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Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection


Jul 27, 2022
Jianshu Li, Man Luo, Jian Liu, Tao Chen, Chengjie Wang, Ziwei Liu, Shuo Liu, Kewei Yang, Xuning Shao, Kang Chen, Boyuan Liu, Mingyu Guo, Ying Guo, Yingying Ao, Pengfei Gao

* Workshop and challenge summary paper, containing technical reports from different teams 

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Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation


Apr 08, 2022
Diksha Goel, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo


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Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem


Jan 25, 2022
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

* 14 pages 

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Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs


Dec 25, 2021
Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen


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Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization


Sep 23, 2021
Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo


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CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results


Feb 26, 2021
Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu, Shuo Yang, Yuanjun Xiong, Wei Xia, Yan Xu, Man Luo, Jian Liu, Jianshu Li, Zhijun Chen, Mingyu Guo, Hui Li, Junfu Liu, Pengfei Gao, Tianqi Hong, Hao Han, Shijie Liu, Xinhua Chen, Di Qiu, Cheng Zhen, Dashuang Liang, Yufeng Jin, Zhanlong Hao

* Technical report. Challenge website: https://competitions.codalab.org/competitions/26210 

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Analysis of Evolutionary Diversity Optimisation for Permutation Problems


Feb 23, 2021
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

* 8 pages, 2 figures, 1 table 

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Multi-document Summarization via Deep Learning Techniques: A Survey


Nov 10, 2020
Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng


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