About
The Machine Intelligence and Data Science (MINDS) Lab conducts cutting-edge research in machine learning, deep learning, and data mining to advance our society. The lab specializes in areas such as graph machine learning, large language models, and multi-modal learning, applying these techniques to address societal challenges in healthcare, social media, science, and other fields. Current research efforts are centered on developing resource-efficient learning (in data, models, and systems) and ensuring safe learning practices that are robust, fair, and interpretable. The lab's works are primarily published in leading conferences for data science (e.g., KDD, WWW, WSDM, ICDM, CIKM, SDM), machine learning (e.g., ICML, NeurIPS, ICLR), artificial intelligence (e.g., AAAI, IJCAI, UAI), and natural language processing (e.g., EMNLP).