Delayed product differentiation: a design and manufacturing perspective. - David He; Andrew Kusiak; Tzu-Liang Tseng (Comput. Aided Des., 1998)

Rough set approach to case-based reasoning application. - Chun-Che Huang; Tzu-Liang Tseng (Expert Syst. Appl., 2004)

Building Web Directories in Different Languages for Decision Support: A Semi-Automatic Approach. - Wingyan Chung; Guanpi Lai; Alfonso Bonillas; Theodore Elhourani; Tzu-Liang (Bill) Tseng; Hsinchun Chen (AMCIS, 2005)

Applying genetic algorithm for the development of the components-based embedded system. - Tzu-Liang (Bill) Tseng; Wen-Yau Liang; Chun-Che Huang; Tsung-Yu Chian (Comput. Stand. Interfaces, 2005)

An agent-based web services solution to collaborative product design. - Chun-Che Huang; Tzu-Liang (Bill) Tseng; Roger R. Gung; Hsuan-Shao Chang (Int. J. Knowl. Based Intell. Eng. Syst., 2005)

XML-Based Modeling of Corporate Memory. - Chun-Che Huang; Tzu-Liang Tseng; Andrew Kusiak (IEEE Trans. Syst. Man Cybern. Part A, 2005)

Capitalizing on knowledge: a novel approach to crucial-knowledge determination. - Tzu-Liang Tseng; Chun-Che Huang (IEEE Trans. Syst. Man Cybern. Part A, 2005)

Models of multi-dimensional analysis for qualitative data and its application. - Chun-Che Huang; Tzu-Liang Tseng; Ming-Zhong Li; Roger R. Gung (Eur. J. Oper. Res., 2006)

A hybrid data mining approach to quality assurance of manufacturing process. - Chun-Che Huang; Yu-Neng Fan; Tzu-Liang Tseng; Chia Hsun Lee; Horng-Fu Chuang (FUZZ-IEEE, 2008)

Design support systems: A case study of modular design of the set-top box from design knowledge externalization perspective. - Tzu-Liang (Bill) Tseng; Chun-Che Huang (Decis. Support Syst., 2008)

Minimizing the normalized sum of square for workload deviations on m parallel processors. - Johnny C. Ho; Tzu-Liang (Bill) Tseng; Alex J. Ruiz-Torres; Francisco J. López (Comput. Ind. Eng., 2009)

Rule induction based on an incremental rough set. - Yu-Neng Fan; Tzu-Liang (Bill) Tseng; Ching-Chin Chern; Chun-Che Huang (Expert Syst. Appl., 2009)

Analytical Knowledge Warehousing for Business Intelligence. - Chun-Che Huang; Tzu-Liang Tseng (Encyclopedia of Data Warehousing and Mining, 2009)

Extracting Business Intelligence from Online Product Reviews: An Experiment of Automatic Rule-Induction. - Wingyan Chung; Tzu-Liang (Bill) Tseng (ICIS, 2010)

A hybrid algorithm for capacitated plant location problem. - Ming-Che Lai; Hansuk Sohn; Tzu-Liang (Bill) Tseng; Chunkuan Chiang (Expert Syst. Appl., 2010)

A rough set based approach to patent development with the consideration of resource allocation. - Chun-Che Huang; Wen-Yau Liang; Shian-Hua Lin; Tzu-Liang (Bill) Tseng; Hui-Yi Chiang (Expert Syst. Appl., 2011)

Autonomous rule induction from data with tolerances in customer relationship management. - Tzu-Liang (Bill) Tseng; Chun-Che Huang; Yu-Neng Fan (Expert Syst. Appl., 2011)

A rough set based approach to distributor selection in supply chain management. - Zhonghai Zou; Tzu-Liang (Bill) Tseng; Hansuk Sohn; Guofang Song; Rafael Gutierrez (Expert Syst. Appl., 2011)

Minimizing total weighted flowtime subject to minimum makespan on two identical parallel machines. - Johnny C. Ho; Francisco J. López; Alex J. Ruiz-Torres; Tzu-Liang (Bill) Tseng (J. Intell. Manuf., 2011)

A novel hybrid approach based on wavelet transform and fuzzy ARTMAP network for predicting wind farm power production. - Ashraf Ul Haque; Paras Mandal; Julian Meng; Anurag K. Srivastava 001; Tzu-Liang (Bill) Tseng; Tomonobu Senjyu (IAS, 2012)

E-quality: Using dimensional index values for improving classification accuracy. - Tzu-Liang Tseng; Yongjin James Kwon; Prashanth Devaram (Concurr. Eng. Res. Appl., 2012)

The evaluation of intelligent agent performance - An example of B2C e-commerce negotiation. - Wen-Yau Liang; Chun-Che Huang; Tzu-Liang (Bill) Tseng; Yin-Chen Lin; Juotzu Tseng (Comput. Stand. Interfaces, 2012)

Discovering business intelligence from online product reviews: A rule-induction framework. - Wingyan Chung; Tzu-Liang (Bill) Tseng (Expert Syst. Appl., 2012)

Alternative rule induction methods based on incremental object using rough set theory. - Chun-Che Huang; Tzu-Liang (Bill) Tseng; Yu-Neng Fan; Chih-Hua Hsu (Appl. Soft Comput., 2013)

Corrigendum to "Discovering business intelligence from online product reviews: A rule-induction framework" [Expert Systems with Applications 39 (15) (2012) 11870-11879]. - Wingyan Chung; Tzu-Liang (Bill) Tseng (Expert Syst. Appl., 2013)

Agile Rough Set Based Rule Induction to Sustainable Service and Energy Provision. - Chun-Che Huang; Tzu-Liang (Bill) Tseng; Yu-Sheng Liu; Jun-Wei Chu; Po-An Chen (ICSEng, 2014)

Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method. - Wenqing Sun; Tzu-Liang Tseng; Bin Zheng 001; Fleming Lure; Teresa Wu; Giulio Francia; Sergio Cabrera; Jianying Zhang; Miguel Vélez-Reyes; Wei Qian 001 (Computer-Aided Diagnosis, 2014)

Rough set theory: a novel approach for extraction of robust decision rules based on incremental attributes. - Chun-Che Huang; Tzu-Liang (Bill) Tseng; Fuhua Jiang; Yu-Neng Fan; Chih-Hua Hsu (Ann. Oper. Res., 2014)

Automated quality characterization of 3D printed bone scaffolds. - Tzu-Liang Bill Tseng; Aditya Chilukuri; Sang C. Park; Yongjin James Kwon (J. Comput. Des. Eng., 2014)

Characterization of machining quality attributes based on spindle probe, coordinate measuring machine, and surface roughness data. - Tzu-Liang Bill Tseng; Yongjin James Kwon (J. Comput. Des. Eng., 2014)

A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms. - Wenqing Sun; Tzu-Liang Bill Tseng; Bin Zheng 001; Jianying Zhang; Wei Qian 001 (Computer-Aided Diagnosis, 2015)

Hybrid Type II fuzzy system & data mining approach for surface finish. - Tzu-Liang (Bill) Tseng; Fuhua Jiang; Yongjin James Kwon (J. Comput. Des. Eng., 2015)

A Preliminary Study on Breast Cancer Risk Analysis Using Deep Neural Network. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Bin Zheng 001; Wei Qian 001 (Digital Mammography / IWDM, 2016)

A Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Bin Zheng 001; Jiangying Zhang; Wei Qian 001 (Digital Mammography / IWDM, 2016)

Computerized lung cancer malignancy level analysis using 3D texture features. - Wenqing Sun; Xia Huang; Tzu-Liang Tseng; Jianying Zhang; Wei Qian 001 (Computer-Aided Diagnosis, 2016)

Feature extraction using rough set theory in service sector application from incremental perspective. - Chun-Che Huang; Tzu-Liang (Bill) Tseng; Chia-Ying Tang (Comput. Ind. Eng., 2016)

Computerized breast cancer analysis system using three stage semi-supervised learning method. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Jianying Zhang; Wei Qian 001 (Comput. Methods Programs Biomed., 2016)

Rough set based rule induction in decision making using credible classification and preference from medical application perspective. - Tzu-Liang (Bill) Tseng; Chun-Che Huang; Kym Fraser; Hsien-Wei Ting (Comput. Methods Programs Biomed., 2016)

Novel Approach to Tourism Analysis with Multiple Outcome Capability Using Rough Set Theory. - Chun-Che Huang; Tzu-Liang (Bill) Tseng; Kun-Cheng Chen (Int. J. Comput. Intell. Syst., 2016)

E-quality control: A support vector machines approach. - Tzu-Liang (Bill) Tseng; Kalyan Reddy Aleti; Zhonghua Hu; Yongjin James Kwon (J. Comput. Des. Eng., 2016)

A novel approach to predict surface roughness in machining operations using fuzzy set theory. - Tzu-Liang (Bill) Tseng; Udayvarun Konada; Yongjin James Kwon (J. Comput. Des. Eng., 2016)

The rough set based approach to generic routing problems: case of reverse logistics supplier selection. - Chun-Che Huang; Wen-Yau Liang; Tzu-Liang Tseng; Ping-Houa Chen (J. Intell. Manuf., 2016)

Identification of Opinion Leaders and Followers in Social Media. - Chun-Che Huang; Li-Ching Lien; Po-An Chen; Tzu-Liang Tseng; Shian-Hua Lin (DATA, 2017)

Automatic lung nodule graph cuts segmentation with deep learning false positive reduction. - Wenqing Sun; Xia Huang; Tzu-Liang Bill Tseng; Wei Qian 001 (Computer-Aided Diagnosis, 2017)

Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Jianying Zhang; Wei Qian 001 (Comput. Medical Imaging Graph., 2017)

Quantifying system structural complexity using design structure matrices. - Aditya Akundi; Eric Smith; Tzu-Liang Tseng; Ileana Rubio (SysCon, 2018)

An attempt to understand information processing capability in complex networks. - Aditya Akundi; Eric Smith; Tzu-Liang Tseng; Ileana Rubio (SysCon, 2018)

INCOSE SE handbook v3.2 and v4.0 analysis of context diagrams set. - Aditya Akundi; Eric Smith; Tzu-Liang Tseng; Ileana Rubio (SysCon, 2018)

A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms. - Wenqing Sun; Tzu-Liang (Bill) Tseng; Wei Qian 001; Edward C. Saltzstein; Bin Zheng 001; Hui Yu; Shi Zhou (Comput. Methods Programs Biomed., 2018)

Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity. - Yuxin Wen; Jianguo Wu; Devashish Das; Tzu-Liang (Bill) Tseng (Reliab. Eng. Syst. Saf., 2018)

Information entropy applied to software based control flow graphs. - Aditya Akundi; Eric Smith; Tzu-Liang Tseng (Int. J. Syst. Assur. Eng. Manag., 2018)

Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks. - Xia Huang; Wenqing Sun; Tzu-Liang (Bill) Tseng; Chunqiang Li; Wei Qian 001 (Comput. Medical Imaging Graph., 2019)

Evaluation of intelligent agents in consumer-to-business e-Commerce. - Chih-Chin Liang; Wen-Yau Liang; Tzu-Liang Tseng (Comput. Stand. Interfaces, 2019)

Multiple-Change-Point Modeling and Exact Bayesian Inference of Degradation Signal for Prognostic Improvement. - Yuxin Wen; Jianguo Wu; Qiang Zhou 002; Tzu-Liang Tseng (IEEE Trans Autom. Sci. Eng., 2019)

A Heijunka Study for Automotive Assembly Using Discrete-Event Simulation: A Case Study. - Ivan Arturo Renteria-Marquez; Carmen Noemi Almeraz; Tzu-Liang Bill Tseng; Anabel Renteria (WSC, 2020)

Adaptive Minimum Confidence Region Rule for Multivariate Initialization Bias Truncation in Discrete-Event Simulations. - Jianguo Wu; Honglun Xu; Feng Ju; Tzu-Liang (Bill) Tseng (Technometrics, 2020)

Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty. - Yuxin Wen; Donna AlHakeem; Paras Mandal; Shantanu Chakraborty; Yuan-Kang Wu; Tomonobu Senjyu; Sumit Paudyal; Tzu-Liang Tseng (IEEE Trans. Neural Networks Learn. Syst., 2020)

Identifying the Thematic Trends of Model Based Systems Engineering in Manufacturing and Production Engineering Domains. - Aditya Akundi; Viviana Lopez; Tzu-Liang Bill Tseng (SysCon, 2021)

A Novel Approach to Behavior Design for Model Based Systems Engineering Application Using Design Structure Matrix. - Aditya Akundi; Tzu-Liang Bill Tseng; Carmen Noemi Almeraz; Rocio J. Lopez-Terrazas; Hebin Luan (SysCon, 2021)

Preface: Data-driven Decision Making - Theory, Methods, and Applications. - Ching-Ter Chang; Chun-Che Huang; Tzu-Liang (Bill) Tseng (Appl. Soft Comput., 2021)

Quantity discount coordination for supply chains with deteriorating inventory. - Yeu-Shiang Huang; Jyh-Wen Ho; Hong-Jin Jian; Tzu-Liang (Bill) Tseng (Comput. Ind. Eng., 2021)

Decisions on Probabilistic Selling for Consumers with Different Risk Attitudes. - Yeu-Shiang Huang; Tzu-Yi Wu; Chih-Chiang Fang; Tzu-Liang (Bill) Tseng (Decis. Anal., 2021)

The effect of visualisation on user experience in recommender systems. - Wen-Yau Liang; Chun-Che Huang; Tzu-Liang Tseng; Zih-Yan Wang (Inf. Res., 2021)

A customized warranty model by considering multi-usage levels for the leasing industry. - Yeu-Shiang Huang; Jyh-Wen Ho; Jin-Wei Hung; Tzu-Liang (Bill) Tseng (Reliab. Eng. Syst. Saf., 2021)

Online Model-based Systems Engineering (MBSE) Bootcamp: A Report on Two Day Workforce Development Workshop. - Aditya Akundi; Oscar Mondragon; Mayra Ortiz; Tzu-Liang Bill Tseng; Sergio Luna; Viviana Lopez (SysCon, 2022)

A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection. - Md Fashiar Rahman; Tzu-Liang (Bill) Tseng; Jianguo Wu; Yuxin Wen; Yirong Lin (Artif. Intell. Eng. Des. Anal. Manuf., 2022)

Improving lung region segmentation accuracy in chest X-ray images using a two-model deep learning ensemble approach. - Md Fashiar Rahman; Yan Zhuang; Tzu-Liang (Bill) Tseng; Michael Pokojovy; Peter McCaffrey; Eric Walser; Scott Moen; Alex Vo (J. Vis. Commun. Image Represent., 2022)

Optimal Warranty Policy for Consumer Electronics with Dependent Competing Failure Processes. - Yeu-Shiang Huang; Chih-Chiang Fang; Chang-Ming Lu; Tzu-Liang (Bill) Tseng (Reliab. Eng. Syst. Saf., 2022)

A Simulation-Based Approach for Line Balancing Under Demand Uncertainty in Production Environment. - S. M. Atikur Rahman; Md Fashiar Rahman; Tzu-Liang Bill Tseng; Tamanna Kamal (WSC, 2023)

Cyber-Physical Production System Framework for Production Scheduling in Smart Factories. - Ivan Arturo Renteria-Marquez; Jose Carlos Garcia Marquez Basaldua; Oswaldo Aguirre; Bryan Eduardo Lara-Medrano; Tzu-Liang Bill Tseng (WSC, 2024)

Multi-modal learning for inpatient length of stay prediction. - Junde Chen; Yuxin Wen; Michael Pokojovy; Tzu-Liang (Bill) Tseng; Peter McCaffrey; Alex Vo; Eric Walser; Scott Moen (Comput. Biol. Medicine, 2024)

A Novel Approach for Defect Detection of Wind Turbine Blade Using Virtual Reality and Deep Learning. - Md. Fazle Rabbi; Solayman Hossain Emon; Ehtesham Mahmud Nishat; Tzu-Liang Tseng; Atira Ferdoushi; Chun-Che Huang; Md Fashiar Rahman (CoRR, 2024)

A Study on Optimal Release Schedule for Multiversion Software. - Yeu-Shiang Huang; Chih-Chiang Fang; Chun-Hsuan Chou; Tzu-Liang (Bill) Tseng (INFORMS J. Comput., 2024)

A Digital Twin Framework With Bayesian Optimization and Deep Learning for Semiconductor Process Control. - Chin-Yi Lin; Tzu-Liang Tseng; Tsung-Han Tsai 004 (IEEE Access, 2025)

A Digital Twin Framework With Meta- and Transfer Learning for Scalable Multi-Machine Modeling and Optimization in Semiconductor Manufacturing. - Chin-Yi Lin; Tzu-Liang Tseng; Tsung-Han Tsai 004 (IEEE Access, 2025)

Uncertainty-Guided Semi-Supervised (UGSS) mean teacher framework for brain hemorrhage segmentation and volume quantification. - Solayman Hossain Emon; Tzu-Liang (Bill) Tseng; Michael Pokojovy; Scott Moen; Peter McCaffrey; Eric Walser; Alex Vo; Md Fashiar Rahman (Biomed. Signal Process. Control., 2025)

Large Pre-Trained Models and Few-Shot Fine-Tuning for Virtual Metrology: A Framework for Uncertainty-Driven Adaptive Process Control in Semiconductor Manufacturing. - Chin-Yi Lin; Tzu-Liang Tseng; Solayman Hossain Emon; Tsung-Han Tsai 004 (IEEE Trans Autom. Sci. Eng., 2025)

Generative AI for Intelligent Manufacturing Virtual Assistants in the Semiconductor Industry. - Chin-Yi Lin; Tsung-Han Tsai 004; Tzu-Liang Tseng (IEEE Robotics Autom. Lett., 2025)