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Analog/mixed-signal hardware error modeling for deep learning inference AS Rekhi, B Zimmer, N Nedovic, N Liu, R Venkatesan, M Wang, ... Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 77 | 2019 |
Efficient neural network accelerator dataflows Y Shao, R Venkatesan, M Wang, D Smith, WJ Dally, J Emer, SW Keckler, ... US Patent 11,270,197, 2022 | 19 | 2022 |
Optimization of a dual-band wireless power and data telemetry system using genetic algorithm G Wang, X Li, M Wang, H Yuan, W Xu IEEE Design & Test 35 (3), 54-65, 2016 | 9 | 2016 |
Flexible low power CNN accelerator for edge computing with weight tuning M Wang, AP Chandrakasan 2019 IEEE Asian Solid-State Circuits Conference (A-SSCC), 209-212, 2019 | 7 | 2019 |
Efficient Neural Network Accelerator Dataflows Y Shao, R Venkatesan, M Wang, D Smith, WJ Dally, J Emer, SW Keckler, ... US Patent App. 17/530,852, 2022 | 3 | 2022 |
A Fully-Integrated Energy-Scalable Transformer Accelerator Supporting Adaptive Model Configuration and Word Elimination for Language Understanding on Edge Devices Z Ji, H Wang, M Wang, WS Khwa, MF Chang, S Han, AP Chandrakasan 2023 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2023 | 2 | 2023 |
VideoTime3: A 40-uJ/frame 38 FPS Video Understanding Accelerator With Real-Time DiffFrame Temporal Redundancy Reduction and Temporal Modeling M Wang, Y Lin, Z Zhang, J Lin, S Han, AP Chandrakasan IEEE Solid-State Circuits Letters 6, 169-172, 2023 | 1 | 2023 |
Optimization of coils in wireless telemetry systems using the Particle Swarm Optimization algorithm X Li, M Wang, G Wang 2015 8th International Conference on Biomedical Engineering and Informatics …, 2015 | 1 | 2015 |
Efficient Algorithms, Hardware Architectures and Circuits for Deep Learning Accelerators M Wang Massachusetts Institute of Technology, 2023 | | 2023 |