Conference Papers

  1. H.-C. Li, K.-Y. Chen, S.-H. Sung and C.-K. Chen, “An Automated Cardiac Ventricle Segmentation on CMR images Using Grey-Level Mask R-CNN”, 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Penghu, September 15-17, 2021. 
  1. H.-Y. Hsieh, Z.-Y. Deng, H.-H. Chiang and H.-C. Li, “Development of Skin Sensing Module for Safety Control in Human-Robot Collaboration”, 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Penghu, September 15-17, 2021. 
  1. J.-H. He, Y.-L. Chen, H.-H. Chiang, and H.-C. Li, “Dynamic obstacle avoidance based on a dynamic space-time grid map for mobile robots,” in Proc. 2021 IEEE 40th International Conference on Consumer Electronics (ICCE2021), pp. 1-3, Las Vegas, NV, USA, Jan. 10-12, 2021. 
  1. Y.-Z. Li, C.-C. Wu, H.-T. Chang, C. Lin, H.-C. Li*, “LiDAR-based Individual Tree Classification using Convolutional Neural Network,” 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28-August 2, Yokohama, Japan, 2019. 
  1. B.-H. Hong, C.-C. Wu, H.-M. Chen, W.-S. Lo, T.-S. Liu, H.-Y. Guo, Y.-C. Ouyang, H.C. Li*, “Freshness of Pleurotus Determined by Analysis of Near-Infrared Spectra,” 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28-August 2, Yokohama, Japan, 2019. 
  1. S. Yang, H.-C. Li, N. Badjatia, L. Lee, C. Mackenzie, S. Hefton, C. Miller, P. Rock, P. Hu, “How Can We Reduce 50% of Transient Patient Monitor Alarms in the Neurointensive Care Unit?” AMIA 2019 Clinical Informatics Conference, April 30 – May 2, Atlanta, Georgia, USA. 
  1. H.-C. Li, M.-L. Chang, C.-G. Liu, B.-C. Chen, C.-C. Hsu, “An Automated Bladder Volume Measurement for Assisting Diagnosis in Lower Urinary Tract Dysfunction,” 2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2018), November 27-30, Ishigaki Island, Okinawa, Japan, 2018. 
  1. Z.-Y. Deng, H.-C. Li, H.-H. Chiang, T.-T. Lee, “Robotic Aids for ECG Monitoring and Diagnosis in Assisted Living Environments,” 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), October 7-10, Miyazaki, Japan, 2018. (a finalist for SMC2018 Best Student Paper Award) 
  1. H.-C. Li, “An Algorithm for Fast Spectral Endmember Determination in Hyperspectral Data,” 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 22-27, Valencia, Spain, 2018. 
  1. H.-C. Li, Z.-Y. Deng, H.-H. Chiang and Y.-L. Chen, “Preliminary Development of Robotic Personal Aids for ECG Monitoring and Diagnosis Assistance,” IEEE International Conference on Consumer Electronics – Taiwan (IEEE 2018 ICCE-TW), May 19-21, Taichung, Taiwan, 2018. 
  1. H.-C. Li, “Geometric N-Finder Algorithm for Finding Endmembers in Hyperspectral Imagery,” 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-28, Texas, USA, 2017. 
  1. Y. Wang, B. Xue, L. Wang, H.-C. Li, L.-C. Lee, C. Yu, M. Song, S. Li, C.-I Chang, “Iterative Anomaly Detection,” 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-28, Texas, USA, 2017. 
  1. H.-C. Li and C.-I Chang, “Geometric Simplex Growing Algorithm for Finding Endmembers in Hyperspectral Imagery,” 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing China, July 10-15, 2016. 
  1. H.-C. Li, C.-I Chang, and Lin Wang, “Constrained Multiple Band Selection for Hyperspectral Imagery,” 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing China, July 10-15, 2016. 
  1. H.-C. Li and C.-I Chang, “Real Time Hyperspectral Anomaly Detection via Band-Interleaved by Line,” Remotely Sensed Data Compression, Communications, and Processing XII, part of SPIE Commercial + Scientific Sensing and Imaging, Baltimore, MD, 17-21 April, 2016. 
  1. H.-C. Li and C.-I Chang, “Geometric Convex Cone Volume Analysis,” Remotely Sensed Data Compression, Communications, and Processing XII, part of SPIE Commercial + Scientific Sensing and Imaging, Baltimore, MD, 17-21 April, 2016.  
  1. B. Xue, L. Wang, H.-C. Li and C.-I Chang, “Lesion Detection in Magnetic Resonance Brain Images by Hyperspectral Imaging Algorithms,” Remotely Sensed Data Compression, Communications, and Processing XII, part of SPIE Commercial + Scientific Sensing and Imaging, 17-21 April, 2016.  
  1. H.-C. Li, and C.-I Chang, “An Orthogonal Projection Approach to Simplex Growing Algorithm,” Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Tokyo, Japan, 02-05 Jun 2015. 
  1. H.-C. Li, and C.-I Chang, “Linear Spectral Unmixing Using Least Squares Error, Orthogonal Projection and Simplex Volume for Hyperspectral Images,” Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Tokyo, Japan, 02-05 Jun 2015. 
  1. H.-C. Li, M. Song, and C.-I Chang, “Simplex Volume Analysis for Finding Endmembers in Hyperspectral Imagery,” Satellite Data Compression, Communication and Processing X (STA15), SPIE International Symposium on SPIE Sensing Technology + Applications, Baltimore, MD, 20-24 Apr 2015. 
  1. H.-C. Li, Y. Li, C. Gao, M. Song, and C.-I Chang, “Progressive Band Processing of Orthogonal Subspace Projection in Hyperspectral Imagery,” Satellite Data Compression, Communication and Processing X (STA15), SPIE International Symposium on SPIE Sensing Technology + Applications, Baltimore, MD, 20-24 Apr 2015. 
  1. M. Song, H.-C. Li, Y. Li, C. Gao, and C.-I Chang, “Orthogonal Projection Based Fully Constrained Spectral Unmixing,” Satellite Data Compression, Communication and Processing X (STA15), SPIE International Symposium on SPIE Sensing Technology + Applications, Baltimore, MD, 20-24 Apr 2015. 
  1. Y. Li, H.-C. Li, C. Gao, and C.-I Chang, “Progressive band processing of pixel purity index for finding endmembers in hyperspectral imagery,” Satellite Data Compression, Communication and Processing X (STA15), SPIE International Symposium on SPIE Sensing Technology + Applications, Baltimore, MD, 20-24 Apr 2015. 
  1. C. Gao, Y. Li, H.-C. Li, C. Mackenzie, P. Hu, and C.-I Chang, “Hyperspectral vital sign signal analysis for medical data,” Satellite Data Compression, Communication and Processing X (STA15), SPIE International Symposium on SPIE Sensing Technology + Applications, Baltimore, MD, 20-24 Apr 2015. 
  1. H.-C. Li, M. Song, and C.-I Chang, “Finding analytical solutions to abundance fully-constrained linear spectral mixture analysis,” 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp, 3682,3685, Quebec Canada, July 13-18, 2014. 
  1. M. Song, H.-C. Li, C.-I Chang, and Y. Li, “Gram-Schmidt orthogonalization vector projection for hyperspectral unmixing,” 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.2934,2937, Quebec Canada, July 13-18, 2014. 
  1. C.-C. Wu, H.-C. Li, and J.H. Lin, “Automatic measurement of cross section area of spinal canal by using supervised classification algorithms,” 2012 American Association of Neurological Surgeons Scientific Meeting, 2012.  
  1. C.-C. Wu, H.-C. Li, Y.-H. Chiang and J.-H. Lin, “Classification of cross-section area of spinal canal on kernel-based support vector machine,” 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.2622,2625, 14-17 Oct. 2012.