Yizhou Yu

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Association for Computing Machinery

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Zhejiang University

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The University of Hong Kong

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Columbia University

Professor at The University of Hong Kong, Adjunct Professor at University of Illinois at Urbana-Champaign from 2012-2016, Assistant/Associate Professor at University of Illinois at Urbana-Champaign from 2000-2012, Visiting Researcher at Microsoft Research Asia 2008, PhD degree in computer science from the computer vision group at University of California, Berkeley, 2002 US National Science Foundation CAREER Award, 2007 NNSF China Overseas Distinguished Young Investigator Award, 2011 and 2005 ACM SCA Best Paper Awards, and 1998 Microsoft Graduate Fellowship.

Featured Co-authors

Yang Liu
344 publications
Lei Zhang
319 publications
Jun Wang
272 publications
Yang Wang
187 publications
Yue Wang
185 publications
Liang Lin
184 publications
Xiaodan Liang
149 publications
Ping Luo
120 publications
Zhe Wang
109 publications
Ping Li
108 publications
Feng Liu
93 publications

∙ 04/21/2022

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification

Due to its safety-critical property, the image-based diagnosis is desire...

Churan Wang, et al. ∙

∙ 03/29/2022

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

Synthesizing a subject-specific pathology-free image from a pathological...

Yunlong Zhang, et al. ∙

∙ 03/24/2022

Compound Domain Generalization via Meta-Knowledge Encoding

Domain generalization (DG) aims to improve the generalization performanc...

Chaoqi Chen, et al. ∙

∙ 03/23/2022

Scale-Equivalent Distillation for Semi-Supervised Object Detection

Recent Semi-Supervised Object Detection (SS-OD) methods are mainly based...

Qiushan Guo, et al. ∙

∙ 03/17/2022

Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

This paper presents new hierarchically cascaded transformers that can im...

Yangji He, et al. ∙

∙ 02/22/2022

PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds

Semantic segmentation of point cloud usually relies on dense annotation ...

Yushuang Wu, et al. ∙

∙ 01/31/2022

BOAT: Bilateral Local Attention Vision Transformer

Vision Transformers achieved outstanding performance in many computer vi...

Tan Yu, et al. ∙

∙ 01/25/2022

Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit

Automatic detection of polyps is challenging because different polyps va...

Jianwei Xu, et al. ∙

∙ 01/07/2022

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Recent advances in machine learning and prevalence of digital medical im...

Dingwen Zhang, et al. ∙

∙ 01/05/2022

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

The difficulties in both data acquisition and annotation substantially r...

Shu Zhang, et al. ∙

∙ 11/04/2021

Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports

Pre-training lays the foundation for recent successes in radiograph anal...

Hong-Yu Zhou, et al. ∙

∙ 10/11/2021

Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images

Quantitative estimation of the acute ischemic infarct is crucial to impr...

Kongming Liang, et al. ∙

∙ 10/08/2021

Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition

Context, as referred to situational factors related to the object of int...

Mingzhou Liu, et al. ∙

∙ 09/07/2021

nnFormer: Interleaved Transformer for Volumetric Segmentation

Transformers, the default model of choices in natural language processin...

Hong-Yu Zhou, et al. ∙

∙ 08/24/2021

Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System

Respiratory diseases, including asthma, bronchitis, pneumonia, and upper...

Gang Yu, et al. ∙

∙ 08/18/2021

ME-PCN: Point Completion Conditioned on Mask Emptiness

Point completion refers to completing the missing geometries of an objec...

Bingchen Gong, et al. ∙

∙ 08/16/2021

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Brain lesion segmentation provides a valuable tool for clinical diagnosi...

Xinru Zhang, et al. ∙

∙ 08/02/2021

GraphFPN: Graph Feature Pyramid Network for Object Detection

Feature pyramids have been proven powerful in image understanding tasks ...

Gangming Zhao, et al. ∙

∙ 07/31/2021

Multi-scale Matching Networks for Semantic Correspondence

Deep features have been proven powerful in building accurate dense seman...

Dongyang Zhao, et al. ∙

∙ 06/13/2021

Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation

Medical imaging datasets usually exhibit domain shift due to the variati...

Chenxin Li, et al. ∙

∙ 05/31/2021

Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation

The analysis of organ vessels is essential for computer-aided diagnosis ...

Chenxin Li, et al. ∙

∙ 05/21/2021

Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection

Mammogram mass detection is crucial for diagnosing and preventing the br...

Yuhang Liu, et al. ∙

∙ 05/01/2021

Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering

Due to the severe lack of labeled data, existing methods of medical visu...

Haifan Gong, et al. ∙

∙ 04/21/2021

A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation

Instance level detection and segmentation of thoracic diseases or abnorm...

Jie Lian, et al. ∙

∙ 04/19/2021

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation

In semi-supervised domain adaptation, a few labeled samples per class in...

Jichang Li, et al. ∙

∙ 03/30/2021

Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation

Learning by imitation is one of the most significant abilities of human ...

Hong-Yu Zhou, et al. ∙

∙ 03/25/2021

I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors

Recent works on two-stage cross-domain detection have widely explored th...

Chaoqi Chen, et al. ∙

∙ 03/24/2021

Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization

Unsupervised domain adaptation (UDA) in semantic segmentation is a funda...

Xiangru Lin, et al. ∙

∙ 03/24/2021

Scene-Intuitive Agent for Remote Embodied Visual Grounding

Humans learn from life events to form intuitions towards the understandi...

Xiangru Lin, et al. ∙

∙ 03/14/2021

Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images

Grounding referring expressions in RGBD image has been an emerging field...

Haolin Liu, et al. ∙

∙ 12/16/2020

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices

Universal lesion detection from computed tomography (CT) slices is impor...

Shu Zhang, et al. ∙

∙ 12/14/2020

Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction

Automatic blood vessel extraction from 3D medical images is crucial for ...

Jiafa He, et al. ∙

∙ 12/10/2020

Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding

Despite deep convolutional neural networks achieved impressive progress ...

Liyan Sun, et al. ∙

∙ 11/30/2020

Adaptive noise imitation for image denoising

The effectiveness of existing denoising algorithms typically relies on a...

Huangxing Lin, et al. ∙

∙ 10/23/2020

A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision

Standard segmentation of medical images based on full-supervised convolu...

Liyan Sun, et al. ∙

∙ 10/19/2020

The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results

The detection of thoracic abnormalities challenge is organized by the De...

Jie Lian, et al. ∙

∙ 10/09/2020

Contralaterally Enhanced Networks for Thoracic Disease Detection

Identifying and locating diseases in chest X-rays are very challenging, ...

Gangming Zhao, et al. ∙

∙ 10/09/2020

Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation

Analyzing the morphological attributes of blood vessels plays a critical...

Yicheng Wu, et al. ∙

∙ 09/30/2020

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

Mammogram benign or malignant classification with only image-level label...

Chu-ran Wang, et al. ∙

∙ 09/17/2020

Online Alternate Generator against Adversarial Attacks

The field of computer vision has witnessed phenomenal progress in recent...

Haofeng Li, et al. ∙

∙ 07/10/2020

Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation

Brain midline delineation can facilitate the clinical evaluation of brai...

Shen Wang, et al. ∙

∙ 06/17/2020

ChestX-det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities

Instance level detection of thoracic diseases or abnormalities are cruci...

Jingyu Liu, et al. ∙

∙ 03/11/2020

Kernel Quantization for Efficient Network Compression

This paper presents a novel network compression framework Kernel Quantiz...

Zhongzhi Yu, et al. ∙

∙ 02/27/2020

Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation

The midline related pathological image features are crucial for evaluati...

Shen Wang, et al. ∙

∙ 02/24/2020

When Relation Networks meet GANs: Relation GANs with Triplet Loss

Though recent research has achieved remarkable progress in generating re...

Runmin Wu, et al. ∙

∙ 01/22/2020

Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread

Recently deep convolutional neural networks have achieved significant su...

Haofeng Li, et al. ∙

∙ 11/23/2019

Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation

Recently 3D volumetric organ segmentation attracts much research interes...

Chaowei Fang, et al. ∙

∙ 11/23/2019

Self-Enhanced Convolutional Network for Facial Video Hallucination

As a domain-specific super-resolution problem, facial image hallucinatio...

Chaowei Fang, et al. ∙

∙ 09/18/2019

Dynamic Graph Attention for Referring Expression Comprehension

Referring expression comprehension aims to locate the object instance de...

Sibei Yang, et al. ∙

∙ 09/16/2019

Motion Guided Attention for Video Salient Object Detection

Video salient object detection aims at discovering the most visually dis...

Haofeng Li, et al. ∙