Minghao Xu

verfied profile

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Shanghai Jiao Tong University

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Midea

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Université de Montréal

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Montréal Institute of Learning Algorithms

I'm currently a second-year master student at Shang Jiao Tong University, and I'll join Mila (Quebec AI Institute) at 2022 Winter as a PhD student.

research

∙ 05/26/2022

HIRL: A General Framework for Hierarchical Image Representation Learning

Learning self-supervised image representations has been broadly studied ...

Minghao Xu, et al. ∙

research

∙ 05/25/2022

Spotlights: Probing Shapes from Spherical Viewpoints

Recent years have witnessed the surge of learned representations that di...

Jiaxin Wei, et al. ∙

research

∙ 03/11/2022

Protein Representation Learning by Geometric Structure Pretraining

Learning effective protein representations is critical in a variety of t...

Zuobai Zhang, et al. ∙

research

∙ 02/16/2022

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

Machine learning has huge potential to revolutionize the field of drug d...

Zhaocheng Zhu, et al. ∙

research

∙ 02/01/2022

HCSC: Hierarchical Contrastive Selective Coding

Hierarchical semantic structures naturally exist in an image dataset, in...

Yuanfan Guo, et al. ∙

research

∙ 08/26/2021

Cross-category Video Highlight Detection via Set-based Learning

Autonomous highlight detection is crucial for enhancing the efficiency o...

Minghao Xu, et al. ∙

research

∙ 08/16/2021

PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation

Cross-domain object detection and semantic segmentation have witnessed i...

Qiqi Gu, et al. ∙

research

∙ 06/08/2021

Self-supervised Graph-level Representation Learning with Local and Global Structure

This paper studies unsupervised/self-supervised whole-graph representati...

Minghao Xu, et al. ∙

research

∙ 04/27/2021

Graphical Modeling for Multi-Source Domain Adaptation

Multi-Source Domain Adaptation (MSDA) focuses on transferring the knowle...

Minghao Xu, et al. ∙

research

∙ 07/17/2020

Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation

Transferring knowledges learned from multiple source domains to target d...

Hang Wang, et al. ∙

research

∙ 03/28/2020

Cross-domain Detection via Graph-induced Prototype Alignment

Applying the knowledge of an object detector trained on a specific domai...

Minghao Xu, et al. ∙

research

∙ 12/04/2019

Adversarial Domain Adaptation with Domain Mixup

Recent works on domain adaptation reveal the effectiveness of adversaria...

Minghao Xu, et al. ∙

research

∙ 04/03/2019

Learning Context Graph for Person Search

Person re-identification has achieved great progress with deep convoluti...

Yichao Yan, et al. ∙

Minghao Xu

Featured Co-authors

Qi Tian

Jian Zhang

Jian Tang

Yi Xu

Xiaokang Yang

Lizhuang Ma

Jianping Shi

Bingbing Ni

Qiang Zhang

Chengjie Wang

Xuequan Lu

HIRL: A General Framework for Hierarchical Image Representation Learning

Spotlights: Probing Shapes from Spherical Viewpoints

Protein Representation Learning by Geometric Structure Pretraining

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

HCSC: Hierarchical Contrastive Selective Coding

Cross-category Video Highlight Detection via Set-based Learning

PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation

Self-supervised Graph-level Representation Learning with Local and Global Structure

Graphical Modeling for Multi-Source Domain Adaptation

Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation

Cross-domain Detection via Graph-induced Prototype Alignment

Adversarial Domain Adaptation with Domain Mixup

Learning Context Graph for Person Search