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A Smart Hardware Security Engine Combining Entropy Sources of ECG, HRV and SRAM PUF for Authentication and Secret Key Generation., , , , , и . A-SSCC, стр. 145-148. IEEE, (2019)XNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks., , , и . IEEE J. Solid State Circuits, 55 (6): 1733-1743 (2020)Designing ECG-based physical unclonable function for security of wearable devices., , , и . EMBC, стр. 3509-3512. IEEE, (2017)Vesti: Energy-Efficient In-Memory Computing Accelerator for Deep Neural Networks., , , , , и . IEEE Trans. Very Large Scale Integr. Syst., 28 (1): 48-61 (2020)Energy-Efficient Circuit and Architecture Designs for Intelligent Systems.. Arizona State University, Tempe, USA, (2020)base-search.net (ftarizonastateun:item:62917).Vertical Channel-All-Around (CAA) IGZO FET under 50 nm CD with High Read Current of 32.8 μA/μm (Vth + 1 V), Well-performed Thermal Stability up to 120 ℃ for Low Latency, High-density 2T0C 3D DRAM Application., , , , , , , , , и 14 other автор(ы). VLSI Technology and Circuits, стр. 296-297. IEEE, (2022)FPGA-based Low-Batch Training Accelerator for Modern CNNs Featuring High Bandwidth Memory., , , , , , и . ICCAD, стр. 74:1-74:8. IEEE, (2020)Re-thinking polynomial optimization: Efficient programming of reconfigurable radio frequency (RF) systems by convexification., , , , , , и . ASP-DAC, стр. 545-550. IEEE, (2016)Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks., , , , , и . ICASSP, стр. 1393-1397. IEEE, (2019)Efficient and Modularized Training on FPGA for Real-time Applications., , , , , и . IJCAI, стр. 5237-5239. ijcai.org, (2020)Demo.