Rico Suyang Lumiere
M.S. Student in Computer Science at Central South University.
Central South University
Changsha, HuNan, China
Hi there! 👋 I am an M.S. student in Computer Science at Central South University (CSU).
I have a unique and highly diverse background. My academic journey began in Finance and Big Data Management at ZUEL, which equipped me with strong logical reasoning and macro-level strategic thinking. Driven by a passion for complex data, I transitioned into bioinformatics, specifically Spatial Transcriptomics, where I honed my skills in processing high-dimensional biological datasets.
Today, I channel all these interdisciplinary analytical skills into the frontiers of Artificial Intelligence. I am fully dedicated to Computer Vision (CV) and Multimodal Large Language Models (MLLM). I firmly believe my non-traditional path is my superpower, allowing me to approach AI research and problem-solving from fresh, multifaceted perspectives!
Feel free to reach out for collaborations, discussions, or just a quick chat about AI!
I am currently looking for research internship opportunities in the field of MLLM. Feel free to drop me an email!
news
| Jan 15, 2016 | A simple inline announcement with Markdown emoji! |
|---|---|
| Nov 07, 2015 | A long announcement with details |
| Oct 22, 2015 | A simple inline announcement. |
selected publications
- CEMUSA: A Graph-based Integrative Metric for Evaluating Clusters in Spatial TranscriptomicsBioinformatics, Feb 2026
- Detecting anomalous anatomic regions in spatial transcriptomics with STANDSNature Communications, 2024
- A methodological framework for measuring spatial labeling similarityIn Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025
- Domain adaptive and fine-grained anomaly detection for single-cell sequencing data and beyondIn Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024