Patents by Inventor Yu Rong

Yu Rong 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).

  • Publication number: 20230003835
    Abstract: Remote recovery of acoustic signals from passive sources is provided. Wideband radars, such as ultra-wideband (UWB) radars can detect minute surface displacements for vibrometry applications. Embodiments described herein remotely sense sound and recover acoustic signals from vibrating sources using radars. Early research in this domain only demonstrated single sound source recovery using narrowband millimeter wave radars in direct line-of-sight scenarios. Instead, by using wideband radars (e.g., X band UWB radars), multiple sources separated in ranges are observed and their signals isolated and recovered. Additionally, the see-through ability of microwave signals is leveraged to extend this technology to surveillance of targets obstructed by barriers. Blind surveillance is achieved by reconstructing audio from a passive object which is merely in proximity of the sound source using clever radar and audio processing techniques.
    Type: Application
    Filed: October 30, 2020
    Publication date: January 5, 2023
    Inventors: YU RONG, DANIEL W. BLISS, SHARANYA SRINIVAS, ADARSH VENKATARAMANI
  • Publication number: 20220415433
    Abstract: This disclosure provides a drug screening method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: determining a structural feature of a protein molecule and a structural feature of a target molecule; obtaining a concatenated node feature corresponding to the protein molecule and the target molecule based on a node information passing sub-network in a drug screening model, the structural feature of the protein molecule, and the structural feature of the target molecule, the node information passing sub-network being a graph neural network; and predicting a first predicted activity value after the protein molecule and the target molecule are bound according to the concatenated node feature.
    Type: Application
    Filed: August 31, 2022
    Publication date: December 29, 2022
    Applicant: Tencent Technology (Shenzhen) Company Limited
    Inventors: Tingyang XU, Jiying ZHANG, Fei YE, Yu RONG, Junzhou HUANG
  • Publication number: 20220142478
    Abstract: A precise cardiac data reconstruction method is provided, which may also be referred to herein as radar cardiography (RCG). RCG can reconstruct cardiac data, such as heart rate and/or electrocardiogram (ECG)-like heartbeat waveform signals wirelessly by using advanced radar signal processing techniques. For example, heartbeat and related characteristics can be monitored by isolating cardiovascular activity from strong respiratory interference in spatial spaces: azimuth and elevation. This results in significant improvements to pulse signal-to-noise-ratio (SNR) compared to conventional approaches, facilitating heart-rate variability (HRV) analysis.
    Type: Application
    Filed: March 19, 2020
    Publication date: May 12, 2022
    Inventors: Daniel W. Bliss, Yu Rong
  • Patent number: 11311202
    Abstract: The present disclosure relates to a heart rate monitoring method based on heartbeat harmonics. First, mixed data of a subject, which includes a fundamental respiration signal, respiration harmonics, a fundamental heartbeat signal, and heartbeat harmonics, is acquired by scanning a set of range bins. Range Doppler processing of the mixed data is performed to determine a range bin of interest. Data spectrum is then extracted based on a portion of the mixed data acquired at the range bin of interest. Next, the data spectrum is adaptively filtered to at least remove a spectrum peak of the fundamental respiration signal and a spectrum peak of the fundamental heartbeat signal mixed with a portion of respiration harmonics that are spectrally close to the fundamental heartbeat signal. Finally, the fundamental heartbeat signal is recovered based on a strongest heartbeat harmonic in the filtered data spectrum.
    Type: Grant
    Filed: November 14, 2018
    Date of Patent: April 26, 2022
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Daniel Bliss, Yu Rong
  • Patent number: 11293984
    Abstract: A detection circuit is electrically connected with a static transfer switch. The static transfer switch includes a silicon controlled rectifier. The detection circuit includes a high-pass filter, a low-pass filter, an absolute value circuit and a determination unit. After the high-pass filter filters off a low-frequency component of a terminal voltage between the first terminal and the second terminal of the static transfer switch, a first signal is generated. After a high-frequency component of the first signal is filtered off by the low-pass filter, a second signal is generated. The second signal is converted into an absolute value signal by the absolute value circuit. If no pulse signals are contained in the absolute value signal, the determination unit determines that the static transfer switch is in an abnormal on condition.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: April 5, 2022
    Assignee: DELTA ELECTRONICS, INC.
    Inventors: Jen-Chuan Liao, Yu-Rong Chen, Kuan-Tse Lin, Hung-Hsien Huang
  • Publication number: 20220044767
    Abstract: A compound property analysis method is provided. The method includes obtaining, according to a molecular structure of a compound, a feature vector of the compound, the feature vector including a node vector of each node and an edge vector of each edge, processing the feature vector by using a feature map extraction model branch to obtain a graph representation vector, and processing the graph representation vector by using a classification model branch to obtain a property of the compound. Thus, in the process of compound property analysis, the graph representation vector that can accurately represent a feature of the compound is obtained based on a graph data structure of the compound, and a classification property of the compound may be obtained based on the graph representation vector, thereby improving the accuracy of determining the classification property of the compound. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also provided.
    Type: Application
    Filed: October 25, 2021
    Publication date: February 10, 2022
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Yu RONG, Wenbing HUANG, Tingyang XU
  • Publication number: 20210353156
    Abstract: Methods, systems, and devices for direct radio frequency (RF) signal processing for heart rate (HR) monitoring using ultra-wide band (UWB) impulse radar are presented. A radar sensor is able to directly sample a received signal at RF which satisfies the Nyquist sampling rate, preserving a subject's vital sign information in the received signal. The vital sign information can be extracted directly from a raw RF signal and thus down conversion to a complex baseband is not required. The HR monitoring performance from the proposed direct RF signal processing technique provides an improvement in continuous HR monitoring as compared against existing methods using a complex baseband signal and/or other measurement techniques.
    Type: Application
    Filed: September 27, 2019
    Publication date: November 18, 2021
    Inventors: Yu Rong, Daniel W. Bliss
  • Publication number: 20210343445
    Abstract: The present disclosure provides organic-inorganic hybrid polymer particles, which have desirable surface chemistry and optical properties that make them particularly suitable for biological and optical applications. The present disclosure also provides methods of making organic-inorganic hybrid polymer particles. The present disclosure also provides methods of using the organic-inorganic hybrid polymer particles for biological and optical applications.
    Type: Application
    Filed: July 6, 2021
    Publication date: November 4, 2021
    Applicant: University of Washington
    Inventors: Daniel T. CHIU, Jiangbo YU, Yu RONG, Changfeng WU
  • Publication number: 20210318380
    Abstract: A detection circuit is electrically connected with a static transfer switch. The static transfer switch includes a silicon controlled rectifier. The detection circuit includes a high-pass filter, a low-pass filter, an absolute value circuit and a determination unit. After the high-pass filter filters off a low-frequency component of a terminal voltage between the first terminal and the second terminal of the static transfer switch, a first signal is generated. After a high-frequency component of the first signal is filtered off by the low-pass filter, a second signal is generated. The second signal is converted into an absolute value signal by the absolute value circuit. If no pulse signals are contained in the absolute value signal, the determination unit determines that the static transfer switch is in an abnormal on condition.
    Type: Application
    Filed: September 29, 2020
    Publication date: October 14, 2021
    Inventors: Jen-Chuan Liao, Yu-Rong Chen, Kuan-Tse Lin, Hung-Hsien Huang
  • Patent number: 11087900
    Abstract: The present disclosure provides organic-inorganic hybrid polymer particles, which have desirable surface chemistry and optical properties that make them particularly suitable for biological and optical applications. The present disclosure also provides methods of making organic-inorganic hybrid polymer particles. The present disclosure also provides methods of using the organic-inorganic hybrid polymer particles for biological and optical applications.
    Type: Grant
    Filed: June 12, 2020
    Date of Patent: August 10, 2021
    Assignee: University of Washington
    Inventors: Daniel T. Chiu, Jiangbo Yu, Yu Rong, Changfeng Wu
  • Publication number: 20210158904
    Abstract: A compound property prediction method is provided for an electronic device. The method includes obtaining chemical structure information of a target compound, the chemical structure information including an atom and a chemical bond, modeling a chemical structure graph according to the chemical structure information, the chemical structure graph including a first node corresponding to the atom and a first edge corresponding to the chemical bond, constructing an original node feature of the first node and an original edge feature of the first edge, performing a message propagation on the first edge according to the original node feature of the first node and the original edge feature of the first edge to obtain propagation state information of the first edge, and predicting properties of the target compound according to the propagation state information of the first edge.
    Type: Application
    Filed: February 4, 2021
    Publication date: May 27, 2021
    Inventors: Yu RONG, Wenbing HUANG, Tingyang XU
  • Publication number: 20210142108
    Abstract: The present disclosure describes methods, apparatus, and storage medium for node classification and training a node classification model. The method includes obtaining a target node subset and a neighbor node subset corresponding to the target node subset from a sample node set labeled with a target node class, a neighbor node in the neighbor node subset being associated with a target node in the target node subset; extracting a feature subset of the target node subset based on the neighbor node subset by using a node classification model, the feature subset comprising a feature vector of the target node; performing class prediction for the target node subset according to the feature subset, to obtain a predicted class probability subset; and training the node classification model with a target model parameter according to the predicted class probability subset and a target node class subset of the target node subset.
    Type: Application
    Filed: January 20, 2021
    Publication date: May 13, 2021
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Wenbing HUANG, Yu RONG, Junzhou HUANG
  • Patent number: 10983130
    Abstract: This disclosure provides semiconducting polymer dots (Pdots) for use in a wide variety of applications. In particular, this disclosure provides Pdots that are halogenated, including fluorinated Pdots. This disclosure also provides methods for synthesizing Pdots and methods for using Pdots, such as for biological imaging.
    Type: Grant
    Filed: July 11, 2014
    Date of Patent: April 20, 2021
    Assignee: University of Washington Through Its Center for Commercialization
    Inventors: Daniel Chiu, Yong Zhang, Jiangbo Yu, Yu Rong
  • Publication number: 20210043283
    Abstract: A method and an apparatus for identifying a heterogeneous graph and a property corresponding to a molecular space structure and a computer device are provided. The method includes: characterizing a topology structure included in a heterogeneous graph to generate feature information; generating feature vectors corresponding to key nodes on the topology structure included in the heterogeneous graph according to sampling information obtained by sampling the heterogeneous graph and the feature information; aggregating the feature vectors to generate a graph representation vector corresponding to the heterogeneous graph; and classifying the heterogeneous graph according to the graph representation vector to obtain a classification prediction result of the heterogeneous graph.
    Type: Application
    Filed: October 23, 2020
    Publication date: February 11, 2021
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Yu RONG, Yu He, Junzhou Huang
  • Publication number: 20200312481
    Abstract: The present disclosure provides organic-inorganic hybrid polymer particles, which have desirable surface chemistry and optical properties that make them particularly suitable for biological and optical applications. The present disclosure also provides methods of making organic-inorganic hybrid polymer particles. The present disclosure also provides methods of using the organic-inorganic hybrid polymer particles for biological and optical applications.
    Type: Application
    Filed: June 12, 2020
    Publication date: October 1, 2020
    Inventors: Daniel T. CHIU, Jiangbo YU, Yu RONG, Changfeng WU
  • Publication number: 20200297227
    Abstract: A vital sign monitoring system using an optical sensor is provided. The vital sign monitoring system, and related methods and devices described herein, is equipped with a camera or other optical sensor to remotely detect and measure one or more physiological parameters (e.g., vital signs) of a subject. For example, the vital sign monitoring system can detect, measure, and/or monitor heart rates and respiration rates from one or multiple subjects simultaneously using advanced signal processing techniques, including adaptive color beamforming to more accurately detect and measure the vital sign(s) of interest.
    Type: Application
    Filed: March 19, 2020
    Publication date: September 24, 2020
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Yu Rong, Daniel W. Bliss
  • Publication number: 20200302609
    Abstract: Detecting abnormalities in vital signs of subjects of videos is provided. Aspects of the present disclosure include methods, apparatuses, and systems to detect and measure vital sign information of one or more human subjects of a video and detect abnormalities in the vital sign information. In some examples, such abnormalities can be used to indicate video data is likely altered or fraudulent. In this regard, imaging photophlethysmography (IPPG) and advanced signal processing techniques, including adaptive color beamforming, can be used to extract the vital signs of the video subjects.
    Type: Application
    Filed: March 19, 2020
    Publication date: September 24, 2020
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Yu Rong, Daniel W. Bliss
  • Patent number: 10770197
    Abstract: The present disclosure provides organic-inorganic hybrid polymer particles, which have desirable surface chemistry and optical properties that make them particularly suitable for biological and optical applications. The present disclosure also provides methods of making organic-inorganic hybrid polymer particles. The present disclosure also provides methods of using the organic-inorganic hybrid polymer particles for biological and optical applications.
    Type: Grant
    Filed: June 13, 2017
    Date of Patent: September 8, 2020
    Assignee: University of Washington
    Inventors: Daniel T. Chiu, Jiangbo Yu, Yu Rong, Changfeng Wu
  • Patent number: 10677805
    Abstract: The invention relates to color-changing eye drops for early screening Alzheimer's disease and an application thereof. The color-changing eye drop for early screening Alzheimer's disease comprises 1 pg/ml to 10 ng/ml of A?42 aptamer-gold nanoparticles (AuNPs) and a pharmaceutically acceptable carrier or vehicle thereof, which can be used to mix with a tear sample of a test subject to analyze a color change of the color-changing eye drop for determining the concentration proportion of A?40:A?42 contained in the tear sample of the test subject.
    Type: Grant
    Filed: June 14, 2019
    Date of Patent: June 9, 2020
    Assignee: NATIONAL CHIAO TUNG UNIVERSITY
    Inventors: Jung-Chih Chen, I-Chiu Li, Kun-Che Li, Ching-Cheng Chuang, Mei-Lan Ko, Han-Chien Chuang, Ming-Hung Chien, Yu-Rong Wang, Hung-Ru Wang
  • Publication number: 20200005960
    Abstract: The present disclosure provides organic-inorganic hybrid polymer particles, which have desirable surface chemistry and optical properties that make them particularly suitable for biological and optical applications. The present disclosure also provides methods of making organic-inorganic hybrid polymer particles. The present disclosure also provides methods of using the organic-inorganic hybrid polymer particles for biological and optical applications.
    Type: Application
    Filed: June 13, 2017
    Publication date: January 2, 2020
    Inventors: Daniel T. CHIU, Jiangbo YU, Yu RONG, Changfeng WU