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Junzhou Huang

Local Augmentation for Graph Neural Networks


Sep 08, 2021
Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu

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* 16 pages, 5 figures 
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TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation


Aug 12, 2021
Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang

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* 9 pages 
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Frustratingly Easy Transferability Estimation


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

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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

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* 16 pages, 3 figures 
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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

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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

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* 18 pages, 12 figures 
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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

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* 28 pages, 9 figures 
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Learning Graphon Autoencoders for Generative Graph Modeling


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

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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

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* Journal extension of GF-Attack. arXiv admin note: text overlap with arXiv:1908.01297 
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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

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* 10 pages, 4 figures 
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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

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* 27 pages, 9 figures 
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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

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* 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 
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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

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* 12 pages 
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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

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Recognizing Predictive Substructures with Subgraph Information Bottleneck


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

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* arXiv admin note: substantial text overlap with arXiv:2010.05563 
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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

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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

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* 8 pages 
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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

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* Extension of NAT 
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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

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* 26 pages, 8 figures 
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Hierarchical Graph Capsule Network


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

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* AAAI 2021 
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Deep Multimodal Fusion by Channel Exchanging


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

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* NeurIPS 2020. Code and models: https://github.com/yikaiw/CEN 
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On Self-Distilling Graph Neural Network


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

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RetroXpert: Decompose Retrosynthesis Prediction like a Chemist


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

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* 17 pages, to appear in NeurIPS 2020 
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Graph Information Bottleneck for Subgraph Recognition


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

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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

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* Medical Image Analysis, Volume 65, October 2020, 101789 
 * 22 pages, 13 figures, published in Medical Image Analysis 65, 101789 
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Microscope Based HER2 Scoring System


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

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* 11 pages, 5 figures, and 4 tables 
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