Search Results - "Lin, Yudeng"

Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis by Zhao, Han, Liu, Zhengwu, Tang, Jianshi, Gao, Bin, Qin, Qi, Li, Jiaming, Zhou, Ying, Yao, Peng, Xi, Yue, Lin, Yudeng, Qian, He, Wu, Huaqiang

“…Medical imaging is an important tool for accurate medical diagnosis, while state-of-the-art image reconstruction algorithms raise critical challenges in…”
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Versatile Molding Process for Tough Cellulose Hydrogel Materials by Kimura, Mutsumi, Shinohara, Yoshie, Takizawa, Junko, Ren, Sixiao, Sagisaka, Kento, Lin, Yudeng, Hattori, Yoshiyuki, Hinestroza, Juan P.

“…Shape-persistent and tough cellulose hydrogels were fabricated by a stepwise solvent exchange from a homogeneous ionic liquid solution of cellulose exposure to…”
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HnRNP K contributes to drug resistance in acute myeloid leukaemia through the regulation of autophagy by Zhang, JinFang, Liu, XiaoLi, Lin, YuDeng, Li, YuLing, Pan, JianWei, Zong, Sa, Li, YongKang, Zhou, Yang

“…Abstract The goal of this study was to explore the role of hnRNP K in drug resistance through the regulation of autophagy in acute myeloid leukaemia. First, we…”
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An On-chip Layer-wise Training Method for RRAM based Computing-in-memory Chips by Geng, Yiwen, Gao, Bin, Zhang, Qingtian, Zhang, Wenqiang, Yao, Peng, Xi, Yue, Lin, Yudeng, Chen, Junren, Tang, Jianshi, Wu, Huaqiang, Qian, He

“…RRAM-based computing-in-memory (CIM) chips have shown great potentials to accelerate deep neural networks on edge devices by reducing data transfer between the…”
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High-speed and High-efficiency Diverse Error Margin Write-Verify Scheme for an RRAM-based Neuromorphic Hardware Accelerator by Lin, Yudeng, Tang, Jianshi, Gao, Bin, Qin, Qi, Zhang, Qingtian, Qian, He, Wu, Huaqiang

“…Resistive random access memory (RRAM)-based neuromorphic hardware accelerators are attractive platforms for neural network acceleration due to their high…”
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BETTER: Bayesian-Based Training and Lightweight Transfer Architecture for Reliable and High-Speed Memristor Neural Network Deployment by Lin, Yudeng, Tang, Jianshi, Gao, Bin, Zhang, Qingtian, Qian, He, Wu, Huaqiang

“…Deep learning models implemented using memristors show high scalability and high energy efficiency, promising a compact and efficient computing architecture…”
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Multichannel parallel processing of neural signals in memristor arrays by Liu, Zhengwu, Tang, Jianshi, Gao, Bin, Li, Xinyi, Yao, Peng, Lin, Yudeng, Liu, Dingkun, Hong, Bo, Qian, He, Wu, Huaqiang

“…Fully implantable neural interfaces with massive recording channels bring the gospel to patients with motor or speech function loss. As the number of recording…”
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Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning by Lin, Yudeng, Zhang, Qingtian, Gao, Bin, Tang, Jianshi, Yao, Peng, Li, Chongxuan, Huang, Shiyu, Liu, Zhengwu, Zhou, Ying, Liu, Yuyi, Zhang, Wenqiang, Zhu, Jun, Qian, He, Wu, Huaqiang

“…Many advanced artificial intelligence tasks, such as policy optimization, decision making and autonomous navigation, demand high-bandwidth data transfer and…”
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Demonstration of Generative Adversarial Network by Intrinsic Random Noises of Analog RRAM Devices by Lin, Yudeng, Wu, Huaqiang, Gao, Bin, Yao, Peng, Wu, Wei, Zhang, Qingtian, Zhang, Xiang, Li, Xinyi, Li, Fuhai, Lu, Jiwu, Li, Gezi, Yu, Shimeng, Qian, He

“…For the first time, Generative Adversarial Network (GAN) is experimentally demonstrated on 1kb analog RRAM array. After online training, the network can…”
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Hybrid Precoding with a Fully-Parallel Large-Scale Analog RRAM Array for 5G/6G MIMO Communication System by Qin, Qi, Gao, Bin, Liu, Qi, Liu, Zhengwu, Lin, Yudeng, Yao, Peng, Zhou, Ying, Yu, Ruihua, Hao, Zhenqi, Tang, Jianshi, Zhang, Qingtian, Dai, Linglong, Su, Zhiqiang, Xu, Qingqing, You, Shujuan, Wu, Huaqiang, Qian, He

“…For the first time, an energy-efficient hybrid precoding with computing-in-memory technology for 5G/6G MIMO communication system is demonstrated. To meet the…”
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Bayesian Neural Network Realization by Exploiting Inherent Stochastic Characteristics of Analog RRAM by Lin, Yudeng, Hu, Xiaobo Sharon, Qian, He, Wu, Huaqiang, Zhang, Qingtian, Tang, Jianshi, Gao, Bin, Li, Chongxuan, Yao, Peng, Liu, Zhengwu, Zhu, Jun, Lu, Jiwu

“…For the first time, this paper develops a novel stochastic computing method by utilizing the inherent random noises of analog RRAM. With the designed analog…”
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Identifying relaxation and random telegraph noises in filamentary analog RRAM for neuromorphic computing by Hu, Qi, Gao, Bin, Tang, Jianshi, Hao, Zhenqi, Yao, Peng, Lin, Yudeng, Xi, Yue, Zhao, Meiran, Chen, Jiezhi, Qian, He, Wu, Huaqiang

“…The comprehensive investigation of relaxation effect remains difficult. For the first time, a characterization scheme is proposed and demonstrated to identify…”
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Intelligent Computing with RRAM by Yao, Peng, Zhang, Wenqiang, Zhao, Meiran, Lin, Yudeng, Wu, Wei, Gao, Bin, Qian, He, Wu, Huaqiang

“…RRAM-based in-memory-computing is a promising approach to go beyond von Neumann architecture and attributes to remarkable improvement in power efficiency and…”
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