I am a Ph.D. student at Australian AI Intelligence Institute (AAII), University of Technology Sydney, working on Federated Intelligence. I have worked as a Deep Learning Research Intern at Shenzhen Institue of Meteorological Innovation(Guangdong-Hong Kong-Macao Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting). Previously, I completed an MPhil at the Hainan University and a BEng at Jiangxi University of Science and Technology. Now, my research focuses on bridging the gap between academic research and real-world applications. If you have any fun ideas or just want to have a chat, please feel free to drop me an email (shengchao.chen.uts AT gmail DOT com pavelchen@ieee.org).
99% of the research process is frustrating, but refreshing insights may still be gleaned from it.
Fun Fact: My research during my masters was in fiber-optic sensing and I was exposed to ML/DL during my intership, which is the main reason why I have a composite background.
💬 Research Intersts
I primarily focus on building trustworthy AI models in the ever-changing real world to address potentially complex modeling scenarios.
- Federated Learning: FL for X (e.g., Time Series, Computer Vision, Science, etc.)
- Computer Vision: Mainly for remote sensing (IEEE TGRS’22,23, KBS’23,24) / Medical imaging (IEEE JBHI’24, MBEC’24, arXiv‘24)
- Time Series: Time Series Forecasting (IJCAI’23,24, NeurIPS’24, arXiv’23,24)
🔥 News
- 2024.09: I have one paper about LLMs on Weather Modeling accpted by NeurIPS 2024 with an average rating of 7.
- 2024.06: I have one paper about Federated Foundaion Model on Weather accpted by AI4CI Workshop @ IJCAI 24 (Highlight).
- 2024.05: I am honour to be invited to attend and present at the AI4CI Workshop @ IJCAI 24, expect to get more insights.
- 2024.05: I have one paper about Retinal Disease Recognition accpted by Medical & Biological Engineering & Computing (I mentor). Congratulations to my collaborators!
- 2024.04: I have one paper about On-device Weather Foundation Model accpted by IJCAI’24,see you on Jeju!
- 2024.03: I have one paper about Federated Remote Sensing Analysis accepted by Knowledge-Based Systems (Top in Knowledge System, JCR Q1), which is my fourth work during my intership.
- 2024.02: I have two papers about *Machine Leaning for Fiber-optics Demodulation accpted by Optical Fiber Technology (I mentor). Congratulations to my collaborators!
- 2023.12: Our survey: Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey, has appeared on arXiv, which is the first comprehensive and systematic effort to summarize DL-based understanding of weather and climate data, paving the way for the development of foundation models of weather and climate.
- 2023.08: I have one paper about Weather Image Analysis accepted by Knowledge-Based Systems (Top in Knowledge System, JCR Q1), which is my third work during my intership.
- 2023.07: I have one paper about Radar Echo Spatio-temporal Predition accepted by IEEE Transaction on Geoscience and Remote Sensing (Top in RS, JCR Q1), which is my second work during my intership.
- 2023.06: I received my master’s degree from Hainan University with distinguished honors.
- 2023.04: I have one paper about Federated Prompt for Weather Foundation Model accpted by IJCAI’23.
- 2023.03: I have three papers about Fiber-optics Demodulation accpted by IEEE Sensors Journal (I mentor). Congratulations to my collaborators!
- 2023.03: I have one paper about Federated Photonic Reverse Design accpted by IEEE Photonic Letter.
- 2023.02: I have one paper about Medical Image Analysis accpted by IEEE Journal of Biomedical and Health Informatics (Top in Medical Information).
- 2022.10: I was honored to be awarded the National Scholarship with the first place overall in Hainan University.
- 2022.07: I have one paper about Machine Learning-based Photonic Reverse Design accepted by IEEE Photonic Letter.
- 2022.06: I have one paper about Generative Adversial Network on Radar Iamges accepted by IEEE Transaction on Geoscience and Remote Sensing (Top in Remote Sensing, JCR Q1), which is my first work during my intership.
- 2022.05: I have one paper about Machine Learning on Fiber-optic Measuring’2 accepted by Optics Express (Top in Optical, JCR Q1).
- 2022.02: I have one paper about Machine Learning on Fiber-optic Measuring‘1 accpted by Optics Express (Top in Optical, JCR Q1).
📝 Publications
Survey:
- Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey, Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang, arXiv (work in progress)
Federated Intelligence:
- Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models, Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang, NeurIPS 2024
- Federated Prompt Learning for Weather Foundation Models on Devices, Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang, Main Track in IJCAI 2024 & Invited Talk on AI4CI
- Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data, Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Main Track in IJCAI 2023
Computer Vision
- Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework, Shengchao Chen, Ting Shu, Huan Zhao, Jiahao Wang, Sufen Ren, Lina Yang, Knowledge-Based Systems
- TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression, Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen, IEEE Transactions on Geoscience and Remote Sensing
- Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images, Shengchao Chen, Sufen Ren, Guanjun Wang, Mengxing Huang, Chenyang Xue, IEEE Journal of Biomedical and Health Informatics
- MASK-CNN-Transformer for real-time multi-label weather recognition, Shengchao Chen, Sufen Ren, Guanjun Wang, Mengxing Huang, Chenyang Xue, Knowledge-Based Systems
- Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation, Shengchao Chen, Ting Shu, Huan Zhao, Qilin Wan, Jincan Huang, Cailing Li, IEEE Transactions on Geoscience and Remote Sensing
- Diffusion Model in Semi-Supervised Scleral Segmentation, Hong Peng, Shengchao Chen, Ning Niu, Jiahao Wang, Qiaoyi Yao, Lu Wang, Yixuan Wang, Jurui Tang, Guanjun Wang, Mengxing Huang, Chengyang Xue, 2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
- Ensemble Learning for Retinal Disease Recognition under Limited Resources, Jiahao Wang, Hong Peng, Shengchao Chen (Corresponding Author), Sufen Ren, Medical & Biological Engineering & Computing
- Recognition System for Diagnosing Pneumonia and Bronchitis Using Children’s Breathing Sounds Based on Transfer Learning, Jianying Shi, Shengchao Chen, Benguo Yu, Yi Ren, Guanjun Wang, Chenyang Xue, Intelligent Automation & Soft Computing
AI for Science
- Cost-effective improvement of the performance of AWG-based FBG wavelength interrogation via a cascaded neural network, Shengchao Chen, Feifan Yao, Sufen Ren, Guanjun Wang, Mengxing Huang, Optics Express
- Fabry-Perot interferometric sensor demodulation system utilizing multi-peak wavelength tracking and neural network algorithm, Shengchao Chen, Feifan Yao, Sufen Ren, Jianli Yang, Qian Yang, Shuyu Yuan, Guanjun Wang, Mengxing Huang, Optics Express
- Reconstruction of Fabry-Perot interferometric sensor spectrum from extremely sparse sampling points using dense neural network, Shengchao Chen, Sufen Ren, Jianli Yang, Feifan Yao, Qian Yang, Lu Wang, Guanjun Wang, Mengxing Huang, IEEE Photonics Technology Letters
- Collaborative photonic crystal fiber property optimization: A new paradigm for reverse design, Shengchao Chen, Xinchen Wang, Sufen Ren, Jianli Yang, Yaqian Zhang, Guanjun Wang, IEEE Photonics Technology Letters
- High-performance and low-cost FBG strain sensor demodulation system assisted by artificial neural network algorithm, Shengchao Chen, Feifan Yao, Sufen Ren, Jianli Yang, Qian Yang, Guanjun Wang, Mengxing Huang, Optical Fiber Sensors
- Improvement of fiber Bragg grating wavelength demodulation system by cascading generative adversarial network and dense neural network, Shuna Li, Sufen Ren, Shengchao Chen (Corresponding Author), Benguo Yu, Applied Science
- Semi-supervised deep learning model for efficient computation of optical properties of suspended-core fibers, Gao Wang, Sufen Ren, Shuna Li, Shengchao Chen (Corresponding Author), Benguo Yu, Sensors
- Dual-parameter demodulation of fbg-fpi cascade sensors via sparse samples: A deep learning-based perspective, Haoyang Xu, Shengchao Chen (mentor), Sufen Ren, Xuan Hou, Guanjun Wang, Chong Shen, IEEE Sensors Journal
- High-efficiency FBG array sensor interrogation system via a neural network working with sparse data, Sufen Ren, Shengchao Chen (mentor), Jianli Yang, Jiahao Wang, Qian Yang, Chenyang Xue, Guanjun Wang, Mengxing Huang, Optics Express
- Fabrication and Demodulation for Sensitivity Enhanced Fiber Fabry-Perot Sensor based on Hookean Effect, Qian Yang, Shengchao Chen (mentor), Zilu Liu, Lei Liu, Sen Zhang, Sufen Ren, Longtao Lv, Guanjun Wang, Chong Shen, IEEE Sensors Journal
- High Resolution Spectrum Reconstruction of Cascaded FBG-FPI Sensor In Resource-constrained Environments, Haoyang Xu, Shengchao Chen (mentor), Sufen Ren, Xuan Hou, Hong Peng, Guanjun Wang, Yaqian Zhang, IEEE Sensors Journal
- Curvature sensing via symmetric fiber ball MZI and neural network with sparse data, Qian Yang, Lei Zhou, Rui Li, ShuaiCheng Liu, LongTao Lv, ShengChao Chen, SuFen Ren, Guanjun Wang, Chong Shen, Optical Fiber Technology
- Neural network-based FBG array sensor demodulation system with sparse data, Sufen Ren, Shengchao Chen (mentor), Haoyang Xu, Xuan Hou, Guanjun Wang, Mengxing Huang, 2023 21st International Conference on Optical Communications and Networks (ICOCN)
- A distributed photonic crystal fiber reverse design framework based on multi-source knowledge fusion, Sufen Ren, Shengchao Chen (mentor), Jiahao Wang, Haoyang Xu, Xuan Hou, Mengxing Huang, Jianxun Liu, Guanjun Wang, Optical Fiber Technology
- Unsupervised representation learning-based spectrum reconstruction for demodulation of Fabry-Perot interferometer sensor, Sufen Ren, Shengchao Chen (mentor), Haoyang Xu, Xuan Hou, Qian Yang, Guanjun Wang, Chong Shen, IEEE Sensors Journal
- Efficient calculation of optical properties of suspended-core fiber via a machine learning algorithm, Shuyu Yuan, Shengchao Chen (co-first), Jianli Yang, Qian Yang, Sufen Ren, Guanjun Wang, Benguo Yu, Applied Optics
🎖 Honors and Awards
- 2023.06 Outstanding Master’s Thesis (1st place), Hainan University, China.
- 2023.03 Full Scholarship for Ph.D. Student, University of Technology Sydney, Australia.
- 2023.05 Outstanding Graduates, Hainan University, China.
- 2022.10 National Scholarship (Top 0.1%, 1/1218), Ministrt of Education, China.
- 2022.09 Outstanding Graduate Student, Hainan University, China.
📖 Educations
- 2023.07 - present, Computer Science, University of Technology Sydney, Australia.
- 2020.09 - 2023.06, Information and Communication Engineering, Hainan University, China. (Outstanding Graduates, 1st)
- 2016.09 - 2020.06, Communication Engineering, Jiangxi University of Science and Technology, China.
💻 Internships
- 2023.06 - 2024.02, Remote research adviser, Hainan University, China.
- 2023.03 - 2024.06, Research Intern, Guangdong-Hong Kong-Macao Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting, China.
- 2022.03 - 2023.01, Research Intern, Guangdong-Hong Kong-Macao Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting, China.
- 2021.07 - 2021.10, Research Intern, Guangdong-Hong Kong-Macao Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting, China.
🧱 Services
Reviewer / Program Committee Member:
Journal
- IEEE Transactions on Neural Network and Learning Systems
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Sensors Journal
- IEEE Information System
- Knowledge-Based Systems
- Artificial Intelligence In Medicine
- Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Conferece
- NeurIPS (2023, 2024)
- ICLR (2024, 2025)
- ICML (2024)
- IJCAI (2023, 2024)
- CVPR (2023, 2024)
- ECCV (2023, 2024)
- ICASSP (2025)
- AISTATS (2025)
- FL@IJCAI (2023)
- FL@WWW (2024)
Membership:
- Institute of Electrical and Electronics Engineers, IEEE (Student Mebmber’21 -> Member’23) (I am no longer a member because I am not renewing my membership.)
- Optical Society of America, OSA (Member’21) (I am no longer a member because I am not renewing my membership.)