I am a PhD student at University of Amsterdam, jointly in MultiX lab in Informatics Institute and Amsterdam Business School. I luckily get technical supervision from Dr. Stevan Rudinac and Prof. dr. Marcel Worring, and business-research inspiration from Dr. Monika Kackovic and Prof. dr. Nachoem Wijnberg. My research focuses on Multimodal Information Retrieval and Generative Modelling, especially encoded with structure information like (Hyper)graph. I also work on how to use them to contribute to business theory related to innovation and creativity.

Before starting my PhD, I completed my Master degree in Artificial Intelligence at the University of Amsterdam (Cum Laude), with my thesis on sign language processing supervised by Dr. Eric Nalisnick. I was also an AI intern at Shell Technology Center and a research assistant on Computer graphics. Before that, I did my Bachelor’s in Aerospace Engineering focused on Computational fluid dynamics at Shenyang Aerospace university.

Publications

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, arXiv 2024. [pdf]

High-performance computing in healthcare: An automatic literature analysis perspective

Li Jieyi, Shuai Wang, Stevan Rudinac, Anwar Osseyran. (2024). Journal 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, International Conference on Multimedia Modeling(MMM) Oral 2024. [pdf] Also presented at the Graph Learning Frontiers workshop at NeurIPS 2023

Towards Open-Vocabulary Video Instance Segmentation

Haochen Wang, Cilin Yan,Shuai Wang, Xiaolong Jiang, XU Tang, Yao Hu, Weidi Xie, Efstratios Gavves, International Conference on Computer Vision (ICCV) Oral 2023. [pdf]

Active Learning for Multilingual Fingerspelling Corpora

Shuai Wang, Eric Nalisnick, ICML workshop: Adaptive Experimental Design and Active Learning in the Real World 2022. [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]