Company Filing History:

5 out of 2,340

University of Illinois

patents

4 out of 164,108

International Business Machines Corporation

patents

1 out of 10

Impact Technologies, LLC

patents

4. 1 out of 995

University of Virginia

patents

5. 1 out of 832,680

Other

patents

where one patent can have more than one assignee

Years Active: 2003-2023

where 'Filed Patents' based on already Granted Patents

9 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11704486 - Abstract meaning representation parsing with graph translation (2023-07-18),

2. 11314950 - Text style transfer using reinforcement learning (2022-04-26),

3. 11157275 - Reconfigurable crypto-processor (2021-10-26),

4. 11074189 - FlatFlash system for byte granularity accessibility of memory in a unified memory-storage hierarchy (2021-07-27),

5. 11048447 - Providing direct data access between accelerators and storage in a computing environment, wherein the direct data access is independent of host CPU and the host CPU transfers object map identifying object of the data (2021-06-29),

6. 7725696 - Method and apparatus for modulo scheduled loop execution in a processor architecture (2010-05-25),

7. 7302557 - Method and apparatus for modulo scheduled loop execution in a processor architecture (2007-11-27),

8. 6681387 - Method and apparatus for instruction execution hot spot detection and monitoring in a data processing unit (2004-01-20),

9. 6640315 - Method and apparatus for enhancing instruction level parallelism (2003-10-28),

Title: Innovations of Wen-mei William Hwu

Introduction

Wen-mei William Hwu is a prominent inventor based in Champaign, IL (US), known for his significant contributions to the field of computer science and natural language processing. With a total of 9 patents to his name, Hwu has made remarkable advancements that have influenced various technological applications.

Latest Patents

One of Hwu's latest patents is titled "Abstract Meaning Representation Parsing with Graph Translation." This invention describes a computer-implemented method for generating an abstract meaning representation (AMR) of a sentence. The method involves receiving an input sentence and parsing it into syntactic and/or semantic graphs. An input graph is formed from these graphs, and node representations are generated through natural language processing. The input graph is then processed by a neural network to produce an output graph with learned node representations. The AMR is generated based on predicted node and edge labels.

Another notable patent is "Text Style Transfer Using Reinforcement Learning." This invention outlines a method for transferring a target text style using reinforcement learning. It includes pre-determining the target text style of a natural language sentence and transforming a source-style sentence into the target-style sentence while maintaining the desired text style. The method also calculates an accuracy rating based on rewards related to the target text style.

Career Highlights

Hwu has had a distinguished career, working at the University of Illinois and IBM. His work at these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.

Collaborations

Some of Hwu's notable coworkers include Jinjun Xiong and Matthew Carl Merten. Their collaborative efforts have further advanced the research and development of innovative technologies.

Conclusion

Wen-mei William Hwu's contributions to the field of computer science and natural language processing are significant. His patents reflect a commitment to innovation and the advancement of technology. Hwu's work continues to inspire future developments in the industry.

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