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Henry Chu, PhD., PE.

Dr. Henry Chu is the Executive Director of the Informatics Research Institute and a Professor of Computer Science/Computer Engineering at the University of Louisiana at Lafayette. He has been with the University since 1988. His research interests are in machine vision and machine learning. His recent research includes learning from noisy data, time series prediction, and formation representation in deep learning networks. At the Informatics Research Institute, he oversees use-inspired artificial intelligence research in health informatics, disaster recovery and emergency management, and critical infrastructure cybersecurity. 

Dr. Chu leads and conducts research in machine learning and data science. His recent research has investigated problems related to collating and analyzing data from various sources to address societal issues such as improving health system performance and disaster recovery planning. He leads a project that supports the data analytics and management needs of the Louisiana Department of Health.

Dr. Chu was recognized for service work by the University of Louisiana at Lafayette chapter of the Phi Kappa Phi honor society in 2006 and 2008. The Louisiana Board of Regents recognized him for service to the Speaking of Science Program in January 2003. He received the Distinguished Professor Award from the University of Louisiana at Lafayette Foundation in May 2000. He is a member of the honor societies of Eta Kappa Nu (electrical engineering), Tau Beta Pi (all engineering), and Phi Kappa Phi (all disciplines)

Dr. Chu is a Life Senior Member of the Institute of Electrical and Electronics Engineers and a Professional Member of the Association for Computing Machinery. He serves on the Data Committee of the State of Louisiana’s Taking Aim at Cancer in Louisiana initiative (2018-present) and the Allocation Committee of the Louisiana Optical Network Initiative (2013-present). He chairs the Louisiana EPSCoR Committee.

He has reviewed the Board of Regents’ Supervised Undergraduate Research Experience Program since 2013. Previously, he was a member of the Board of Regents Master Plan Research Advisory Committee’s Digital Media and Enterprise Software Task Force.

Dr. Chu is a Registered Professional Engineer in the State of Louisiana. He is a member of the Phi Kappa Phi honor society (all disciplines), Tau Beta Pi (engineering), and Eta Kappa Nu (electrical engineering). He is a senior member of the Institute of Electrical and Electronics Engineers and a professional Association for Computing Machinery member.

Contact Information:

Campus Office: James R. Oliver, Room 304

Research Park Office; Abdalla, Room 119

Education: He received B.S.E. and M.S.E. degrees from the University of Michigan and his Ph.D. from Purdue University, West Lafayette, Ind. He received his B.S.E. and M.S.E. degrees from the University of Michigan, Ann Arbor, and his Ph.D. from Purdue University, all in electrical and computer engineering.

Publications:

  • A Unified Approach for Binary-Class and Multi-Class Data Augmented Generation. Frederic Rizk; Rodrigue Rizk; Dominick Rizk; Patrick Rizk; Chee-Hung Henry Chu . 2024 IEEE Conference on Artificial Intelligence (CAI) Year: 2024 | Conference Paper | Publisher: IEEE
  • Hasan, Rashida & Chu, Chee-Hung. (2024). A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning. 902-909. 10.1145/3605098.3635936.
  • F. Rizk, R. Rizk, D. Rizk and C.-H. H. Chu, "MAGAN: A meta-analysis for generative adversarial networks’ latent space", Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2023), pp. 488-494, 2023.
  • Gottumukkala, Raju & Katragadda, Satya & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Correction to: Exploring the relationship between mobility and COVID-19 infection rates for the second peak in the United States using phase-wise association. BMC Public Health. 21. 10.1186/s12889-021-11904-4.
  • "A New Shadow Removal Method for Color Images" written by Qiang He, Chee-Hung Henry Chu, published by Advances in Remote Sensing, Vol.2, No.2, 2013
  • Katragadda, Satya & Gottumukkala, Raju & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Association mining based approach to analyze COVID-19 response and case growth in the United States. Scientific Reports. 11. 18635. 10.1038/s41598-021-96912-5.
  • Vidal, Pedro & Chu, Chee-Hung & Biesseck, Bernardo & Granada, Roger & Führ, Gustavo & Menotti, David. (2023). Extending Earth Mover's Distance to Occluded Face Verification. 49-54. 10.1109/SIBGRAPI59091.2023.10347147.
  • Burkman, John & Chu, Chee-Hung & Sun, Xiaoduan. (2024). Ambulance Dispatch Recommendation System Based on Automated Crash Reports from Cell Phones. 10.2139/ssrn.5031140.
  • Rizk, Frederic & Rizk, Rodrigue & Rizk, Dominick & Chu, Chee-Hung. (2023). MAGAN: A Meta-Analysis for Generative Adversarial Networks’ Latent Space. 488-494. 10.5220/0011771900003411.
  • Hasan, Rashida & Chu, Chee-Hung. (2022). DRN: Detection and Removal of Noisy Instances with Self Organizing Map. 10.1007/978-3-031-09282-4_40.
  • Alagurajah, Jeevithan & Chu, Chee-Hung. (2022). Adversarial defense by restricting in-variance and co-variance of representations. 58-65. 10.1145/3477314.3507067.
  • Chu, Chee-Hung & Banerjee, Debanjali. (2022). Contributions by Feature Layers in Two-Class Deep Learning Image Classification Decisions.
  • Gottumukkala, Raju & Katragadda, Satya & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Correction to: Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association. BMC Public Health. 21. 10.1186/s12889-021-11904-4.
  • Katragadda, Satya & Gottumukkala, Raju & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Association mining based approach to analyze COVID-19 response and case growth in the United States. Scientific Reports. 11. 18635. 10.1038/s41598-021-96912-5.
  • Gottumukkala, Raju & Katragadda, Satya & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association. BMC Public Health. 21. 10.1186/s12889-021-11657-0.
  • Katragadda, Satya & Gottumukkala, Raju & Bhupatiraju, Ravi & Kamal, Azmyin & Raghavan, Vijay & Chu, Chee-Hung & Kolluru, Ramesh & Ashkar, ziad maurice. (2021). Association Mining Based Approach to analyze COVID-19 response and Case Growth in the United States.
  • Anandanadarajah, Nishanth & Chu, Chee-Hung & Loganantharaj, R.. (2021). An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures. 10.48550/arXiv.2105.08100.
  • Anandanadarajah, Nishanth & Chu, Chee-Hung & Loganantharaj, R.. (2021). An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures. Computers in Biology and Medicine. 133. 104323. 10.1016/j.compbiomed.2021.104323.
  • Singh, Anurag & Pratt, Michael & Chu, Chee-Hung. (2015). Visually Salient Features for Highway Scene Analysis. Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. 10.1109/MVA.2015.7153204.
  • Singh, Anurag & Chu, Chee-Hung & Pratt, Michael. (2015). Saliency Detection Using Geometric Context Contrast Inferred from Natural Images. VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings. 1. 10.5220/0005316906090616.
  • Singh, Anurag & Chu, Chee-Hung & Pratt, Michael. (2015). Learning to Predict Video Saliency using Temporal Superpixels. ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods, Proceedings. 2. 10.5220/0005206402010209.
  • Singh, Anurag & Chu, Chee-Hung & Pratt, Michael. (2014). Multiresolution superpixels for visual saliency detection. 10.1109/CIMSIVP.2014.7013277.
  • Raghavan, Vijay & Chu, Shixian & Chen, Jin-Feng & Chu, Chee-Hung & Wu, Zonghuan. (2014). Method and apparatus for information visualized expression, and visualized human computer interactive expression interface thereof.
  • Chu, Shixian & Chen, Jinfeng & Wu, Zonghuan & Chu, Chee-Hung & Raghavan, Vijay. (2014). Method and apparatus for information visualized expression, and visualized human computer interactive expression interface thereof.
  • He, Qiang & Chu, Chee-Hung & Camargo, Aldo. (2013). Object detection and tracking under planar constraints. Proceedings of SPIE - The International Society for Optical Engineering. 8713. 871315. 10.1117/12.2015645.
  • Singh, Anurag & Pratt, Michael & Chu, Chee-Hung. (2013). Visual saliency approach to anomaly detection in an image ensemble. 8750. 87500T. 10.1117/12.2017623.
  • He, Qiang & Chu, Chee-Hung. (2013). A New Shadow Removal Method for Color Images. Advances in Remote Sensing. 02. 77-84. 10.4236/ars.2013.22011.
  • Singh, Anurag & Pratt, Michael & Chu, Chee-Hung. (2012). Compressive sampling approach to visual attention in image scene analysis. Proceedings of SPIE - The International Society for Optical Engineering. 8401. 15-. 10.1117/12.920908.
  • He, Qiang & Chu, Chee-Hung. (2012). Fundamental matrix and planar homographies in stereo vision. 8401. 37-. 10.1117/12.919709.
  • He, Qiang & Chu, Chee-Hung. (2011). Lane Detection Using Road Planar Information. 10.1117/12.884444.
  • He, Qiang & Chu, Chee-Hung. (2011). Layer-based Object Detection and Tracking with Graph Matching. Proceedings of SPIE - The International Society for Optical Engineering. 8020. 10.1117/12.883508.
  • He, Qiang & Chu, Chee-Hung. (2011). Image Segmentation Using Maximum Spanning Tree on Affinity Matrix. 10.5772/15589.
  • Zhang, Yun & Chu, Chee-Hung. (2011). Ray Projection for Recovering Projective Transformations and Illumination Changes. IEEE transactions on pattern analysis and machine intelligence. 33. 446-58. 10.1109/TPAMI.2010.96.
  • Thainimit, Somying & Sreecholpech, Chirayuth & Areekul, Vutipong & Chu, Chee-Hung. (2011). Robust Iris Segmentation Based on Local Image Gradient Properties. IEICE Transactions. 94-D. 349-356. 10.1587/transinf.E94.D.349.
  • Zhang, Yun & Chu, Chee-Hung. (2010). One-Dimensional Mapping for Estimating Projective Transformations. Image Processing, IEEE Transactions on. 19. 3049 - 3058. 10.1109/TIP.2010.2050724.
  • He, Qiang & Chu, Chee-Hung. (2010). Planar Surface Detection and Extraction in Image Pair Taken under Urban Environment. 7697. 10.1117/12.849928.
  • Wang, Jiaqin & Pratt, Michael & Chu, Chee-Hung. (2010). Variable patch sizes for normalized cross correlation in image pairs. Proceedings of SPIE - The International Society for Optical Engineering. 7703. 10.1117/12.853683.
  • He, Qiang & Chu, Chee-Hung. (2010). Remote Sensing Image Enhancement Integrating Its Local Statistical Characteristics. 10.1117/12.838472.
  • Wang, Lu & Chu, Chee-Hung. (2009). 3D building reconstruction from LiDAR data. 3054 - 3059. 10.1109/ICSMC.2009.5345938.
  • He, Qiang & Chu, Chee-Hung. (2009). Shadow removal from textured images. 10.1117/12.818983.
  • He, Qiang & Chu, Chee-Hung. (2009). Detection of reflecting surfaces by a statistical model. Proc SPIE. 10.1117/12.805761.
  • He, Qiang & Chu, Chee-Hung. (2008). Texture-Based Shadow Removal from a Single Color Image. 644-650. 10.1007/978-3-540-89646-3_63.
  • Pratt, Michael & Konda, Sharath & Chu, Chee-Hung. (2008). Texture-based image steganalysis by artificial neural networks. International Journal of Intelligent Computing and Cybernetics. 1. 549-562. 10.1108/17563780810919122.
  • Zhang, Yun & Chu, Chee-Hung. (2008). Inverse-polar ray projection for recovering projective transformations. 1 - 7. 10.1109/CVPR.2008.4587698.
  • Wang, Lu & Chu, Chee-Hung. (2008). Graph theoretic segmentation of airborne LiDAR data. 6979. 10.1117/12.777869.
  • He, Qiang & Chu, Chee-Hung. (2008). A New Image Segmentation Technique Using Maximum Spanning Tree. 4958. 197-204. 10.1007/978-3-540-78275-9_17.
  • He, Qiang & Schultz, Richard & Chu, Chee-Hung. (2008). Efficient super-resolution image reconstruction applied to surveillance video captured by small unmanned aircraft systems. Proc SPIE. 6968. 10.1117/12.767826.
  • He, Qiang & Chu, Chee-Hung. (2007). Intrinsic Images by Fisher Linear Discriminant. 4842. 349-356. 10.1007/978-3-540-76856-2_34.
  • Chiewchanwattana, Sirapat & Lursinsap, Chidchanok & Chu, Chee-Hung. (2007). Imputing incomplete time-series data based on varied-window similarity measure of data sequences. Pattern Recognition Letters. 28. 1091-1103. 10.1016/j.patrec.2007.01.008.
  • Sunat, Khamron & Lursinsap, Chidchanok & Chu, Chee-Hung. (2007). The. Neural Computing and Applications. 16. 33-47.
  • He, Qiang & Chu, Chee-Hung. (2007). Lane Detection and Tracking through Affine Rectification.. 536-539.
  • Sunat, Khamron & Lursinsap, Chidchanok & Chu, Chee-Hung. (2007). The p-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons. Neural Computing and Applications. 16. 33-47. 10.1007/s00521-006-0046-x.
  • He, Qiang & Chu, Chee-Hung. (2006). Planar Surface Detection in Image Pairs Using Homographic Constraints. 19-27. 10.1007/11919476_3.
  • He, Qiang & Chu, Chee-Hung. (2006). Recovering Intrinsic Images from Weighted Edge Maps. 159-162. 10.1109/IIH-MSP.2006.150.
  • Sunat, Khamron & Lursinsap, Chidchanok & Chu, Chee-Hung. (2007). The p-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons. Neural Computing and Applications. 16. 33-47. 10.1007/s00521-006-0046-x.
  • Benton, Ryan & Chu, Chee-Hung. (2006). Camera Pose Estimation by an Artificial Neural Network. 4233. 604-611. 10.1007/11893257_68.
  • He, Qiang & Chu, Chee-Hung. (2006). An Efficient Vanishing Point Detection by Clustering on the Normalized Unit Sphere. 203 - 207. 10.1109/CAMP.2007.4350382.
  • Rawat, Kuldeep & Chu, Chee-Hung. (2005). Deformable block motion compensation scheme for aerial video surveillance coding. 10.1117/12.616007.
  • Kubola, Kanuengnij & Chu, Chee-Hung. (2005). Connectivity compression for three-dimensional planar triangle meshes. 2005. 837 - 841. 10.1109/IV.2005.37.
  • Benton, Ryan & Chu, Chee-Hung. (2005). Soft computing approach to steganalysis of LSB embedding in digital images. ITRE 2005 - 3rd International Conference on Information Technology: Research and Education - Proceedings. 2005. 105 - 109. 10.1109/ITRE.2005.1503077.
  • Doloc-Mihu, Anca & Raghavan, Vijay & Karnatapu, Surendra & Chu, Chee-Hung. (2005). An interface for the visualization of image databases in adaptive image retrieval systems (AIRS). Proceedings of SPIE - The International Society for Optical Engineering. 10.1117/12.592258.
  • Wettayaprasit, Wiphada & Lursinsap, Chidchanok & Chu, Chee-Hung. (2004). Extracting linguistic quantitative rules from supervised neural networks. KES Journal. 8. 161-170. 10.3233/KES-2004-8304.
  • Noel, Steven & Raghavan, Vijay & Chu, Chee-Hung. (2004). Document Clustering, Visualization, and Retrieval Link Mining. Clustering and Information Retrieval, Network Theory and Applications. 11. 10.1007/978-1-4613-0227-8_6.
  • Chiewchanwattana, Sirapat & Lursinsap, Chidchanok & Chu, Chee-Hung. (2004). A Reconstructed Missing Data-Finite Impulse Response Selective Ensemble (RMD-FSE) Network. 10.1007/978-3-540-39935-3_7.
  • Noel, Steven & Chu, Chee-Hung & Raghavan, Vijay. (2003). Co-Citation Count vs Correlation for Influence Network Visualization. Information Visualization. 3. 160-170. 10.1057/palgrave.ivs.9500049.
  • Thainimit, Somying & Chu, Chee-Hung. (2003). Illumination correction in digital images. 4 pp. - 4. 10.1109/CAMP.2003.1598142.
  • Chiewchanwattana, Sirapat & Lursinsap, Chidchanok & Chu, Chee-Hung. (2002). Time-series data prediction based on reconstruction of missing samples and selective ensembling of FIR neural networks. 2152 - 2156 vol.5. 10.1109/ICONIP.2002.1201873.
  • Wettayaprasit, Wiphada & Lursinsap, Chidchanok & Chu, Chee-Hung. (2002). Rule extraction from neural networks using fuzzy sets. 2582 - 2586 vol.5. 10.1109/ICONIP.2002.1201962.
  • Thainimit, Somying & Chu, Chee-Hung. (2002). Illumination mipmaps for texture mapping in computational video. 75 - 81. 10.1109/DCV.2002.1218746.
  • Noel, Steven & Chu, Chee-Hung & Raghavan, Vijay. (2002). Visualization of Document Co-Citation Counts. 691-696. 10.1109/IV.2002.1028850.
  • Noel, Steven & Raghavan, Vijay & Chu, Chee-Hung. (2001). Visualizing Association Mining Results through Hierarchical Clusters. 425-432.
  • Efe, Kemal & Raghavan, Vijay & Chu, Chee-Hung & Broadwater, Adrienne & Bolelli, Levent & Ertekin, Seyda. (2000). The Shape of the Web and Its Implications for Searching the Web.
  • Chu, Chee-Hung & Wiltz, Anthony. (1999). Luminance channel modulated watermarking of digital images. 3723. 10.1117/12.342956.
  • Noel, Steven & Szu, Harold & Tzeng, Nian Feng & Chu, Chee-Hung. (1999). Video Compression With Embedded Wavelet Coding and Singularity Maps. 3723. 10.1117/12.342947.
  • Breaux, Nancy & Chu, Chee-Hung. (1999). Halftoning for color-indexed displays. 3. 597 - 601 vol.3. 10.1109/ICIP.1999.817185.
  • Watunyuta, W. & Chu, Chee-Hung. (1997). Voronoi tessellation-based spatial domain analysis of digital halftoning methods. Optics Communications - OPT COMMUN. 140. 110-118. 10.1016/S0030-4018(97)00009-6.
  • Breaux, Nancy & Chu, Chee-Hung. (1997). Wavelet methods for compression, rendering, and descreening in digital halftoning. 10.1117/12.271757.
  • Sidman, Robert & Chu, Chee-Hung & Lagerlund, Terrence. (1997). The compression of EEG waveforms using the wavelet transform. Electroencephalography and Clinical Neurophysiology. 102. 10.1016/S0013-4694(97)86298-0.
  • Chow, C. & Chu, Chee-Hung. (1997). A Concurrent Training Algorithm for Supervised Learning in Artificial Neural Networks.. J. Inf. Sci. Eng.. 13. 267-291.
  • Pratt, Michael & Chu, Chee-Hung & Wong, Stephen. (1996). Volume compression of MRI data using zerotrees of wavelet coefficients. 10.1117/12.255283.
  • Watunyuta, W. & Chu, Chee-Hung. (1996). A dither pattern ensemble method for digital halftoning. Optics Communications - OPT COMMUN. 129. 331-336. 10.1016/0030-4018(96)00203-9.
  • Sidman, R. & Chu, Chee-Hung & Semal, J. & Lagerlund, Terrence. (1996). COMPUTING ENVIRONMENT AND TOOLS FOR NETWORK-BASED INTERACTIVE NEUROSCIENCE DATA VISUALIZATION: B206. Journal of Clinical Neurophysiology - J CLIN NEUROPHYSIOL. 13. 440-441. 10.1097/00004691-199609000-00029.
  • Watunyuta, W. & Chu, Chee-Hung. (1996). A dither pattern ensemble method for digital halftoning. Optics Communications. 129. 331-336. 10.1016/S0030-4018(96)00203-9.
  • Aditya, Krishna & Chu, Chee-Hung & Szu, Harold. (1996). Aerospace/Defense Sensing and Controls. Proceedings of SPIE - The International Society for Optical Engineering. 654-665. 10.1117/12.236037.
  • Aditya, Sri-Krishna & Chu, Chee-Hung & Szu, Harold. (1996). Application of adaptive subband coding for noisy bandlimited ECG signal processing. 10.1117/12.236040.
  • Sidman, R & Chu, Chee-Hung & Efe, Kemal. (1996). Source localization and bioelectric imaging as it relates to continuous waveform analysis. Electroencephalography and clinical neurophysiology. Supplement. 45. 9-21.
  • Aditya, Sri-Krishna & Chu, Chee-Hung & Szu, Harold. (1996). Fast algo-tectures for discrete wavelet transforms.
  • Razi, Daryoush & Chu, Chee-Hung. (1995). Realization of an alpha-trimmed mean filter on the threshold decomposition architecture. Optical Engineering - OPT ENG. 34. 2767-2771. 10.1117/12.210760.
  • Sri-Krishna, Aditya & Chu, Chee-Hung. (1995). Fast Fourier transform (FFT) based fast architecture and algorithm for discrete wavelet transforms. Proceedings of SPIE - The International Society for Optical Engineering. 1028-1034. 10.1117/12.205461.
  • Chu, Chee-Hung. (1994). Genetic algorithm approach to the configuration of wavelet packet processing tree. 53 - 56 vol.3. 10.1109/ICPR.1994.577121.
  • Chow, C.R. & Chu, Chee-Hung. (1994). On the configuration of multilayered feedforward networks by an evolutionary process. 531 - 534 vol.1. 10.1109/MWSCAS.1994.519294.
  • Chu, Chee-Hung. (1994). Data Compression by Multiresolution Tree Search. Optical Engineering - OPT ENG. 33. 2136-2142. 10.1117/12.172251.
  • Chu, Chee-Hung. (1994). Genetic algorithm search of multiresolution tree with applications in data compression. 10.1117/12.170099.
  • Chu, Chee-Hung & Chow, C.R.. (1994). Fault-tolerance inclusion in neural networks by a concurrenttraining algorithm. 149-154 vol.1. 10.1109/ICNN.1994.374154.
  • Chu, Chee-Hung & Kim, J & Kim, I. (1994). Applications of binary neural networks learning to patternclassification. 907-911 vol.2. 10.1109/ICNN.1994.374301.
  • Chu, Chee-Hung & Kim, Huhn. (1993). Pattern classification by geometrical learning of binary neural networks. 10.1109/IJCNN.1993.714090.
  • Chu, Chee-Hung & Watunyuta, W.. (1992). Designing dither matrices using a human visual model. Proceedings of SPIE - The International Society for Optical Engineering. 10.1117/12.135962.
  • Chu, Chee-Hung & Kottapalli, M.. (1991). Visual Communications, '91, Boston, MA. Proceedings of SPIE - The International Society for Optical Engineering. 470-481. 10.1117/12.50379.
  • Chu, Chee-Hung & Kottapalli, M.. (1991). Genetic algorithm approach to visual model-based halftone pattern design. Proceedings of SPIE - The International Society for Optical Engineering. 470-481.
  • Seetharaman, Guna & Chu, Chee-Hung. (1991). Hierarchical fusion of geometric constraints for image segmentation. 10.1117/12.25298.
  • Rao, K.B. & Efe, Kemal & Chu, Chee-Hung. (1990). Parallel optimization of stack filters. 511-514. 10.1109/FMPC.1990.89505.
  • Chu, Chee-Hung & Razi, Hamir. (1990). A nonlinear multiresolution approach to echocardiographic image segmentation. Physica B-condensed Matter - PHYSICA B. 431 - 434. 10.1109/CIC.1990.144250.
  • Chu, Chee-Hung. (1990). A spatial summation model for image processing by artificial neuralnetworks. 537-543 vol.1. 10.1109/IJCNN.1990.137620.
  • Chu, Chee-Hung & Sahoo, A.. (1990). Sinusoidal responses of nonlinear signal processing operators. 168-171 vol.1. 10.1109/ISCAS.1990.111953.
  • Efe, Kemal & Chu, Chee-Hung & Rao, K.B.. (1990). The configuration of stack filters by probabilistic search. 172 - 176 vol.1. 10.1109/ISCAS.1990.111954.
  • Seetharaman, Guna & Chu, Chee-Hung. (1990). Image segmentation by multisensor data-fusion. 583 - 587. 10.1109/SSST.1990.138212.
  • Chu, Chee-Hung & Delp, Edeard. (1989). Impulsive Noise Suppression and Background Normalization of Electrocardiogram Signals Using Morphological Operators. Biomedical Engineering, IEEE Transactions on. 36. 262 - 273. 10.1109/10.16474.
  • Chu, Chee-Hung. (1989). A Genetic Algorithm Approach to the Configuration of Stack Filters.. 219-224.
  • Chu, Chee-Hung & Delp, E.J.. (1988). Electrocardiogram signal processing by morphological operators. Journal of Arthroplasty - J ARTHROPLASTY. 153 - 156. 10.1109/CIC.1988.72588.
  • Chu, Chee-Hung & Delp, E.J.. (1988). Detecting heart wall boundaries by tracking features in an echocardiogram sequence. Journal of Arthroplasty - J ARTHROPLASTY. 117 - 120. 10.1109/CIC.1988.72579.
  • Chu, Chee-Hung. A Genetic Approach to the Configuration of Stack Filters.
  • Sidman, R & Chu, Chee-Hung. Tree-Pruning Methods in Wavelet-Based Signal Processing.
  • Vidal, Pedro & Chu, Chee-Hung & Biesseck, Bernardo & Granada, Roger & Führ, Gustavo & Menotti, David. (2023). Extending Earth Mover's Distance to Occluded Face Verification. 49-54. 10.1109/SIBGRAPI59091.2023.10347147.
  • Chang, Lin-Ching & Chu, Henry & Kolluru, Ramesh & Foo, Simon & Wu, Jerry & Szu, Harold. (2019). MOJABB-03-00094 3rd Wave AI. MOJ Applied Bionics and Biomechanics. 3. 10.15406/mojabb.2019.03.00094.
  • Dong W Shi G Zhang L (2007) Immune memory clonal selection algorithms for designing stack filters Neurocomputing 10.1016/j. neucom. 2006.10. 037 70: 4-6 (777-784) Online publication date: 1-Jan-2007