People / Charlene Liu
Liu Charlene

Charlene Liu, Ph.D.

Dr. Jiaping (Charlene) Liu is an intellectual property lawyer with an extensive knowledge of patents and a focus on patent prosecution and assertion matters. Charlene performs client counseling, portfolio development and management in various technological fields, and in particular focusing on software, AI and deep learning, semiconductors, integrated circuits, financial service, and network security. Charlene also frequently counsels clients on assertions and licensing disputes, such as in the realm of standard essential patents and wireless technology.

Before her legal career, she obtained her Ph.D. in electrical engineering from Princeton University, and was a Gordon Wu fellowship recipient. Her doctoral work focused on stochastic modeling of data networks, and she worked on wireless transmission protocols for ad hoc networks at Bell Labs during graduate school.

Professional Recognition

  • Included in the "Ones to Watch" category of Best Lawyers in America, Woodward/White, Inc., 2021-2022
  • Safe Haven Award for Excellence in Pro Bono Representation of Immigration Equality, a New York based nonprofit organization, 2016

Selected Client Representations

  • Represented a leading software company to develop, prosecute and manage a portfolio of more than 500 patents/applications relating to AI and deep learning technology in the U.S. and worldwide.
  • Represented a technology company on assertions and licensing disputes relating to LTE and 5G standards.
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BE, Electrical Engineering, Shanghai Jiao Tong University, 2004

J.D., Georgetown University Law Center, 2013

Ph.D., Electrical Engineering, Princeton University, 2009


Chinese (Cantonese)

Chinese (Mandarin)



New Jersey

New York

U.S. Patent and Trademark Office

Protecting IP in Autonomous Driving
August 17, 2021

Modern autonomous driving technology often entails applications of Artificial Intelligence (AI) to facilitate navigation and safety. For example, autonomous vehicles can often be equipped with multiple sensors around the vehicle, such as LiDAR, radar, cameras, thermometer, accelerometer GPS, Wi-Fi modules, and/or the like, which are configured to capture data reflecting the environment where the [...]

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