| Recnmp: Accelerating personalized recommendation with near-memory processing L Ke, U Gupta, BY Cho, D Brooks, V Chandra, U Diril, A Firoozshahian, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 129 | 2020 |
| AxTrain: Hardware-oriented neural network training for approximate inference X He, L Ke, W Lu, G Yan, X Zhang Proceedings of the international symposium on low power electronics and …, 2018 | 31 | 2018 |
| Nnest: Early-stage design space exploration tool for neural network inference accelerators L Ke, X He, X Zhang Proceedings of the International Symposium on Low Power Electronics and …, 2018 | 31 | 2018 |
| Near-memory processing in action: Accelerating personalized recommendation with axdimm L Ke, X Zhang, J So, JG Lee, SH Kang, S Lee, S Han, YG Cho, JH Kim, ... IEEE Micro 42 (1), 116-127, 2021 | 29 | 2021 |
| Verifying automotive systems in EAST-ADL/Stateflow using UPPAAL EY Kang, L Ke, MZ Hua, YX Wang 2015 Asia-Pacific Software Engineering Conference (APSEC), 143-150, 2015 | 13 | 2015 |
| Statistical analysis of energy-aware real-time automotive systems in EAST-ADL/Stateflow EY Kang, J Chen, L Ke, S Chen 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA …, 2016 | 11 | 2016 |
| Neural network-inspired analog-to-digital conversion to achieve super-resolution with low-precision RRAM devices W Cao, L Ke, A Chakrabarti, X Zhang 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-7, 2019 | 9 | 2019 |
| Evaluating neural network-inspired analog-to-digital conversion with low-precision RRAM W Cao, L Ke, A Chakrabarti, X Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 8 | 2020 |
| Hercules: Heterogeneity-aware inference serving for at-scale personalized recommendation L Ke, U Gupta, M Hempsteadis, CJ Wu, HHS Lee, X Zhang 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 6 | 2022 |
| MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows S Feng, X He, KY Chen, L Ke, X Zhang, D Blaauw, T Mudge, R Dreslinski Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 3 | 2022 |
| SecNDP: Secure Near-Data Processing with Untrusted Memory W Xiong, L Ke, D Jankov, M Kounavis, X Wang, E Northup, JA Yang, ... 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 2 | 2022 |
| Fast-Gaussian SIFT and its hardware architecture for keypoint detection L Ke, J Wang, X Zhao, F Liang 2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 436-439, 2016 | 2 | 2016 |
| Fast-Gaussian SIFT for Fast and Accurate Feature Extraction L Ke, J Wang, Z Ye Advances in Multimedia Information Processing-PCM 2016: 17th Pacific-Rim …, 2016 | 2 | 2016 |
| DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation L Ke, X Zhang, B Lee, GE Suh, HHS Lee arXiv preprint arXiv:2212.00939, 2022 | 1 | 2022 |
| A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks X He, W Lu, K Liu, G Yan, X Zhang IEEE Design & Test 37 (1), 36-45, 2019 | 1 | 2019 |
| Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems H Hashemi, W Xiong, L Ke, K Maeng, M Annavaram, GE Suh, HHS Lee arXiv preprint arXiv:2212.06264, 2022 | | 2022 |
| Computer memory module processing device with cache storage L Ke, X Zhang, U Gupta, WU Carole-Jean, MD Hempstead, B Reagen, ... US Patent 11,442,866, 2022 | | 2022 |
| Transl EAST-ADL/Stateflow Models into Probabilistic Verifiable Modelsating: Statistical Verification of Vehicle Systems in EAST-ADL/Stateflow using UPPAAL Tools EY Kang, J Chen, L Ke, S Chen | | 2019 |
| Translating EAST-ADL/Stateflow Models into Probabilistic Verifiable Models: Statistical Verification of Vehicle Systems in EAST-ADL/Stateflow using UPPAAL Tools EY Kang, J Chen, L Ke, S Chen | | 2019 |
| SparseBNN: Joint Algorithm/Hardware Optimization to Exploit Structured Sparsity in Binary Neural Network X He, L Ke, X Zhang Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019 | | 2019 |
Xuan ZhangAssociate Professor, Washington UniversityAdresse e-mail validée de wustl.edu
