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Publications

Book Chapter (In Press)

  • J. Bin, B. Gardiner, Z. Liu and E. Li. ``Extremely Randomized Trees for Real Estate Appraisal with House Attributes and Crime Data`` in Artificial intelligence: Current and Future Developments , Editors: Terje Kristensen. Bentham eBooks.
  • R. Zhang*, J. Bin*, Z. Liu and E. Blasch. ``WGGAN: A Wavelet-Guided Generative Adversarial Network for Thermal Image Translation`` in Generative Adversarial Networks for Image-to-Image Translation , Elsevier, 2020, In Press. (*Co-first Authors).

Journals

  1. J. Bin, Bin, H. Zhang, Z. Bahrami, R. Zhang, H. Liu, E. Blasch and Z. Liu, ``The Registration of Visible and Thermal Images Through Multi-Objective Optimization,'' Information Fusion, vol. 95, pp 186-198, 2023.
  2. J. Bin, B. Gardiner, H. Liu, E. Li and Z. Liu, ``RHPMF: A Context-Aware Matrix Factorization Approach for Understanding Regional Real Estate Market,'' Information Fusion, 2023, In Press.
  3. J. Bin, Z. Bahrami, C.A. Rahman, S. Du, S. Rogers and Z. Liu, ``Foreground Fusion-Based Liquefied Natural Gas Leak Detection Framework From Surveillance Thermal Imaging,'' IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, In Press.
  4. J. Bin, R. Zhang, R. Wang, Y. Cao, Y. Zheng, E. Blasch and Z. Liu, ``An Efficient and Uncertainty-Aware Decision Support System for Disaster Response Using Aerial Imagery,'' Sensors, 2022, vol. 22, no.19, pp. 1-18.
  5. H. Liu*, J. Bin*, Y. Liu, Z. Liu, H. Dong, N. Mrad and E. Blasch, ``SGCast: A New Forecasting Framework for Multi-Location Geomagnetic Data with Missing Values Based on Matrix Factorization,'' IEEE Transactions on Instrumentation and Measurement, 2021, Accepted (*Co-first Authors).
  6. J. Bin, C.Ashiq Rhaman, S. Rogers and Z. Liu, ``Tensor-based Approach for Liquefied Natural Gas Leakage Detection from Surveillance Thermal Cameras: A Feasibility Study in Rural Areas,'' IEEE Transactions on Industrial Informatics, 2021 , doi: 10.1109/TII.2021.3064845.
  7. J. Bin, B. Gardiner, E. Li and Z. Liu, ``Multi-Source Urban Data Fusion for Property Value Assessment: A Case Study in Philadelphia,'' Neurocomputing, vol. 404, pp.70-83, Sep, 2020
  8. J. Bin, B. Gardiner, E. Li and Z. Liu, ``Attention-based Multi-modal Fusion for Improved Real Estate Appraisal: A Case Study in Los Angeles,'' Multimedia Tools and Applications, vol. 78, no. 31163-31184, 2019.
  9. J. Bin, B. Gardiner, Z. Liu and E. Li, ``Peer-Dependence Valuation Model for Real Estate Appraisal,'' Data-Enabled Discovery and Applications, vol. 3, no. 2, pp. 1-10, Jan. 2019.
  10. J.X. Liew, J. Bin and Z. Liu, ``Software as a Service: the Future of NDI Data Analysis in the Cloud," Insight -- Non-Destructive Testing and Condition Monitoring, vol. 61, no. 6, pp. 341-346(6), Jun. 2019.
  11. H. Liu, J. Bin, H. Dong, J. Ge and Z. Liu., ``Adaptive Pre-Whiten Filtering for the FID Transversal Signal in Weak Magnetic Detection with Strong-Noise Cancellation Ability," Review of Scientific Instruments, 2019, In Press.
  12. Q. Jin, Z. Liu, J. Bin and W. Ren, ``Predictive Analytic of In-Service Bridge Structural Performance from SHM Data Mining Perspective: One Case Study,'' Shock and Vibration, 2019, Accepted.
  13. H. Liu, Z. Liu, S. Liu, Y. Liu, J. Bin, F. Shi, H. Dong, ``A Nonlinear Regression Application Via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing,'' IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 1, pp. 128-140, Jan. 2019.

Conferences

  1. J. Bin, C.Ashiq Rhaman, S. Rogers, S. Du and Z. Liu, ``A Multimodal Fusion-Based LNG Detection for Monitoring Energy Facilities (Student Abstract)," in Proceedings of the AAAI Conference on Artificial Intelligence, 2022, Accepted.
  2. J. Bin*, R. Zhang*, C. Zhang*, X. Liu, S. Du, E. Blasch and Z. Liu, ``Improved Object Detection in Thermal Imaging Through Context Enhancement and Information Fusion: A Case Study in Autonomous Driving," in NeurIPS Workshop on Machine Learning for Autonomous Driving, 2021, Accepted. (*Co-first Authors).
  3. J. Bin, K. Meng and Z. Liu, ``GPU-Accelerated Tensor Decomposition for Moving Object Detection in Multimodal Sensor," in IEEE SENSORS 2020, Rotterdam, Netherlands, 2020, pp. 1-4.
  4. R. Zhang*, J. Bin*, Z. Liu and E. Blasch, ``Image translation to enhance IR2VIS image registration," in SPIE Defense + Commercial Sensing, 2020, Accepted. (*Co-first Authors).
  5. C. Zhang, J. Bin and Z. Liu, ``Wind Turbine Assessment through Inductive Transfer Learning," in IEEE 2018 International Instrumentation and Measurement Technology Conference (I2MTC), Houston, TX, 2018, pp. 1-6.
  6. Q. Jin, Z. Liu, J. Bin and W. Ren, ``tructural Performance Analysis and Prediction for In-service Bridge with SHM Data Mining," in anadian Society of Civil Engineering (CSCE) 2018 Annual Conference, Fredericton, Canada, 2018, pp. 1-11.
  7. J. Bin, S. Tang, Y. Liu, G. Wang, B. Gardiner, Z. Liu, E. Li, ``Regression model for appraisal of real estate using recurrent neural network and boosting tree," in 2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA), Beijing, China, 2017, pp. 209-213.
  8. J. Bin, S B. Gardiner, Z. Liu and E. Li, ``Advanced Regression Model for Automated Valuation Model," presented at The 45th Annual Meeting of the Statistical Society of Canada, Winnipeg, Canada, 2017.

Master Thesis