Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Advanced Neural Network Applications, Physics of Superconductivity and Magnetism, Quantum and electron transport phenomena, and Domain Adaptation and Few-Shot Learning.
Transport Properties of NbN Thin Films Patterned With a Focused Helium Ion Beam
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Long Text Generation via Adversarial Training with Leaked Information
Efficient Architecture Search by Network Transformation
Path-Level Network Transformation for Efficient Architecture Search.
International Conference on Machine Learning 2018cited by 64position: first
Product-Based Neural Networks for User Response Prediction