Yu SUN (孙宇)
Applied Researcher @ Weixin Group, Tencent
About Me
I am an Applied Researcher at Weixin Group, Tencent, building safety-aware, domain-specific foundation models to empower the WeChat safety ecosystem. My work spans both pre-training and post-training—including supervised fine-tuning (SFT) and reinforcement learning (rubric-based GRPO, OPD)—to strengthen content understanding and risk detection.
I hold a Master's degree in Artificial Intelligence from the National University of Singapore (NUS), where my research was conducted at the NExT++ Research Center, and a Bachelor's degree in Cyberspace Security from Wuhan University (WHU), as a member of the Trusted Computing & Security (TC&S) Lab. Previously, I was a Machine Learning Engineer Intern at ByteDance Singapore, working on TikTok content safety.
My research interests include MLLMs, Generative Models, Content Understanding, and Out-of-Distribution Generalization.
Technical Expertise
Experience
Building safety-aware, domain-specific foundation models to empower the WeChat safety ecosystem, covering both pre-training and post-training (SFT and reinforcement learning: rubric-based GRPO, OPD) for advanced content understanding and risk detection.
Worked on machine learning solutions for TikTok content safety and moderation.
Education
NExT++ Research Center
Trusted Computing & Security (TC&S) Lab