A Stepwise Refinement Data Path Synthesis Procedure for Easy Testability. - Taewhan Kim 001; Ki-Seok Chung; Chien-Liang Liu (EDAC-ETC-EUROASIC, 1994)

Low power multiplexer decomposition. - Unni Narayanan; Hon Wai Leong; Ki-Seok Chung; Chien-Liang Liu (ISLPED, 1997)

Behavioral-level partitioning for low power design in control-dominated application. - Ki-Seok Chung; Taewhan Kim 001; Chien-Liang Liu (ACM Great Lakes Symposium on VLSI, 2000)

A Static Estimation Technique of Power Sensitivity in Logic Circuits. - Taewhan Kim 001; Ki-Seok Chung; Chien-Liang Liu (DAC, 2001)

An Integrated Data Path Optimization for Low Power Based on Network Flow Method. - Chun-Gi Lyuh; Taewhan Kim 001; Chien-Liang Liu (ICCAD, 2001)

A Distributed Intrusion Detection Model for the Domain Name System. - Chang-Sheng Chen; Shian-Shyong Tseng; Chien-Liang Liu (J. Inf. Sci. Eng., 2002)

A unifying framework for intelligent DNS management. - Chang-Sheng Chen; Shian-Shyong Tseng; Chien-Liang Liu (Int. J. Hum. Comput. Stud., 2003)

Design and implementation of an intelligent DNS management system. - Chien-Liang Liu; Shian-Shyong Tseng; Chang-Sheng Chen (Expert Syst. Appl., 2004)

Learning Sequences Construction Using Ontology and Rules. - Ruei-Yan Chen; Shian-Shyong Tseng; Chien-Liang Liu; Chun-Yen Chang 001; Chang-Sheng Chen (ICCE, 2005)

Rigorous georeferencing for Formosat-2 satellite images by least squares collocation. - Liang-Chien Chen; Tee-Ann Teo; Chien-Liang Liu (IGARSS, 2005)

Design of a Joint Defense System for Mobile Ad Hoc Networks. - Huei-Wen Ferng; Chien-Liang Liu (VTC Spring, 2006)

Simplify Multi-valued Decision Trees. - Chien-Liang Liu; Chia-Hoang Lee (ISICA, 2008)

Analysis and prediction of trajectories using Bayesian network. - Chien-Liang Liu; Emery Jou; Chia-Hoang Lee (ICNC, 2010)

Community-Based Social Network Service for Travel Blog Sharing. - Wei-Feng Tung; Chien-Liang Liu (ITNG, 2010)

A fall detection system using k-nearest neighbor classifier. - Chien-Liang Liu; Chia-Hoang Lee; Ping-Min Lin (Expert Syst. Appl., 2010)

An Unsupervised Automated Essay Scoring System. - Yen-Yu Chen; Chien-Liang Liu; Chia-Hoang Lee; Tao-Hsing Chang (IEEE Intell. Syst., 2010)

DEM-Aided Block Adjustment for Satellite Images With Weak Convergence Geometry. - Tee-Ann Teo; Liang-Chien Chen; Chien-Liang Liu; Yi-Chung Tung; Wan-Yu Wu (IEEE Trans. Geosci. Remote. Sens., 2010)

應用詞彙、語法與語料規則於中文手寫句辨識之校正模組 (Revision for Recognizing Chinese Handwritten Sentences Based on Lexical, Syntactical and Corpus Rules) [In Chinese]. - Tao-Hsing Chang; Chia-Bin Chou; Shou-Yen Su; Chien-Liang Liu (ROCLING (Posters), 2011)

Painting in the air with Wii Remote. - Chia-Hoang Lee; Chien-Liang Liu; Yi-An Chen; Ying-Sheng Chen (Expert Syst. Appl., 2011)

Computer assisted writing system. - Chien-Liang Liu; Chia-Hoang Lee; Ssu-Han Yu; Chih-Wei Chen (Expert Syst. Appl., 2011)

Intelligent computer assisted blog writing system. - Chien-Liang Liu; Chia-Hoang Lee; Bo-Yuan Ding (Expert Syst. Appl., 2012)

Movie Rating and Review Summarization in Mobile Environment. - Chien-Liang Liu; Wen-Hoar Hsaio; Chia-Hoang Lee; Gen-Chi Lu; Emery Jou (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Clustering documents with labeled and unlabeled documents using fuzzy semi-Kmeans. - Chien-Liang Liu; Tao-Hsing Chang; Hsuan-Hsun Li (Fuzzy Sets Syst., 2013)

Clustering tagged documents with labeled and unlabeled documents. - Chien-Liang Liu; Wen-Hoar Hsaio; Chia-Hoang Lee; Chun-Hsien Chen (Inf. Process. Manag., 2013)

An HMM-Based Algorithm for Content Ranking and Coherence-Feature Extraction. - Chien-Liang Liu; Wen-Hoar Hsaio; Chia-Hoang Lee; Hsiao-Cheng Chi (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Online chinese restaurant process. - Chien-Liang Liu; Tsung-Hsun Tsai; Chia-Hoang Lee (KDD, 2014)

Semi-Supervised Linear Discriminant Clustering. - Chien-Liang Liu; Wen-Hoar Hsaio; Chia-Hoang Lee; Fu-Sheng Gou (IEEE Trans. Cybern., 2014)

Enhancing text classification with the Universum. - Chien-Liang Liu; Ching-Hsien Lee (ICNC-FSKD, 2016)

Large-scale recommender system with compact latent factor model. - Chien-Liang Liu; Xuan-Wei Wu (Expert Syst. Appl., 2016)

Fast recommendation on latent collaborative relations. - Chien-Liang Liu; Xuan-Wei Wu (Knowl. Based Syst., 2016)

Semi-Supervised Text Classification With Universum Learning. - Chien-Liang Liu; Wen-Hoar Hsaio; Chia-Hoang Lee; Tao-Hsing Chang; Tsung-Hsun Kuo (IEEE Trans. Cybern., 2016)

Hierarchical hypothesis structure for ensemble learning. - Chu-En Yu; Chien-Liang Liu; Hsin-Lung Hsieh (ICNC-FSKD, 2017)

Nonparametric multi-assignment clustering. - Chien-Liang Liu; Wen-Hoar Hsaio; Tao-Hsing Chang; Tzai-Min Jou (Intell. Data Anal., 2017)

Maximum-margin sparse coding. - Chien-Liang Liu; Wen-Hoar Hsaio; Bin Xiao 008; Chun-Yu Chen; Wei-Liang Wu (Neurocomputing, 2017)

Locality-constrained max-margin sparse coding. - Wen-Hoar Hsaio; Chien-Liang Liu; Wei-Liang Wu (Pattern Recognit., 2017)

Deep 3D Convolutional Neural Network Architectures for Alzheimer's Disease Diagnosis. - Hiroki Karasawa; Chien-Liang Liu; Hayato Ohwada (ACIIDS (1), 2018)

Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network. - Huai-Shuo Huang; Chien-Liang Liu; Vincent S. Tseng (DSAA, 2018)

Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem. - Yi-Hsun Liu; Chien-Liang Liu; Shin-Mu Tseng (ICDM, 2018)

A predictive model for acute allograft rejection of liver transplantation. - Chien-Liang Liu; Ruey-Shyang Soong; Wei-Chen Lee; De-Hsuan Chen; Shang Hwa Hsu (Expert Syst. Appl., 2018)

Bayesian exploratory clustering with entropy Chinese restaurant process. - Chien-Liang Liu; Wen-Hoar Hsaio; Che-Yuan Lin (Intell. Data Anal., 2018)

Locality Sensitive K-means Clustering. - Chien-Liang Liu; Wen-Hoar Hsaio; Tao-Hsing Chang (J. Inf. Sci. Eng., 2018)

Background music recommendation based on latent factors and moods. - Chien-Liang Liu; Ying-Chuan Chen (Knowl. Based Syst., 2018)

Large-scale Classification of 12-lead ECG with Deep Learning. - Yu-Jhen Chen; Chien-Liang Liu; Vincent S. Tseng; Yu-Feng Hu; Shih-Ann Chen (BHI, 2019)

Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism. - En-Yu Hsu; Chien-Liang Liu; Vincent S. Tseng (PAKDD (3), 2019)

Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks. - Chien-Liang Liu; Bin Xiao 008; Wen-Hoar Hsaio; Vincent S. Tseng (IEEE Access, 2019)

Clustering data with partial background information. - Chien-Liang Liu; Wen-Hoar Hsaio; Tao-Hsing Chang; Hsuan-Hsun Li (Int. J. Mach. Learn. Cybern., 2019)

Time Series Classification With Multivariate Convolutional Neural Network. - Chien-Liang Liu; Wen-Hoar Hsaio; Yao-Chung Tu (IEEE Trans. Ind. Electron., 2019)

Proxy Network for Few Shot Learning. - Bin Xiao 008; Chien-Liang Liu; Wen-Hoar Hsaio (ACML, 2020)

Metric-Based Semi-Supervised Regression. - Chien-Liang Liu; Qing-Hong Chen (IEEE Access, 2020)

Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems. - Chien-Liang Liu; Chuan-Chin Chang; Chun-Jan Tseng (IEEE Access, 2020)

Model-Based Synthetic Sampling for Imbalanced Data. - Chien-Liang Liu; Po-Yen Hsieh (IEEE Trans. Knowl. Data Eng., 2020)

Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery. - Ching-Hung Lee; Chien-Liang Liu; Amy J. C. Trappey; John P. T. Mo; Kevin C. Desouza (Adv. Eng. Informatics, 2021)

Semantic Cross Attention for Few-shot Learning. - Bin Xiao 008; Chien-Liang Liu; Wen-Hoar Hsaio (ACML, 2022)

Contrastive Heartbeats: Contrastive Learning for Self-Supervised ECG Representation and Phenotyping. - Crystal T. Wei; Ming-En Hsieh; Chien-Liang Liu; Vincent S. Tseng (ICASSP, 2022)

Design and management of digital transformations for value creation. - Ching-Hung Lee; Amy J. C. Trappey; Chien-Liang Liu; John P. T. Mo; Kevin C. Desouza (Adv. Eng. Informatics, 2022)

Learning From Imbalanced Data With Deep Density Hybrid Sampling. - Chien-Liang Liu; Yu-Hua Chang (IEEE Trans. Syst. Man Cybern. Syst., 2022)

CopyCAT: Masking Strategy Conscious Augmented Text for Machine Generated Text Detection. - Chien-Liang Liu; Hung-Yu Kao (PAKDD (1), 2023)

Prediction of Blood Glucose Concentration Based on OptiScanner and XGBoost in ICU. - Chun-Han Lin; Chien-Liang Liu (IEEE Access, 2023)

Dynamic Job-Shop Scheduling Problems Using Graph Neural Network and Deep Reinforcement Learning. - Chien-Liang Liu; Tzu-Hsuan Huang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Dynamic Parallel Machine Scheduling With Deep Q-Network. - Chien-Liang Liu; Chun-Jan Tseng; Tzu-Hsuan Huang; Jhih-Wun Wang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

DualDomain-AttenNet: Synergizing time-frequency analysis and attention mechanisms for Motor Imagery BCI enhancement. - Chien-Liang Liu; Po-Tsung Huang (Adv. Eng. Informatics, 2024)

Temporal learning in predictive health management using channel-spatial attention-based deep neural networks. - Chien-Liang Liu; Huan-Ci Su (Adv. Eng. Informatics, 2024)

A bagging approach for improved predictive accuracy of intradialytic hypotension during hemodialysis treatment. - Chien-Liang Liu; Min-Hsuan Lee; Shan-Ni Hsueh; Chia-Chen Chung; Chun-Ju Lin; Po-Han Chang; An-Chun Luo; Hsuan-Chi Weng; Yu-Hsien Lee; Ming-Ji Dai; Min-Juei Tsai (Comput. Biol. Medicine, 2024)

The influence of the Pringle maneuver in laparoscopic hepatectomy: continuous monitor of hemodynamic change can predict the perioperatively physiological reservation. - Yi-Chan Chen; Min-Hsuan Lee; Shan-Ni Hsueh; Chien-Liang Liu; Chung-Kun Hui; Ruey-Shyang Soong (Frontiers Big Data, 2024)

Dynamic Job-Shop Scheduling via Graph Attention Networks and Deep Reinforcement Learning. - Chien-Liang Liu; Chun-Jan Tseng; Po-Hao Weng (IEEE Trans. Ind. Informatics, 2024)

Self-supervised learning for remaining useful life prediction using simple triplet networks. - Chien-Liang Liu; Bin Xiao 008; Shih-Sheng Hsu (Adv. Eng. Informatics, 2025)

Anomaly detection and segmentation in industrial images using multi-scale reverse distillation. - Chien-Liang Liu; Chia-Chen Chung (Appl. Soft Comput., 2025)

Predicting NSAID-associated cardiac mortality: A deep learning approach to 12-lead ECG analysis. - Chien-Liang Liu; Huan-Ci Su; Chih-Min Liu; I-Chien Wu; Pei-Fen Chen; Wan-Ting Hsu; Li-Lien Liao; Yu-Feng Hu (Biomed. Signal Process. Control., 2025)

Harnessing heterogeneous graph neural networks for Dynamic Job-Shop Scheduling Problem solutions. - Chien-Liang Liu; Po-Hao Weng; Chun-Jan Tseng (Comput. Ind. Eng., 2025)

Multimodal fusion of spatial-temporal and frequency representations for enhanced ECG classification. - Chien-Liang Liu; Bin Xiao 008; Chiu-Hsun Hsieh (Inf. Fusion, 2025)

ECG-STAR: Spatio-temporal attention residual networks for multi-label ECG abnormality classification. - Chien-Liang Liu; Bin Xiao 008; Cheng-Feng Tsai (Inf. Sci., 2025)