AArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding, ACM MM 2025.
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks, Under Review 2025.
High-performance computing in healthcare: An automatic literature analysis perspective, Journal Big Data 11, 61 (2024).
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks, International Conference on Multimedia Modeling(MMM) Oral 2024.
Towards Open-Vocabulary Video Instance Segmentation, International Conference on Computer Vision (ICCV) Oral 2023.
Active Learning for Multilingual Fingerspelling Corpora, ICML workshop: Adaptive Experimental Design and Active Learning in the Real World 2022.
Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems, arXiv 2021.
Research Experience
Conducts research jointly in MultiX lab in Informatics Institute and Amsterdam Business School, inspired by Dr. Monika Kackovic and Prof. dr. Nachoem Wijnberg. Worked as an AI intern at Shell Technology Center and a research assistant in Computer graphics.
Education
PhD: Artificial Intelligence at University of Amsterdam, supervised by Dr. Stevan Rudinac and Prof. dr. Marcel Worring; Master: Artificial Intelligence at University of Amsterdam (Cum Laude), thesis on sign language processing, supervised by Dr. Eric Nalisnick; Bachelor: Aerospace Engineering at Shenyang Aerospace University, focused on Computational fluid dynamics.
Background
Research interests include multimodal information retrieval and generation, especially with structured information like (hyper)graphs. Also focuses on how to use these technologies to contribute to applied research related to innovation and creativity.