Flood Sung is a distinguished AI researcher and engineer specializing in deep learning,
reinforcement learning, meta-learning, and few-shot learning. Currently serving as
Founder & CEO of XVI Robotics, he is building general-purpose humanoid
robot brain systems and advancing embodied AI towards AGI.
With over 7,500 citations on Google Scholar, Flood has published numerous
high-impact papers at top-tier conferences including CVPR, NeurIPS, and ICLR. His groundbreaking
work on "Learning to Compare: Relation Network for Few-Shot Learning" has achieved over
6,000 citations, establishing him as a leading authority in the field.
Beyond research, Flood is a passionate open-source contributor, maintaining the widely acclaimed
"Deep-Learning-Papers-Reading-Roadmap" with over 39.1k GitHub stars. He actively
shares his insights through blog posts, academic conferences, and technical talks, earning recognition
as an "AGI, Metaverse, and Robotics Evangelist."
"AGI is within reach, and the future lies in successfully applying reinforcement learning
to increasingly complex scenarios—from AI simulating driving and writing articles to
developing apps and publishing scientific papers."
Flood Sung 是一位在人工智能领域，特别是深度学习、强化学习、元学习和少样本学习方向有深入研究和显著成就的学者和工程师。
他目前担任XVI Robotics创始人兼CEO，
致力于打造通用人形机器人大小脑系统，推动具身智能与通用人工智能（AGI）的发展。
根据Google Scholar的数据，Flood Sung的学术成果显著，其论文总引用量已超过7,500次。
他在CVPR、NeurIPS、ICLR等顶级学术会议发表了多篇高影响力论文，其中"Learning to Compare: Relation Network for Few-Shot Learning"获得了高达6,000次的引用。
作为开源社区的积极贡献者，Flood Sung维护着广受欢迎的"Deep-Learning-Papers-Reading-Roadmap"项目，获得了超过39.1k的GitHub星标。
他通过撰写博客文章、参与学术会议和技术分享，积极传播知识和见解，被同行和媒体描述为"AGI、元宇宙及机器人革命布道师"。
"AGI近在眼前，未来的方向是将强化学习成功应用于更复杂的场景，例如让AI模拟驾驶、创作文章、开发APP、发表科研论文等。"
