Patents by Inventor Hung Le

Hung Le 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: 20250113739
    Abstract: A piezoelectric thin film having better FoM and piezoelectric strain constant, a manufacturing apparatus and manufacturing method, and a fatigue estimation system using the film; wherein, the piezoelectric thin film is made of (MgHf)xAl1-xN in which Mg and Hf are co-doped into the Al site of AlN, where x is 0.3 or more and 0.49 or less, and has a figure of merit (FoM) of 45 GPa or more and a piezoelectric strain constant (d33) of 18 pm/V or more. Multiple first pieces made of Mg and multiple second pieces made of Hf are on the surface of a target made of AlN wherein an average surface area of each first piece is 0.9 to 1.1 times an average surface area of each second piece with respect to a surface area of the target, and a piezoelectric thin film is grown on a substrate by magnetron sputtering.
    Type: Application
    Filed: December 28, 2021
    Publication date: April 3, 2025
    Applicant: TOHOKU UNIVERSITY
    Inventors: Hiroki KUWANO, Tadashi KATO, Van Minh LE, Hoang Hung NGUYEN, Riyo KONNO, Yosuke TAKAMAYA
  • Publication number: 20250104594
    Abstract: An electronic device includes a substrate, an electrical component, a signal line, a fan-out line and a switch. The substrate includes an active area and a peripheral area. The electrical component is disposed on the substrate and in the active area. The signal line is disposed on the substrate and in the active area, and the signal line is coupled to the electrical component. The fan-out line is disposed on the substrate and in the peripheral area. The switch is disposed area and the peripheral area, wherein the switch is coupled between the signal line and the fan-out line. The switch is controlled to transmit a signal from the fan-out line to the signal line during the switch is turned on, and the electrical component is operated in different refreshing frequencies according to the signal.
    Type: Application
    Filed: December 10, 2024
    Publication date: March 27, 2025
    Inventors: Shuo-Ting HONG, Chung-Le CHEN, Hung-Kun CHEN
  • Publication number: 20250103300
    Abstract: The embodiments are directed to generating source code for a program from a problem description. One or more pre-trained code large language models (LLMs) generate sub-modules from a problem description in a natural language. The sub-modules are filtered based on testing criteria and encoded into sub-module encodings in an embedding space. The sub-module encodings are clustered into multiple clusters. A subset of sub-modules encoding that are close to the centroids of the clusters are selected. The sub-set of sub-modules is decoded into representative sub-modules. The problem description is augmented with the representative sub-modules and fed into one or more pre-trained code LLMs and new sub-modules are generated. The iterations continue until a program is generated from the representative sub-modules.
    Type: Application
    Filed: January 26, 2024
    Publication date: March 27, 2025
    Inventors: Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Rayhan Joty
  • Publication number: 20240289606
    Abstract: Embodiments described herein provide a mixture of encoder-decoder Transformer framework for multi-task pretraining and flexible finetuning for both code understanding and generation tasks. Specifically, the framework is built on multimodal encoder and decoder modules. During pre-training, the encoder-decoder framework is trained with multiple learning objectives, including a diverse set of self-supervised tasks over two major stages of pretraining on unimodal and bimodal data.
    Type: Application
    Filed: February 24, 2023
    Publication date: August 29, 2024
    Inventors: Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Junnan Li, Chu Hong Hoi
  • Publication number: 20240125259
    Abstract: A broadband resonator for a fuel cell compressor is disclosed. The resonator having a resonator insert having a tubular pipe surrounded by a plurality of disc-shaped walls separating the resonator insert receiving chamber into one or more individual resonator chambers. The tubular pipe is positioned eccentrically within a resonator insert receiving chamber. An entrained water removal system is formed in the resonator, preventing entrained water from accumulating in the resonator chambers which would result in an undesirable detuning of the designed amplitude frequency spectrum response.
    Type: Application
    Filed: October 12, 2022
    Publication date: April 18, 2024
    Inventors: Hung LE, Eric GALLAGHER, Hoa LE
  • Patent number: 11946398
    Abstract: A broadband resonator for a fuel cell compressor is disclosed. The resonator having a resonator insert having a tubular pipe surrounded by a plurality of disc-shaped walls separating the resonator insert receiving chamber into one or more individual resonator chambers. The tubular pipe is positioned eccentrically within a resonator insert receiving chamber. An entrained water removal system is formed in the resonator, preventing entrained water from accumulating in the resonator chambers which would result in an undesirable detuning of the designed amplitude frequency spectrum response.
    Type: Grant
    Filed: October 12, 2022
    Date of Patent: April 2, 2024
    Assignee: MANN+HUMMEL GmbH
    Inventors: Hung Le, Eric Gallagher, Hoa Le
  • Publication number: 20230376840
    Abstract: Embodiments described herein provide a reinforcement learning based framework engaging pretrained language models (LMs) for program synthesis tasks. Specifically, the framework adopts a training strategy that optimizes pretrained LMs for program synthesis tasks in an actor-critic approach.
    Type: Application
    Filed: August 26, 2022
    Publication date: November 23, 2023
    Inventors: Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Chu Hong Hoi
  • Publication number: 20230376841
    Abstract: Embodiments described herein provide a reinforcement learning based framework engaging pretrained language models (LMs) for program synthesis tasks. Specifically, the framework adopts a training strategy that optimizes pretrained LMs for program synthesis tasks in an actor-critic approach.
    Type: Application
    Filed: August 26, 2022
    Publication date: November 23, 2023
    Inventors: Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Chu Hong Hoi
  • Patent number: 11568000
    Abstract: A method for dialog state tracking includes decoding, by a fertility decoder, encoded dialog information associated with a dialog to generate fertilities for generating dialog states of the dialog. Each dialog state includes one or more domains. Each domain includes one or more slots. Each slot includes one or more slot tokens. The method further includes generating an input sequence to a state decoder based on the fertilities. A total number of each slot token in the input sequence is based on a corresponding fertility. The method further includes encoding, by a state encoder, the input sequence to the state decoder, and decoding, by the state decoder, the encoded input sequence to generate a complete sequence of the dialog states.
    Type: Grant
    Filed: January 7, 2020
    Date of Patent: January 31, 2023
    Assignee: SALESFORCE.COM, INC.
    Inventors: Hung Le, Chu Hong Hoi
  • Patent number: 11487999
    Abstract: A system and method for generating a response in a video grounded dialogue are provided. A video-grounded dialogue neural network language model receives video input and text input. The text input includes a dialogue history between the model and a human user and a current utterance by the user. Encoded video input is generated using video encoding layers. Encoded text input is generated using text encoding layers. The encoded video input and the encoded text input are concatenated in to a single input sequence. A generative pre-trained transformer model generates the response to the current utterance from the singe input sequence.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: November 1, 2022
    Assignee: Salesforce.com, Inc.
    Inventors: Hung Le, Chu Hong Hoi
  • Patent number: 11387403
    Abstract: A piezoelectric bimorph cantilever beam system includes a shim having a first main surface, a second main surface opposite the first main surface, a proximal end connected to an anchor, and a distal end opposite the proximal end. The system further includes a first piezoelectric layer laminated on the first main surface of the shim and a second piezoelectric layer laminated on the second main surface of the shim. A first beam stiffener is provided over the first main surface of the shim adjacent to the anchor with the first beam stiffener at least partially covering the first piezoelectric layer. A second beam stiffener is provided over the second main surface of the shim adjacent to the anchor with the second beam stiffener at least partially covering the second piezoelectric layer.
    Type: Grant
    Filed: July 5, 2018
    Date of Patent: July 12, 2022
    Assignees: VERMON S.A., UNIVERSITE GRENOBLE ALPES
    Inventors: Libor Rufer, Skandar Basrour, Emilie Trioux, Guillaume Férin, Claire Bantignies, Hung Le Khanh, Bogdan Rosinski, An Nguyen-Dinh
  • Patent number: 11288438
    Abstract: Systems and methods are provided for performing a video-grounded dialogue task by a neural network model using bi-directional spatial-temporal reasoning. According to some embodiments, the systems and methods implement a dual network architecture or framework. This framework includes one network or reasoning module that learns dependencies between text and video in the direction of spatial?temporal, and another network or reasoning module that learns in the direction of temporal?spatial. The output of the multimodal reasoning modules may be combined to learn dependencies between language features in dialogues. The result joint representation is used as a contextual feature to the decoding components which allow the model to semantically generate meaningful responses to the users. In some embodiments, pointer networks are extended to the video-grounded dialogue task to allow the model to point to specific tokens from multiple source sequences to generate responses.
    Type: Grant
    Filed: February 4, 2020
    Date of Patent: March 29, 2022
    Assignee: salesforce.com, inc.
    Inventors: Hung Le, Chu Hong Hoi
  • Publication number: 20210174162
    Abstract: A system and method for generating a response in a video grounded dialogue are provided. A video-grounded dialogue neural network language model receives video input and text input. The text input includes a dialogue history between the model and a human user and a current utterance by the user. Encoded video input is generated using video encoding layers. Encoded text input is generated using text encoding layers. The encoded video input and the encoded text input are concatenated in to a single input sequence. A generative pre-trained transformer model generates the response to the current utterance from the singe input sequence.
    Type: Application
    Filed: April 28, 2020
    Publication date: June 10, 2021
    Inventors: Hung LE, Chu Hong HOI
  • Publication number: 20210150118
    Abstract: Systems and methods are provided for performing a video-grounded dialogue task by a neural network model using bi-directional spatial-temporal reasoning. According to some embodiments, the systems and methods implement a dual network architecture or framework. This framework includes one network or reasoning module that learns dependencies between text and video in the direction of spatial?temporal, and another network or reasoning module that learns in the direction of temporal?spatial. The output of the multimodal reasoning modules may be combined to learn dependencies between language features in dialogues. The result joint representation is used as a contextual feature to the decoding components which allow the model to semantically generate meaningful responses to the users. In some embodiments, pointer networks are extended to the video-grounded dialogue task to allow the model to point to specific tokens from multiple source sequences to generate responses.
    Type: Application
    Filed: February 4, 2020
    Publication date: May 20, 2021
    Inventors: Hung LE, Chu Hong HOI
  • Publication number: 20210089588
    Abstract: A method for dialog state tracking includes decoding, by a fertility decoder, encoded dialog information associated with a dialog to generate fertilities for generating dialog states of the dialog. Each dialog state includes one or more domains. Each domain includes one or more slots. Each slot includes one or more slot tokens. The method further includes generating an input sequence to a state decoder based on the fertilities. A total number of each slot token in the input sequence is based on a corresponding fertility. The method further includes encoding, by a state encoder, the input sequence to the state decoder, and decoding, by the state decoder, the encoded input sequence to generate a complete sequence of the dialog states.
    Type: Application
    Filed: January 7, 2020
    Publication date: March 25, 2021
    Inventors: Hung LE, Chu Hong HOI
  • Patent number: 10949205
    Abstract: A computer system includes a dispatch routing network to dispatch a plurality of instructions, and a processor in signal communication with the dispatch routing network. The processor determines a move instruction from the plurality of instructions to move data produced by an older second instruction, and copies a splice target file (STF) tag from a source register of the move instruction to a destination register of the move instruction without physically copying data in a slice target register and without assigning a new STF tag destination to the move instruction.
    Type: Grant
    Filed: December 20, 2018
    Date of Patent: March 16, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Joshua Bowman, Dung Q. Nguyen, Hung Le, Brian Thompto, Maureen A. Delaney, Cliff Kucharski, Steven J Battle
  • Patent number: 10901743
    Abstract: Systems, methods, and computer-readable media are described for performing speculative execution of both paths/branches of a weakly predicted branch instruction. A branch instruction may be fetched from an instruction queue and determined to be a weakly predicted branch instruction, in which case, both paths of the branch instruction may be dispatched and speculatively executed. When the actual path taken becomes known, instructions corresponding to the path not taken may be flushed. Instructions from both paths of a weakly predicted branch instruction that are speculatively executed may be dispatch and executed in an interleaved manner.
    Type: Grant
    Filed: July 19, 2018
    Date of Patent: January 26, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Kenneth L. Ward, Dung Q. Nguyen, Susan E. Eisen, Hung Le
  • Patent number: 10761856
    Abstract: Systems, methods, and computer-readable media are described for performing instruction execution using an instruction completion table (ICT) that is configured to accommodate shared ICT entries. A shared ICT entry maps to multiple instructions such as, for example, two instructions. Each shared ICT entry may be referenced by an even instruction tag (ITAG) and an odd ITAG that correspond to respective instructions that have been grouped together in the shared ICT entry. The instructions corresponding to a given shared ICT entry can be executed and finished independently of one another. A shared ICT entry is completed when each execution of each instruction corresponding to the shared ICT entry has finished and when all prior ICT entries have completed. Also described herein are system, methods, and computer-readable media for flushing instructions in shared ICT entries in response to execution of a branch instruction.
    Type: Grant
    Filed: July 19, 2018
    Date of Patent: September 1, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Kenneth L. Ward, Dung Q. Nguyen, Hung Le, Susan E. Eisen
  • Publication number: 20200220067
    Abstract: A piezoelectric bimorph cantilever beam system includes a shim having a first main surface, a second main surface opposite the first main surface, a proximal end connected to an anchor, and a distal end opposite the proximal end. The system further includes a first piezoelectric layer laminated on the first main surface of the shim and a second piezoelectric layer laminated on the second main surface of the shim. A first beam stiffener is provided over the first main surface of the shim adjacent to the anchor with the first beam stiffener at least partially covering the first piezoelectric layer. A second beam stiffener is provided over the second main surface of the shim adjacent to the anchor with the second beam stiffener at least partially covering the second piezoelectric layer.
    Type: Application
    Filed: July 5, 2018
    Publication date: July 9, 2020
    Inventors: Libor RUFER, Skandar BASROUR, Emilie TRIOUX, Guillaume FÉRIN, Claire BANTIGNIES, Hung LE KHANH, Bogdan ROSINSKI, An NGUYEN-DINH
  • Publication number: 20200201639
    Abstract: A computer system includes a dispatch routing network to dispatch a plurality of instructions, and a processor in signal communication with the dispatch routing network. The processor determines a move instruction from the plurality of instructions to move data produced by an older second instruction, and copies a splice target file (STF) tag from a source register of the move instruction to a destination register of the move instruction without physically copying data in a slice target register and without assigning a new STF tag destination to the move instruction.
    Type: Application
    Filed: December 20, 2018
    Publication date: June 25, 2020
    Inventors: Joshua Bowman, Dung Q. Nguyen, Hung Le, Brian Thompto, Maureen A. Delaney, Cliff Kucharski, Steven J Battle