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LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization


Dec 20, 2021
Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang


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Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification


Oct 30, 2021
Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou

* Accepted to EMNLP 2021 

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Pooling Architecture Search for Graph Classification


Aug 24, 2021
Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He


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TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction


Aug 20, 2021
Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei Tu


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Knowledge Graph Reasoning with Relational Directed Graph


Aug 13, 2021
Yongqi Zhang, Quanming Yao


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AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding


Jul 01, 2021
Yongqi Zhang, Zhanke Zhou, Quanming Yao


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Efficient Data-specific Model Search for Collaborative Filtering


Jun 14, 2021
Chen Gao, Quanming Yao, Depeng Jin, Yong Li

* KDD 2021 

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Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding


Apr 22, 2021
Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen

* ICDE 2021 

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Searching to Sparsify Tensor Decomposition for N-ary Relational Data


Apr 21, 2021
Shimin Di, Quanming Yao, Lei Chen

* WebConf 2021 

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Role-Aware Modeling for N-ary Relational Knowledge Bases


Apr 20, 2021
Yu Liu, Quanming Yao, Yong Li

* WWW2021 

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Search to aggregate neighborhood for graph neural network


Apr 20, 2021
Huan Zhao, Quanming Yao, Weiwei Tu

* Accepted as a long paper in ICDE 2021 

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Tensorizing Subgraph Search in the Supernet


Jan 04, 2021
Hansi Yang, Quanming Yao, James Kwok


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Decoupling Representation and Classifier for Noisy Label Learning


Nov 16, 2020
Hui Zhang, Quanming Yao


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A Survey of Label-noise Representation Learning: Past, Present and Future


Nov 09, 2020
Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama

* The draft is kept updating; any comments and suggestions are welcome 

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Graph Neural Network with Automorphic Equivalence Filters


Nov 09, 2020
Fengli Xu, Quanming Yao, Pan Hui, Yong Li


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Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration


Oct 24, 2020
Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang

* Accepted to TPAMI 

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Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding


Oct 24, 2020
Yongqi Zhang, Quanming Yao, Lei Chen

* VLDB Journal accepted. arXiv admin note: text overlap with arXiv:1812.06410 

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Propagation Model Search for Graph Neural Networks


Oct 07, 2020
Yuhui Ding, Quanming Yao, Tong Zhang

* 10 pages 

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Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering


Sep 07, 2020
Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin

* 20 pages, 7 figures, 8 tables 

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Simplifying Architecture Search for Graph Neural Network


Sep 06, 2020
Huan Zhao, Lanning Wei, Quanming Yao

* CIKM 2020 Workshop: 1st Workshop Combining Symbolic and Subsymbolic Methods and their Applications 

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Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization


Aug 22, 2020
Yaqing Wang, Quanming Yao, James T. Kwok


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Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases


Jul 08, 2020
Yu Liu, Quanming Yao, Yong Li

* WWW 2020 

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Efficient Backbone Search for Scene Text Recognition


Mar 14, 2020
Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai


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Neural Recurrent Structure Search for Knowledge Graph Embedding


Nov 17, 2019
Yongqi Zhang, Quanming Yao, Lei Chen


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Searching to Exploit Memorization Effect in Learning from Corrupted Labels


Nov 06, 2019
Hansi Yang, Quanming Yao, Bo Han, Gang Niu


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Searching for Interaction Functions in Collaborative Filtering


Jun 28, 2019
Quanming Yao, Xiangning Chen, James Kwok, Yong Li


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AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding


Jun 03, 2019
Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen


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