Multiobjective permutation flowshop scheduling by an adaptive genetic local search algorithm. - Hsueh-Chien Cheng; Tsung-Che Chiang; Li-Chen Fu (IEEE Congress on Evolutionary Computation, 2008)

An Efficient Heuristic for Minimizing Maximum Lateness on Parallel Batch Machines. - Tsung-Che Chiang; Hsueh-Chien Cheng; Li-Chen Fu (ISDA (2), 2008)

A memetic algorithm for parallel batch machine scheduling with incompatible job families and dynamic job arrivals. - Hsueh-Chien Cheng; Tsung-Che Chiang; Li-Chen Fu (SMC, 2008)

Multiobjective lot scheduling and dynamic OHT routing in a 300-mm wafer fab. - Jia-Wei Yang; Hsueh-Chien Cheng; Tsung-Che Chiang; Li-Chen Fu (SMC, 2008)

Multiobjective job shop scheduling using memetic algorithm and shifting bottleneck procedure. - Hsueh-Chien Cheng; Tsung-Che Chiang; Li-Chen Fu (CISched, 2009)

Multiobjective Permutation Flow Shop Scheduling Using a Memetic Algorithm with an NEH-Based Local Search. - Tsung-Che Chiang; Hsueh-Chien Cheng; Li-Chen Fu (ICIC (1), 2009)

A memetic algorithm for minimizing total weighted tardiness on parallel batch machines with incompatible job families and dynamic job arrival. - Tsung-Che Chiang; Hsueh-Chien Cheng; Li-Chen Fu (Comput. Oper. Res., 2010)

Visual Analysis of Temporal Trends in Social Networks Using Edge Color Coding and Metric Timelines. - Udayan Khurana; Viet-An Nguyen; Hsueh-Chien Cheng; Jae-wook Ahn; Xi Stephen Chen; Ben Shneiderman (SocialCom/PASSAT, 2011)

A two-stage hybrid memetic algorithm for multiobjective job shop scheduling. - Hsueh-Chien Cheng; Tsung-Che Chiang; Li-Chen Fu (Expert Syst. Appl., 2011)

NNMA: An effective memetic algorithm for solving multiobjective permutation flow shop scheduling problems. - Tsung-Che Chiang; Hsueh-Chien Cheng; Li-Chen Fu (Expert Syst. Appl., 2011)

NetworkViewer: visualizing biochemical reaction networks with embedded rendering of molecular interaction rules. - Hsueh-Chien Cheng; Bastian Robert Angermann; Fengkai Zhang; Martin Meier-Schellersheim (BMC Syst. Biol., 2014)

Winnow: Interactive Visualization of Temporal Changes in Multidimensional Clinical Data. - Hsueh-Chien Cheng; Rainer von Coelln; Ann L. Gruber-Baldini; Lisa M. Shulman; Amitabh Varshney (BCB, 2017)

Deep-learning-assisted visualization for live-cell images. - Hsueh-Chien Cheng; Antonio Cardone; Eric Krokos; Bogdan Stoica; Alan Faden; Amitabh Varshney (ICIP, 2017)

Interactive exploration of microstructural features in gigapixel microscopy images. - Hsueh-Chien Cheng; Antonio Cardone; Amitabh Varshney (ICIP, 2017)

Volume segmentation using convolutional neural networks with limited training data. - Hsueh-Chien Cheng; Amitabh Varshney (ICIP, 2017)

Multimodal Biomedical Data Visualization: Enhancing Network, Clinical, and Image Data Depiction. - Hsueh-Chien Cheng (2017)

Enhancing Deep Learning with Visual Interactions. - Eric Krokos; Hsueh-Chien Cheng; Jessica Chang; Bohdan A. Nebesh; Celeste Lyn Paul; Kirsten Whitley; Amitabh Varshney (ACM Trans. Interact. Intell. Syst., 2019)

Deep-Learning-Assisted Volume Visualization. - Hsueh-Chien Cheng; Antonio Cardone; Somay Jain; Eric Krokos; Kedar Narayan; Sriram Subramaniam; Amitabh Varshney (IEEE Trans. Vis. Comput. Graph., 2019)

Screening for Obstructive Sleep Apnea Risk by Using Machine Learning Approaches and Anthropometric Features. - Cheng-Yu Tsai; Huei-Tyng Huang; Hsueh-Chien Cheng; Jieni Wang; Ping-Jung Duh; Wen-Hua Hsu; Marc Stettler; Yi-Chun Kuan; Yin-Tzu Lin; Chia-Rung Hsu; Kang-Yun Lee; Jiunn-Horng Kang; et al. (Sensors, 2022)