Zhuliang Yao
Microsoft (United States)(US)Microsoft Research Asia (China)(CN)
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Multimodal Machine Learning Applications, Human Pose and Action Recognition, Topic Modeling
Most-Cited Works
- → Swin Transformer V2: Scaling Up Capacity and Resolution(2022)2,086 cited
- → SimMIM: a Simple Framework for Masked Image Modeling(2022)1,109 cited
- → Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification(2017)381 cited
- → Disentangled Non-local Neural Networks(2020)325 cited
- → Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity(2019)179 cited
- → Cross-Iteration Batch Normalization(2021)113 cited
- → Self-Supervised Learning with Swin Transformers(2021)112 cited
- → Balanced Sparsity for Efficient DNN Inference on GPU(2019)80 cited
- → Leveraging Batch Normalization for Vision Transformers(2021)29 cited