Department of Computer Science, UC Berkeley
Office: 7th floor, Sutardaj Dai Hall
I am a fourth year Ph.D. student in Department of Computer Science at UC Berkeley, advised by Professor Trevor Darrell. My research focuses on computer vision and machine learning. In particular, I am interested in fine-grained categorization and leveraging deep learning methods for computer vision tasks.
Before coming to the Bay Area, I graduated from Tsinghua University with a B.S. in Computer Science in June 2010, working with Professor Jie Tang. I have spent summers at Facebook AI Research, working with Dr. Lubomir Bourdev.
Part-based R-CNNs for Fine-grained Category Detection.
Ning Zhang, Jeff Donahue, Ross Girshick, Trevor Darrell.
European Conference on Computer Vision (ECCV), 2014 (Oral)
PANDA: Pose Aligned Networks for Deep Attribute Modeling.
Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir Bourdev.
Computer Vision and Pattern Recognition (CVPR), 2014 (Oral)
Open-vocabulary Object Retrieval
Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell.
Robotics Science and Systems (RSS), 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell.
International Conference on Machine Learning (ICML), 2014
Deformable Part Descriptors for Fine-grained Recognition and Attribute Prediction
Ning Zhang, Ryan Farrell, Forrest Iandola, Trevor Darrell.
International Conference on Computer Vision (ICCV), 2013
Pose Pooling Kernels for Sub-category Recognition
Ning Zhang, Ryan Farrell, Trevor Darrell.
Computer Vision and Pattern Recognition (CVPR), 2012
Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance.
Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu, Trevor Darrell, Larry S. Davis.
International Conference on Computer Vision (ICCV), 2011 (Oral)
Head of Graduate Student Instructor, UC Berkeley (Spring 2014)
CS 189: Introduction to Machine Learning
Graduate Student Instructor, UC Berkeley (Fall 2013)
CS 188: Introduction to Aritificial Intelligence