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Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers., , , , , , , , , and 6 other author(s). ISCAS, page 3319-3323. IEEE, (2022)Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited)., , , , , , , , , and 2 other author(s). ISCAS, page 1-5. IEEE, (2021)Neuromorphic devices and architectures for next-generation cognitive computing., , , , , , and . ISCAS, page 1-4. IEEE, (2017)Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)., , , , , , , , , and 13 other author(s). ISCAS, page 1-5. IEEE, (2023)NVM Weight Variation Impact on Analog Spiking Neural Network Chip., , , , , , , and . ICONIP (7), volume 11307 of Lecture Notes in Computer Science, page 676-685. Springer, (2018)A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS., , , , , , , , , and 6 other author(s). VLSI Technology and Circuits, page 1-2. IEEE, (2023)Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation., , , , , , , , and . ICONIP (3), volume 11955 of Lecture Notes in Computer Science, page 185-194. Springer, (2019)Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model., , , , , , , , , and . ICONIP (5), volume 1143 of Communications in Computer and Information Science, page 591-599. Springer, (2019)Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited)., , , , , , , , , and 15 other author(s). VLSI Technology and Circuits, page 1-2. IEEE, (2023)A low power CMOS circuit with Variable Souce Scheme (VSCMOS)., and . ASP-DAC, page 404-407. ACM, (2003)