An intensity-enhanced method for handling mobile laser scanning point clouds von Fang, Lina, Chen, Hao, Luo, Huan, Guo, Yingya, Li, Jonathon

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Boundary-Aware graph Markov neural network for semiautomated object segmentation from point clouds von Luo, Huan, Zheng, Quan, Fang, Lina, Guo, Yingya, Guo, Wenzhong, Wang, Cheng, Li, Jonathan

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Complete mitochondrial genome of a potential vector louse fly, Lipoptena grahami (Diptera, Hippoboscidae) von Wang, Mo, Wang, Jishan, Guo, Yingya, Zheng, Qinglian, Nouhoum, Dibo, Meng, Fanming

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FEAT: A Federated Approach for Privacy-Preserving Network Traffic Classification in Heterogeneous Environments von Guo, Yingya, Wang, Dan

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Multi-view fuzzy clustering of deep random walk and sparse low-rank embedding von Wang, Shiping, Xiao, Shunxin, Zhu, William, Guo, Yingya

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Network traffic prediction with Attention-based Spatial–Temporal Graph Network von Peng, Yufei, Guo, Yingya, Hao, Run, Xu, Chengzhe

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An intelligent scheme for big data recovery in Internet of Things based on Multi-Attribute assistance and Extremely randomized trees von Cheng, Hongju, Shi, Yushi, Wu, Leihuo, Guo, Yingya, Xiong, Naixue

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TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic von Lin, Bin, Guo, Yingya, Luo, Huan, Ding, Mingjie

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FRRL: A reinforcement learning approach for link failure recovery in a hybrid SDN von Ma, Yulong, Guo, Yingya, Yang, Ruiyu, Luo, Huan

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GROM: A generalized routing optimization method with graph neural network and deep reinforcement learning von Ding, Mingjie, Guo, Yingya, Huang, Zebo, Lin, Bin, Luo, Huan

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Capturing spatial–temporal correlations with Attention based Graph Convolutional Network for network traffic prediction von Guo, Yingya, Peng, Yufei, Hao, Run, Tang, Xiang

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WCL: Client Selection in Federated Learning with a Combination of Model Weight Divergence and Client Training Loss for Internet Traffic Classification von Guo, Yingya, Huang, Kai, Chen, Jianshan

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Traffic engineering in hybrid SDN networks with multiple traffic matrices von Guo, Yingya, Wang, Zhiliang, Yin, Xia, Shi, Xingang, Wu, Jianping

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Routing optimization with path cardinality constraints in a hybrid SDN von Guo, Yingya, Luo, Huan, Wang, Zhiliang, Yin, Xia, Wu, Jianping

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Traffic Engineering in Partially Deployed Segment Routing Over IPv6 Network With Deep Reinforcement Learning von Tian, Ying, Wang, Zhiliang, Yin, Xia, Shi, Xingang, Guo, Yingya, Geng, Haijun, Yang, Jiahai

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Traffic Engineering in Hybrid Software Defined Network via Reinforcement Learning von Guo, Yingya, Wang, Weipeng, Zhang, Han, Guo, Wenzhong, Wang, Zhiliang, Tian, Ying, Yin, Xia, Wu, Jianping

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MATE: A multi-agent reinforcement learning approach for Traffic Engineering in Hybrid Software Defined Networks von Guo, Yingya, Ding, Mingjie, Zhou, Weihong, Lin, Bin, Chen, Cen, Luo, Huan

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Improve the Energy Efficiency of Datacenters With the Awareness of Workload Variability von Hu, Cheng, Guo, Yingya, Deng, Yuhui, Lang, Longya

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SOTE: Traffic engineering in hybrid software defined networks von Guo, Yingya, Wang, Zhiliang, Liu, Zhifeng, Yin, Xia, Shi, Xingang, Wu, Jianping, Xu, Yang, Chao, H. Jonathan

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Achieving High Availability in Inter-DC WAN Traffic Engineering von Zhang, Han, Yin, Xia, Shi, Xingang, Wang, Jilong, Wang, Zhiliang, Guo, Yingya, Lan, Tian, Li, Yahui, Zhu, Yongqing, Ruan, Ke, Geng, Haijun

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