Google DeepMind Researcher Lijun Yu Named Top Innovator

The MIT Technology Review honors Yu for developing generative AI models that improve image and video fidelity.

Updated on Oct. 31, 2026 in Artificial Intelligence

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MIT Technology Review recognized Google DeepMind researcher Lijun Yu for developing generative AI models that advance multi-modal video and image fidelity. AI Illustration. Upload story photo >

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MIT Technology Review named Google DeepMind senior research scientist Lijun Yu to its 2026 Innovators Under 35 Asia Pacific list. Yu is recognized for contributions to generative AI, including the development of VideoPoet and the MAGVIT image and video generation architectures.

Why it matters

Yu's inclusion highlights the increasing influence of researchers bridging multi-modal generation and compression techniques in large-scale AI modeling. These advancements in video generation are central to current efforts aimed at creating more efficient, high-fidelity AI systems.

Yu's work includes MAGVIT and MAGVIT-v2, architectures designed to improve image and video generation. These models aim to enhance the quality of outputs generated from text instructions, similar to the functionality seen in the VideoPoet system.

The players

Lijun Yu

A senior research scientist at Google DeepMind specializing in generative AI and video modeling.

Google DeepMind

A subsidiary of Alphabet that develops large-scale AI systems, including multimodal generation models.

MIT Technology Review

An independent media company owned by the Massachusetts Institute of Technology that tracks emerging technologies.

The details

Yu helped develop VideoPoet, an AI system that translates text instructions into video sequences. This process relies on latent video generation, where the model processes compressed representations of visual data to predict subsequent frames. Yu also developed MAGVIT and MAGVIT-v2, which are masking-based generative video tokenizers that improve the fidelity of high-resolution image and video generation tasks.

Timeline

  1. 2018: Yu participated in a summer research program at Carnegie Mellon University.

  2. 2019: Yu graduated from Peking University with degrees in computer science and economics.

  3. 2024: Yu received a Best Paper Award at the International Conference on Machine Learning.

  4. May 2024: Yu joined Google DeepMind as a senior research scientist.

  5. 2026: Yu was named to the MIT Technology Review Innovators Under 35 Asia Pacific list.

The Tech Race

Yu's recognition follows his successful work at the International Conference on Machine Learning, a critical venue for gauging progress in generative architectures. This award underscores the growing significance of research-led model efficiency in the competitive race to build robust video AI.

The systems developed by researchers like Yu, such as VideoPoet, are gradually being integrated into AI production workflows to automate video creation. Users should monitor updates from Google DeepMind regarding the public release or API availability of these generative video models.

The takeaway

Yu's career path from academic research to the core of Google DeepMind's generative team tracks the industry's shift toward high-fidelity, multi-modal video synthesis. Watch for future research papers from Google DeepMind that detail further improvements in video tokenization benchmarks.

Further reading

Explore deeper developments in the field of Artificial Intelligence.

Source note: This article includes information reported by VnExpress International – Latest news, business, travel and analysis from Vietnam.

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