Patents by Inventor Kaibo LIU

Kaibo 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).

  • Publication number: 20240106042
    Abstract: The present application relates to the field of battery technologies, for example, to a battery, a battery module, and a battery pack. The battery includes a housing, a terminal pole column, and an upper plastic member. A first through hole is defined on a top cover of the housing. The terminal pole column passes through the first through hole. The upper plastic member is disposed above the top cover of the housing. The terminal pole column is capable of passing through the upper plastic member and bending outward to form a flange, and the terminal pole column abuts against the upper plastic member, and an upper top surface of the terminal pole column and an upper top surface of the upper plastic member are flush with each other.
    Type: Application
    Filed: October 26, 2022
    Publication date: March 28, 2024
    Applicants: EVE POWER CO., LTD., HUIZHOU EVE POWER CO., LTD
    Inventors: Di Wu, Kaibo Li, Feng Chen, Wei He, Jincheng Liu
  • Publication number: 20220269951
    Abstract: A messenger RNA (mRNA) vaccine has emerged as a promising direction to combat the COVID-19 pandemic. This requires an mRNA sequence that is stable and highly productive in protein expression, features to benefit from greater mRNA secondary structure folding stability and optimal codon usage. Sequence design remains challenging due to the exponentially many synonymous mRNA sequences encoding the same protein. The present disclosure presents embodiments of a linear-time approximation (LinearDesign) reducing the design to an intersection between a Stochastic Context Free Grammar (SCFG) and a Deterministic Finite Automaton (DFA). Embodiments of the LinearDesign may implement an mRNA sequence design using much reduced time with very limited loss. Various methodologies, e.g., finding alternative sequences based on k-best parsing or directly incorporating codon optimality, are presented for incorporating the codon optimality into the design.
    Type: Application
    Filed: February 24, 2021
    Publication date: August 25, 2022
    Applicant: Baidu USA LLC
    Inventors: He ZHANG, Liang ZHANG, Ziyu LI, Kaibo LIU, Boxiang LIU, Liang HUANG
  • Publication number: 20220108773
    Abstract: COVID-19 has become a global pandemic after its inception in late 2019. SARS-CoV-2 genomes are sequenced and shared on public repositories at a fast pace. To keep up with these updates, datasets need to be refreshed and re-cleaned frequently. It may be difficult to analyze SARS-CoV-2 genomes for scientists with limited bioinformatics or programming knowledge. In the present disclosure, system and method embodiments for genome analysis and visualization are developed to address these challenges. A webserver may be used to enable simple and rapid analysis of genomes. Given a new sequence, the system may automatically predict gene boundaries and identify genetic variants, which are presented in an interactive genome visualizer and are downloadable for analysis. A command-line interface may be available for high throughput processing.
    Type: Application
    Filed: October 7, 2020
    Publication date: April 7, 2022
    Applicant: Baidu USA LLC
    Inventors: Boxiang LIU, Kaibo LIU, He ZHANG, Liang ZHANG, Yuchen BIAN, Liang HUANG
  • Patent number: 11126800
    Abstract: Presented herein are embodiments of a prefix-to-prefix framework for simultaneous translation that implicitly learns to anticipates in a single translation. Within these frameworks are effective “wait-k” policy model embodiments that may be trained to generate a target sentence concurrently with a source sentence but lag behind by a predefined number of words. Embodiments of the prefix-to-prefix framework achieve low latency and better quality when compared to full-sentence translation in four directions: Chinese?English and German?English. Also presented herein is a novel latency metric that addresses deficiencies of previous latency metrics.
    Type: Grant
    Filed: May 10, 2019
    Date of Patent: September 21, 2021
    Assignee: Baidu USA LLC.
    Inventors: Mingbo Ma, Liang Huang, Hao Xiong, Kaibo Liu, Chuanqiang Zhang, Renjie Zheng, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, Haifeng Wang, Baigong Zheng
  • Publication number: 20200104371
    Abstract: Presented herein are embodiments of a prefix-to-prefix framework for simultaneous translation that implicitly learns to anticipates in a single translation. Within these frameworks are effective “wait-k” policy model embodiments that may be trained to generate a target sentence concurrently with a source sentence but lag behind by a predefined number of words. Embodiments of the prefix-to-prefix framework achieve low latency and better quality when compared to full-sentence translation in four directions: Chinese?English and German?English. Also presented herein is a novel latency metric that addresses deficiencies of previous latency metrics.
    Type: Application
    Filed: May 10, 2019
    Publication date: April 2, 2020
    Applicant: Baidu USA LLC
    Inventors: Mingbo MA, Liang HUANG, Hao XIONG, Kaibo LIU, Chuanqiang ZHANG, Renjie ZHENG, Zhongjun HE, Hairong LIU, Xing LI, Hua Wu, Haifeng WANG, Baigong ZHENG