficient Convolutional Neural Networks via Statistical Error Compensated Near Threshold Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
PredictiveNet: An energy-efficient convolutional neural network via zero prediction.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016
A Study of BER-Optimal ADC-Based Receiver for Serial Links.
IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Variation-Tolerant Architectures for Convolutional Neural Networks in the Near Threshold Voltage Regime.
Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems, 2016

2012
A fully automated technique for constructing FSM abstractions of non-ideal latches in communication systems.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012


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