About Jun Chen Jun Chen Ph.D. Student, Computer Science machine learning neural network bioinformatics Knowledge representation and reasoning Jun Chen is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Mohamed Elhoseiny at King Abdullah University of Science and Technology (KAUST). Education and Early Career Jun obtained his bachelor's degree in Computer Science from Xi’an Jiaotong-Liverpool University in China, 2018. He joined KAUST as a Master student under the supervision of Prof. Robert Hoehndorf and received his master's degree in Computer Science in 2019. Research Interests Jun's research interests include machine learning, artificial intelligence, natural language processing, knowledge Events Presented Events Nov 12 - Nov 18, 2023 Efficient Algorithms for Vision and Language Learning Jun Chen , Ph.D. Student, Computer Science Nov 14, 12:15 - 14:15 B1 L3 R3426 The development of advanced vision-language models necessitates considerable resources, both in terms of computation and data. There is growing interest in training these models efficiently and effectively and leveraging them for various downstream tasks. This dissertation presents several contributions aimed at improving both learning and data efficiency in vision-language learning, and how to leverage them into downstream tasks.
Efficient Algorithms for Vision and Language Learning Jun Chen , Ph.D. Student, Computer Science Nov 14, 12:15 - 14:15 B1 L3 R3426 The development of advanced vision-language models necessitates considerable resources, both in terms of computation and data. There is growing interest in training these models efficiently and effectively and leveraging them for various downstream tasks. This dissertation presents several contributions aimed at improving both learning and data efficiency in vision-language learning, and how to leverage them into downstream tasks.
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