Company Filing History:

6 out of 164,108

International Business Machines Corporation

Years Active: 2022-2025

where 'Filed Patents' based on already Granted Patents

7 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12314278 - Scalable visual analytics pipeline for large datasets (2025-05-27),

2. 11928121 - Scalable visual analytics pipeline for large datasets (2024-03-12),

3. 11699508 - Method and apparatus for selecting radiology reports for image labeling by modality and anatomical region of interest (2023-07-11),

4. 11416772 - Integrated bottom-up segmentation for semi-supervised image segmentation (2022-08-16),

5. 11282601 - Automatic bounding region annotation for localization of abnormalities (2022-03-22),

6. 11246539 - Automated detection and type classification of central venous catheters (2022-02-15),

7. 11244755 - Automatic generation of medical imaging reports based on fine grained finding labels (2022-02-08),

Title: Exploring the Innovations of Joy Tzung-yu Wu: A Pioneer in Visual Analytics

Introduction: Joy Tzung-yu Wu, an inventive mind based in San Jose, CA, has made significant contributions to the field of visual analytics through his seven patents. With a focus on scalable solutions for large datasets, Wu’s work exemplifies how innovative technologies can transform data processing and analysis.

Latest Patents: One of Wu's notable inventions is a "Scalable Visual Analytics Pipeline for Large Datasets." This patent outlines mechanisms for implementing a visual analytics pipeline that generates a chronology-aware graph data structure from an input database of records. This advanced system features vertices to represent events or records based on specified ontology data structures, with edges that define the chronological relationships between these events. Furthermore, the invention encompasses executing a chronology-aware graph query to filter and analyze these vertices, leading to the discovery of high-frequency patterns of event paths. Ultimately, it provides a visual representation that enhances understanding and insight from complex datasets.

Career Highlights: Throughout his career, Joy Tzung-yu Wu has contributed to notable companies, including International Business Machines Corporation (IBM) and Merative US L.P. His work at these prestigious organizations has resulted in groundbreaking innovations that address complex challenges in data management and analysis, positioning him as a significant figure in his field.

Collaborations: Wu has collaborated with talented professionals like Tanveer Fathima Syeda-Mahmood and Alexandros Karargyris. Such partnerships have facilitated the exchange of ideas and expertise, further enhancing the development of innovative solutions in visual analytics.

Conclusion: Joy Tzung-yu Wu's research and inventions are pivotal to advancing visual analytics. His patented technologies not only showcase his commitment to innovation but also reflect the potential of data-driven solutions in various industries. As he continues to explore new frontiers, Wu’s contributions will undoubtedly inspire future inventors and researchers in the field.

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