A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection. - Yen-Cheng Lu; Feng Chen 001; Yang Chen 033; Chang-Tien Lu (AAAI, 2013)

TREADS: a safe route recommender using social media mining and text summarization. - Kaiqun Fu; Yen-Cheng Lu; Chang-Tien Lu (SIGSPATIAL/GIS, 2014)

Analysis and Simulation of Theme Park Queuing System. - Liou Chu; Fu-Yi Hung; Yen-Cheng Lu (IIH-MSP, 2014)

Automatic Outlier Detection in Music Genre Datasets. - Yen-Cheng Lu; Chih-Wei Wu; Alexander Lerch 001; Chang-Tien Lu (ISMIR, 2016)

An Unsupervised Approach to Anomaly Detection in Music Datasets. - Yen-Cheng Lu; Chih-Wei Wu; Chang-Tien Lu; Alexander Lerch 001 (SIGIR, 2016)

Discovering Anomalies on Mixed-Type Data Using a Generalized Student- t Based Approach. - Yen-Cheng Lu; Feng Chen 001; Yating Wang; Chang-Tien Lu (IEEE Trans. Knowl. Data Eng., 2016)

Learning to Fuse Music Genres with Generative Adversarial Dual Learning. - Zhiqian Chen; Chih-Wei Wu; Yen-Cheng Lu; Alexander Lerch 001; Chang-Tien Lu (ICDM, 2017)

Spatial Prediction for Multivariate Non-Gaussian Data. - Xutong Liu 001; Feng Chen 001; Yen-Cheng Lu; Chang-Tien Lu (ACM Trans. Knowl. Discov. Data, 2017)

CATrust: Context-Aware Trust Management for Service-Oriented Ad Hoc Networks. - Yating Wang; Ing-Ray Chen; Jin-Hee Cho; Ananthram Swami; Yen-Cheng Lu; Chang-Tien Lu; Jeffrey J. P. Tsai (IEEE Trans. Serv. Comput., 2018)

Relational Outlier Detection: Techniques and Applications. - Yen-Cheng Lu (2021)

Lightweight Model by Iterative Momentum Pruning Scheme for Channel Reduction. - Oscal Tzyh-Chiang Chen; Yen-Cheng Lu; Yu-Xuan Chang (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks. - Yanshen Sun; Yen-Cheng Lu; Kaiqun Fu; Fanglan Chen; Chang-Tien Lu (J. King Saud Univ. Comput. Inf. Sci., 2022)

Design of a Completely Vertical, Polarization-Independent Two-Dimensional Grating Coupler with High Coupling Efficiency. - Chung-Chih Lin; Yen-Cheng Lu; Yu-Hsuan Liu; Likarn Wang; Neil Na (Sensors, 2023)