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Blockchain-based Trustworthy Federated Learning Architecture


Aug 16, 2021
Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu


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FLRA: A Reference Architecture for Federated Learning Systems


Jun 22, 2021
Sin Kit Lo, Qinghua Lu, Hye-Young Paik, Liming Zhu

* Accepted by ECSA 2021 

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AI and Ethics -- Operationalising Responsible AI


May 19, 2021
Liming Zhu, Xiwei Xu, Qinghua Lu, Guido Governatori, Jon Whittle


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Architectural Patterns for the Design of Federated Learning Systems


Jan 07, 2021
Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-young Paik, Xiwei Xu, Chen Wang

* Submitted to Elsevier's Journal of Systems and Software, Special issue on Software Architecture and Artificial Intelligence 

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Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization


Jan 05, 2021
Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu


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Generative Inverse Deep Reinforcement Learning for Online Recommendation


Nov 04, 2020
Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu


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Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion


Oct 14, 2020
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

* Under minor review at IEEE Transactions on Cybernetics 

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Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?


Sep 07, 2020
Jieshan Chen, Mulong Xie, Zhenchang Xing, Chunyang Chen, Xiwei Xu, Liming Zhu, Guoqiang Li

* 13 pages, accepted to ESEC/FSE '20 

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A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective


Jul 27, 2020
Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu

* Submitted to ACM CSUR on 27 Jul 2020 

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MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation


Jul 07, 2020
Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu


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Trust in Recommender Systems: A Deep Learning Perspective


Apr 08, 2020
Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu


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Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning


Mar 01, 2020
Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, Jinshui Wang

* Accepted to 42nd International Conference on Software Engineering 

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The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques


Mar 08, 2019
Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Dotcherty, Kai Lu, Liming Zhu


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Interpreting Shared Deep Learning Models via Explicable Boundary Trees


Sep 12, 2017
Huijun Wu, Chen Wang, Jie Yin, Kai Lu, Liming Zhu

* 9 pages, 10 figures 

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