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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

* 16 pages, 3 figures 

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A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising


Jun 11, 2021
Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu

* 10 pages 

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Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising


Jun 07, 2021
Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu

* To appear in the Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021 

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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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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

* 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

* 10 pages, 4 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

* 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

* 12 pages 

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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

* 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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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

* 26 pages, 8 figures 

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Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory


Dec 29, 2020
Yu Rong, Ziwei Liu, Chen Change Loy


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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

* 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

* 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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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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Tackling Over-Smoothing for General Graph Convolutional Networks


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

* Submitted to TPAMI, 15 pages 

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Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction


Aug 31, 2020
Yunxuan Zhang, Yu Rong, Ziwei Liu, Cheng Cheng

* The code and data is available at https://github.com/pixel-face/Pixel-Face 

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Rethinking and Relieving Over-Smoothing in Deep GCNs


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

* 20 pages 

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FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration


Aug 19, 2020
Yu Rong, Takaaki Shiratori, Hanbyul Joo

* Demo, Code and Models are available at https://penincillin.github.io/frank_mocap 

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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


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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

* 17 pages, 6 figures 

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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


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Leveraging TSP Solver Complementarity via Deep Learning


Jun 01, 2020
Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu


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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


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Spectral Graph Attention Network


Mar 16, 2020
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu


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