Courses and Tutorials

Courses in CS@VT

• CS 4104: Data and Algorithm Analysis. 2025 Fall
• CS 5624: Natural Language Processing. 2024 Fall, 2023 Fall, 2026 Spring
• CS 5814: Introduction to Deep Learning. 2025 Spring, 2023 Spring
• CS 6804: Trustworthiness of Large Language Models. 2024 Spring

Conference Tutorials

• [ISMB 2026] Large Language Models and Agentic AI for Biomedical Informatics. Mark Gerstein, Xiangru Tang, Wenqi Shi, Xuan Wang.
• [ACL 2026] Towards Effective and Efficient Multi-Agent Language Model Systems: Foundations, Prospects, and Applications. Xuan Wang, Shuxiang Cao, Yuchen Zhuang, Wenqi Shi.
• [ICDM 2025] AI-Driven Multimodal Frameworks for Healthcare Decision-Making. Jiaming Cui, Xuan Wang, Zhe Zeng, Hongru Du.
• [AAAI 2025] AI for Science in the Era of Large Language Models. Xuan Wang.
• [EMNLP 2024] AI for Science in the Era of Large Language Models. Zhenyu Bi, Minghao Xu, Jian Tang, and Xuan Wang.
• [KDD 2022] New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. Xuan Wang, Hongwei Wang, Heng Ji, and Jiawei Han.
• [WWW 2022] Modern Natural Language Processing Techniques for Scientific Web Mining: Tasks, Data, and Tools. Xuan Wang, Hongwei Wang, Heng Ji, and Jiawei Han.