About Me

Hi there! I am an undergraduate student in Electronic Information and Technology at Tsinghua University (expected graduation in 2027), selected for the highly competitive “AI + System” Talent Program (Top 30%). Currently, I am a visiting exchange student at the School of Electrical and Electronic Engineering (EEE), Nanyang Technological University (NTU) in Singapore.

My research broadly focuses on the intersection of Large Language Models (LLMs), Multimodal AI, Graph Learning, and Combinatorial Optimization. I am particularly interested in building efficient, scalable, and memory-optimized AI systems for dynamic real-world environments.

Currently, I am working as a intern at MMLab@NTU under the supervision of Prof. Ziwei Liu, focusing on memory compression strategies for Large Video Models. Previously, I worked on LLM-driven dynamic network routing and graph neural networks under the guidance of Prof. Quanming Yao at Tsinghua.

You can find my full CV here: Download CV.

🎓 Education

• B.S. in Electronic Information and Technology, Tsinghua University, Aug. 2023 - Jun. 2027 (Expected)

  • GPA: 3.8/4.0 (Top 30%)

    “AI + System” Talent Program

• Exchange Program, Nanyang Technological University (NTU), Aug. 2025 - May 2026

🔬 Research Interests

• Efficient AI Systems: Memory Compression for Video LLMs, KV Cache Optimization.
• LLM Agents & Reasoning: AI for Combinatorial Optimization, Prompt Evolution.
• Graph Learning: Dynamic Graph Neural Networks, Network Routing.

📰 Recent News

• [Feb. 2026] Joined MMLab@NTU as a research assistant to work on Memory Compression for Large Video Models!
• [Sep. 2025] Our paper “NeRM-Net: Reflective Evolution of Routing Strategies for Dynamic Communication Networks” was accepted at the ACM CoNEXT 2025 Workshop!
• [Aug. 2024] Won the 1st Prize at the Tsinghua “Zhili Cup” Agent Competition.