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Dr. Richard Weiqi Zhang is a distinguished Research Scientist at Google, focusing on Artificial Intelligence, particularly in areas of deep learning, computer vision, and efficient AI models. He earned his Ph.D. from Carnegie Mellon University (CMU), where his research made significant contributions to understanding and improving neural network architectures, such as his work on Perceptual Adversarial Robustness and context-aware image inpainting. His expertise lies in developing innovative machine learning algorithms and applying them to solve complex real-world problems. Richard is known for his publications in top-tier conferences and his commitment to advancing the frontiers of AI research.
Richard Weiqi Z.'s work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Completed his doctoral studies at CMU's renowned School of Computer Science, specializing in machine learning and computer vision, with a thesis focusing on deep generative models and adversarial robustness.
Currently contributes to cutting-edge AI research and development at Google, working on projects that push the boundaries of machine intelligence and its applications.
Authored and co-authored numerous papers in prestigious conferences such as NeurIPS, CVPR, ICCV, and ECCV, covering topics like generative adversarial networks (GANs), self-supervised learning, and efficient deep learning.
His PhD work included significant contributions such as 'Context Encoders: Feature Learning by Inpainting' and research on making deep networks robust to perceptual adversarial attacks, widely cited in the academic community.
Recognized as a Siebel Scholar (Class of 2018) for outstanding academic excellence and demonstrated leadership during his graduate studies at Carnegie Mellon University.
Harvard University
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