Publications

Found 650 results
[ Type(Desc)] Year
Conference Paper
H Li, and Y Chen. "Emerging non-volatile memory technologies: From materials, to device, circuit, and architecture." In 2007 50th Midwest Symposium on Circuits and Systems, 1-4. 2010.
Y Chen, and H Li. "Emerging sensing techniques for emerging memories." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 204-210. 2011.
Y Wang, B Li, R Luo, Y Chen, N Xu, and H Yang. "Energy efficient neural networks for big data analytics." In Proceedings Design, Automation and Test in Europe, Date. 2014.
Y Wang, T Tang, L Xia, B Li, P Gu, H Li, Y Xie, and H Yang. "Energy efficient RRAM spiking neural network for real time classification." In Proceedings of the Acm Great Lakes Symposium on Vlsi, Glsvlsi, 189-194. Vol. 20-22-May-2015. 2015.
T Tang, R Luo, B Li, H Li, Y Wang, and H Yang. "Energy efficient spiking neural network design with RRAM devices." In Proceedings of the 14th International Symposium on Integrated Circuits, Isic 2014, 268-271. 2015.
Q Zheng, J Kang, Z Wang, Y Cai, R Huang, B Li, Y Chen, and H Li. "Enhance the robustness to time dependent variability of ReRAM-based neuromorphic computing systems with regularization and 2R synapse." In Proceedings Ieee International Symposium on Circuits and Systems. Vol. 2019-May. 2019.
C Yang, H Li, Y Chen, and J Hu. "Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 145-150. Vol. 2020-January. 2020.
WH Chen, and Y Chen. "An ensemble approach to activity recognition based on binary sensor readings." In 2017 Ieee 19th International Conference on E Health Networking, Applications and Services, Healthcom 2017, 1-5. Vol. 2017-December. 2017.
S Li, E Hanson, X Qian, HH Li, and Y Chen. "ESCALATE: Boosting the efficiency of sparse CNN accelerator with kernel decomposition." In Proceedings of the Annual International Symposium on Microarchitecture, Micro, 992-1004. 2021.
R Liu, J Yang, Y Chen, and W Zhao. "ESLAM: An energy-efficient accelerator for real-time ORB-SLAM on FPGA platform." In Proceedings Design Automation Conference. 2019.
H Li, X Bi, and Z Sun. "The evolutionary spintronic technologies and their usage in high performance computing." In International System on Chip Conference, 350-355. Vol. 2016-February. 2016.
X Guo, Y Huang, HP Cheng, B Li, W Wen, S Ma, H Li, and Y Chen. "Exploration of Automatic Mixed-Precision Search for Deep Neural Networks." In Proceedings 2019 Ieee International Conference on Artificial Intelligence Circuits and Systems, Aicas 2019, 276-278. 2019.
M Mao, W Wen, Y Zhang, Y Chen, and H Li. "Exploration of GPGPU register file architecture using domain-wall-shift- write based racetrack memory." In Proceedings Design Automation Conference. 2014.
J Zhang, H Yang, F Chen, Y Wang, and H Li. "Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment." In Proceedings 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing, Emc2 Nips 2019, 1-5. 2019.
B Yan, F Chen, Y Zhang, C Song, H Li, and Y Chen. "Exploring the opportunity of implementing neuromorphic computing systems with spintronic devices." In Proceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, Date 2018, 109-112. Vol. 2018-January. 2018.
HP Cheng, W Wen, C Song, B Liu, H Li, and Y Chen. "Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss." In Proceedings of the 2016 Ieee/Acm International Symposium on Nanoscale Architectures, Nanoarch 2016, 185-190. 2016.
C Min, J Guo, H Li, and Y Chen. "Extending the lifetime of object-based NAND flash device with STT-RAM/DRAM hybrid buffer." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 764-769. 2017.
Z Xie, H Li, X Xu, J Hu, and Y Chen. "Fast IR Drop Estimation with Machine Learning : Invited Paper." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. Vol. 2020-November. 2020.
M Hu, H Li, and RE Pino. "Fast statistical model of TiO 2 thin-film memristor and design implication." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad, 345-352. 2011.
J Park, H Li, S Li, W Wen, Y Chen, PTP Tang, and P Dubey. "Faster cnns with direct sparse convolutions and guided pruning." In 5th International Conference on Learning Representations, Iclr 2017 Conference Track Proceedings. 2019.
J Park, H Li, S Li, W Wen, Y Chen, PTP Tang, and P Dubey. "Faster cnns with direct sparse convolutions and guided pruning." In 5th International Conference on Learning Representations, Iclr 2017 Conference Track Proceedings. 2017.
N Inkawhich, W Wen, HH Li, and Y Chen. "Feature space perturbations yield more transferable adversarial examples." In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 7059-7067. Vol. 2019-June. 2019.
M Tang, X Ning, Y Wang, J Sun, H Li, and Y Chen. "FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning." In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 10092-10101. Vol. 2022-June. 2022.
A Li, J Sun, X Zeng, M Zhang, H Li, and Y Chen. "FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking." In Sensys 2021 Proceedings of the 2021 19th Acm Conference on Embedded Networked Sensor Systems, 42-55. 2021.
J Sun, A Li, L Duan, S Alam, X Deng, X Guo, H Wang, M Gorlatova, M Zhang, H Li et al. "FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices." In Sensys 2022 Proceedings of the 20th Acm Conference on Embedded Networked Sensor Systems, 106-119. 2022.

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