Regular biography
Tang Siliang is a professor and doctoral supervisor at Zhejiang University, affiliated with the School of Artificial Intelligence. His research interests include natural language processing, multimodal large models, embodied intelligence, and graph neural networks. He is based at the Zhejiang University Yuyao Campus, located in Gao Guangbiao Main Building, Room 629. His contact information includes an email address siliang@zju.edu.cn, and his profile page can be accessed at https://person.zju.edu.cn/siliang.
Scholar-generated biography
Siliang Tang is a Professor of Computer Science at Zhejiang University, specializing in Natural Language Processing, Cross-media Analysis, and Graph Neural Network. His research explores the integration of graph-based methods with computer vision and multimodal learning, focusing on tasks such as video localization, image editing, and speech synthesis. He has contributed to advancing multimodal large language models, including Healthgpt and Worldgpt, which aim to unify vision-language understanding through heterogeneous knowledge adaptation. His work also addresses challenges in hallucination mitigation and temporal reasoning in video data, reflecting a strong emphasis on cross-modal representation learning and robust model training.