Xiaolin HU

Xiaolin HU is an Associate Professor in the Department of Computer Science and Technology at Tsinghua University. Her research focuses on artificial neural networks and computational neuroscience. She has published over 100 papers in international journals and conferences, with more than 20,000 citations. Her work includes adversarial attack and defense of deep learning models, as well as brain-inspired computational models. She collaborates with neuroscientists to simulate physiological functions of animal brains and unravel the neural wiring diagram of the mouse brain. She teaches courses such as Introduction to Deep Learning and Neural and Cognitive Computation.

Xiaolin Hu is an Associate Professor of Computer Science and Technology at Tsinghua University, specializing in artificial neural networks and computational neuroscience. Their research focuses on advancing deep learning techniques through innovative architectures and robustness against adversarial attacks. Key contributions include the development of selective kernel networks, generalized focal loss for object detection, and methods for improving visual tracking and semantic feature learning. Hu's work also explores adversarial defense mechanisms, knowledge distillation, and neural network optimization. Their research bridges theoretical insights in computational neuroscience with practical applications in computer vision and machine learning.