Patents by Inventor Hui Xiong

Hui Xiong 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: 20220143684
    Abstract: The present disclosure belongs to the technical field of casting equipment, and provides a method and system for adjusting process parameters of a die-casting machine, and a storage medium. The method and the system can receive die wheel type, molten aluminum temperature, interruption time and defect information in real time, respond to the above information one by one according to a set response priority order, select die-casting process parameters, and automatically adjust different process parameters for different products and different working conditions, thereby realizing simultaneous control of multiple die-casting machines, replacing manual adjustment and improving product quality stability and production efficiency.
    Type: Application
    Filed: July 5, 2021
    Publication date: May 12, 2022
    Inventors: Yaqi Wu, Xiaobing Huang, Zhiguang Li, Hui Wang, Zuo Xu, Hanqi Wu, Zhihua Zhu, Guoyuan Xiong
  • Publication number: 20220130496
    Abstract: A method of training a prediction model for determining molecular binding force is provided, which relates to the field of artificial intelligence, in particular to a graph neural network in the field of deep learning. The method includes: constructing a virtual complex molecule based on a three-dimensional structure information of a first molecule and a second molecule; determining a predicted binding force and a predicted interaction matrix between the first molecule and the second molecule based on the virtual complex molecule by using the prediction model, the predicted interaction matrix indicating an element-type-based and distance-based interaction between an atom in the first molecule and an atom in the second molecule; and training the prediction model by minimizing a target loss function based on a difference between the predicted binding force and a real binding force and a difference between the predicted interaction matrix and a real interaction matrix.
    Type: Application
    Filed: January 7, 2022
    Publication date: April 28, 2022
    Inventors: Shuangli LI, Jingbo ZHOU, Tong XU, Liang HUANG, Fan WANG, Haoyi XIONG, Weili HUANG, Hui XIONG, Dejing DOU
  • Publication number: 20220130495
    Abstract: A method for determining correlation between a drug and a target, and an electronic device are provided. The method includes: establishing a spatial molecular graph of a candidate drug and the target, the spatial molecular graph including an atomic node set and an edge set, the atomic node set including atoms in the candidate drug and atoms in the target, the edge set including at least one atom connection edge; inputting a first atom feature of the atomic node set and the spatial molecular graph into a first GAT for prediction, to obtain a second atom feature of the atomic node set; and determining a parameter value of the correlation between the candidate drug and the target in accordance with the second atom feature of the atomic node set.
    Type: Application
    Filed: January 7, 2022
    Publication date: April 28, 2022
    Inventors: Shuangli LI, Jingbo ZHOU, Liang HUANG, Haoyi XIONG, Fan WANG, Tong XU, Hui XIONG, Dejing DOU
  • Patent number: 11313694
    Abstract: The present disclosure provides a method and an apparatus for recommending a travel way. The method includes: obtaining historical travel data; determining a plurality of correlations between respective travel ways according to the historical travel data; generating a vector corresponding to each travel way according to the plurality of correlations between respective travel ways; performing learning on an initial vector corresponding to each user and an initial vector corresponding to each starting-and-arrival pair according to the vector corresponding to each travel way and the historical travel data, to obtain a vector corresponding to each user and a vector corresponding to each starting-and-arrival pair; and recommending a travel way according to the vector corresponding to each travel way, the vector corresponding to each user and the vector corresponding to each starting-and-arrival pair.
    Type: Grant
    Filed: January 15, 2020
    Date of Patent: April 26, 2022
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Renjun Hu, Hao Liu, Hui Xiong, Ting Li, Yanjie Fu
  • Publication number: 20220113757
    Abstract: Apparatus, systems, and methods for intelligent tuning of overclocking frequency are disclosed. An example apparatus includes trial control circuitry to execute an optimization model to select first values for overclocking parameters of a processor, the first values associated with a first trial, and perform benchmark testing of the processor when the processor is operating based on the first values; trial evaluation circuitry to calculate a first score for the first trial based on the benchmark testing; and model updating circuitry to perform a comparison of the first score to a second score, the second score associated with a second trial for second values for the overclocking parameters, the second values different than the first values; and select one of the first values or the second values to overclock the processor based on the comparison.
    Type: Application
    Filed: December 21, 2021
    Publication date: April 14, 2022
    Inventors: Jin Yan, Hui Xiong, Jianfang Zhu, Felipe Gonzalez, Mark MacDonald, Daniel Ragland, Rodny Rodriguez, Matthew Fife, Yifan Li, Kristoffer Fleming
  • Publication number: 20220101199
    Abstract: A training method for a point-of-interest recommendation model and a method for recommending a point of interest are provided.
    Type: Application
    Filed: November 19, 2021
    Publication date: March 31, 2022
    Inventors: Hao LIU, Weijia ZHANG, Dejing DOU, Hui XIONG
  • Publication number: 20220082397
    Abstract: A method for recommending a station for a vehicle, a device, and a storage medium are provided. The method comprises: receiving, by a server, an access request from a vehicle; obtaining, based on the access request, a plurality of observation values from a plurality of stations associated with the vehicle, respectively, each observation value is based on a corresponding pre-trained recommendation model, each observation value includes factors associated with access of the vehicle to the station corresponding to the observation value; determining, an action value for the station based on the observation value and the pre-trained recommendation model for the station, the action value for the station indicates a matching degree between the access request and the station; determining a recommended station among the plurality of stations based on the action values of the plurality of stations; and sending to the vehicle an instruction of driving to the recommended station.
    Type: Application
    Filed: November 19, 2021
    Publication date: March 17, 2022
    Inventors: Weijia ZHANG, Hao LIU, Dejing DOU, Hui XIONG
  • Publication number: 20220082393
    Abstract: A travel recommendation method, an electronic device, and a storage medium are provided, which are related to artificial intelligence, and particularly relates to fields of depth learning, map navigation and the like. The specific implementation scheme includes: obtaining a travel recommendation model according to constraint conditions and prediction conditions, wherein the constraint conditions are used for characterizing travel fairness for different types of users travelling at different moments and in different regions, and the prediction conditions are used for characterizing at least two travel modes selected by the different types of users; and obtaining travel recommendation information according to a travel target and the travel recommendation model.
    Type: Application
    Filed: November 23, 2021
    Publication date: March 17, 2022
    Inventors: Hao LIU, Ding ZHOU, Tong XU, Hui XIONG
  • Publication number: 20220075808
    Abstract: A method for determining a competitive relation of Points of Interest (POI), and a device are provided in the present disclosure. The specific implementation includes: determining POI representation data between two target POIs based on service-related data of the target POIs; and determining a competitive relation between the target POIs based on the POI representation data.
    Type: Application
    Filed: September 21, 2021
    Publication date: March 10, 2022
    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong
  • Patent number: 11238381
    Abstract: Embodiments of the disclosure provide a method and an apparatus for talent-post matching, a device and a medium, which relates to the field of information matching and recruitment. The method includes: determining a resume feature representing a resume to be predicted according to a post submitted and the resume to be predicted; and predicting a matching degree between the resume to be predicted and the post by using a pre-trained predictive model according to a post feature of the post and the resume feature. With the method and the apparatus for talent-post matching, the device and the medium provided in embodiments of the present disclosure, the resume and the post may be matched automatically.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: February 1, 2022
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Chuan Qin, Chen Zhu, Tong Xu, Hengshu Zhu, Hui Xiong
  • Patent number: 11232116
    Abstract: A method, computer device and storage medium for mining a point of interest competitive relationship are disclosed. The method includes: for a first POI to be processed, obtaining a set of second POIs serving as mining objects of the first POI; for each second POI in the set, forming a POI pair with the second POI and the first POI, determining a relationship evaluation index of the POI pair according to user's search operations on a map for POIs, and judging whether the two POIs in the POI pair are in a competitive relationship according to the relationship evaluation index. The technical solution of the present disclosure may be applied to improve the accuracy of the processing results.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: January 25, 2022
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Jingbo Zhou, Jianguo Duan, Airong Jiang, Hui Xiong
  • Publication number: 20210389148
    Abstract: A cross-regional travel recommendation method and apparatus, an electronic device and a storage medium are provided, which relates to the fields of intelligent transportation and deep learning. A specific implementation solution is: acquiring a travel request of a user, the travel request comprising a start point and an end point which are located in different regions; extracting user features according to the travel request of the user; and recommending at least one travel plan to the user according to the user features and a pre-trained cross-regional travel recommendation model. The technical solutions can make up for the deficiency of the existing technology, provide a cross-regional travel plan recommendation under a large-space scale and a multimodal environment through a pre-trained cross-regional travel recommendation model and user features extracted based on a travel request of a user, and can satisfy a cross-regional travel request of the user, and is highly practical.
    Type: Application
    Filed: March 25, 2021
    Publication date: December 16, 2021
    Inventors: Hao Liu, Panpan Zhang, Jianguo Duan, Hui Xiong
  • Publication number: 20210390394
    Abstract: The present disclosure provides a method for generating a recommendation model, a content recommendation method, and a content recommendation apparatus, and an electronic device, and relates to an artificial intelligence field and a deep learning field. The method for generating a recommendation model includes: obtaining a graph training sample set; inputting the graph training sample set into a machine learning model to train the machine learning model, in which the machine learning model includes at least one low-rank graph convolutional network, and the low-rank graph convolutional network includes a complete weight matrix composed of a first low-rank matrix and a second low-rank matrix; in which a training objective of the low-rank graph convolutional network includes a first parameter item, a second parameter item and a non-convex low-rank item; and in responding to detecting that a training end condition is met, determining the machine learning model as a recommendation model.
    Type: Application
    Filed: February 9, 2021
    Publication date: December 16, 2021
    Inventors: Yaqing WANG, Hui XIONG
  • Publication number: 20210383802
    Abstract: A method and apparatus for generating a user intention understanding satisfaction evaluation model, a method and apparatus for evaluating a user intention understanding satisfaction, an electronic device and a storage medium are provided, relating to intelligent voice recognition and knowledge graphs.
    Type: Application
    Filed: January 22, 2021
    Publication date: December 9, 2021
    Inventors: Yanyan Li, Jianguo Duan, Hui Xiong
  • Publication number: 20210383279
    Abstract: Provided are an intelligent recommendation method and apparatus, a model training method and apparatus, an electronic device, and a storage medium, which relate to artificial intelligence technologies, and are applicable to the intelligent recommendation and the intelligent transportation technologies. The intelligent recommendation method includes: determining an object recommendation request; determining, according to a multi-agent strategy model and the object recommendation request, object execution actions of at least two agent objects matching the object recommendation request; determining a target object execution action according to the object execution actions; and recommending the object recommendation request to a target agent object corresponding to the target object execution action.
    Type: Application
    Filed: August 25, 2021
    Publication date: December 9, 2021
    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Weijia ZHANG, Hao LIU, Dejing DOU, Hui XIONG
  • Publication number: 20210356290
    Abstract: A method for recommending a point of interest (POI) includes: generating a user explicit feature based on a user profile of a user to be recommended; generating a POI explicit feature based on a POI profile of each candidate POI in a pre-constructed POI hierarchical structure; generating a historical interaction feature based on historical interaction behaviors of the user to be recommended to each candidate POI; determining a matrix of recommending values for each hierarchy based on at least one of the user explicit feature, the POI explicit feature and the historical interaction feature in combination with an association relationship between inter-hierarchy candidate POIs and/or intra-hierarchy candidate POIs in the POI hierarchical structure; and selecting at least one target POI from the candidate POIs of each hierarchy based on the matrix of recommending values for each hierarchy.
    Type: Application
    Filed: July 27, 2021
    Publication date: November 18, 2021
    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Jingbo ZHOU, Hui XIONG
  • Patent number: 11165064
    Abstract: Systems, methods, and compositions are disclosed for a Li-substituted layered-tunneled O3/spinel Na(NixFeyMnz)O2 cathode material, Na0.87Li0.25Ni0.4Fe0.2Mn0.4O2+? (LS-NFM) for enhanced sodium ion storage and cycling stability. The LS-NFM electrode is prepared by adjusting the stoichiometric ratio of the Na ion over the sum of Li and transition metal ions below 1. The Rietveld refinement of XRD data indicates that the cathode is composed of 94% layered and 6% spinel components. When cycled at a high current density of 100 mA g?1, LS-NFM cathode exhibited a first-cycle Coulombic efficiency of 88% and reversible discharge capacity of 107 mAh g?1 after 50 cycles with the capacity retention of 95%.
    Type: Grant
    Filed: October 7, 2019
    Date of Patent: November 2, 2021
    Assignee: Boise State University
    Inventors: Hui Xiong, Changjian Deng, Jing Xu
  • Publication number: 20210334278
    Abstract: A method and apparatus for mining a competition relationship between POIs. An embodiment of the method includes: acquiring a graphlet mining result obtained by mining map retrieval data of users which comprises attribute information of retrieved target POIs, the graphlet mining result comprising occurrence frequencies of respective preset situations, and a preset situation comprising: conforming to attribute information of POIs represented by a corresponding preset graphlet and a preset association relationship between attribute information of at least two POIs; for a first and second POI, determining an occurrence frequency of a preset situation corresponding to a preset graphlet where attribute information of the first and second POI co-occur, and generating a relationship feature of the first and second POI; and inputting the relationship feature into a pre-trained relationship prediction model to obtain a competition relationship prediction result of the first POI and the second POI.
    Type: Application
    Filed: December 2, 2020
    Publication date: October 28, 2021
    Inventors: Jingbo ZHOU, Hui XIONG
  • Publication number: 20210302185
    Abstract: Disclosed are training method and apparatus of a point-of-interest POI recommendation model and an electronic device, relating to the technical fields of artificial intelligence and big data. A specific implementation solution is as follows: when training and generating the POI recommendation model, it is precisely because it is considered that preference information of a user on a POI and a relationship between POIs at different levels will affect the accuracy of a POI recommendation, so when training and generating the POI recommendation model, the preference information of the user on the POI and the relationship between the POIs at different levels are obtained first, and the POI recommendation model is trained and generated according to the preference information of the user on the POI and the relationship between the POIs at different levels, thereby improving the accuracy of the POI recommendation model.
    Type: Application
    Filed: June 14, 2021
    Publication date: September 30, 2021
    Inventors: JINGBO ZHOU, HUI XIONG
  • Publication number: 20210254992
    Abstract: The present disclosure provides a method for optimizing a tag of a point of interest s(POI). The method includes: obtaining first portrait feature data of each POI in a plurality of POIs and second portrait feature data of each tag in a plurality of marked tags corresponding to the plurality of POIs; mapping the first portrait feature data of each POI and the second portrait feature data of each tag to a metric space to obtain a first feature vector of each POI and a second feature vector of each tag; and optimizing at least one marked tag corresponding to a target POI based on a vector similarity between a first feature vector of the target POI and a second feature vector of at least one tag. The present disclosure provides an apparatus for optimizing a tag of a POI, an electronic device and a computer readable medium.
    Type: Application
    Filed: September 29, 2020
    Publication date: August 19, 2021
    Inventors: Jingbo ZHOU, Renjun HU, Airong JIANG, Jianguo DUAN, Hui XIONG