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Dr Tianjin Huang (University of Exeter, UK)Dr. Tianjin Huang is a Lecturer in Computer Science at the University of Exeter. His research expertise includes model robustness, model efficiency, large language models (LLMs), graph neural networks (GNNs). His current research focuses on developing innovative methods to achieve efficiency and robustness in large-scale models, including LLMs and multimodal models. He has published over 25 research papers within these areas in prestigious AI conferences and journals such as ICML, NeurIPS, ICLR, LoG, and Information Fusion. He received the Best Paper Award at the inaugural Learning on Graphs (LoG) Conference in 2022. His work aims to drive innovation in scalable AI systems and contribute to the development of trustworthy and efficient intelligent systems.
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