| 2025 | ICMLA | Prompt Learner for Industrial Anomaly Detection: Towards Generalizable Multimodal Defect. | Yen-Han Chiang, Pablo Moll, Yi-Lun Pan, Yi-Ju Tseng, Vincent S. Tseng |
| 2025 | IJCAI | DL-KDD: Dual-Lightness Knowledge Distillation for Action Recognition in the Dark. | Chi-Jui Chang, Oscar Tai-Yuan Chen, Vincent S. Tseng |
| 2025 | IJCNN | Multi-Agent Transformer-based Automated Imbalanced Time Series Classification with Hyperparameter Optimization. | Nai-Hsin Cheng, Yujia Wu, Vincent S. Tseng |
| 2025 | PAKDD | DiPPSI: Diffusion-Based Pulsative Physiological Signal Imputation. | Su-Jung Wu, Josh Jia-Ching Ying, Vincent S. Tseng |
| 2025 | WSDM | HaGAR: Hardness-aware Generative Adversarial Recommender. | Yuan-Heng Lee, Josh Jia-Ching Ying, Vincent S. Tseng |
| 2024 | ICASSP | Self-Supervised Pulse-Aware Interpretable Disentangled ECG Representation Learning. | Chun-Ti Chou, Vincent S. Tseng |
| 2024 | ICASSP | Privacy-Preserving Attention-Weighted Multi-Source Domain Adaptation for EEG Motor Imagery. | Yu-Mei Huang, Hui-Nien Hung, Vincent S. Tseng |
| 2024 | IJCNN | Periodic Stacked Transformer-based Framework for Travel Time Prediction. | Hui-Ting Lin, Hao Dai, Vincent S. Tseng |
| 2024 | IJCNN | Learning Location Semantics and Dynamics for Traffic Origin-Destination Demand Prediction. | Kuan-Hsuan Yung, Josh Jia-Ching Ying, Hui-Ting Lin, Vincent S. Tseng |
| 2022 | ICASSP | Contrastive Heartbeats: Contrastive Learning for Self-Supervised ECG Representation and Phenotyping. | Crystal T. Wei, Ming-En Hsieh, Chien-Liang Liu, Vincent S. Tseng |
| 2022 | SAC | IPreMom: a continual learning-based image rating framework for infant precious moments capturing. | Yu Huang, Ju-Hui Tseng, Ching-Jui Hsiao, Hui-Mei Hung, Vincent S. Tseng |
| 2021 | IIWAS | Stable High Utility Itemset Mining. | Acquah Hackman, Yu Huang, Philippe Fournier-Viger, Vincent S. Tseng |
| 2019 | ADMA | Mining Emerging High Utility Itemsets over Streaming Database. | Acquah Hackman, Yu Huang, Philip S. Yu, Vincent S. Tseng |
| 2019 | ADMA | DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition. | Meng-Chieh Lee, Yu Huang, Josh Jia-Ching Ying, Chien Chen, Vincent S. Tseng |
| 2019 | BSN | Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks. | Yu Huang, Meng-Chieh Lee, Vincent S. Tseng, Ching-Jui Hsiao, Chi-Chiang Huang |
| 2019 | ICDM | An Efficient Algorithm for Mining High Utility Quantitative Itemsets. | Chia Hua Li, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng |
| 2019 | PAKDD | Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect. | Chih-Hsin Chou, Yu Huang, Chian-Yun Huang, Vincent S. Tseng |
| 2019 | PAKDD | Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism. | En-Yu Hsu, Chien-Liang Liu, Vincent S. Tseng |
| 2019 | PAKDD | Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture. | Chun-Han Lin, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng |
| 2018 | ACIIDS | Music Recommendation Based on Information of User Profiles, Music Genres and User Ratings. | Ja-Hwung Su, Chu-Yu Chin, Hsiao-Chuan Yang, Vincent S. Tseng, Sun-Yuan Hsieh |
| 2018 | DEXA | Mining Trending High Utility Itemsets from Temporal Transaction Databases. | Acquah Hackman, Yu Huang, Vincent S. Tseng |
| 2018 | DSAA | Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network. | Huai-Shuo Huang, Chien-Liang Liu, Vincent S. Tseng |
| 2018 | WWW | Emerging Product Topics Prediction in Social Media without Social Structure Information. | Sinya Peng, Vincent S. Tseng, Che-Wei Liang, Man-Kwan Shan |
| 2017 | ADMA | Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining. | Mun Hou Wong, Vincent S. Tseng, Jerry C. C. Tseng, Sun-Wei Liu, Cheng-Hung Tsai |
| 2017 | MDM | Efficient Multi-Destinations Route Planning with Deadlines and Cost Constraints. | Yu Huang, Bo-Hau Lin, Vincent S. Tseng |
| 2017 | PAKDD | Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases. | Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng |
| 2017 | PAKDD | A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset. | Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Wessam Abbas, Yonglong Luo, Fulong Chen, Vincent S. Tseng |
| 2017 | PAKDD | Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms. | Vincent S. Tseng, Huai-Shuo Huang, Chia-Wei Huang, Ping-Feng Wang, Chu-Feng Li |
| 2016 | ADMA | IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment. | Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng |
| 2016 | CEC | A scalable complex event analytical system with incremental episode mining over data streams. | Jerry C. C. Tseng, Jia-Yuan Gu, Ping-Feng Wang, Ching-Yu Chen, Chu-Feng Li, Vincent S. Tseng |
| 2016 | DEXA | Mining Minimal High-Utility Itemsets. | Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, Usef Faghihi |
| 2016 | ICPADS | PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection. | Josh Jia-Ching Ying, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, Vincent S. Tseng |
| 2016 | SAC | Efficient closed high-utility itemset mining. | Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng |
| 2015 | DSAA | Mining high-utility itemsets with various discount strategies. | Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng |
| 2015 | ICDM | UP-Miner: A Utility Pattern Mining Toolbox. | Vincent S. Tseng, Cheng-Wei Wu, Jun-Han Lin, Philippe Fournier-Viger |
| 2015 | ICMLC | Hewin: High expected weighted itemset mining in uncertain databases. | Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Vincent S. Tseng |
| 2015 | KDD | FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection. | Vincent S. Tseng, Jia-Ching Ying, Che-Wei Huang, Yimin Kao, Kuan-Ta Chen |
| 2015 | PAKDD | CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree. | Ted Gueniche, Philippe Fournier-Viger, Rajeev Raman, Vincent S. Tseng |
| 2015 | PAKDD | Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes. | Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jian Pei |
| 2015 | PAKDD | Mining High Utility Itemsets in Big Data. | Ying Chun Lin, Cheng-Wei Wu, Vincent S. Tseng |
| 2014 | ADMA | Novel Concise Representations of High Utility Itemsets Using Generator Patterns. | Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng |
| 2014 | AI | VMSP: Efficient Vertical Mining of Maximal Sequential Patterns. | Philippe Fournier-Viger, Cheng-Wei Wu, Antonio Gomariz, Vincent S. Tseng |
| 2014 | DSAA | Location semantics prediction for living analytics by mining smartphone data. | Chi-Min Huang, Josh Jia-Ching Ying, Vincent S. Tseng, Zhi-Hua Zhou |
| 2014 | GRC | Efficient vertical mining of high utility quantitative itemsets. | Chia Hua Li, Cheng-Wei Wu, Vincent S. Tseng |
| 2014 | GRC | Semantic content-based music retrieval using audio and fuzzy-music-sense features. | Ja-Hwung Su, Chun-Yen Wang, Ting-Wei Chiu, Josh Jia-Ching Ying, Vincent S. Tseng |
| 2014 | IDA | ERMiner: Sequential Rule Mining Using Equivalence Classes. | Philippe Fournier-Viger, Ted Gueniche, Souleymane Zida, Vincent S. Tseng |
| 2014 | ISMIS | FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning. | Philippe Fournier-Viger, Cheng-Wei Wu, Souleymane Zida, Vincent S. Tseng |
| 2014 | ISMIS | WBPL: An Open-Source Library for Predicting Web Surfing Behaviors. | Ted Gueniche, Philippe Fournier-Viger, Roger Nkambou, Vincent S. Tseng |
| 2014 | MDM | Trip Recommendation with Multiple User Constraints by Integrating Point-of-Interests and Travel Packages. | Shih Hsin Fang, Eric Hsueh-Chan Lu, Vincent S. Tseng |
| 2013 | ADMA | Mining Maximal Sequential Patterns without Candidate Maintenance. | Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng |
| 2013 | ADMA | Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction. | Ted Gueniche, Philippe Fournier-Viger, Vincent S. Tseng |
| 2013 | KDD | Mining high utility episodes in complex event sequences. | Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu, Vincent S. Tseng |
| 2013 | KES | Personalized Music Recommendation by Mining Social Media Tags. | Ja-Hwung Su, Wei-Yi Chang, Vincent S. Tseng |
| 2013 | MDM | Efficient Approaches for Multi-requests Route Planning in Urban Areas. | Eric Hsueh-Chan Lu, Huan-Sheng Chen, Vincent S. Tseng |
| 2013 | SAC | TNS: mining top-k non-redundant sequential rules. | Philippe Fournier-Viger, Vincent S. Tseng |
| 2012 | ADMA | Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction. | Philippe Fournier-Viger, Ted Gueniche, Vincent S. Tseng |
| 2012 | AI | Mining Top-K Association Rules. | Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng |
| 2012 | AI | Mining Sequential Rules Common to Several Sequences with the Window Size Constraint. | Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Roger Nkambou |
| 2012 | GRC | An improved approach for sequential utility pattern mining. | Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang |
| 2012 | GRC | Efficient pattern-based conceptual image retrieval. | Ja-Hwung Su, Chun-Yi Kuo, Vincent S. Tseng |
| 2012 | GRC | Mining web navigation patterns with dynamic thresholds for navigation prediction. | Jia-Ching Ying, Chu-Yu Chin, Vincent S. Tseng |
| 2012 | ISMIS | Mining Top-K Non-redundant Association Rules. | Philippe Fournier-Viger, Vincent S. Tseng |
| 2012 | KDD | Mining top-K high utility itemsets. | Cheng-Wei Wu, Bai-En Shie, Vincent S. Tseng, Philip S. Yu |
| 2012 | KDD | Urban point-of-interest recommendation by mining user check-in behaviors. | Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wen-Ning Kuo, Vincent S. Tseng |
| 2011 | ADMA | Mining Top-K Sequential Rules. | Philippe Fournier-Viger, Vincent S. Tseng |
| 2011 | DASFAA | Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments. | Bai-En Shie, Hui-Fang Hsiao, Vincent S. Tseng, Philip S. Yu |
| 2011 | ICDM | Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets. | Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, Vincent S. Tseng |
| 2011 | KES | Effective Content-Based Music Retrieval with Pattern-Based Relevance Feedback. | Ja-Hwung Su, Tzu-Shiang Hung, Chun-Jen Lee, Chung-Li Lu, Wei-Lun Chang, Vincent S. Tseng |
| 2011 | MDM | Challenges for Mobile Data Management in the Era of Cloud and Social Computing. | Chatschik Bisdikian, Bernhard Mitschang, Dino Pedreschi, Vincent S. Tseng, Claudio Bettini |
| 2011 | MDM | Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints. | Eric Hsueh-Chan Lu, Chih-Yuan Lin, Vincent S. Tseng |
| 2011 | PAKDD | Discovering Valuable User Behavior Patterns in Mobile Commerce Environments. | Bai-En Shie, Hui-Fang Hsiao, Philip S. Yu, Vincent S. Tseng |
| 2010 | ACIIDS | A Three-Scan Algorithm to Mine High On-Shelf Utility Itemsets. | Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng |
| 2010 | GRC | Genetic-Fuzzy Data Mining Techniques. | Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng |
| 2010 | GRC | A Summary of Genetic-Fuzzy Data Mining Techniques. | Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng |
| 2010 | ICCSA | Automatic Chinese Text Classification Using N-Gram Model. | Show-Jane Yen, Yue-Shi Lee, Yu-Chieh Wu, Jia-Ching Ying, Vincent S. Tseng |
| 2010 | ICDM | PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification. | Chao-Hui Lee, Vincent S. Tseng |
| 2010 | KDD | UP-Growth: an efficient algorithm for high utility itemset mining. | Vincent S. Tseng, Cheng-Wei Wu, Bai-En Shie, Philip S. Yu |
| 2010 | SAC | Online mining of temporal maximal utility itemsets from data streams. | Bai-En Shie, Vincent S. Tseng, Philip S. Yu |
| 2010 | SAC | A novel music recommender by discovering preferable perceptual-patterns from music pieces. | Ja-Hwung Su, Hsin-Ho Yeh, Vincent S. Tseng |
| 2009 | ICDM | Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. | Jia-Ching Ying, Vincent S. Tseng, Philip S. Yu |
| 2009 | MDM | Mining Cluster-Based Mobile Sequential Patterns in Location-Based Service Environments. | Eric Hsueh-Chan Lu, Vincent S. Tseng |
| 2008 | CBMS | An Integrated Data Mining System for Patient Monitoring with Applications on Asthma Care. | Vincent S. Tseng, Chao-Hui Lee, Jessie Chia-Yu Chen |
| 2008 | CEC | A cluster-based genetic approach for segmentation of time series and pattern discovery. | Vincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong |
| 2008 | CISIS | Development of a Vital Sign Data Mining System for Chronic Patient Monitoring. | Vincent S. Tseng, Lee-Cheng Chen, Chao-Hui Lee, Jin-Shang Wu, Yu-Chia Hsu |
| 2008 | GRC | A Multi-objective Genetic-fuzzy Mining Algorithm. | Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Lien-Chin Chen |
| 2008 | ISDA | Mining Region-Based Movement Patterns for Energy-Efficient Object Tracking in Sensor Networks. | Vincent S. Tseng, Ming-Hua Hsieh, Kawuu Weicheng Lin |
| 2008 | PAKDD | A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. | Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng |
| 2008 | PAKDD | Constrained Clustering for Gene Expression Data Mining. | Vincent S. Tseng, Lien-Chin Chen, Ching-Pin Kao |
| 2008 | PAKDD | Semantic Video Annotation by Mining Association Patterns from Visual and Speech Features. | Vincent S. Tseng, Ja-Hwung Su, Jhih-Hong Huang, Chih-Jen Chen |
| 2007 | CEC | A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy. | Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng |
| 2007 | CIBCB | Analysis and Prevention of Dispension Errors by Using Data Mining Techniques. | Vincent S. Tseng, Chun-Hao Chen, Hsiao-Ming Chen, Hui-Jen Chang, Chin-Tai Yu |
| 2007 | CIBCB | Gene Relation Discovery by Mining Similar Subsequences in Time-Series Microarray Data. | Vincent S. Tseng, Lien-Chin Chen, Jian-Jie Liu |
| 2007 | ICPADS | Mining temporal mobile sequential patterns in location-based service environments. | Vincent S. Tseng, Eric Hsueh-Chan Lu, Cheng-Hsien Huang |
| 2007 | IFSA | FCBIR: A Fuzzy Matching Technique for Content-Based Image Retrieval. | Vincent S. Tseng, Ja-Hwung Su, Wei-Jyun Huang |
| 2007 | SAC | Web image annotation by fusing visual features and textual information. | Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Yu-Ming Lin |
| 2006 | CBMS | Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches. | Tsang-Hsiang Cheng, Chih-Ping Wei, Vincent S. Tseng |
| 2006 | CBMS | Discovering Gene Clusters via Integrated Analysis on Time-Series and Group-Comparative Microarray Datasets. | Vincent S. Tseng, Lien-Chin Chen, Yao-Dung Hsieh |
| 2006 | ICDM | Segmentation of Time Series by the Clustering and Genetic Algorithms. | Vincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong |
| 2006 | SMC | Towards Parameter-less and Similarity-based Fuzzy Clustering based on PCM Method. | Vincent S. Tseng, Ching-Pin Kao |
| 2006 | SAC | Mining and prediction of temporal navigation patterns for personalized services in e-commerce. | Vincent S. Tseng, Jeng-Chuan Chang, Kawuu Weicheng Lin |
| 2005 | GRC | Analyzing time-series data by fuzzy data-mining technique. | Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng |
| 2005 | KDD | Classify By Representative Or Associations (CBROA): a hybrid approach for image classification. | Vincent S. Tseng, Chon-Jei Lee, Ja-Hwung Su |