Youjie Li

According to our database1, Youjie Li authored at least 14 papers between 2008 and 2022.

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

Timeline

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Links

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Bibliography

2022
Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers.
Proc. VLDB Endow., 2022

BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling.
Proceedings of Machine Learning and Systems 2022, 2022

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Visage: enabling timely analytics for drone imagery.
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Doing more with less: training large DNN models on commodity servers for the masses.
Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 2021

2020
Study on Sensitivity and Accuracy of Diagnosis of Intracranial Aneurysms Based on 256-Slice Spiral CT Angiography.
J. Medical Imaging Health Informatics, 2020

2019
DeepStore: In-Storage Acceleration for Intelligent Queries.
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

Accelerating distributed reinforcement learning with in-switch computing.
Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks.
Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2017
Energy efficient parallel neuromorphic architectures with approximate arithmetic on FPGA.
Neurocomputing, 2017

2016
Liquid state machine based pattern recognition on FPGA with firing-activity dependent power gating and approximate computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2008
Effects of deposition pressure on the microstructural and optoelectrical properties of B-doped hydrogenated nanocrystalline silicon (nc-Si: H) thin films grown by hot-wire chemical vapor deposition.
Microelectron. J., 2008


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