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公开(公告)号：US11979175B2
公开(公告)日：2024-05-07
申请号：US17941318
申请日：2022-09-09
发明人： Yoo Jin Choi , Mostafa El-Khamy , Jungwon Lee
CPC分类号： H03M7/6011 , G06N3/04 , G06N3/08 , H04L1/0003 , H04L1/0009 , H04N19/13 , H04N19/147 , H04N19/19
摘要： A method and apparatus for variable rate compression with a conditional autoencoder is herein provided. According to one embodiment, a method for compression includes receiving a first image and a first scheme as inputs for an autoencoder network; determining a first Lagrange multiplier based on the first scheme; and using the first image and the first Lagrange multiplier as inputs, computing a second image from the autoencoder network. The autoencoder network is trained using a plurality of Lagrange multipliers and a second image as training inputs.
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2.发明公开公开(公告)号：US20230237355A1
公开(公告)日：2023-07-27
申请号：US18125897
申请日：2023-03-24
发明人： Jongha Ryu , Yoo Jin Choi , Mostafa El-Khamy , Jungwon Lee
摘要： A method and system are herein disclosed. The method includes developing a joint latent variable model having a first variable, a second variable, and a joint latent variable representing common information between the first and second variables; generating a variational posterior of the joint latent variable model; training the variational posterior; performing inference of the first variable from the second variable based on the variational posterior, wherein performing the inference comprises conditionally generating the first variable from the second variable; and extracting common information between the first variable and the second variable, wherein extracting the common information comprises adding a regularization term to a loss function.
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公开(公告)号：US20220138633A1
公开(公告)日：2022-05-05
申请号：US17317421
申请日：2021-05-11
发明人： Yoo Jin Choi , Mostafa El-Khamy , Jungwon Lee
摘要： An electronic device and method for performing class-incremental learning are provided. The method includes designating a pre-trained first model for at least one past data class as a first teacher; training a second model; designating the trained second model as a second teacher; performing dual-teacher information distillation by maximizing mutual information at intermediate layers of the first teacher and second teacher; and transferring the information to a combined student model.
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公开(公告)号：US11270187B2
公开(公告)日：2022-03-08
申请号：US15914229
申请日：2018-03-07
发明人： Yoo Jin Choi , Mostafa El-Khamy , Jungwon Lee
摘要： A method is provided. The method includes selecting a neural network model, wherein the neural network model includes a plurality of layers, and wherein each of the plurality of layers includes weights and activations; modifying the neural network model by inserting a plurality of quantization layers within the neural network model; associating a cost function with the modified neural network model, wherein the cost function includes a first coefficient corresponding to a first regularization term, and wherein an initial value of the first coefficient is pre-defined; and training the modified neural network model to generate quantized weights for a layer by increasing the first coefficient until all weights are quantized and the first coefficient satisfies a pre-defined threshold, further including optimizing a weight scaling factor for the quantized weights and an activation scaling factor for quantized activations, and wherein the quantized weights are quantized using the optimized weight scaling factor.
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公开(公告)号：US10038532B1
公开(公告)日：2018-07-31
申请号：US15462665
申请日：2017-03-17
发明人： Yoo Jin Choi , Dongwoon Bai , Jungwon Lee , Sungyoon Cho , Heunchul Lee , Sungsoo Kim
IPC分类号： H04W4/00 , H04L5/00 , H04B17/345 , H04W72/06 , H04W52/24
摘要： A system and method for characterizing an interference demodulation reference signal (DMRS) in a piece of user equipment (UE), e.g., a mobile device. The UE determines whether the serving signal is transmitted in a DMRS-based transmission mode; if it is, the UE cancels the serving DMRS from the received signal; otherwise the UE cancels the serving data signal from the received signal. The remaining signal is then analyzed for the amount of power it has in each of four interference DMRS candidates, and hypothesis testing is performed to determine whether interference DMRS is present in the signal, and, if so, to determine the rank of the interference DMRS, and the port and scrambling identity of each of the interference DMRS layers.
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6.发明申请COMPUTING SYSTEM WITH CHANNEL ESTIMATION MECHANISM AND METHOD OF OPERATION THEREOF 有权具有信道估计机制的计算系统及其操作方法公开(公告)号：US20160080174A1
公开(公告)日：2016-03-17
申请号：US14553917
申请日：2014-11-25
发明人： Yoo Jin Choi , Jung Hyun Bae , Jungwon Lee , Inyup Kang
CPC分类号： H04L25/022 , H04L5/0051 , H04L25/021 , H04L27/2613 , H04L27/2647
摘要： A computing system includes: an inter-device interface configured to receive receiver signal for communicating serving content through a communication channel; a communication unit, coupled to the inter-device interface, configured to: calculate a weighting set corresponding to a modular estimation mechanism, and generate a channel estimate based on the weighting set for characterizing the communication channel for recovering the serving content.
摘要翻译： 计算系统包括：设备间接口，被配置为接收通过通信信道传送服务内容的接收机信号; 耦合到所述设备间接口的通信单元，被配置为：计算对应于模块化估计机制的加权集合，并且基于所述加权集合生成用于表征所述通信信道以恢复所述服务内容的信道估计。
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公开(公告)号：USD745885S1
公开(公告)日：2015-12-22
申请号：US29445912
申请日：2013-02-19
设计人： Jang Won Seo , Woo Seok Hwang , Hee Jeong Bae , Myung Kwan Choi , Yong Hwan Kwon , Yoo Jin Choi
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公开(公告)号：US11620555B2
公开(公告)日：2023-04-04
申请号：US16373913
申请日：2019-04-03
发明人： Jongha Ryu , Yoo Jin Choi , Mostafa El-Khamy , Jungwon Lee
摘要： A method and system are herein disclosed. The method includes developing a joint latent variable model having a first variable, a second variable, and a joint latent variable representing common information between the first and second variables, generating a variational posterior of the joint latent variable model, training the variational posterior, and performing inference of the first variable from the second variable based on the variational posterior.
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公开(公告)号：US11423312B2
公开(公告)日：2022-08-23
申请号：US16141035
申请日：2018-09-25
发明人： Yoo Jin Choi , Mostafa El-Khamy , Jungwon Lee
摘要： A method and system for constructing a convolutional neural network (CNN) model are herein disclosed. The method includes regularizing spatial domain weights, providing quantization of the spatial domain weights, pruning small or zero weights in a spatial domain, fine-tuning a quantization codebook, compressing a quantization output from the quantization codebook, and decompressing the spatial domain weights and using either sparse spatial domain convolution and sparse Winograd convolution after pruning Winograd-domain weights.
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公开(公告)号：US10959236B2
公开(公告)日：2021-03-23
申请号：US16030779
申请日：2018-07-09
发明人： Yoo Jin Choi , Dongwoon Bai , Jungwon Lee , Sungyoon Cho , Heunchul Lee , Sungsoo Kim
摘要： A system and method for characterizing an interference demodulation reference signal (DMRS) in a piece of user equipment (UE), e.g., a mobile device. The UE determines whether the serving signal is transmitted in a DMRS-based transmission mode; if it is, the UE cancels the serving DMRS from the received signal; otherwise the UE cancels the serving data signal from the received signal. The remaining signal is then analyzed for the amount of power it has in each of four interference DMRS candidates, and hypothesis testing is performed to determine whether interference DMRS is present in the signal, and, if so, to determine the rank of the interference DMRS, and the port and scrambling identity of each of the interference DMRS layers.
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