Liu Ke

Orcid: 0000-0001-7985-820X

Affiliations:
  • Meta
  • Washington University, St. Louis, MO, USA


According to our database1, Liu Ke authored at least 16 papers between 2016 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference.
CoRR, 2023

2022
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM.
IEEE Micro, 2022

Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems.
CoRR, 2022

DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation.
CoRR, 2022

MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021
Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

SecNDP: Secure Near-Data Processing with Untrusted Memory.
IACR Cryptol. ePrint Arch., 2021

2020
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks.
IEEE Des. Test, 2020

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices.
Proceedings of the International Conference on Computer-Aided Design, 2019

SparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018
NNest: Early-Stage Design Space Exploration Tool for Neural Network Inference Accelerators.
Proceedings of the International Symposium on Low Power Electronics and Design, 2018

AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference.
Proceedings of the International Symposium on Low Power Electronics and Design, 2018

2016
Fast-Gaussian SIFT for Fast and Accurate Feature Extraction.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Fast-Gaussian SIFT and its hardware architecture for keypoint detection.
Proceedings of the 2016 IEEE Asia Pacific Conference on Circuits and Systems, 2016


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