協助發展統計、machine learning & AI(LLM)等計算方法,應用於predicting drug responses of cancer patients, uncovering biomarkers for immunotherapy (免疫治療), via analyzing genomics data, gene expression and omics data, etc.
【參考網站】http://staff.stat.sinica.edu.tw/gshieh/
參與電腦視覺、人工智慧與機器學習相關研究,目前本實驗室的研究聚焦於開發deep learning架構與演算法在電腦視覺的應用。研究重點如下: (1) Generative Computer Vision Techniques; (2) Image and Video Anomaly Detection and Localization; (3) Computer Vision Techniques for 3D Point Clouds; (4) Video Action and Activity Recognition; (5) Multimodal/VL Foundation Models Inspired Computer Vision Techniques; (6) Self-Supervised Learning for Computer Vision Applications; (7) Deepfake Detection & Security; and (8) Federated Learning Algorithms and Optimization。
We are looking for a postdoctoral researcher to work on one of the following existing topics:
- Verification of storage systems
- Automatic quantum program verification.
Or form new research projects in the following directions.
- Verification of block-chain/smart contract implementation/algorithms
- Verification/testing of machine learning-enabled systems
- Other topics that might meet the research interest of Dr. Yu-Fang Chen (http://iis.sinica.edu.tw/~yfc)