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

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

Adaptive Sampling for Scalable Hypergraph Neural Networks

Shuai Wang, Shuai Wang, David W. Zhang, Stevan Rudinac, Monika Kackovic, Nachoem Wijnberg, Marcel Worring, under review at conference, 2024.

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]