Brief Biography

Bin Xia is currently an associate professor at School of Computer Science, Nanjing University of Posts and Telecommunications. He received Ph.D degree at School of Computer Science and Engineering, Nanjing University of Science and Technology in 2018. He was in the Knowledge Discovery Research Group (KDRG) that is led by Prof. Tao Li. Now, he is leading the X-Lab of AI Operations and Recommender System (XOR). His research area includes Deep Learning, Recommender System, and AI for IT Operations.

Courses

• Autumn: Big Data Mining (大数据挖掘)
• Autumn: Introduction to Data Science and Big Data Technology (数据科学与大数据技术专业导论)
• Spring 2022: Database System (数据库系统)
• MOOC: Database and Data Mining (数据库与数据挖掘)

Selected Publications (All 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 (in press).
  [PDF] [CODE]
• 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.
  [PDF] [BibTeX] [CODE]
• 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.
  [BibTeX]
• 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.
  [PDF] [BibTeX]
• 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.
  [PDF] [BibTeX] [CODE]
• 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.
  [PDF] [BibTeX]
• 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.
  [PDF] [BibTeX]
• 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.
  [PDF] [BibTeX]
• 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.
  [PDF] [BibTeX]
• 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.
  [PDF] [BibTeX]

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.
  [PDF] [BibTeX]
• 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.
  [PDF] [BibTeX]
• 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.
  [PDF] [BibTeX] [CODE]
• 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.
  [PDF] [BibTeX]
• 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)
  [PDF] [BibTeX]
• 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.
  [PDF] [BibTeX]
• 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.
  [PDF] [BibTeX]