Ruishuo Chen

About · Publications · Awards · Misc · CV (PDF)

About Me

Hi! I am Ruishuo Chen (陈睿硕 in Chinese), a first-year M.Sc. student at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, where I am fortunate to work under the supervision of Professor Longbo Huang.

I received my B.Sc. in Statistics from the School of Mathematics, Nanjing University in 2025. I am also a graduate of Suzhou High School of Jiangsu Province.

Research Interests

My research is primarily focused on the continual evolution of AI. I am particularly interested in:

• Reinforcement Learning (RL) — including related frameworks (e.g., GFlowNets).
• Large Language Models (LLMs) — including novel architectures, continual learning, and agent memory.

Recent News

• 🎨 Jul, 2026. Major posterly upgrade — a dramatically wider range of design styles, instead of one house look. Also launched tryposterly.com, with a blog and a paid cloud service that runs the skill for you, now open to everyone.
• 🚀 Jun, 2026. Released posterly, a coding-agent skill (Claude, Codex, …) that builds academic conference posters as a single HTML/CSS file and renders them to print-ready PDF — feel free to try it out!
• 🎉 Apr, 2026. Two papers (PowerFlow and TD-GFN) accepted by ICML 2026.
• 🎉 Apr, 2026. Offline Critic-Guided Diffusion Policy for Multi-User Delay-Constrained Scheduling accepted by IEEE Transactions on Mobile Computing (TMC).
• 📄 Oct, 2025. Statistical Analyses of Solar Active Regions in SDO/HMI Magnetograms Detected by the Unsupervised Machine Learning Method DSARD published in ApJS (IF>8.5, a top journal in solar physics).

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