Search Results for author: Yan He

Found 8 papers, 1 papers with code

Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning

no code implementations9 Nov 2022 Yuanlong Li, Gaopan Huang, Min Zhou, Chuan Fu, Honglin Qiao, Yan He

Learning an explainable classifier often results in low accuracy model or ends up with a huge rule set, while learning a deep model is usually more capable of handling noisy data at scale, but with the cost of hard to explain the result and weak at generalization.

Magnetoelectric Bio-Implants Powered and Programmed by a Single Transmitter for Coordinated Multisite Stimulation

no code implementations31 Dec 2021 Zhanghao Yu, Joshua C. Chen, Yan He, Fatima T. Alrashdan, Benjamin W. Avants, Amanda Singer, Jacob T. Robinson, Kaiyuan Yang

This article presents a hardware platform including stimulating implants wirelessly powered and controlled by a shared transmitter (TX) for coordinated leadless multisite stimulation.

MagNI: A Magnetoelectrically Powered and Controlled Wireless Neurostimulating Implant

no code implementations7 Jul 2021 Zhanghao Yu, Joshua C. Chen, Fatima T. Alrashdan, Benjamin W. Avants, Yan He, Amanda Singer, Jacob T. Robinson, Kaiyuan Yang

This paper presents the first wireless and programmable neural stimulator leveraging magnetoelectric (ME) effects for power and data transfer.

CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference

no code implementations6 Jul 2021 Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang

A compact, accurate, and bitwidth-programmable in-memory computing (IMC) static random-access memory (SRAM) macro, named CAP-RAM, is presented for energy-efficient convolutional neural network (CNN) inference.

Local Optical Conductivity of Bilayer Graphene with Kink Potential

no code implementations11 Feb 2021 Zhen-Bing Dai, Zhiqiang Li, Yan He

We study the optical response of bilayer graphene with a kink potential composed of a domain wall separating two AB regions with opposite interlayer bias.

Mesoscale and Nanoscale Physics

Reconstruction Condition of Quantized Signals in Unlimited Sampling Framework

no code implementations29 Nov 2020 Yan He, Jifang Qiu, Chang Liu, Yue Liu, Jian Wu

The latest theoretical advances in the field of unlimited sampling framework (USF) show the potential to avoid clipping problems of analog-to-digital converters (ADC).

Quantization

Towards Class-incremental Object Detection with Nearest Mean of Exemplars

no code implementations19 Aug 2020 Sheng Ren, Yan He, Neal N. Xiong, Kehua Guo

For example, if the input images are of the same type, the current incremental model can learn new knowledge while not forgetting old knowledge.

Incremental Learning object-detection +1

Multi-Channel Deep Networks for Block-Based Image Compressive Sensing

1 code implementation28 Aug 2019 Siwang Zhou, Yan He, Yonghe Liu, Chengqing Li, Jianming Zhang

Specifically, with our multichannel structure, the image blocks with a variety of sampling rates can be reconstructed in a single model.

Blocking Compressive Sensing +2

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