Artificial Intelligence Researcher
Yong Dai
Language models, multimodal intelligence, autonomous agents, and embodied intelligence.
R01Foundation Models
R02Multimodal Intelligence
R03Agentic Reasoning
R04Embodied Intelligence
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About
My research bridges large language models and the complex, multimodal world we live in. I completed my Ph.D. at the University of Electronic Science and Technology of China under the guidance of Professor Zenglin Xu, with research experience at Microsoft and Tencent AI Lab.
I now focus on multimodality, web agents, and embodied intelligence. I am interested in unified models that can perceive, reason, act, and learn through interaction, with the long-term goal of connecting world models and autonomous agents into capable general-purpose intelligent systems.
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Experience
2021 - 2024
Research Intern and Researcher
Tencent AI Lab
2020 - 2021
Visiting Student
Westlake University
2019 - 2020
Research Intern
Microsoft STCA NLP Group
2018 - 2019
Project Lead
Research collaboration with Nuance
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Research
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News
Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward accepted by ICML 2026.
Web-CogReasoner, a multimodal cognitive reasoning framework for web agents, accepted by ICLR 2026.
E-ViC, which studies embodied visual chains for spatial intelligence, accepted by ACL 2026.
Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization accepted by ACM MM 2026.
Distribution-Aligned Decoding and InfMasking accepted by NeurIPS 2025.
Nexus and MME-Finance accepted by ACM MM 2025.