Co-authors

Researcher identifiers

  • IdHAL : jie-liu

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Number of documents

32


Journal articles21 documents

  • Jie Liu, Enrico Zio. Prognostics of a multistack PEMFC system with multiagent modeling. Energy Science & Engineering, 2018. ⟨hal-01989177⟩
  • Jie Liu, Enrico Zio, Yang Hu. Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data. IEEE Access, IEEE, 2018, 6, pp.62564-62573. ⟨10.1109/access.2018.2876457⟩. ⟨hal-01989200⟩
  • Longyu Jiang, Runguo He, Jie Liu, Yang Chen, Jiasong Wu, et al.. Phase-constrained Parallel Magnetic Resonance Imaging Reconstruction Based on Low-rank Matrix Completion. IEEE Access, IEEE, 2018, 6, pp.4941-4954. ⟨10.1109/ACCESS.2017.2780921⟩. ⟨hal-01680426⟩
  • Hoang-Phuong Nguyen, Jie Liu, Enrico Zio. Dynamic-weighted ensemble for fatigue crack degradation state prediction. Engineering Fracture Mechanics, Elsevier, 2018, 194, pp.212-223. ⟨10.1016/j.engfracmech.2018.03.013⟩. ⟨hal-01988976⟩
  • Hoang-Phuong Nguyen, Jie Liu, Enrico Zio. Dynamic-weighted ensemble for fatigue crack degradation state prediction. Engineering Fracture Mechanics, Elsevier, 2018, 194, pp.212 - 223. ⟨10.1016/j.engfracmech.2018.03.013⟩. ⟨hal-01784276⟩
  • Jie Liu, Ahmad Karfoul, Longyu Jiang, Huazhong Shu, Hervé Saint-Jalmes, et al.. ViP-CSI Virtual Phantom Chemical Shift Imaging. Applied Magnetic Resonance, Springer Verlag, 2018, 49 (4), pp.369-380. ⟨10.1007/s00723-018-0981-6⟩. ⟨hal-01771213⟩
  • Jie Liu, Enrico Zio. A scalable fuzzy support vector machine for fault detection in transportation systems. Expert Systems with Applications, Elsevier, 2018, 102, pp.36 - 43. ⟨10.1016/j.eswa.2018.02.017⟩. ⟨hal-01786575⟩
  • Jie Liu, Enrico Zio. Prediction of peak values in time series data for prognostics of critical components in nuclear power plants. IFAC-PapersOnLine, Elsevier, 2016, 49 (28), pp.174 - 178. ⟨10.1016/j.ifacol.2016.11.030⟩. ⟨hal-01787969⟩
  • Jie Liu, Enrico Zio. SVM hyperparameters tuning for recursive multi-step-ahead prediction. Neural Computing and Applications, Springer Verlag, 2016. ⟨hal-01342889⟩
  • Yuxu Zhang, Hanjie Wen, Chuanwei Zhu, Haifeng Fan, Chongguang Luo, et al.. Cd isotope fractionation during simulated and natural weathering. Environmental Pollution, Elsevier, 2016, 216, pp.9 - 17. ⟨10.1016/j.envpol.2016.04.060⟩. ⟨hal-01772371⟩
  • Jie Liu, Enrico Zio. A SVR-based ensemble approach for drifting data streams with recurring patterns. Applied Soft Computing, Elsevier, 2016, ⟨10.1016/j.asoc.2016.06.030⟩. ⟨hal-01342890⟩
  • Jie Liu, Enrico Zio. An adaptive online learning approach for Support Vector Regression: Online-SVR-FID. Mechanical Systems and Signal Processing, Elsevier, 2016, 76-77, pp.796 - 809. ⟨10.1016/j.ymssp.2016.02.056⟩. ⟨hal-01408776⟩
  • Jie Liu, Enrico Zio. Feature vector regression with efficient hyperparameters tuning and geometric interpretation. Neurocomputing, Elsevier, 2016, 218, pp.411 - 422. ⟨10.1016/j.neucom.2016.08.093⟩. ⟨hal-01408779⟩
  • Jie Liu, Valeria Vitelli, Enrico Zio, Redouane Seraoui. A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data. IEEE Transactions on Reliability, Institute of Electrical and Electronics Engineers, 2015, PP (99), pp.11. ⟨10.1109/TR.2015.2427156⟩. ⟨hal-01176316⟩
  • Fenglai Liu, Ester Livshits, Rohini C. Lochan, Arne Luenser, Prashant Manohar, et al.. Advances in molecular quantum chemistry contained in the Q-Chem 4 program package. Molecular Physics, Taylor & Francis, 2015, 113 (2), pp.184-215. ⟨10.1080/00268976.2014.952696⟩. ⟨hal-01389004⟩
  • Jie Liu, Valeria Vitelli, Enrico Zio, Redouane Seraoui. A Dynamic Weighted RBF-Based Ensemble for Prediction of Time Series Data from Nuclear Components. International Journal of Prognostics and Health Management, Prognostics and Health Management Society, 2015, pp.9. ⟨hal-01176328⟩
  • Guowei Lu, Jie Liu, Tianyue Zhang, Hongming Shen, Pascal Perriat, et al.. Enhancing molecule fluorescence with asymmetrical plasmonic antennas. Nanoscale, Royal Society of Chemistry, 2013, 5 (14), pp.6545-6551. ⟨10.1039/c3nr01306e⟩. ⟨hal-01814450⟩
  • Jie Liu, Radoslaw Bombera, Loïc Leroy, Yoann Roupioz, Dieudonné Baganizi, et al.. Selective Individual Primary Cell Capture Using Locally Bio-Functionalized Micropores. PLoS ONE, Public Library of Science, 2013, 8 (3), pp.e57717. ⟨hal-01983220⟩
  • Jie Liu, Redouane Seraoui, Valeria Vitelli, Enrico Zio. Nuclear power plant components condition monitoring by probabilistic support vector machine. Annals of Nuclear Energy, Elsevier Masson, 2013, 56, pp.23-33. ⟨hal-00790421⟩
  • Hongming Shen, Guowei Lu, Tianyue Zhang, Jie Liu, Ying Gu, et al.. Shape effect on a single-nanoparticle-based plasmonic nanosensor. Nanotechnology, Institute of Physics, 2013, 24 (28), ⟨10.1088/0957-4484/24/28/285502⟩. ⟨hal-01814475⟩
  • Jie Liu, Pascale Pham, Vincent Haguet, Fabien Sauter-Starace, Loïc Leroy, et al.. Polarization-Induced Local Pore-Wall Functionalization for Biosensing: From Micropore to Nanopore. Analytical Chemistry, American Chemical Society, 2012, 84 (7), pp.3254-3261. ⟨hal-01985109⟩

Conference papers10 documents

  • Jie Liu, Enrico Zio. KNN-FSVM for Fault Detection in High-Speed Trains. 2018 IEEE International Conference on Prognostics and Health Management (ICPHM), 2018, Chongqing, China. ⟨hal-01989032⟩
  • Hoang-Phuong Nguyen, Enrico Zio, Jie Liu. Model ensemble-based prognostic framework for fatigue crack growth prediction. 2017 2nd International Conference on System Reliability and Safety (ICSRS), Dec 2017, Milan, Italy. ⟨10.1109/ICSRS.2017.8272843⟩. ⟨hal-01784274⟩
  • Jie Liu, Giulio Gambarota, H. Shu, L. Jiang, B. Leporq, et al.. Efficient Sparsity-Based Algorithm for Parameter Estimation of the Tri-Exponential Intra Voxel Incoherent Motion (IVIM) Model Application to Diffusion-Weighted MR Imaging in the Liver. 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2017, Curacao, Netherlands Antilles. ⟨10.1109/CAMSAP.2017.8313196⟩. ⟨hal-01783432⟩
  • Jie Liu, Enrico Zio. A framework for asset prognostics from fleet data. IEEE Prognostics and System Health Management Conference, Oct 2016, Chengdu, France. ⟨10.1109/PHM.2016.7819824⟩. ⟨hal-01787966⟩
  • Jie Liu, Enrico Zio. Adaptive Support Vector Regression for Long-Term Prediction under Non stationary Environments: Prognostics of Components in Nuclear Power Plants. 2015 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, Aug 2015, Beijing, China. ⟨hal-01787957⟩
  • Jie Liu, Enrico Zio. Adaptive Support Vector Regression for Long-Term Prediction under Nonstationay Environments: Prognostics of Components in Nuclear Power Plants. 2015 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2015), Jul 2015, Beijing, China. ⟨hal-01176337⟩
  • Jie Liu, Valeria Vitelli, Redouane Seraoui, Enrico Zio. Dynamic Weighted PSVR-Based Ensembles for Prognostics of Nuclear Components. FLINS 2014, Aug 2014, João Pessoa, Brazil. ⟨hal-01108176⟩
  • Jie Liu, Valeria Vitelli, Redouane Seraoui, Enrico Zio. AN EFFICIENT ONLINE LEARNING APPROACH FOR SUPPORT VECTOR REGRESSION. second european conference of the prognostics and health management society 2014, Jul 2014, Nantes, France. ⟨10.1142/9789814619998_0032⟩. ⟨hal-01090273⟩
  • Jie Liu, Redouane Seraoui, Valeria Vitelli, Enrico Zio. Probabilistic Support Vector Regression for Short-Term Prediction of Power Plants Equipment. Prognostics and System Health Management Conference - PHM-2013, Sep 2013, Milano, Italy. pp.1-6. ⟨hal-00838776⟩
  • Jie Liu, Valeria Vitelli, Redouane Seraoui, Francesco Di Maio, Enrico Zio. Short-Term Prediction for Nuclear Power Plant Failure Scenarios Using an Ensemble-based Approach. ESREL 2013, Sep 2013, Amsterdam, Netherlands. pp.1-5. ⟨hal-00838785⟩

Preprints, Working Papers, ...1 document

  • Jie Liu. Characterization of projective spaces and \mathbb{P}^r-bundles as ample divisors. 2016. ⟨hal-01408052⟩