Company Filing History:
Years Active: 2020-2025
Title: Innovations of Xiaoliang Dai
Introduction
Xiaoliang Dai is a prominent inventor based in Princeton, NJ (US). He has made significant contributions to the field of neural networks, holding a total of 4 patents. His work focuses on developing advanced methods for machine learning and neural architecture design.
Latest Patents
One of his latest patents is titled "System and method for incremental learning using a grow-and-prune paradigm with neural networks." This invention discloses a method for generating a compact and accurate neural network for a dataset that has initial data and is updated with new data. The method involves performing a first training on the initial neural network architecture to create a first trained neural network architecture. Additionally, it includes a second training on the first trained neural network architecture when the dataset is updated with new data. This process aims to create a second trained neural network architecture by growing and pruning connections based on the data's gradients.
Another notable patent is "Hardware-aware efficient neural network design system having differentiable neural architecture search." This invention describes computer-implemented systems that utilize a differentiable neural architecture search (DNAS) engine. The DNAS engine is designed to process training data to train weights for various operators in a stochastic super net, optimizing the network architecture based on latency on a target platform.
Career Highlights
Xiaoliang Dai has worked with prestigious organizations, including Princeton University and Meta Platforms, Inc. His experience in these institutions has allowed him to collaborate on cutting-edge research and development projects in the field of artificial intelligence.
Collaborations
Some of his notable coworkers include Niraj K Jha and Hongxu Yin. Their collaborative efforts have contributed to advancements in neural network technologies and machine learning methodologies.
Conclusion
Xiaoliang Dai's innovative work in neural networks and machine learning has positioned him as a key figure in the field. His patents reflect a commitment to advancing technology and improving the efficiency of neural network architectures.