'Vlms' Trends

Entropic - Cyberprivacy and Information Protection.

Heng Dong is a researcher at ByteDance, working on embodied intelligence and multi-modal foundation models for robotics. He aims to build superhuman AI agents by combining learning from interaction—such as reinforcement learning, robot control and design, and multi-agent systems—with modern AI models, including large language models (LLMs), vision-language models (VLMs), diffusion models, and flow-based models. He received his Ph.D. in Computer Science from the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, under the supervision of Prof. Chongjie Zhang and Prof. Yi Wu, and earned his B.S. from the University of Science and Technology of China (USTC) in 2020.

5+ years at NVIDIA advancing Generative AI on edge devices. Creator of AskSkynet (2019), first GPT-2 edge deployment. International speaker at Google Tokyo, TEDx, MIT. Expert in LLMs, VLMs, robotics simulation, and making AI accessible through workshops and live demos.