Patents by Inventor Yusheng Xie

Yusheng Xie 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: 20210064957
    Abstract: Provided are a method and an apparatus for receiving a query including a sequence of words. The sequence of words is converted into a sequence of feature vectors. A semantic meaning of the sequence of words is generated using a bi-directional long-short term memory (LSTM). The LSTM is regularized using a Gaussian mixed model (GMM) based on the generated semantic meaning of the sequence of feature vectors.
    Type: Application
    Filed: September 4, 2019
    Publication date: March 4, 2021
    Applicant: TENCENT AMERICA LLC
    Inventors: Zeyu YOU, Tao YANG, Yusheng XIE, Shangqing ZHANG, Min TU, Wei FAN
  • Publication number: 20210059595
    Abstract: A method and user device for determining a unified Parkinson's disease rating scale (UPDRS) value associated with a user of the user device include obtaining video data associated with a movement of a body part of the user. The UPDRS value is determined using a model and the video data associated with the movement of the body part of the user. The UPDRS value is provided to permit an evaluation of the user based on the UPDRS value.
    Type: Application
    Filed: August 28, 2019
    Publication date: March 4, 2021
    Applicant: TENCENT AMERICA LLC
    Inventors: Lianyi HAN, Hui TANG, Yusheng XIE, Shih-Yao LIN, Qian ZHEN, Zhimin HUO, Wei FAN
  • Patent number: 10916050
    Abstract: A method of synthesizing an image of a hand using a blending generative adversarial network (BlendGAN) includes obtaining a synthetic 3-dimensional (3D) hand pose including a 3D model of a hand; obtaining a real background image; combining the synthetic 3D hand pose with the real background image to create a synthetic hand image; and blending the synthetic hand image using the BlendGAN to create a blended synthetic hand image.
    Type: Grant
    Filed: September 23, 2019
    Date of Patent: February 9, 2021
    Assignee: TENCENT AMERICA LLC
    Inventors: Shih-Yao Lin, Yusheng Xie, Hui Tang, Lianyi Han, Wei Fan
  • Publication number: 20200383625
    Abstract: A method and user device for providing a unified Parkinson's disease rating scale (UPDRS) value by a user device includes generating, by a sensor of the user device, sensor data based on a user of the user device manipulating the user device. The UPDRS value is determined based on the sensor data and a deep neural network (DNN) model. The UPDRS value is provided to permit an evaluation of the user based on the UPDRS value.
    Type: Application
    Filed: June 5, 2019
    Publication date: December 10, 2020
    Applicant: TENCENT AMERICA LLC
    Inventors: Lianyi HAN, Hui TANG, Yusheng XIE, Shih-Yao LIN, Qian Zhen, Zhimin HUO, Wei FAN
  • Publication number: 20200372117
    Abstract: A method and apparatus include receiving a first sentence including a first set of words, and a second sentence including a second set of words. A first set of vectors corresponding to the first set of words of the first sentence, and a second set of vectors corresponding to the second set of words of the second sentence are generated using a word embedding model. A similarity matrix based on the first set of vectors and the second set of vectors is generated. An alignment score associated with the first set of vectors and the second set of vectors is determined using the similarity matrix. The alignment score is transmitted to permit information retrieval based on a similarity between the first sentence and the second sentence.
    Type: Application
    Filed: May 24, 2019
    Publication date: November 26, 2020
    Applicant: TENCENT AMERICA LLC
    Inventors: Lianyi Han, Yaliang Li, Zhen Qian, Yusheng Xie, Yufan Xue, Tao Yang, Wei Fan
  • Publication number: 20200372668
    Abstract: A method and apparatus for generating augmented training data for hand pose estimation include receiving source data that is associated with a first lighting condition. Target data that is associated with a second lighting condition is received. A lighting condition translation between the first lighting condition and the second lighting condition is determined. Lighting translated data is generated based on the lighting condition translation and the source data. Augmented training data for hand pose estimation is generated based on the target data and the lighting translated data.
    Type: Application
    Filed: May 24, 2019
    Publication date: November 26, 2020
    Applicant: TENCENT AMERICA LLC
    Inventors: Shih-Yao Lin, Yusheng Xie, Kun Wang, Lianyi Han, Wei Fan
  • Publication number: 20200364853
    Abstract: Embodiments of the present disclosure include a method, device and computer readable medium involving receiving image data of one or more coronary arteries, generating a binary segmentation indicating presence of calcium in the one or more coronary arteries from the image data, generating a branch density of the one or more coronary arteries, and assigning a coronary artery label from the branch density to the binary segmentation such that at least one indication of presence of calcium of the binary segmentation is labeled as present in a specific one of the one or more coronary arteries.
    Type: Application
    Filed: May 16, 2019
    Publication date: November 19, 2020
    Applicant: TENCENT AMERICA LLC
    Inventors: Hui TANG, Tao Yang, Yusheng Xie, Yaliang Li, Qian Zhen, Wei Fan
  • Publication number: 20200357515
    Abstract: A method and apparatus include receiving, by a device, medical information associated with a user. Inquiry information is determined based on the medical information associated with the user and a reinforcement learning model. The inquiry information is provided to permit response information to be received. The response information is received based on providing the inquiry information. Diagnosis information is determined based on the medical information and the response information using a machine learning model. The diagnosis information is provided to a set of devices via a network.
    Type: Application
    Filed: May 10, 2019
    Publication date: November 12, 2020
    Applicant: TENCENT AMERICA LLC
    Inventors: Xiaozhong CHEN, Kun Wang, Nan Du, Min Tu, Shangqing Zhang, Yusheng Xie, Wei Fan
  • Publication number: 20200342056
    Abstract: A method for processing unstructured Chinese-language medical text includes identifying a medical entity in the unstructured Chinese-language medical text using an attention-based named-entity recognition (NER) model, structuring the identified medical entity using a multiple-dimensional entity understanding framework, normalizing the structured medical entity using a medical knowledge graph, and outputting the normalized medical entity.
    Type: Application
    Filed: April 26, 2019
    Publication date: October 29, 2020
    Applicant: TENCENT AMERICA LLC
    Inventors: Tao YANG, Min TU, Yaliang LI, Yusheng XIE, Shangqing ZHANG, Kun WANG, Nan DU, Wei FAN
  • Publication number: 20200327964
    Abstract: A method of medical data auto collection segmentation and analysis, includes collecting, from a plurality of sources, unstructured medical data in a plurality of formats, recognizing a medical name entity of each piece of the unstructured medical data, using a medical dictionary, and performing semantic text segmentation on each piece of the unstructured medical data so that each piece of the unstructured medical data is partitioned into groups sharing a same topic. The method further includes generating, as structured medical data, each piece of the unstructured medical data of which the medical name entity is recognized, each piece of the unstructured medical data being partitioned into the groups, and indexing the structured medical data into elastic search clusters.
    Type: Application
    Filed: April 10, 2019
    Publication date: October 15, 2020
    Applicant: TENCENT AMERICA LLC
    Inventors: Shangqing ZHANG, Min TU, Nan DU, Yusheng XIE, Yaliang LI, Tao YANG, Wei FAN
  • Publication number: 20200264969
    Abstract: A method and apparatus are provided that includes, in a same framework, storing an artificial intelligence (AI) model, loading the AI model into a serving platform, loading and testing a test unit against the AI model loaded into the serving platform, and collecting reports from results of storing the AI model, loading the AI model into the serving platform and testing the test unit.
    Type: Application
    Filed: February 15, 2019
    Publication date: August 20, 2020
    Applicant: Tencent America LLC
    Inventors: Min Tu, Shangqing Zhang, Tao Yang, Yaliang Li, Nan Du, Yusheng Xie, Wei Fan
  • Publication number: 20200265959
    Abstract: A method and apparatus are provided that includes iteratively sampling candidates from medical records and evaluating whether ones of the candidates better explain a member from the medical records. The iterations replace the member with the candidates and depending on whether the candidates better explain the member from the medical records may be weighted in a next iteration.
    Type: Application
    Filed: February 15, 2019
    Publication date: August 20, 2020
    Applicant: TENCENT AMERICA LLC
    Inventors: Yusheng XIE, Tao YANG, Min TU, Nan DU, Shih-Yao LIN, Wei FAN
  • Publication number: 20200229771
    Abstract: There is included an apparatus and system including an intra-heartbeat (HB) extraction code configured to extract intra-HB features from electrocardiography (ECG) signals, and an inter-HB extraction code configured to extract inter-HB features from the ECG signals, and at least one attention mechanism code configured to control at least one of the intra-HB extraction code and inter-HB extraction code based on at least one attention mechanism.
    Type: Application
    Filed: January 22, 2019
    Publication date: July 23, 2020
    Applicant: TENCENT AMERICA LLC
    Inventors: Kun WANG, Nan DU, Yusheng XIE, Min TU, Shangqing ZHANG, Yaliang LI, Tao YANG, Hui TANG, Lianyi HAN, Wei FAN
  • Patent number: 10650318
    Abstract: Systems and methods are disclosed for question generation to infer the most probable cause from the observable outcome and known Noisy-OR causal relations. In embodiments, the outcomes are sorted by indices according to an order including but not limited to the outcomes' natural frequency order, expert-labeled order, machine-learning derived order, etc. According to their assigned indices, in embodiments, observed outcomes with lower indices are assigned for exact inference while observed outcomes with higher indices are assigned for variational inference. In embodiments, results of exact inference and variational inference are combined to predict the most probable cause. The unique combination of exact inference and variational inference according to outcome indices makes the probable cause inferring process faster.
    Type: Grant
    Filed: July 20, 2016
    Date of Patent: May 12, 2020
    Assignee: Baidu USA LLC
    Inventors: Yusheng Xie, Nan Du, Jing Zhai, Weicheng Zhu, Dawen Zhou, Wei Fan
  • Patent number: 10521436
    Abstract: Presented are systems and methods that estimate the strength of a relationship between elements gathered from online and/or offline information sources by estimating the trustworthiness both of the gathered data and the information sources from which the data originates. In one exemplary application, the relatedness between co-occurring symptom and disease terms collected from information sources, such as health-related online databases, is iteratively evaluated based on the trustworthiness of symptom-disease pairings and the trustworthiness of the information sources themselves. In various embodiments of the present disclosure, an objective function is used to extract a knowledge base that aids in identifying a potential relationship between a set of given symptoms provided by a user of an online healthcare service and co-occurring disease terms, such that a likely disease may be inferred from the set of symptoms.
    Type: Grant
    Filed: July 11, 2016
    Date of Patent: December 31, 2019
    Assignee: Baidu USA LLC
    Inventors: Yaliang Li, Nan Du, Yusheng Xie, Wei Fan
  • Publication number: 20190262803
    Abstract: A monolithic catalyst used for a carbon dioxide hydrogenation reaction and a method for preparing the same. The catalyst comprises a carrier, a coating, and active components. The carrier is a honeycomb ceramic. The coating and the active components are separately applied to honeycomb ceramic hole walls from inside to outside. Moreover, each of the honeycomb ceramic holes is divided into an upper segment and a lower segment, and different active components are separately loaded on the two segments. The method for preparing the monolithic catalyst comprises first applying a coating to a honeycomb ceramic by means of impregnation to obtain a coating-containing carrier, and then applying active components to an upper segment and a lower segment of the coating-containing carrier successively by means of impregnation to obtain the monolithic catalyst.
    Type: Application
    Filed: March 21, 2017
    Publication date: August 29, 2019
    Inventors: Yang YU, Haibo CHEN, Shixin WEI, Yusheng YIN, Chunpeng MAO, Jiedong TAN, Dong QIU, Tianming XIE, Jian HE, Huiqin YIN, Xianguo TIAN, Tianlei DONG, Qiong WANG
  • Publication number: 20180025282
    Abstract: Systems and methods are disclosed for question generation to infer the most probable cause from the observable outcome and known Noisy-OR causal relations. In embodiments, the outcomes are sorted by indices according to an order including but not limited to the outcomes' natural frequency order, expert-labeled order, machine-learning derived order, etc. According to their assigned indices, in embodiments, observed outcomes with lower indices are assigned for exact inference while observed outcomes with higher indices are assigned for variational inference. In embodiments, results of exact inference and variational inference are combined to predict the most probable cause. The unique combination of exact inference and variational inference according to outcome indices makes the probable cause inferring process faster.
    Type: Application
    Filed: July 20, 2016
    Publication date: January 25, 2018
    Applicant: Baidu USA LLC
    Inventors: Yusheng Xie, Nan Du, Jing Zhai, Weicheng Zhu, Dawen Zhou, Wei Fan
  • Publication number: 20180011979
    Abstract: Systems and methods are disclosed for question generation to obtain more related medical information based on observed symptoms from a patient. In embodiments, possible diseases associated with the observed symptoms are generated by querying a knowledge graph. In embodiments, candidate symptoms associated with the possible diseases are also identified and are combined with the observed symptoms to obtain combined symptom sets. In embodiments, discriminative scores for the candidate symptom sets are determined and candidate symptoms with top discriminative scores are selected. In embodiments, these selected candidate symptoms may be checked for conflicts with observed symptoms and removed from further consideration if a conflict exists. In embodiments, one or more questions may be generated based on the remaining selected candidate systems to aid in collecting information about the patient. In embodiments, the process may be repeated with the updated observed symptoms.
    Type: Application
    Filed: July 11, 2016
    Publication date: January 11, 2018
    Applicant: Baidu USA LLC
    Inventors: Erheng Zhong, Chaochun Liu, Yusheng Xie, Nan Du, Hongliang Fei, Yi Zhen, Yu Cao, Richard Chun Ching Wang, Dawen Zhou, Wei Fan
  • Publication number: 20180011856
    Abstract: Presented are systems and methods that estimate the strength of a relationship between elements gathered from online and/or offline information sources by estimating the trustworthiness both of the gathered data and the information sources from which the data originates. In one exemplary application, the relatedness between co-occurring symptom and disease terms collected from information sources, such as health-related online databases, is iteratively evaluated based on the trustworthiness of symptom-disease pairings and the trustworthiness of the information sources themselves. In various embodiments of the present disclosure, an objective function is used to extract a knowledge base that aids in identifying a potential relationship between a set of given symptoms provided by a user of an online healthcare service and co-occurring disease terms, such that a likely disease may be inferred from the set of symptoms.
    Type: Application
    Filed: July 11, 2016
    Publication date: January 11, 2018
    Applicant: Baidu USA LLC
    Inventors: Yaliang Li, Nan Du, Yusheng Xie, Wei Fan
  • Patent number: 7494692
    Abstract: The present disclosure relates to an antioxidation coating for steel. In one example, the coating is produced by mixing magnesian mineral, layered silicate, metallurgical solid waste, aluminum powder, organic thickener and inorganic binder including the components of Al2O3, SiO2, MgO, CaO, Fe2O3 or the like with water, and the final coating density is adjusted to 1,100˜1,500 kg/m3 by adding water.
    Type: Grant
    Filed: April 3, 2008
    Date of Patent: February 24, 2009
    Assignees: Institute of Process Engineering, Chinese Academy of Science, Dalian Rino Environment Engineering Science and Technology Co., Ltd.
    Inventors: Shufeng Ye, Lianqi Wei, Yusheng Xie, Yunfa Chen, Jianping Qiu, Dejun Zou, Ze Zhang, Yingkun Zou