Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Junzhou Huang

Junzhou Huang

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks


Apr 14, 2021
Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr

Figure 1 for FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Figure 2 for FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Figure 3 for FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Figure 4 for FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
* The first three authors contribute equally. Our shorter versions are accepted to ICLR 2021 Workshop on Distributed and Private Machine Learning(DPML) and MLSys 2021 GNNSys Workshop on Graph Neural Networks and Systems 
  Access Paper or Ask Questions

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search


Apr 08, 2021
Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang

Figure 1 for QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search
Figure 2 for QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search
Figure 3 for QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search
Figure 4 for QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search
* 12 pages 
  Access Paper or Ask Questions

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation


Apr 07, 2021
Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison

Figure 1 for Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Figure 2 for Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Figure 3 for Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Figure 4 for Deep Implicit Statistical Shape Models for 3D Medical Image Delineation

  Access Paper or Ask Questions

Recognizing Predictive Substructures with Subgraph Information Bottleneck


Mar 20, 2021
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He

Figure 1 for Recognizing Predictive Substructures with Subgraph Information Bottleneck
Figure 2 for Recognizing Predictive Substructures with Subgraph Information Bottleneck
Figure 3 for Recognizing Predictive Substructures with Subgraph Information Bottleneck
Figure 4 for Recognizing Predictive Substructures with Subgraph Information Bottleneck
* arXiv admin note: substantial text overlap with arXiv:2010.05563 
  Access Paper or Ask Questions

Diversified Multiscale Graph Learning with Graph Self-Correction


Mar 17, 2021
Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang

Figure 1 for Diversified Multiscale Graph Learning with Graph Self-Correction
Figure 2 for Diversified Multiscale Graph Learning with Graph Self-Correction
Figure 3 for Diversified Multiscale Graph Learning with Graph Self-Correction
Figure 4 for Diversified Multiscale Graph Learning with Graph Self-Correction

  Access Paper or Ask Questions

Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets


Feb 27, 2021
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

Figure 1 for Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Figure 2 for Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Figure 3 for Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Figure 4 for Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
* 8 pages 
  Access Paper or Ask Questions

Towards Accurate and Compact Architectures via Neural Architecture Transformer


Feb 20, 2021
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang

Figure 1 for Towards Accurate and Compact Architectures via Neural Architecture Transformer
Figure 2 for Towards Accurate and Compact Architectures via Neural Architecture Transformer
Figure 3 for Towards Accurate and Compact Architectures via Neural Architecture Transformer
Figure 4 for Towards Accurate and Compact Architectures via Neural Architecture Transformer
* Extension of NAT 
  Access Paper or Ask Questions

Learning Diverse-Structured Networks for Adversarial Robustness


Feb 08, 2021
Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama

Figure 1 for Learning Diverse-Structured Networks for Adversarial Robustness
Figure 2 for Learning Diverse-Structured Networks for Adversarial Robustness
Figure 3 for Learning Diverse-Structured Networks for Adversarial Robustness
Figure 4 for Learning Diverse-Structured Networks for Adversarial Robustness
* 26 pages, 8 figures 
  Access Paper or Ask Questions

Hierarchical Graph Capsule Network


Dec 16, 2020
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang

Figure 1 for Hierarchical Graph Capsule Network
Figure 2 for Hierarchical Graph Capsule Network
Figure 3 for Hierarchical Graph Capsule Network
Figure 4 for Hierarchical Graph Capsule Network
* AAAI 2021 
  Access Paper or Ask Questions

Deep Multimodal Fusion by Channel Exchanging


Nov 10, 2020
Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang

Figure 1 for Deep Multimodal Fusion by Channel Exchanging
Figure 2 for Deep Multimodal Fusion by Channel Exchanging
Figure 3 for Deep Multimodal Fusion by Channel Exchanging
Figure 4 for Deep Multimodal Fusion by Channel Exchanging
* NeurIPS 2020. Code and models: https://github.com/yikaiw/CEN 
  Access Paper or Ask Questions

On Self-Distilling Graph Neural Network


Nov 04, 2020
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang

Figure 1 for On Self-Distilling Graph Neural Network
Figure 2 for On Self-Distilling Graph Neural Network
Figure 3 for On Self-Distilling Graph Neural Network
Figure 4 for On Self-Distilling Graph Neural Network

  Access Paper or Ask Questions

RetroXpert: Decompose Retrosynthesis Prediction like a Chemist


Nov 04, 2020
Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang

Figure 1 for RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Figure 2 for RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Figure 3 for RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Figure 4 for RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
* 17 pages, to appear in NeurIPS 2020 
  Access Paper or Ask Questions

Graph Information Bottleneck for Subgraph Recognition


Oct 12, 2020
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He

Figure 1 for Graph Information Bottleneck for Subgraph Recognition
Figure 2 for Graph Information Bottleneck for Subgraph Recognition
Figure 3 for Graph Information Bottleneck for Subgraph Recognition
Figure 4 for Graph Information Bottleneck for Subgraph Recognition

  Access Paper or Ask Questions

Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks


Sep 23, 2020
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala, Nicholas Hawkins, Junzhou Huang

Figure 1 for Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Figure 2 for Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Figure 3 for Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Figure 4 for Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
* Medical Image Analysis, Volume 65, October 2020, 101789 
 * 22 pages, 13 figures, published in Medical Image Analysis 65, 101789 
  Access Paper or Ask Questions

Microscope Based HER2 Scoring System


Sep 15, 2020
Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han

Figure 1 for Microscope Based HER2 Scoring System
Figure 2 for Microscope Based HER2 Scoring System
Figure 3 for Microscope Based HER2 Scoring System
Figure 4 for Microscope Based HER2 Scoring System
* 11 pages, 5 figures, and 4 tables 
  Access Paper or Ask Questions

Tackling Over-Smoothing for General Graph Convolutional Networks


Sep 08, 2020
Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang

Figure 1 for Tackling Over-Smoothing for General Graph Convolutional Networks
Figure 2 for Tackling Over-Smoothing for General Graph Convolutional Networks
Figure 3 for Tackling Over-Smoothing for General Graph Convolutional Networks
Figure 4 for Tackling Over-Smoothing for General Graph Convolutional Networks
* Submitted to TPAMI, 15 pages 
  Access Paper or Ask Questions

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation


Sep 05, 2020
Ashwin Raju, Zhanghexuan Ji, Chi Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHung Liao, Adam P. Harrison

Figure 1 for User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
Figure 2 for User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
Figure 3 for User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
Figure 4 for User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

  Access Paper or Ask Questions

Rethinking and Relieving Over-Smoothing in Deep GCNs


Aug 22, 2020
Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang

Figure 1 for Rethinking and Relieving Over-Smoothing in Deep GCNs
Figure 2 for Rethinking and Relieving Over-Smoothing in Deep GCNs
Figure 3 for Rethinking and Relieving Over-Smoothing in Deep GCNs
Figure 4 for Rethinking and Relieving Over-Smoothing in Deep GCNs
* 20 pages 
  Access Paper or Ask Questions

Improving Generative Adversarial Networks with Local Coordinate Coding


Jul 28, 2020
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

Figure 1 for Improving Generative Adversarial Networks with Local Coordinate Coding
Figure 2 for Improving Generative Adversarial Networks with Local Coordinate Coding
Figure 3 for Improving Generative Adversarial Networks with Local Coordinate Coding
Figure 4 for Improving Generative Adversarial Networks with Local Coordinate Coding
* 20 pages, 5 figures 
  Access Paper or Ask Questions

Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning


Jul 26, 2020
Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li

Figure 1 for Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning
Figure 2 for Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning
Figure 3 for Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning
Figure 4 for Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning

  Access Paper or Ask Questions

Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?


Jul 12, 2020
Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang

Figure 1 for Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?
Figure 2 for Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?
Figure 3 for Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?
Figure 4 for Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?

  Access Paper or Ask Questions

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search


Jul 07, 2020
Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

Figure 1 for Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Figure 2 for Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Figure 3 for Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Figure 4 for Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

  Access Paper or Ask Questions

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis


Jul 05, 2020
Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan

Figure 1 for Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Figure 2 for Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Figure 3 for Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Figure 4 for Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
* IEEE Transactions on Image Processing 
  Access Paper or Ask Questions

GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data


Jun 18, 2020
Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang

Figure 1 for GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data
Figure 2 for GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data
Figure 3 for GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data
Figure 4 for GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data
* 17 pages, 6 figures 
  Access Paper or Ask Questions

Multi-View Graph Neural Networks for Molecular Property Prediction


Jun 12, 2020
Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang

Figure 1 for Multi-View Graph Neural Networks for Molecular Property Prediction
Figure 2 for Multi-View Graph Neural Networks for Molecular Property Prediction
Figure 3 for Multi-View Graph Neural Networks for Molecular Property Prediction
Figure 4 for Multi-View Graph Neural Networks for Molecular Property Prediction

  Access Paper or Ask Questions

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation


Jun 10, 2020
Ashwin Raju, Chi-Tung Cheng, Yunakai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHuang Liao, Adam P Harrison

Figure 1 for Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
Figure 2 for Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
Figure 3 for Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
Figure 4 for Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation
* 23 pages, 8 figures 
  Access Paper or Ask Questions

Dual Message Passing Neural Network for Molecular Property Prediction


May 29, 2020
Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang

Figure 1 for Dual Message Passing Neural Network for Molecular Property Prediction
Figure 2 for Dual Message Passing Neural Network for Molecular Property Prediction
Figure 3 for Dual Message Passing Neural Network for Molecular Property Prediction
Figure 4 for Dual Message Passing Neural Network for Molecular Property Prediction

  Access Paper or Ask Questions