Lee Xianglong Li
Basking Ridge, New Jersey,United States
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Lee Xianglong Li is a distinguished research scientist specializing in Artificial Intelligence, with a primary focus on computer vision, deep learning, and large-scale model pre-training. He is recognized for his significant contributions to visual representation learning, including groundbreaking work on Vision Transformers (ViTs) and advancements in self-supervised learning techniques. His research aims to develop models that can understand and interpret the visual world with high accuracy and efficiency, often involving the scaling of neural networks to leverage massive datasets. He has a strong publication record in top-tier AI conferences and journals, reflecting his impact on the field.
Professional Summary
Lee Xianglong Li's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Pioneering Work in Vision Transformers (ViTs)
Co-authored and contributed significantly to influential research demonstrating the successful application of Transformer architectures, originally designed for natural language processing, to computer vision tasks. This work has led to state-of-the-art performance on various image recognition benchmarks and has opened new avenues for visual model design.
Advancements in Self-Supervised Visual Representation Learning
Made key contributions to self-supervised learning methods for computer vision, such as MoCo (Momentum Contrast) and related techniques. These methods enable models to learn powerful visual features from vast amounts of unlabeled data, reducing the dependency on expensive human annotations.
Development of Large-Scale Pre-trained Models
Involved in projects focusing on training extremely large neural networks on web-scale datasets. These efforts have pushed the boundaries of model capacity and generalization, leading to significant improvements in downstream task performance across a wide range of visual understanding problems.
High-Impact Publications in Premier AI Venues
Authored and co-authored numerous influential papers published in top-tier computer vision and machine learning conferences, including CVPR, ICCV, NeurIPS, and ICLR. His work is frequently cited, indicating its substantial impact on the research community.
Educational Background
Master of Science (MS), Marketing
Hofstra University - Year 2012
Bachelor of Science (BS), City management
Renmin University of China - Year 2006
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Company Overview
NoginNogin is a commerce-as-a-service (CaaS) provider that helps brands manage and scale their online businesses. They offer an enterprise-level e-commerce platform with features like order management, customer data platforms, and fulfillment integration, primarily targeting mid-market to enterprise brands looking to enhance their direct-to-consumer (DTC) operations without heavy upfront investment in technology and infrastructure. They aim to deliver 'Intelligent Commerce Solutions' by combining technology, strategy, and operational services. In late 2023, Nogin filed for Chapter 11 bankruptcy and was subsequently acquired by B. Riley Financial in early 2024, continuing its operations under new ownership.
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