| 2024 | PAKDD | STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection. | Yu-Xiang Wu, Bi-Ru Dai |
| 2022 | MDM | A Greedy Algorithm for Budgeted Multiple-Product Profit Maximization in Social Network. | Chun-Cheng Fang, Chia-Chun Ho, Bi-Ru Dai |
| 2021 | GLOBECOM | Semantic Analysis and Preference Capturing on Attentive Networks for Rating Prediction. | Cheng-Han Chou, Bi-Ru Dai |
| 2020 | ICPR | Multi-Laplacian GAN with Edge Enhancement for Face Super Resolution. | Shanlei Ko, Bi-Ru Dai |
| 2020 | MDM | Live Stream Highlight Detection Using Chat Messages. | Chieh-Ming Liaw, Bi-Ru Dai |
| 2018 | GLOBECOM | A Multi-Label Threshold Learning Framework for Propagation Algorithms on a Non-Feature Network. | Ye-Yan Zeng, Bi-Ru Dai |
| 2017 | DaWaK | Reweighting Forest for Extreme Multi-label Classification. | Zhun-Zheng Lin, Bi-Ru Dai |
| 2017 | DaWaK | Accelerating K-Means by Grouping Points Automatically. | Qiao Yu, Bi-Ru Dai |
| 2016 | DaWaK | A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels. | Chih-Heng Chung, Bi-Ru Dai |
| 2016 | DaWaK | Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users. | Mu-Yao Fang, Bi-Ru Dai |
| 2016 | DaWaK | A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts. | Sin-Kai Wang, Bi-Ru Dai |
| 2015 | MDM | A Model of Relevant Common Author and Citation Authority Propagation for Citation Recommendation. | Bo-Yu Hsiao, Chih-Heng Chung, Bi-Ru Dai |
| 2015 | MDM | A Weighted Distance Similarity Model to Improve the Accuracy of Collaborative Recommender System. | Bing-Hao Huang, Bi-Ru Dai |
| 2014 | PAKDD | Predicting Locations of Mobile Users Based on Behavior Semantic Mining. | Huei-Yu Lung, Chih-Heng Chung, Bi-Ru Dai |
| 2013 | MDM | Opinion Mining on Social Media Data. | Po-Wei Liang, Bi-Ru Dai |
| 2012 | DIS | LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity. | Bi-Ru Dai, Chih-Heng Chung |
| 2011 | ICDM | Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations. | Bi-Ru Dai, Meng-Yan Lin |
| 2011 | PAKDD | An Instance Selection Algorithm Based on Reverse Nearest Neighbor. | Bi-Ru Dai, Shu-Ming Hsu |
| 2009 | RCIS | A Decision Tree Based Quasi-Identifier Perturbation Technique for Preserving Privacy in Data Mining. | Bi-Ru Dai, Yang-Tze Lin |
| 2008 | DEXA | Hiding Frequent Patterns under Multiple Sensitive Thresholds. | Ya-Ping Kuo, Pai-Yu Lin, Bi-Ru Dai |
| 2007 | PAKDD | Incremental Clustering in Geography and Optimization Spaces. | Chih-Hua Tai, Bi-Ru Dai, Ming-Syan Chen |
| 2006 | PAKDD | COMET: Event-Driven Clustering over Multiple Evolving Streams. | Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen |
| 2004 | ICDM | Clustering on Demand for Multiple Data Streams. | Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen |
| 2003 | SDM | On the Techniques for Data Clustering with Numerical Constraints. | Bi-Ru Dai, Cheng-Ru Lin, Ming-Syan Chen |