Shengchao Chen
About Me
I am affiliated with Australian AI Intelligence Institute (AAII) at University of Technology Sydney. My research focuses on Machine Learning, Multimodal Learning, Agentic AI, and AI for Scientific Design / Problem Solving, with a focus on developing innovative approaches that enable intelligent agent to learn from and understand a dynamic and open world.
I am actively seeking collaborations with both academia and industry to tackle real-world challenges. If you are interested in my research or have any ideas for discussion, please feel free to contact me.
Latest News
One paper (I serve as corresponding author) about Medical Vision-Language Modeling accepted by Knowledge-Based Systems (Top, JCR Q1).
I have one paper about General Time Series Foundation Model (Distributed) Pretraining accepted by ICLR-2026 (Core A*).
I am honored to receive the AAII Best Student Paper Award at University of Technology Sydney.
One paper about Scientific LLM Post-training accepted by Information Fusion (Top, JCR Q1, IF=16).
One paper about Multiple Medical Imaging Alignment accepted by MICCAI-2025 (CORE A/CCF-B/Top in Medical Imaging).
I am honored to deliver a lecture-style tutorial on Federtaed Intelligence in Web: A Tutorial at WWW-2025 (CORE A*/CCF-A).
One paper (I serve as the corresponding author) about Cross Medical Imaging Modalities Adaption accepted as the full-length paper by ICMR-2025 (CCF-B/Core B).
I have one paper about Federated Time Series Foundation Model accepted by AAAI-2025 (Core A*/CCF-A).
Our tutorial about Federated Intelligence in Web accepted by WWW-2025 (Core A*/CCF-A).
I have one paper about LLMs on Weather Modeling accepted by NeurIPS-2024 (Core A*/CCF-A).
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I have one paper about Federated Foundaion Model on Weather accepted by AI4CI Workshop @ IJCAI-24 (Core A*/CCF-A, Highlight).
I have one paper about On-device Weather Foundation Model accepted by IJCAI-24 (Core A*/CCF-A).
I have one paper (Internship) about Distributed Remote Sensing Analysis accepted by Knowledge-Based Systems (Top, JCR Q1).
Our survey: Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey, accepted on ArXiv.
I have one paper (Internship) about Weather Image Analysis accepted by Knowledge-Based Systems (Top, JCR Q1).
I have one paper (Internship) about Radar Echo Spatio-temporal Prediction accepted by IEEE Transaction on Geoscience and Remote Sensing (Top, JCR Q1).
I have one paper about Federated Prompt for Weather Foundation Model accepted by IJCAI 2023 (Core A*/CCF-A).
I have one paper about Interpretable Medical Image Analysis accepted by IEEE Journal of Biomedical and Health Informatics (Top, Core A*/JCR Q1).
I am honored to be awarded the National Scholarship (1st, 1/1218).
I have one paper (Internship) about Generative Adversarial Network on Radar Images accepted by IEEE Transaction on Geoscience and Remote Sensing (Top, JCR Q1).
Research Publications
[Google Scholar]Honors and Awards
Experiences
Research Intern (Machine Learning)
Shenzhen Institute of Meteorological Innovation, China
Conducted research on machine learning applications for meteorological prediction and climate modeling. Developed novel algorithms for time-series analysis and remote sensing data processing.