169 citations · 368 across the 10 of their papers we have counts for
10 papers
A wearable sensor vest for social humanoid robots with GPGPU, IoT, and modular software architecture
Mohsen Jafarzadeh, Stephen Brooks, Shimeng Yu +2
Currently, most social robots interact with their surroundings and humans through sensors that are integral parts of the robots, which limits the usability of the sensors, human-ro…
Antiferroelectric negative capacitance from a structural phase transition in zirconia
Michael Hoffmann, Zheng Wang, Nujhat Tasneem +20
Crystalline materials with broken inversion symmetry can exhibit a spontaneous electric polarization, which originates from a microscopic electric dipole moment. Long-range polar o…
Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune
Shanshi Huang, Hongwu Jiang, Shimeng Yu
Compute-in-memory (CIM) has been proposed to accelerate the convolution neural network (CNN) computation by implementing parallel multiply and accumulation in analog domain. Howeve…
SMART Paths for Latency Reduction in ReRAM Processing-In-Memory Architecture for CNN Inference
Sho Ko, Shimeng Yu
This research work proposes a design of an analog ReRAM-based PIM (processing-in-memory) architecture for fast and efficient CNN (convolutional neural network) inference. For the o…
New Security Challenges on Machine Learning Inference Engine: Chip Cloning and Model Reverse Engineering
Shanshi Huang, Xiaochen Peng, Hongwu Jiang +2
Machine learning inference engine is of great interest to smart edge computing. Compute-in-memory (CIM) architecture has shown significant improvements in throughput and energy eff…
DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-chip Training
Xiaochen Peng, Shanshi Huang, Hongwu Jiang +2
DNN+NeuroSim is an integrated framework to benchmark compute-in-memory (CIM) accelerators for deep neural networks, with hierarchical design options from device-level, to circuit-l…