Welcome!

I am Ruilin Xu, an undergraduate student in Computer Science and Technology at Sun Yat-sen University (SYSU), Guangzhou, China.
My research interests lie in Natural Language Processing, Graph Neural Networks, and Machine Learning Systems.

I have published multiple papers at top-tier conferences, including ACL, EMNLP, and IWQoS, and gained extensive experience in large language model training, multimodal systems, and machine learning system optimization.
Currently, I am a Research Intern at ByteDance (Seed-Vision Team), working on multimodal large model training, inference, deployment, and system optimization, including projects such as Seedream 4.0 and Seedream 5.0.

Beyond research, I am the Founder of NeuronSpark, an AI community and competition platform at SYSU, and served as President of Microsoft Club, leading technical activities and fostering collaborative learning.

📄 Curriculum Vitae
📝 Google Scholar
💻 GitHub
✍️ Personal Blog

News

2025-07 💻 Joined ByteDance Seed-Vision team as a research intern, working on multimodal large models
2025-06 📄 Our paper on performance tracing in ML systems was accepted to IWQoS 2025
2025-04 🎓 Hosted the first NeuronSpark AI competition at SYSU
2024-08 🎓 Founded NeuronSpark, an AI competition and community platform at SYSU
2024-08 🏆 Won National Prize in NSCSCC (Operating Systems Track)
2024-07 📄 One paper on conversational recommendation accepted to EMNLP 2024 (Oral)
2024-06 🏆 Received Tencent Scholarship, Sun Yat-sen University
2024-05 🏆 Awarded SYSU Excellent Scholarship
2024-04 🏆 Recognized as Outstanding Student Club Leader, Sun Yat-sen University
2024-02 📄 One paper on conversational recommendation accepted to ACL 2024 (Oral)
2023-08 🎓 Elected as President of Microsoft Club, SYSU
2023-05 🏆 Awarded SYSU Excellent Scholarship
2022-09 🎓 Enrolled as a freshman student at Sun Yat-sen University

Experience

ByteDance, Seed-Vision team — Research Intern, Jul 2025 – present
Focus on multimodal large model training, inference, and deployment

Human-Cyber-Physical Intelligence Integration Lab, SYSU — Research Assistant, Oct 2023 – present
Research on conversational recommendation systems and hypergraph modeling

DDS Lab, SYSU — Research Assistant, Jun 2024 – present
Research on ML system performance tracing and anomaly detection with eBPF

Matrix Laboratory, SYSU — Member, Dec 2022 – Jun 2025
Developed and maintained the university’s programming teaching and automatic judging platform