夏彬(Bin Xia)

Publications

Journal Articles

• Xiaoyu Fang, Wenbai Guan, Jiawen Li, Chenhan Cao, and Bin Xia. SiaDFP: A Disk Failure Prediction Framework Based on Siamese Neural Network in Large-Scale Data Center. IEEE Transactions on Services Computing 17(5): 2890-2903, 2024.
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• Chenhan Cao, Xiaoyu Fang, Bingqing Luo, and Bin Xia. SSR-TA: Sequence to Sequence based expert recurrent recommendation for ticket automation. Neural Computing and Applications 36: 1815-1832, 2024.
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• Ziyu Shen, Binghui Liu, Qing Zhou, Zheng Liu, Bin Xia, and Yun Li. Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting. ACM Transactions on Intelligent Systems and Technology 14(2): 24:1-24:20, 2023.
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• Ziyu Shen, Qing Zhou, Xusheng Zhang, Bin Xia, Zheng Liu, and Yun Li. Data characteristics aware prediction model for power consumption of data center servers. Concurrency and Computation: Practice and Experience 34(11): 2022.
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• Keji Han, Bin Xia, and Yun Li. (AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal. Pattern Recognition 122: 108303, 2022.
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• Qi Li, Bin Xia, Haiping Huang, Yinghui Zhang, and Tao Zhang. TRAC: Traceable and Revocable Access Control Scheme for mHealth in 5G-Enabled IIoT. IEEE Transactions on Industrial Informatics 18(5): 3437-3448, 2022.
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• Bin Xia, Tao Li*, Qifeng Zhou, Qianmu Li, and Hong Zhang. An Effective Classification-based Framework for Predicting Cloud Capacity Demand in Cloud Services. IEEE Transactions on Services Computing 14(4): 944-956, 2021.
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• Bin Xia, Yuxuan Bai, Junjie Yin, Yun Li*, and Jian Xu. LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling. Information Systems Frontiers 23(2): 285-298, 2021.
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• Bin Xia*, Yuxuan Bai, Junjie Yin, Qi Li, and Lijie Xu. MTPR: A Multi-Task Learning Based POI Recommendation Considering Temporal Check-Ins and Geographical Locations. Applied Sciences 10(19): 6664, 2020.
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• Bin Xia, Junjie Yin, Jian Xu, and Yun Li*. WE-Rec: a Fairness-Aware Reciprocal Recommendation Based on Walrasian Equilibrium. Knowledge-Based Systems 182: 1-12, 2019.
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• Qifeng Zhou*, Ruyuan Han, Tao Li, Bin Xia. Joint prediction of time series data in inventory management. Knowledge and Information Systems 61(2): 905-929, 2019.
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• Bin Xia, Tao Li*, Qianmu Li, and Hong Zhang. Noise-tolerance matrix completion for location recommendation. Data Mining and Knowledge Discovery 32(1): 1-24, 2018.
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• Zheng Liu*, Chi-Yu Liu, Bin Xia, Tao Li. Multiple Relational Topic Modeling for Noisy Short Texts. International Journal of Software Engineering and Knowledge Engineering 28(11-12): 1559-1574, 2018.
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• Bin Xia, Zhen Ni, Tao Li*, Qianmu Li, and Qifeng Zhou. VRer: context-based venue recommendation using embedded space ranking SVM in location-based social network. Expert Systems with Applications 83: 18-29, 2017.
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• Tao Li*, Chunqiu Zeng, Wubai Zhou, Wei Xue, Yue Huang, Zheng Liu, Qifeng Zhou, Bin Xia, Qing Wang, and Wentao Wang. FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications. Knowledge and Information Systems 1-33, 2016.
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• Qianmu Li, Tao Li*, Bin Xia, Ming Ni, Xiaoqian Liu, Qifeng Zhou, and Yong Qi. FIRST: Face Identity Recognition in SmarT Bank. International Journal of Semantic Computing 10(04): 569-591, 2016.
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• Bin Xia, Hong Zhang, Qianmu Li, and Tao Li*. PETs: a stable and accurate predictor of protein-protein interacting sites based on extremely-randomized trees. IEEE Transactions on NanoBioscience 14(8): 882-893, 2015.
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• Weihua Ma, Hong Zhang*, Qianmu Li, Bin Xia. Analysis of Information Management and Scheduling Technology in Hadoop. Journal of Digital Information Management 12(2): 133-138, 2014.
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• Xianghe Wei, Hong Zhang*, Zhen Liu, Qianmu Li, Bin Xia. An Indirect Security Trust Method Based on Credibility Evaluation. Journal of Digital Information Management 12(2): 139-150, 2014.
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Conference Paper

• Xusheng Zhang, Ziyu Shen, Bin Xia, Zheng Liu, and Yun Li*. Estimating Power Consumption of Containers and Virtual Machines in Data Centers. 2020 IEEE International Conference on Cluster Computing (CLUSTER) 288-293, 2020.
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• Shajia Shan, Ziyu Shen, Bin Xia, Zheng Liu, and Yun Li*. DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction. 2020 International Conference on Neural Information Processing 568-578, 2020.
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• Yuxuan Bai, Yu Wang, Bin Xia, Yun Li*, and Ziye Zhu. Adversarial Named Entity Recognition with POS label embedding. In Proceedings of 2020 International Joint Conference on Neural Networks (IJCNN20') 1-8, 2020.
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• Ziyu Shen, Xusheng Zhang, Bin Xia, Zheng Liu, and Yun Li*. Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network. In Proceedings of ISPA/BDCloud/SocialCom/SustainCom 2019 194-201, 2019.
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• Ziyu Shen, Xusheng Zhang, Binghui Liu, Bin Xia, Zheng Liu, Yun Li*, and Saiqin Long. PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers. In Proceedings of the 7th International Conference on Advanced Cloud and Big Data (CBD19') 13-18, 2019.
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• Bin Xia, Junjie Yin, Jian Xu and Yun Li*. LogGAN: A Sequence-Based Generative Adversarial Network for Anomaly Detection Based on System Logs. In Proceedings of Second International Conference on Science of Cyber Security (SciSec19') 61-76, 2019.
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• Junjie Yin, Yun Li, Zheng Liu, Jian Xu, Bin Xia*, and Qianmu Li. ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework. In Proceedings of 2019 International Joint Conference on Neural Networks (IJCNN19') 1-8, 2019.
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• Yu Wang, Yun Li*, Ziye Zhu, Bin Xia, and Zheng Liu. SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition. In Proceedings of the 23rd Pacific Asia Knowledge Discovery and Data Mining 1: 198-209, 2019.
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• Xiaopeng Li, Jia Xu, Bin Xia*, and Jian Xu. MLE: A General Multi-Layer Ensemble Framework for Group Recommendation. Service-Oriented Computing - ICSOC 2018 Workshops - ADMS 351-366, 2018.
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• Chi-Yu Liu, Zheng Liu*, Tao Li, Bin Xia. Topic Modeling for Noisy Short Texts with Multiple Relations. The 30th International Conference on Software Engineering and Knowledge Engineering (SEKE18') 610-609, 2018.
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• Bin Xia, Yun Li, Qianmu Li, and Tao Li*. Attention-based Recurrent Neural Network for Location Recommendation. In Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering 1-6, 2017. (Best Paper Award)
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• Yu Wang, Bin Xia, Zheng Liu, Yun Li, and Tao Li*. Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs. In Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering 1-7, 2017.
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• Shicheng Cui, Bin Xia, Tao Li, Ming Wu, Deqiang Li, Qianmu Li, Hong Zhang*. SimWalk: Learning network latent representations with social relation similarity. In Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering 1-6, 2017.
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• Qifeng Zhou, Bin Xia, Wei Xue, Chunqiu Zeng, Ruyuan Han, and Tao Li*. An Advanced Inventory Data Mining System for Business Intelligence. In Proceedings of the 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017, 210-217.
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• Tao Li*, Yexi Jiang, Chunqiu Zeng, Bin Xia, Zheng Liu, Wubai Zhou, Xiaolong Zhu et al. FLAP: An end-to-end event log analysis platform for system management. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2017, 1547-1556.
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• Qifeng Zhou, Bin Xia, Yexi Jiang, Qianmu Li, and Tao Li*. A classification-based demand trend prediction model in cloud computing. International Conference on Web Information Systems Engineering 2015, 442-457.
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