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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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Mutual Graph Learning for Camouflaged Object Detection

Apr 03, 2021
Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan

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Mask-GVAE: Blind Denoising Graphs via Partition

Feb 08, 2021
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng

* 11 pages, 6 figures, 4 tables, In Proceedings of the Web Conference 2021 

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Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation

Jan 15, 2021
Mudit Chaudhary, Borislav Dzodzo, Sida Huang, Chun Hei Lo, Mingzhi Lyu, Lun Yiu Nie, Jinbo Xing, Tianhua Zhang, Xiaoying Zhang, Jingyan Zhou, Hong Cheng, Wai Lam, Helen Meng

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Graph Autoencoders with Deconvolutional Networks

Dec 22, 2020
Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins

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Dirichlet Graph Variational Autoencoder

Oct 09, 2020
Jia Li, Tomasyu Yu Jiajin Li, Honglei Zhang, Kangfei Zhao, YU Rong, Hong Cheng

* Inproceedings of NeurIPS 2020 

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Cascade Graph Neural Networks for RGB-D Salient Object Detection

Aug 07, 2020
Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu

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Joint Embedding in Named Entity Linking on Sentence Level

Feb 12, 2020
Wei Shi, Siyuan Zhang, Zhiwei Zhang, Hong Cheng, Jeffrey Xu Yu

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Hybrid Graph Neural Networks for Crowd Counting

Jan 31, 2020
Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng

* To appear in AAAI 2020 

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Adversarial Attack on Community Detection by Hiding Individuals

Jan 22, 2020
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang

* In Proceedings of The Web Conference 2020, April 20-24, 2020, Taipei, Taiwan. 11 pages 

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Place Clustering-based Feature Recombination for Visual Place Recognition

Jul 26, 2019
Qiang Zhai, Hong Cheng, Rui Huang, Huiqin Zhan

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Predicting Path Failure In Time-Evolving Graphs

May 21, 2019
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan

* Accepted by KDD2019 Research track (oral presentation) 

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Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

Apr 10, 2019
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, Junzhou Huang

* 12 pages, WWW-2019 

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Link Prediction via Matrix Completion

Jun 23, 2016
Ratha Pech, Dong Hao, Liming Pan, Hong Cheng, Tao Zhou

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Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning

Jan 16, 2016
Fanhua Shang, James Cheng, Hong Cheng

* 18 pages, 10 figures 

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Global and Local Structure Preserving Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection

Oct 19, 2015
Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz

* 32 page, 6 figures and 60 references 

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Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model

Mar 07, 2015
Linxiao Yang, Jun Fang, Hong Cheng, Hongbin Li

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Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations

Sep 03, 2014
Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng

* 28 pages, 9 figures 

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An Efficient Two-Stage Sparse Representation Method

Jul 25, 2014
Chengyu Peng, Hong Cheng, Manchor Ko

* 21 pages, 2 figures, 4 tables 

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