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GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search


Aug 18, 2022
Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Jun Zhou, Qinghua Zheng, Minnan Luo

* accepted at CIKM2022 

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Ask Question First for Enhancing Lifelong Language Learning


Aug 17, 2022
Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou, Qingwei Zhao

* This paper has been accepted for publication at COLING 2022 

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SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation


Aug 17, 2022
Haoran Pan, Jun Zhou, Yuanpeng Liu, Xuequan Lu, Weiming Wang, Xuefeng Yan, Mingqiang Wei


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AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach


Aug 17, 2022
Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo

* 12 pages, 7 figures 

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Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce


Jul 27, 2022
Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang

* Accepted by ICDE 2022 

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Agriculture-Vision Challenge 2022 -- The Runner-Up Solution for Agricultural Pattern Recognition via Transformer-based Models


Jun 23, 2022
Zhicheng Yang, Jui-Hsin Lai, Jun Zhou, Hang Zhou, Chen Du, Zhongcheng Lai

* CVPR 2022, Agriculture-Vision Challenge, Remote Sensing 

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BadDet: Backdoor Attacks on Object Detection


May 28, 2022
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou


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RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning


May 22, 2022
Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou

* This paper has been accepted for publication at IJCNN 2022 on IEEE WCCI 2022; Oral presentation 

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KGNN: Distributed Framework for Graph Neural Knowledge Representation


May 17, 2022
Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi


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Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings


Apr 07, 2022
Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang

* Accepted to IEEE Security & Privacy 2022 

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