Patents by Inventor Xiaoyu Liu
Xiaoyu Liu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240119919Abstract: Embodiments of the present disclosure provide a method and a device for music play. The method comprises receiving a first operation instruction in a target application for playing music; in response to the first operation instruction, presenting a first interface of the target application, the first interface including an operation control for enhancing a play effect of the music through at least one processing, the processing being used for representing music content in a way more than sound; receiving a second operation instruction for the operation control; processing the music based on the second operation instruction during a process of playing the music.Type: ApplicationFiled: December 20, 2023Publication date: April 11, 2024Inventors: Mengfei Xie, Yufan Xue, Wei Hua, Xiaoyu Zhu, Dailong Chen, Jia Ding, Zoujie He, Jie Weng, Chaopeng Liu, Bowen Yang
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Publication number: 20240103327Abstract: Disclosed are a display substrate, a liquid crystal display panel (100) and a display device. The display substrate (9) includes: a base substrate (1), a plurality of sub-pixels arranged in an array on the base substrate, a plurality of data lines (D) extending in a first direction (X), a plurality of gate lines (G) extending in a second direction (Y), and a common electrode (2) arranged in a minimum area enclosed by the data lines and the gate lines; wherein the minimum area includes two sub-pixels, the common electrode includes a main electrode (21) with strip-shaped which is arranged at the junction of the two sub-pixels and a plurality of branch electrodes (22) with strip-shaped which are symmetrically distributed on two sides of the main electrode, and the extending directions of a part of the plurality of branch electrodes arranged on a same side of the main electrode are identical.Type: ApplicationFiled: April 27, 2021Publication date: March 28, 2024Inventors: Xiaoyu HUANG, Peng JIANG, Xiaoxiao CHEN, Yuanhui GUO, Xia SHI, Jiantao LIU
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Publication number: 20240103439Abstract: The present disclosure provides a method and system for optimizing first-diffraction-order reconstruction of holograms, a device and a medium, and relates to the field of image processing. The method includes: acquiring a target image; determining a target image light field according to the target image; calculating a target diffraction field for the target image light field by performing backward propagation by a set distance; constructing a U-Net network model; and inputting the target diffraction field into a trained U-Net network model to acquire an optimized hologram. The trained U-Net network model is obtained by constructing a U-Net network model and training and optimizing the U-Net network model, thereby continuously improving the quality of the zero-diffraction-order reconstructed image of the initial hologram and finally achieving the effect of optimizing the first-diffraction-order reconstructed image of the hologram.Type: ApplicationFiled: July 2, 2023Publication date: March 28, 2024Inventors: Xingpeng YAN, Xinlei LIU, Xiaoyu JIANG, Xi WANG, Tao JING, Cheng SONG, Junhui LIU
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Publication number: 20240098694Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may establish one or more wireless connections for different subscriptions with a base station. The UE may receive an indication of a temporary mobile subscription identifier (TMSI) from the base station during a registration procedure. The UE may calculate a paging occasion (PO) based on the TMSI and may determine the PO fails to satisfy a threshold timing value. The UE may transmit one or more registration request to trigger additional registration procedures in which base station may transmit a new TMSI. The UE may calculate an updated PO based on the new TMSI. The UE may periodically receive one or more paging messages from the base station in a set of POs based on calculating the updated PO.Type: ApplicationFiled: March 8, 2021Publication date: March 21, 2024Inventors: Ling XIE, Liang HONG, Cheol Hee PARK, Qingxin CHEN, Jun HU, Rishav REJ, Reza SHAHIDI, Zhenyu LIU, Xiaoyu LI
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Publication number: 20240096491Abstract: A computer readable storage medium is provided. When contents of the computer readable storage medium are executed by a processor, multi-photon imaging may be performed on a histopathological section containing tumor environment information, and pathological partitioning of a tumor microenvironment may be further performed through image processing. A value of each collagen feature parameters, such as a morphological feature parameter, an energy feature parameter and a texture feature parameter, may be extracted from a tumor tissue region, an invasive margin (IM) region and a normal tissue (N) region. An inter-region difference and a variation may be calculated according to feature parameters of regions. A collagen feature scoring model may be established. A collagen feature score may be calculated with the collagen feature parameters input to the model.Type: ApplicationFiled: November 15, 2022Publication date: March 21, 2024Inventors: Jun YAN, Shumin DONG, Botao YAN, Weisheng CHEN, Xiaoyu DONG, Xiumin LIU, Shuhan ZHAO, Jiaxin CHENG, Yanfeng DONG, Wei JIANG, Dexin CHEN, Guoxin LI
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Publication number: 20240095998Abstract: A virtual scene playback method is disclosed, which comprises: receiving a scene playback instruction and determining playback parameters according to the scene playback instruction, wherein the playback parameters include playback space and playback time; querying virtual space information and user model information corresponding to the playback parameters; and generating virtual scene playback content according to the virtual space information and the user model information. The present disclosure can save all the information in the virtual scene and play back the virtual scene corresponding to specific space and time. A virtual scene playback apparatus, an electronic device and a storage medium are also disclosed, which also have the above beneficial effects.Type: ApplicationFiled: October 7, 2021Publication date: March 21, 2024Applicant: GOERTEK INC.Inventors: Tao QIU, Xiangjun ZHANG, Tiecun WANG, Yingshu LIU, Tingchang LV, Kai WANG, Bin JIANG, Xiaoyu CHI
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Patent number: 11929058Abstract: Novel methods and systems for adapting a voice cloning synthesizer for a new speaker using real speech data are disclosed. Utterances from one or more target speakers are parameterized and are used to initialize an embedding vector for use with a voice synthesizer, by means of clustering the utterance data and determining the centroid of the data, using a speaker identification neural network, and/or by finding the closest stored embedded vector to the utterance data.Type: GrantFiled: August 18, 2020Date of Patent: March 12, 2024Assignee: DOLBY LABORATORIES LICENSING CORPORATIONInventors: Cong Zhou, Xiaoyu Liu, Michael Getty Horgan, Vivek Kumar
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Publication number: 20240037387Abstract: A power transformer fault diagnosis method based on a stacked time series network, includes: collecting gas-in-oil data of a transformer in each substation; performing z-score normalization on the collected data to obtain a normalized matrix; dividing the normalized matrix into a training set and a test set in proportion; constructing a stacked time series network based on Xgboost and a bidirectional gated neural network, and inputting the training set and the test set to perform network training; and normalizing real-time collected data to obtain trainable data to predict a fault and update network parameters. The gas-in-oil data is predicted by using Xgboost and a gated neural network, obtains prediction data of a power transformer from two time series networks by using a meta learner, and obtains a fault diagnosis result of the transformer by using a Softmax layer. The neural network has accurate fault diagnosis performance and stable robustness.Type: ApplicationFiled: December 1, 2022Publication date: February 1, 2024Applicants: WUHAN UNIVERSITY, State Grid Tianjin Electric Power CompanyInventors: Yigang HE, Zhikai XING, Xiao WANG, Xiaoyu LIU, Xue JIANG, Qingwu GONG, Jianfeng WANG, Shiqian MA
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Publication number: 20240005942Abstract: Described is a method of training a deep-learning-based system for sound source separation. The system comprises a separation stage for frame-wise extraction of representations of sound sources from a representation of an audio signal, and a clustering stage for generating, for each frame, a vector indicative of an assignment permutation of extracted frames of representations of sound sources to respective sound sources. The representation of the audio signal is a waveform-based representation. The separation stage is trained using frame-level permutation invariant training. Further, the clustering stage is trained to generate embedding vectors for the frames of the audio signal that allow to determine estimates of respective assignment permutations between extracted sound signals and labels of sound sources that had been used for the frames. Also described is a method of using the deep-learning-based system for sound source separation.Type: ApplicationFiled: October 13, 2021Publication date: January 4, 2024Applicants: Dolby Laboratories Licensing Corporation, DOLBY INTERNATIONAL ABInventors: Xiaoyu LIU, Jordi PONS PUIG
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Patent number: 11853898Abstract: A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.Type: GrantFiled: December 1, 2022Date of Patent: December 26, 2023Assignee: WUHAN UNIVERSITYInventors: Yigang He, Yingying Zhao, Zhikai Xing, Xiaoyu Liu, Xiao Wang
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Publication number: 20230394316Abstract: A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.Type: ApplicationFiled: December 1, 2022Publication date: December 7, 2023Applicant: WUHAN UNIVERSITYInventors: Yigang HE, Yingying ZHAO, Zhikai XING, Xiaoyu LIU, Xiao WANG
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Publication number: 20230393219Abstract: A method for diagnosing transformer fault based on a deep coupled dense convolutional neural network, includes: obtaining datasets of dissolved gas in oil of a transformer in normal and fault states; expanding the datasets by using an adaptive synthetic oversampling method; performing, in a form of a two-dimensional matrix, feature reconstruction on characteristic gas dissolved in the oil; building a transformer fault diagnosis model based on a deep coupled dense convolutional neural network; and dividing an expanded dataset into a training set and a test set, and taking the two-dimensional matrix as an input of the deep coupled dense convolutional neural network and a set label as an output to train the network to obtain a fault diagnosis model. The present disclosure can resolve a problem that a fault diagnosis accuracy rate of the transformer is low due to insufficient and unbalanced fault samples in the dissolved gas in the oil.Type: ApplicationFiled: November 29, 2022Publication date: December 7, 2023Applicants: WUHAN UNIVERSITY, State Grid Tianjin Electric Power CompanyInventors: Yigang HE, Zihao LI, Jianfeng WANG, Xiaoyu LIU, Shiqian MA, Qingwu GONG
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Patent number: 11826523Abstract: The present invention relates to a magnetic navigation-guided tear-away sheath for cardiac conduction bundle pacing, including a sheath body and a joint fixedly connected to a rear end of the sheath body. The sheath body includes a front flexible section and a rear fixed section, and the front flexible section is freely bendable. An outer surface near a head end of the front flexible section is provided with a plurality of pairs of half-ring magnets, two half-ring magnets in each pair of half-ring magnets are symmetrically disposed and form a ring, and a gap is kept between the two half-ring magnets. The head end of the front flexible section is provided with three electrodes uniformly disposed in a circumferential direction, and the three electrodes can be freely combined two by two, to form three electrode pairs used to record and position an intracardiac potential.Type: GrantFiled: September 1, 2020Date of Patent: November 28, 2023Assignee: Wuxi People's HospitalInventors: Changying Zhang, Shipeng Dang, Ruxing Wang, Kulin Li, Xiaoyu Liu, Jie Zheng
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Publication number: 20230368807Abstract: A system for suppressing noise and enhancing speech and a related method are disclosed. The system trains a neural network model that takes banded energies corresponding to an original noisy waveform and produces a speech value indicating the amount of speech present in each band at each frame. The neural model comprises a feature extraction block that implements some lookahead. The feature extraction block is followed by an encoder with steady down-sampling along the frequency domain forming a contracting path. The encoder is followed by a corresponding decoder with steady up-sampling along the frequency domain forming an expanding path. The decoder receives scaled output feature maps from the encoder at a corresponding level. The decoder is followed by a classification block that generates a speech value indicating an amount of speech present for each frequency band of the plurality of frequency bands at each frame of the plurality of frames.Type: ApplicationFiled: October 29, 2021Publication date: November 16, 2023Applicant: Dolby Laboratories Licensing CorporationInventors: Xiaoyu LIU, Michael Getty HORGAN, Roy M. FEJGIN, Paul HOLMBERG
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Publication number: 20230358325Abstract: A multi-port valve includes a valve housing and a valve core. The valve housing includes a plurality of ports arranged in a circumferential direction. All the ports are grouped into at least two port groups. Each of the port groups includes a main port and a plurality of sub-ports. The valve core is rotatably mounted to the valve housing and defines at least two flow channels. The multi-port valve has a plurality of work modes in response to the valve core rotated as regard to the valve housing to different positions. In different work modes, each of said at least two flow channels is configured to selectively communicate one of the main ports with one of the sub-ports.Type: ApplicationFiled: July 11, 2023Publication date: November 9, 2023Inventors: Anbang CHEN, Xiaoyu LIU, Guanyin LIANG, Ruifeng QIN
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Patent number: 11790912Abstract: A wake-up word for a digital assistant may be specified by a user to trigger the digital assistant to respond to the wake-up word, with the user providing one or more initial pronunciations of the wake-up word. The wake-up word may be unique, or at least not determined beforehand by a device manufacturer or developer of the digital assistant. The initial pronunciation(s) of the keyword may then be augmented with other potential pronunciations of the wake-up word that might be provided in the future, and those other potential pronunciations may then be pruned down to a threshold number of other potential pronunciations. One or more recordings of the initial pronunciation(s) of the wake-up may then be used to train a phoneme recognizer model to better recognize future instances of the wake-up word being spoken by the user or another person using the initial pronunciation or other potential pronunciations.Type: GrantFiled: January 3, 2022Date of Patent: October 17, 2023Assignee: Sony Interactive Entertainment Inc.Inventors: Lakshmish Kaushik, Zhenhao Ge, Xiaoyu Liu
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Publication number: 20230325663Abstract: A domain adaptation module is used to optimize a first domain derived from a second domain using respective outputs from respective parallel hidden layers of the domains.Type: ApplicationFiled: December 23, 2022Publication date: October 12, 2023Inventors: Ruxin Chen, Min-Hung Chen, Jaekwon Yoo, Xiaoyu Liu
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Publication number: 20230312527Abstract: A compound represented by structural formula (I) and a pharmaceutically acceptable salt thereof and a pharmaceutical composition comprising the compound or the pharmaceutically acceptable salt thereof, can be used for treating diseases such as obesity, hyperlipidemia, hypercholesterolemia, and diabetes and also for treating other diseases such as NASH, atherosclerosis, cardiovascular diseases, hypothyroidism, thyroid cancer and other related disorders and diseasesType: ApplicationFiled: August 18, 2021Publication date: October 5, 2023Inventors: Xiaoyu LIU, Niefang YU, Xin CHEN, Hao LI
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Publication number: 20230305824Abstract: A code adaptation mechanism automatically integrates the variable names of a pasted source code snippet into variable names defined in a pre-existing partial source code program. The variable names from the pasted source code snippet are replaced with anonymized values. A deep learning model predicts the most likely variable name from the pre-existing partial source code program to replace each anonymized value. The deep learning model is trained on numerous variable usage patterns from various source code programs to learn to predict the most likely mapping of an undefined variable name from the pasted source code snippet to a variable name in the pre-existing partial source code program thereby generating a syntactically and semantically correct program.Type: ApplicationFiled: March 24, 2022Publication date: September 28, 2023Inventors: MILTIADIS ALLAMANIS, SHENGYU FU, XIAOYU LIU, NEELAKANTAN SUNDARESAN, ALEXEY SVYATKOVSKIY
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Publication number: 20230281318Abstract: A constrained decoding technique incorporates token constraints into a beam search at each time step of a decoding process in order to generate viable candidate sequences that are syntactically and semantically correct. The token constraints identify source code tokens or sequences of tokens that should appear in a candidate sequence. The token constraints are generated from checking whether a token predicted at each decoding step is feasible for a partial solution based on the production rules of the grammar of the programming language, the syntactic correctness of a partial sequence, and/or static type correctness.Type: ApplicationFiled: March 7, 2022Publication date: September 7, 2023Inventors: COLIN BRUCE CLEMENT, SHAO KUN DENG, XIAOYU LIU, NEELAKANTAN SUNDARESAN, ALEXEY SVYATKOVSKIY