Hanzi Mao

I am a research scientist at Facebook AI Research (FAIR), where I work on computer vision and machine learning. I obtained my Ph.D. in Computer Science working with Nick Duffield at Texas A&M University.

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Exploring Plain Vision Transformer Backbones for Object Detection
Yanghao Li, Hanzi Mao, Ross Girshick†, Kaiming He†
arXiv, 2022

A plain, non-hierarchical Vision Transformer (ViT) as a backbone network for object detection.

A ConvNet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
CVPR, 2022
paper / code

A pure ConvNet model constructed entirely from standard ConvNet modules. ConvNeXt is accurate, efficient, scalable and very simple in design.

Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis
Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak Mohanty
ICDM, 2020
paper / code

A novel semi-supervised attention-based deep representation model that learns context-aware spatiotemporal representations for prediction tasks.

Gap Filling of High- Resolution Soil Moisture for SMAP/Sentinel-1: A Two-layer Machine Learning-based Framework
Hanzi Mao, Dhruva Kathuria, Nick Duffield, Binayak Mohanty
Water Resources Research, 2019
paper / code

A new gap‐filled soil moisture product to address the poor spatial and temporal coverage of the SMAP/Sentinel‐1 product.

Erdös number = 3