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RRAM Computing-in-Memory Using Transient Charge Transferring for Low-Power and Small-Latency AI Edge Inference.

, , , , , , , , , and . APCCAS, page 497-500. IEEE, (2022)

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PACA: A Pattern Pruning Algorithm and Channel-Fused High PE Utilization Accelerator for CNNs., , , , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (11): 5043-5056 (2022)Accuracy Optimization With the Framework of Non-Volatile Computing-In-Memory Systems., , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 69 (2): 518-529 (2022)CORAL: Coarse-grained reconfigurable architecture for Convolutional Neural Networks., , , , and . ISLPED, page 1-6. IEEE, (2017)High Area/Energy Efficiency RRAM CNN Accelerator with Pattern-Pruning-Based Weight Mapping Scheme., , , , , , , and . NVMSA, page 1-6. IEEE, (2021)Sparsity-Aware Non-Volatile Computing-In-Memory Macro with Analog Switch Array and Low-Resolution Current-Mode ADC., , , , , and . ASP-DAC, page 684-689. IEEE, (2022)RL Based Network Accelerator Compiler for Joint Compression Hyper-Parameter Search., , , , and . ISCAS, page 1-5. IEEE, (2020)A 2.75-to-75.9TOPS/W Computing-in-Memory NN Processor Supporting Set-Associate Block-Wise Zero Skipping and Ping-Pong CIM with Simultaneous Computation and Weight Updating., , , , , , , , , and 7 other author(s). ISSCC, page 238-240. IEEE, (2021)Performance-aware task scheduling for energy harvesting nonvolatile processors considering power switching overhead., , , , , , , , , and . DAC, page 156:1-156:6. ACM, (2016)Sticker: A 0.41-62.1 TOPS/W 8Bit Neural Network Processor with Multi-Sparsity Compatible Convolution Arrays and Online Tuning Acceleration for Fully Connected Layers., , , , , , , , , and 1 other author(s). VLSI Circuits, page 33-34. IEEE, (2018)A Sparse-Adaptive CNN Processor with Area/Performance balanced N-Way Set-Associate PE Arrays Assisted by a Collision-Aware Scheduler., , , , , , , , , and . A-SSCC, page 61-64. IEEE, (2019)