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A Survey of Deep Learning Models for Structural Code Understanding


May 03, 2022
Ruoting Wu, Yuxin Zhang, Qibiao Peng, Liang Chen, Zibin Zheng

* 48 pages, 4 figures 

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FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation


May 02, 2022
Yuansheng Wang, Wangbin Sun, Kun Xu, Zulun Zhu, Liang Chen, Zibin Zheng


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GUARD: Graph Universal Adversarial Defense


Apr 20, 2022
Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang

* Code is publicly available at https://github.com/EdisonLeeeee/GUARD 

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Distributed Evolution Strategies for Black-box Stochastic Optimization


Apr 09, 2022
Xiaoyu He, Zibin Zheng, Chuan Chen, Yuren Zhou, Chuan Luo, Qingwei Lin


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HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems


Apr 08, 2022
Jiezhu Cheng, Cuiyun Gao, Zibin Zheng


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MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization


Mar 15, 2022
Xiaoyu He, Zibin Zheng, Yuren Zhou

* IEEE Transactions on Evolutionary Computation, 2021, 25(2): 320-333 

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Neighboring Backdoor Attacks on Graph Convolutional Network


Jan 17, 2022
Liang Chen, Qibiao Peng, Jintang Li, Yang Liu, Jiawei Chen, Yong Li, Zibin Zheng

* 12 pages 

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Understanding Structural Vulnerability in Graph Convolutional Networks


Aug 13, 2021
Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang

* 7 pages, 5 figures; Published at IJCAI 2021 

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A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee


Aug 01, 2021
Chunjiang Che, Xiaoli Li, Chuan Chen, Xiaoyu He, Zibin Zheng


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FedGL: Federated Graph Learning Framework with Global Self-Supervision


May 07, 2021
Chuan Chen, Weibo Hu, Ziyue Xu, Zibin Zheng


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GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software


Feb 16, 2021
Jintang Li, Kun Xu, Liang Chen, Zibin Zheng, Xiao Liu

* 4 pages Demonstrations track paper accepted at ICSE 2021 

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Tensor Completion via Few-shot Convolutional Sparse Coding


Dec 02, 2020
Zhebin Wu, Chuan Chen, Cong Liu, Zibin Zheng


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MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks


Nov 17, 2020
Tao Huang, Yihan Zhang, Jiajing Wu, Junyuan Fang, Zibin Zheng


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Ensembled CTR Prediction via Knowledge Distillation


Nov 08, 2020
Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng

* Published in CIKM'2020 

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Adversarial Attack on Large Scale Graph


Sep 08, 2020
Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng

* In submission to Journal, the codes are availiable at https://github.com/EdisonLeeeee/GraphAdv 

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A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus


Apr 02, 2020
Yuzheng Li, Chuan Chen, Nan Liu, Huawei Huang, Zibin Zheng, Qiang Yan

* 7 pages, 4 figures and 1 table 

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A Flexible Framework for Large Graph Learning


Mar 21, 2020
Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng


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A Survey of Adversarial Learning on Graphs


Mar 10, 2020
Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng

* 19 pages, 2 figures, 3 tables 

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Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases


Feb 03, 2020
Huawei Huang, Kangying Lin, Song Guo, Pan Zhou, Zibin Zheng

* 11 pages, 11 figures 

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Towards Better Forecasting by Fusing Near and Distant Future Visions


Dec 11, 2019
Jiezhu Cheng, Kaizhu Huang, Zibin Zheng

* Accepted by AAAI 2020 

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Blockchain Intelligence: When Blockchain Meets Artificial Intelligence


Dec 11, 2019
Zibin Zheng, Hong-Ning Dai

* 5 pages, 5 figures 

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Data Poisoning Attacks on Neighborhood-based Recommender Systems


Dec 01, 2019
Liang Chen, Yangjun Xu, Fenfang Xie, Min Huang, Zibin Zheng


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Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities


Sep 02, 2019
Hong-Ning Dai, Raymond Chi-Wing Wong, Hao Wang, Zibin Zheng, Athanasios V. Vasilakos

* ACM Computing Surveys, 2019 
* 29 pages, 14 figures, 8 tables 

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Collaborative Deep Learning Across Multiple Data Centers


Oct 16, 2018
Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan

* Submitted to AAAI 2019 

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