About me
I am a PhD candidate at the University of Amsterdam, jointly in the MultiX lab (Informatics Institute) and Amsterdam Business School. I am supervised by Dr. Stevan Rudinac and Prof. dr. Marcel Worring, with business-research guidance from Dr. Monika Kackovic and Prof. dr. Nachoem Wijnberg. My research specializes in Multimodal Agent and Agentic AI with a focus on applied research to solve complex, real-world business challenges.
I have a proven track record of applied research in industry. Most recently, I was an Applied Scientist Intern at Amazon, where I researched LLM alignment and safety. Prior to that, I was a Machine Learning Scientist Intern at Booking.com, where I applied Supervised Fine-Tuning to enhance geographic representations for large-scale hotel recommendation systems.
Before starting my PhD, I did my Master’s in Artificial Intelligence at the University of Amsterdam (Cum Laude). Before that, I did my Bachelor’s in Aerospace Engineering at Shenyang Aerospace University.
Recent News
| Date | Event |
|---|---|
| Apr 2026 | My paper A-MAR and two collaboration works are accepted to ACM ICMR 2026 |
| Jan 2026 | Completed Applied Scientist internship at Amazon Alexa team, London |
| Sep 2025 | Completed ML Scientist internship at Booking.com ranking team, Amsterdam |
| July 2025 | ArtRAG accepted at ACM Multimedia 2025 |
Publications
MMArt: A Multi-Perspective Multimodal Dataset for Visual Art Understanding Shuai Wang, Wangyuan Ding, Yixian Shen, Jia-Hong Huang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring. submitted to ACM Multimedia 2026.
A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding Shuai Wang, Hongyi Zhu, Jia-Hong Huang, Yixian Shen, Simon Zeng, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring. ACM ICMR 2026.
ArtRAG: Multi-Topic Contextual Art Description Generation using Graph Retrieval-Augmented Generation Shuai Wang, Ivona Najdenkoska, Hongyi Zhu, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring. ACM Multimedia 2025 [pdf]
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks Shuai Wang, David W. Zhang, Jia-Hong Huang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring. Under Review 2025. [pdf]
High-performance computing in healthcare: An automatic literature analysis perspective Jieyi Li, Shuai Wang, Stevan Rudinac, Anwar Osseyran. Journal of Big Data 11, 61 (2024). [pdf]
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang, Jiayi Shen, Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring. MMM 2024 (oral); also at NeurIPS 2023 Workshop on New Frontiers in Graph Learning. [pdf]
Towards Open-Vocabulary Video Instance Segmentation Haochen Wang, Cilin Yan, Shuai Wang, Xiaolong Jiang, XU Tang, Yao Hu, Weidi Xie, Efstratios Gavves. ICCV 2023 (oral). [pdf]
Active Learning for Multilingual Fingerspelling Corpora Shuai Wang, Eric Nalisnick. ICML 2022 Workshop: Adaptive Experimental Design and Active Learning. [pdf]
Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems Dan Li, Shuai Wang, Jie Zou, Chang Tian, Elisha Nieuwburg, Fengyuan Sun, Evangelos Kanoulas. arXiv 2021. [pdf]