Fast-Gaussian SIFT and its hardware architecture for keypoint detection. - Liu Ke 001; Jun Wang 015; Xijun Zhao; Fan Liang (APCCAS, 2016)

Fast-Gaussian SIFT for Fast and Accurate Feature Extraction. - Liu Ke 001; Jun Wang 015; Zhixian Ye (PCM (2), 2016)

AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. - Xin He; Liu Ke 001; Wenyan Lu; Guihai Yan; Xuan Zhang 001 (ISLPED, 2018)

NNest: Early-Stage Design Space Exploration Tool for Neural Network Inference Accelerators. - Liu Ke 001; Xin He; Xuan Zhang 001 (ISLPED, 2018)

SparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network. - Xin He; Liu Ke 001; Xuan Zhang 001 (FPGA, 2019)

Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. - Weidong Cao 001; Liu Ke 001; Ayan Chakrabarti; Xuan Zhang 001 (ICCAD, 2019)

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. - Liu Ke 001; Udit Gupta; Benjamin Youngjae Cho; David Brooks 001; Vikas Chandra; Utku Diril; Amin Firoozshahian; Kim M. Hazelwood; Bill Jia; Hsien-Hsin S. Lee; Meng Li 004; Bert Maher; et al. (ISCA, 2020)

A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks. - Xin He; Guihai Yan; Wenyan Lu; Xuan Zhang 001; Liu Ke 001 (IEEE Des. Test, 2020)

SecNDP: Secure Near-Data Processing with Untrusted Memory. - Wenjie Xiong 001; Liu Ke 001; 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 001; et al. (IACR Cryptol. ePrint Arch., 2021)

Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM. - Weidong Cao 001; Liu Ke 001; Ayan Chakrabarti; Xuan Zhang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. - Liu Ke 001; Udit Gupta; Mark Hempstead; Carole-Jean Wu; Hsien-Hsin S. Lee; Xuan Zhang 001 (HPCA, 2022)

MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows. - Siying Feng; Xin He; Kuan-Yu Chen 001; Liu Ke 001; Xuan Zhang 001; David T. Blaauw; Trevor N. Mudge; Ronald G. Dreslinski (ISCA, 2022)

DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation. - Liu Ke 001; Xuan Zhang 001; Benjamin Lee; G. Edward Suh; Hsien-Hsin S. Lee (CoRR, 2022)

Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems. - Hanieh Hashemi; Wenjie Xiong 001; Liu Ke 001; Kiwan Maeng; Murali Annavaram; G. Edward Suh; Hsien-Hsin S. Lee (CoRR, 2022)

Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM. - Liu Ke 001; Xuan Zhang 001; Jinin So; Jong-Geon Lee; Shinhaeng Kang; Sukhan Lee 002; Songyi Han; YeonGon Cho; Jin Hyun Kim; Yongsuk Kwon; KyungSoo Kim 003; Jin Jung; et al. (IEEE Micro, 2022)

Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference. - Haiyang Huang 003; Newsha Ardalani; Anna Y. Sun; Liu Ke 001; Hsien-Hsin S. Lee; Anjali Sridhar; Shruti Bhosale; Carole-Jean Wu; Benjamin Lee (CoRR, 2023)

Toward Efficient Inference for Mixture of Experts. - Haiyang Huang 003; Newsha Ardalani; Anna Y. Sun; Liu Ke 001; Shruti Bhosale; Hsien-Hsin S. Lee; Carole-Jean Wu; Benjamin Lee (NeurIPS, 2024)

Accelerating Confidential Recommendation Model Inference With Near-Memory Processing. - Wenjie Xiong 001; Liu Ke 001; Maxim Ostapenko; Yongmin Tai; Yeongon Cho; Joon-Ho Song; Jinin So; Kyungsoo Kim 003; Yongsuk Kwon; Jin Jung; Jieun Lee; Byeongho Kim; et al. (IEEE Trans. Dependable Secur. Comput., 2025)