Detecting edge segments. - Edward J. Delp; Chee-Hung Henry Chu (IEEE Trans. Syst. Man Cybern., 1985)

A Genetic Algorithm Approach to the Configuration of Stack Filters. - Chee-Hung Henry Chu (ICGA, 1989)

A Model for an Intelligent Operating System for Executing Image Understanding Tasks on a Reconfigurable Parallel Architecture. - Chee-Hung Henry Chu; Edward J. Delp; Leah H. Jamieson; Howard Jay Siegel; Francis J. Weil; Andrew B. Whinston (J. Parallel Distributed Comput., 1989)

Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators. - Chee-Hung Henry Chu; Edward J. Delp (IEEE Trans. Biomed. Eng., 1989)

A spatial summation model for image processing by artificial neural networks. - Chee-Hung Henry Chu (IJCNN, 1990)

Genetic algorithm approach to the configuration of wavelet packet processing tree. - Chee-Hung Henry Chu (ICPR (3), 1994)

Book reviews. - Chee-Hung Henry Chu; Spyros G. Tzafestas (J. Intell. Robotic Syst., 1994)

A Concurrent Training Algorithm for Supervised Learning in Artificial Neural Networks. - C. R. Chow; Chee-Hung Henry Chu (J. Inf. Sci. Eng., 1997)

Halftoning for Color-Indexed Displays. - Nancy Breaux; Chee-Hung Henry Chu (ICIP (3), 1999)

Visualizing Association Mining Results through Hierarchical Clusters. - Steven Noel; Vijay V. Raghavan 001; Chee-Hung Henry Chu (ICDM, 2001)

Development of a Digital Video System for Remote Sensing of Coasts. - Scott Wilson; Chee-Hung Henry Chu (ITCC, 2001)

Quasi-Morphism and Comprehensibility of Rules in Inductive Learning. - Wiphada Wettayaprasit; Chidchanok Lursinsap; Chee-Hung Henry Chu (IEEE ICCI, 2002)

Illumination mipmaps for texture mapping in computational video. - Somying Thainimit; Chee-Hung Henry Chu (DCV, 2002)

Visualization of Document Co-Citation Counts. - Steven Noel; Chee-Hung Henry Chu; Vijay V. Raghavan 001 (IV, 2002)

Document Clustering, Visualization, and Retrieval Link Mining. - Steven Noel; Vijay V. Raghavan 001; Chee-Hung Henry Chu (Clustering and Information Retrieval, 2003)

Co-Citation count vs correlation for influence network visualization. - Steven Noel; Chee-Hung Henry Chu; Vijay V. Raghavan 001 (Inf. Vis., 2003)

Extracting linguistic quantitative rules from supervised neural networks. - Wiphada Wettayaprasit; Chidchanok Lursinsap; Chee-Hung Henry Chu (Int. J. Knowl. Based Intell. Eng. Syst., 2004)

Interface for visualization of image database in adaptive image retrieval systems (AIRS). - Anca Doloc-Mihu; Vijay V. Raghavan 001; Surendra Karnatapu; Chee-Hung Henry Chu (Visualization and Data Analysis, 2005)

Camera Pose Estimation by an Artificial Neural Network. - Ryan Gene Benton; Chee-Hung Henry Chu (ICONIP (2), 2006)

Recovering Intrinsic Images from Weighted Edge Maps. - Qiang He; Chee-Hung Henry Chu (IIH-MSP, 2006)

Planar Surface Detection in Image Pairs Using Homographic Constraints. - Qiang He; Chee-Hung Henry Chu (ISVC (1), 2006)

A Treemap-Based Result Interface for Search Engine Users. - Shixian Chu; Jinfeng Chen; Zonghuan Wu; Chee-Hung Henry Chu; Vijay V. Raghavan 001 (HCI (8), 2007)

Intrinsic Images by Fisher Linear Discriminant. - Qiang He; Chee-Hung Henry Chu (ISVC (2), 2007)

Lane Detection and Tracking through Affine Rectification. - Qiang He; Chee-Hung Henry Chu (MVA, 2007)

The p-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons. - Khamron Sunat; Chidchanok Lursinsap; Chee-Hung Henry Chu (Neural Comput. Appl., 2007)

Imputing incomplete time-series data based on varied-window similarity measure of data sequences. - Sirapat Chiewchanwattana; Chidchanok Lursinsap; Chee-Hung Henry Chu (Pattern Recognit. Lett., 2007)

Texture-Based Shadow Removal from a Single Color Image. - Qiang He; Chee-Hung Henry Chu (ISVC (2), 2008)

A New Image Segmentation Technique Using Maximum Spanning Tree. - Qiang He; Chee-Hung Henry Chu (IWCIA, 2008)

Texture-based image steganalysis by artificial neural networks. - Michael A. Pratt; Sharath Konda; Chee-Hung Henry Chu (Int. J. Intell. Comput. Cybern., 2008)

One-Dimensional Mapping for Estimating Projective Transformations. - Yun Zhang; Chee-Hung Henry Chu (IEEE Trans. Image Process., 2010)

Robust Iris Segmentation Based on Local Image Gradient Properties. - Somying Thainimit; Chirayuth Sreecholpech; Vutipong Areekul; Chee-Hung Henry Chu (IEICE Trans. Inf. Syst., 2011)

Multiresolution superpixels for visual saliency detection. - Anurag Singh; Chee-Hung Henry Chu; Michael A. Pratt (CIMSIVP, 2014)

Learning to Predict Video Saliency using Temporal Superpixels. - Anurag Singh; Chee-Hung Henry Chu; Michael A. Pratt (ICPRAM (2), 2015)

Visually salient features for highway scene analysis. - Anurag Singh; Chee-Hung Henry Chu; Michael A. Pratt (MVA, 2015)

Saliency Detection using Geometric Context Contrast Inferred from Natural Images. - Anurag Singh; Chee-Hung Henry Chu; Michael A. Pratt (VISAPP (1), 2015)

Comparing Color Descriptors between Image Segments for Saliency Detection. - Anurag Singh; Chee-Hung Henry Chu; Michael A. Pratt (ICPRAM, 2016)

Predicting Hospital Safety Measures using Patient Experience of Care Responses. - Michael A. Pratt; Chee-Hung Henry Chu (ICPRAM, 2018)

An integrated deep learning and dynamic programming method for predicting tumor suppressor genes, oncogenes, and fusion from PDB structures. - Nishanth Anandanadarajah; Chee-Hung Henry Chu; Rasiah Loganantharaj (Comput. Biol. Medicine, 2021)

DRN: Detection and Removal of Noisy Instances with Self Organizing Map. - Rashida Hasan; Chee-Hung Henry Chu (ICPRAI (2), 2022)

Noise in Datasets: What Are the Impacts on Classification Performance? - Rashida Hasan; Chee-Hung Henry Chu (ICPRAM, 2022)

Adversarial defense by restricting in-variance and co-variance of representations. - Jeevithan Alagurajah; Chee-Hung Henry Chu (SAC, 2022)

MAGAN: A Meta-Analysis for Generative Adversarial Networks' Latent Space. - Frederic Rizk; Rodrigue Rizk; Dominick Rizk; Chee-Hung Henry Chu (ICPRAM, 2023)

A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning. - Rashida Hasan; Chee-Hung Henry Chu (SAC, 2024)

Information Flow in Deep Learning Classification Networks. - Debanjali Banerjee; Chee-Hung Henry Chu (SAC, 2025)