Technical Sharing Session on Multimodal Safety

Dr. Tianwei Zhang is currently an Associate Professor at College of Computing and Data Science, Nanyang Technological University, Singapore. He is the Deputy Director of Cyber Security Research Centre @ NTU, and Associate Director of NTU Centre Computational Technologies for Finance.

He received his Bachelor’s degree at Peking University in 2011, and Ph.D degree at Princeton University in 2017.

He has been involved in the organization committee of numerous technical conferences. He serves on the editorial board of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) since 2021, and receives the best editor award in 2023. His research focuses on building efficient and trustworthy computer systems.

He has published more than 150 papers in top-tier security, AI, and system conferences and journals. He has received several research awards, including Distinguished Paper Award @ ASPLOS’23, Distinguished Paper Award @ ACL’24, Distinguished Artifact Award @ Usenix Security’24, Distinguished Artifact Award @ CCS’24.

Dr. Huazhu Fu is a Principal Scientist at the Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore. His research focuses on Medical Image Analysis, AI for Healthcare, and Trustworthy AI, with over 300 publications in leading conferences and prestigious journals, including Nature Machine Intelligence, Nature Communications, Cell Reports Medicine, and IEEE TPAMI.

His work has garnered more than 29,000 citations on Google Scholar. Dr. Fu has received numerous accolades, including Best Paper Awards at ICME 2021, MICCAI-OMIA 2022, MICCAI-DeCAF 2023, and MICCAI-OMIA 2024. He has been recognized as a "Highly Cited Researcher" by Clarivate in 2024 and among the "Top 2% Scientists Worldwide" by Stanford/Elsevier since 2020. He serves as an Associate Editor for several distinguished journals: IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Pattern Recognition (PR), IEEE Transactions on Artificial Intelligence (TAI), and IEEE Journal of Biomedical and Health Informatics (JBHI).

Additionally, he co-chairs the "Students & Young Professionals" Subcommittee of the IEEE Bio Imaging and Signal Processing Technical Committee (BISP TC).

Yiran is currently a Ph.D. candidate at the National University of Singapore, advised by Prof. Kenji Kawaguchi. His research focuses on efficiency, multilingualism, reasoning, and safety in large language models.

He has published multiple first-author papers in top-tier AI conferences, including ICLR, NeurIPS, ACL, EMNLP, and NAACL. He has also led the model training for Babel, an open multilingual LLM serving over 90% of global speakers, and the base model training for SeaLLMs-v3, a model specialized in Southeast Asian languages.

He regularly serves as a reviewer for major AI conferences and has worked as a research intern in industry labs, including Alibaba DAMO Academy and Salesforce Research.

Dr. Zhang Jie received his Ph.D. in 2022 from the University of Science and Technology of China (USTC). He is currently a Research Scientist and Innovation Lead at the Center for Frontier AI Research (CFAR), under the Agency for Science, Technology and Research (A*STAR), Singapore.

Prior to this, he was a research fellow at Nanyang Technological University.

His research interests focus on IP protection for AI, trustworthy generative AI, and AI regulation.