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ORCIDLiu Ke 0001
Person information
- affiliation: Meta
- affiliation: Washington University, St. Louis, MO, USA
Other persons with the same name
- Liu Ke 0002 — Sun Yat-Sen University, School of Mobile Information Engineering, China
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2020 – today
- 2023
[i8]Haiyang Huang, Newsha Ardalani, Anna Y. Sun, Liu Ke, Hsien-Hsin S. Lee, Anjali Sridhar, Shruti Bhosale, Carole-Jean Wu, Benjamin Lee:
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference. CoRR abs/2303.06182 (2023)- 2022
- [j3]Liu Ke
, Xuan Zhang, Jinin So, Jong-Geon Lee, Shinhaeng Kang, Sukhan Lee, Songyi Han, YeonGon Cho, Jin Hyun Kim, Yongsuk Kwon, KyungSoo Kim, Jin Jung, IlKwon Yun, Sung Joo Park, Hyunsun Park, Joon-Ho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim, Hsien-Hsin S. Lee:
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM. IEEE Micro 42(1): 116-127 (2022) - [c10]Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang:
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. HPCA 2022: 141-154 - [c9]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:
SecNDP: Secure Near-Data Processing with Untrusted Memory. HPCA 2022: 244-258 - [c8]Siying Feng, Xin He, Kuan-Yu Chen, Liu Ke, Xuan Zhang, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski:
MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows. ISCA 2022: 245-258 - [i7]Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang:
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. CoRR abs/2203.07424 (2022) - [i6]Liu Ke, Xuan Zhang, Benjamin Lee, G. Edward Suh, Hsien-Hsin S. Lee:
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation. CoRR abs/2212.00939 (2022) - [i5]Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee:
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems. CoRR abs/2212.06264 (2022) - 2021
- [j2]Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang:
Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 808-821 (2021) - [i4]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:
SecNDP: Secure Near-Data Processing with Untrusted Memory. IACR Cryptol. ePrint Arch. 2021: 1642 (2021) - 2020
- [j1]Xin He, Guihai Yan, Wenyan Lu, Xuan Zhang, Liu Ke:
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks. IEEE Des. Test 37(1): 36-45 (2020) - [c7]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:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. ISCA 2020: 790-803
2010 – 2019
- 2019
- [c6]Xin He, Liu Ke, Xuan Zhang:
SparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network. FPGA 2019: 117-118 - [c5]Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang:
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. ICCAD 2019: 1-7 - [i3]Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang:
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. CoRR abs/1911.12815 (2019) - [i2]Liu Ke, Udit Gupta, Carole-Jean Wu, Benjamin Youngjae Cho, Mark Hempstead, Brandon Reagen, Xuan Zhang, David M. 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:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. CoRR abs/1912.12953 (2019) - 2018
- [c4]Liu Ke, Xin He, Xuan Zhang:
NNest: Early-Stage Design Space Exploration Tool for Neural Network Inference Accelerators. ISLPED 2018: 4:1-4:6 - [c3]Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. ISLPED 2018: 20:1-20:6 - [i1]Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. CoRR abs/1805.08309 (2018) - 2016
- [c2]Liu Ke, Jun Wang, Xijun Zhao, Fan Liang:
Fast-Gaussian SIFT and its hardware architecture for keypoint detection. APCCAS 2016: 436-439 - [c1]Liu Ke, Jun Wang, Zhixian Ye:
Fast-Gaussian SIFT for Fast and Accurate Feature Extraction. PCM (2) 2016: 355-365
Coauthor Index
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