Courses and Tutorials

Courses in CS@VT

• CS 4104: Data and Algorithm Analysis. 2025 Fall
• CS 5624: Natural Language Processing. 2024 Fall, 2023 Fall
• CS 5814: Introduction to Deep Learning. 2025 Spring, 2023 Spring
• CS 6804: Trustworthiness of Large Language Models. 2024 Spring

PhD Qualifier Exams in CS@VT

• 2025 PhD Qualifier Exam: Data/ML/AI

Conference Tutorials

• Towards Effective and Efficient Multi-Agent Language Model Systems: Foundations, Prospects, and Applications. Xuan Wang, Shuxiang Cao, Yuchen Zhuang, Wenqi Shi. ACL 2026.
• AI-Driven Multimodal Frameworks for Healthcare Decision-Making. Jiaming Cui, Xuan Wang, Zhe Zeng, Hongru Du. ICDM 2025.
• AI for Science in the Era of Large Language Models. Xuan Wang. AAAI 2025.
• AI for Science in the Era of Large Language Models. Zhenyu Bi, Minghao Xu, Jian Tang, and Xuan Wang. EMNLP 2024.
• New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. Xuan Wang, Hongwei Wang, Heng Ji, and Jiawei Han. KDD 2022.
• Modern Natural Language Processing Techniques for Scientific Web Mining: Tasks, Data, and Tools. Xuan Wang, Hongwei Wang, Heng Ji, and Jiawei Han. WWW 2022.
• Taming Unstructured Big Data: Automated Information Extraction from Massive Text. Xuan Wang, Yu Zhang, Qi Li, and Jiawei Han. BigData 2019.