Skip to content

Liu Ke

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

6

Active years

2015–2022

Best venue rank

A*

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2022HPCAHercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation.Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang
2022HPCASecNDP: Secure Near-Data Processing with Untrusted Memory.Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, Hsien-Hsin S. Lee
2022ISCAMeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows.Siying Feng, Xin He, Kuan-Yu Chen, Liu Ke, Xuan Zhang, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski
2020ISCARecNMP: Accelerating Personalized Recommendation with Near-Memory Processing.Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang
2019FPGASparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network.Xin He, Liu Ke, Xuan Zhang
2019ICCADNeural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices.Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang
2018ISLPEDAxTrain: Hardware-Oriented Neural Network Training for Approximate Inference.Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang
2018ISLPEDNNest: Early-Stage Design Space Exploration Tool for Neural Network Inference Accelerators.Liu Ke, Xin He, Xuan Zhang
2015APSECVerifying Automotive Systems in EAST-ADL/Stateflow Using UPPAAL.Eun-Young Kang, Liu Ke, Meng-Zhe Hua, Yu-Xuan Wang