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

Frustratingly Easy Transferability Estimation


Jun 17, 2021
Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang

Figure 1 for Frustratingly Easy Transferability Estimation
Figure 2 for Frustratingly Easy Transferability Estimation
Figure 3 for Frustratingly Easy Transferability Estimation
Figure 4 for Frustratingly Easy Transferability Estimation

  Access Paper or Ask Questions

PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels


Jun 14, 2021
Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang

Figure 1 for PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels
Figure 2 for PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels
Figure 3 for PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels
Figure 4 for PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels
* 16 pages, 3 figures 
  Access Paper or Ask Questions

Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations


Jun 05, 2021
Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang

Figure 1 for Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations
Figure 2 for Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations
Figure 3 for Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations
Figure 4 for Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations

  Access Paper or Ask Questions

EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models


May 31, 2021
Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang

Figure 1 for EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models
Figure 2 for EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models
Figure 3 for EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models
Figure 4 for EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models
* 18 pages, 12 figures 
  Access Paper or Ask Questions

tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement


May 30, 2021
Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang

Figure 1 for tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement
Figure 2 for tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement
Figure 3 for tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement
Figure 4 for tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement
* 28 pages, 9 figures 
  Access Paper or Ask Questions

Learning Graphon Autoencoders for Generative Graph Modeling


May 29, 2021
Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo

Figure 1 for Learning Graphon Autoencoders for Generative Graph Modeling
Figure 2 for Learning Graphon Autoencoders for Generative Graph Modeling
Figure 3 for Learning Graphon Autoencoders for Generative Graph Modeling
Figure 4 for Learning Graphon Autoencoders for Generative Graph Modeling

  Access Paper or Ask Questions

Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge


May 26, 2021
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang

Figure 1 for Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge
Figure 2 for Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge
Figure 3 for Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge
Figure 4 for Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge
* Journal extension of GF-Attack. arXiv admin note: text overlap with arXiv:1908.01297 
  Access Paper or Ask Questions

Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation


May 23, 2021
Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang

Figure 1 for Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
Figure 2 for Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
Figure 3 for Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
Figure 4 for Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
* 10 pages, 4 figures 
  Access Paper or Ask Questions

tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement


May 22, 2021
Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang

Figure 1 for tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement
Figure 2 for tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement
Figure 3 for tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement
Figure 4 for tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement
* 27 pages, 9 figures 
  Access Paper or Ask Questions

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