About Zhuo Yang Zhuo Yang Ph.D. Student, Computer Science machine learning data mining Zhuo Yang is a Ph.D. student in Computer Science program at Machine Intelligence and kNowledge Engineering (MINE) Laboratory under the supervision of Professor Xiangliang Zhang at King Abdullah University of Science and Technology (KAUST). Research Interests Zhuo's research interests include machine learning and data mining. Education Profile B. E., Computer Science, Nankai University, China, 2014. M. E., Computer Science, Nankai University, China, 2017. Events Presented Events Mar 27 - Apr 2, 2022 To Encourage or to Restrict: the Label Dependency in Multi-Label Learning Zhuo Yang, Ph.D. Student, Computer Science Mar 30, 17:30 - 19:30 KAUST machine learning data mining Multi-label learning addresses the problem that one instance can be associated with multiple labels simultaneously. More or less, these labels are usually dependent on each other in different ways. Understanding and exploiting the Label Dependency (LD) is well-accepted as the key to build high-performance multi-label classifiers, i.e., classifiers having abilities including but not limited to generalizing well on clean data and being robust under evasion attack.
To Encourage or to Restrict: the Label Dependency in Multi-Label Learning Zhuo Yang, Ph.D. Student, Computer Science Mar 30, 17:30 - 19:30 KAUST machine learning data mining Multi-label learning addresses the problem that one instance can be associated with multiple labels simultaneously. More or less, these labels are usually dependent on each other in different ways. Understanding and exploiting the Label Dependency (LD) is well-accepted as the key to build high-performance multi-label classifiers, i.e., classifiers having abilities including but not limited to generalizing well on clean data and being robust under evasion attack.
