Publications

Publication List

• • Juan-Wei Xu and Yi-Ren Yeh, "Audio Classification with Semi-supervised Contrastive Loss and Consistency Regularization," IEEE International Conference on Computers, Software, and Applications (COMPSAC), July, 2024.

  • Zong-Wei Hong, Yu-Chen Lin, Hsuan-Tung Liu, Yi-Ren Yeh, and Chu-Song Chen, "Domain-Generalized Face Anti-Spoofing With Unknown Attacks," IEEE International Conference on Image Processing (ICIP), October 2023.

  • Chen-Hao Liao, Wen-Cheng Chen, Hsuan-Tung Liu, Yi-Ren Yeh, Min-Chun Hu, Chu-Song Chen. “Domain Invariant Vision Transformer Learning for Face Anti-spoofing,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.

  • Yen-Cheng Chang, Yi-Chang Chen, Yu-Chuan Chang, and Yi-Ren Yeh, "SMILE: Sequence-to-Sequence Domain Adaptation with Minimizing Latent Entropy for Text Image Recognition," IEEE International Conference on Image Processing (ICIP), October 2022.

  • Chia-Wei Kuo, Yi-Ting Tsai, Hong-Han Shuai, Yi-Ren Yeh, and Ching-Chun Huang, "Towards Understanding Cross Resolution Feature Matching for Surveillance Face Recognition", ACM International Conference on Multimedia, October 2022.

  • Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang and Yi-Ren Yeh, "g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin," INTERSPEECH, September 2022.

  • Yi-Chang Chen, Yu-Chuan Chang, Yen-Cheng Chang, and Yi-Ren Yeh, "Traditional Chinese Synthetic Datasets Verified with Labeled Data for Scene Text Recognition," International Conference on Pattern Recognition Workshop:  Deep Learning for Visual Detection and Recognition (DLVDR2022), August, 2022.

  • Wei-Cheng Lin and Yi-Ren Yeh, "Efficient Malware Classification by Binary Sequences with One-Dimensional Convolutional Neural Networks," Mathematics, Febuary 2022.

  • Yi-Chang Chen, Chun-Yen Cheng, Chien-An Chen, Ming-Chieh Sung, and Yi-Ren Yeh, "Integrated Semantic and Phonetic Post-correction   for Chinese Speech Recognition", The 33rd annual Conference on Computational Linguistics and Speech Processing (ROCLING), October 2021.

  • Jia-Hao Syu, Yi-Ren Yeh, Mu-En Wu, and Jan-Ming Ho, "Self-Management Portfolio System with Adaptive Association Mining: A Practical Application on Taiwan Stock Market," Mathematics, May 2021.

  • Yi-Ren Yeh, Yi-Chen, and Lian, Kuo-Lung, “Improvement of Short-Term Load Forecasting by Bag-of-Words Representation,” International Conference on Pervasive Artificial Intelligence, 2020

  • Yi-Ren Yeh, Ming-Kung Sun, and C.-Y. Huang, "A Malware Beacon of Botnet by Local Periodic Communication Behavior," IEEE International Workshop on Network Technologies for Security, Administration, and Protection in conjunction with IEEE COMPSAC, July 2018.

  • Tao-Yi Lee, Yuh-Jye Lee, Hsing-Kuo Pao, You-Hua Lin and Yi-Ren Yeh, "Elastic Motif Segmentation and Alignment of Time Series for Encoding and Classification," NIPS Time Series Workshop, Dec 2017.

  • Shih-Yen Tao, Yao-Hung Tsai, Yi-Ren Yeh and Yu-Chiang F. Wang, "Semantics-Preserving Locality Embedding for Zero-Shot Learning," British Machine Vision Conference (BMVC), Sep. 2017.

  • Alvin Chiang, Esther David, Yuh-Jye Lee, Guy Leshem and Yi-Ren Yeh, "A study on anomaly detection ensembles," Journal of Applied Logic, volume 21, pages 1-13, May 2017.

  • Wei-Yi Chang, Yi-Ren Yeh and Yu-Chiang Frank Wang, "Style-oriented landmark retrieval and summarization," Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Dec. 2016.

  • Cheng-An Hou, Yao-Hung Tsai, Yi-Ren Yeh and Yu-Chiang F. Wang, “Unsupervised Domain Adaptation with Label and Structural Consistency”, IEEE Transactions on Image Processing, volume 25, number 12, pages 5552-5562, December 2016.

  • Yuan-Ting Hsieh, Shi-Yen Tao, Yao- Hung Tsai, Yi-Ren Yeh and Yu-Chiang F. Wang, "Recognizing Heterogeneous Cross-Domain Data Via Generalized Joint Distribution Adaptation," IEEE Conference on Multimedia and Expo, July, 2016.

  • Yao-Hung Tsai, Yi-Ren Yeh, and Yu-Chiang F. Wang, "Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June. 2016.

  • Yao-Hung Tsai, Yi-Ren Yeh, and Yu-Chiang F. Wang, "Heterogeneous Domain Adaptation with Label and Structure Consistency," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2016.

  • Yao-Humg Tsai, Cheng-An Hou, Wei-Yu Chen, Yi-Ren Yeh, and Yu-Chiang F. Wang, "Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation," AAAI Conference on Artificial Intelligence (AAAI), Feb. 2016.

  • Tzu-Ming H. Hsu, Cheng-An Hou, Wei-Yu Chen, Yao-Hung Tsai, Yi-Ren Yeh, and Yu-Chiang. F. Wang, "Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data," IEEE International Conference on Computer Vision (ICCV), Dec. 2015.

  • Wei-Yu Chen, Tzu-Ming H. Hsu, Cheng-An Hou, Yi-Ren Yeh, and Yu-Chiang F. Wang, "Connecting The Dots without Clues: Unsupervised Domain Adaptation for Cross-Domain Visual Classification," IEEE International Conference on Image Processing (ICIP), Sept. 2015.

  • Cheng-An Hou, Yi-Ren Yeh, and Yu-Chiang F. Wang, "An Unsupervised Domain Adaptation Approach For Cross-Domain Visual Classification," IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS), Aug. 2015. (nominated for AVSS 2015 best paper award).

  • Min-Chun Yang, Chia-Po Wei, Yi-Ren Yeh, and Yu-Chiang F. Wang, "Recognition at a Long Distance: Very Low Resolution Face Recognition and Hallucination," IAPR International Conference on Biometrics (ICB), May 2015.

  • Zi-Wen Gui and Yi-Ren Yeh. "Time Series Classification with Temporal Bag-of-Words Model," Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2014.

  • Yi-Ren Yeh, Chun-Hao Huang, and Yu-Chiang F. Wang, "Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation Subspace," IEEE Transactions on Image Processing, volume 23, number 5, pages 2009-2018, May 2014.

  • Yi-Ren Yeh, Su-Yun Huang, Hsing-Kuo Pao and Yuh-Jye Lee, "A Review of Reduced Kernel Trick in Machine Learning," Journal of Chinese Statistical Association, volume 52, number 2, pages 85-114, February 2014.

  • Yuh-Jye Lee, Yi-Ren Yeh, and Yu-Chiang F. Wang, "Anomaly Detection via Online Over-Sampling Principal Component Analysis," IEEE Transactions on Knowledge and Data Engineering, volume 25, number 7, pages 1460-1470, July 2013.

  • Yi-Ren Yeh and Yu-Chiang F. Wang, "A Rank-One Update Method for Least Squares Linear Discriminant Analysis with Concept Drift," Pattern Recognition, volume 46, number 5, pages 1267-1276, May 2013.

  • Chia-Po Wei, Yu-Wei. Chao, Yi-Ren Yeh, and Yu-Chiang F. Wang, "Locality-Sensitive Dictionary Learning for Sparse Representation Based Classification," Pattern Recognition, volume 46, number 5, pages 1277-1287, May 2013.

  • Yang-Chi Shen, Alvin Chiang, Yi-Ren Yeh and Yuh-Jye Lee. "Continuous Monitoring and Distributed Anomaly Detection for Ambient Factors," IEEE International Conference on Internet of Things (iThings), 2014. 

  • Hsiao-Hui Chen, Ping-Feng Wang, Ching-Tien Sung,  Yi-Ren Yeh and Yuh-Jye Lee. "Energy Disaggregation via Clustered Regression Models: A Case Study in the Convenience Store." Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2013.  (Merit Paper Award)

  • Lin Xu, Yi-Ren Yeh, Yuh-Jye Lee, and Jing Li. "A Hierarchical Framework Using Approximated Local Outlier Factor for Efficient Anomaly Detection". International Workshop on Sensor Networks for Intelligence Gathering and Monitoring (SNIGM), 2013.

  • Ming-Hen Tsai, Yi-Ren Yeh, Yuh-Jye Lee, and Yu-Chiang F. Wang, "Solving Nonlinear SVM in Linear Time? A Nystrom Approximated SVM with Applications to Image Classification," IAPR Conference on Machine Vision Applications (MVA), 2013. (nominated for MVA 2013 paper awards).

  • Yi-Ren Yeh, Ting-Chu Lin, Yung-Yu Chung and Yu-Chiang F. Wang, "A Novel Multiple Kernel Learning Framework for Heterogeneous Feature Fusion and Variable Selection," IEEE Transactions on Multimedia, volume 14, number 3, pages 563-574, June 2012.

  • Chun-Hao Hung, Yi-Ren Yeh, and Yu-Chiang Frank Wan. "Recognizing Unseen Actions Across Cameras by Exploring the Correlated Subspace", International Workshop on Video Event Categorization, Tagging and Retrieval, in conjunction with ECCV, Firenze, Italy, 2012.

  • Yi-Ren Yeh, Yung-Yu Chung, Ting-Chu Lin and Yu-Chiang Frank Wang. "Group Lasso Regularized Multiple Kernel Learning for Heterogeneous Feature Selection", International Joint Conference on Neural Networks (IJCNN), San Jose, USA, 2011.

  • Yu-Wei Chao, Yi-Ren Yeh, Yu-Wen Chen, Yuh-Jye Lee, and Yu-Chiang Frank Wang "Locality-constrained Group Sparse Representation for Robust Face Recognition", IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011.

  • Yi-Ren Yeh and Yu-Chiang Frank Wang. "Least-Squares LDA via Rank-One Updates with Concept Drift", IEEE International Workshop on Statistical Signal Processing (SSP), Nice, France, 2011.

  • Hsin-Hsiung Huang and Yi-Ren Yeh*, "An Iterative Algorithm for Robust Kernel Principal Component Analysis," Neurocomputing, volume 74, number 18, pages 3921-3930, 2011. (*: corresponding author)

  • Yi-Ren Yeh, Su-Yun Huang and Yuh-Jye Lee, "Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression," IEEE Transactions on Knowledge and Data Engineering, volume 21, number 11, pages 1590-1603, 2009.

  • Su-Yun Huang, Yi-Ren Yeh and Shinto Eguchi, "Robust Kernel Principal Component Analysis," Neural Computation, volume 21, number 11, pages 3179-3213, 2009.

  • Wolfgang Haerdle, Yuh-Jye Lee, Dorothea Schaefer and Yi-Ren Yeh, "Variable Selection and Over-sampling in the use of Smooth Support Vector Machines for Predicting the Default Risk of Firms," Journal of Forecasting, volume 28, number 6, pages 512-534, 2009.

  • Yi-Ren Yeh, Zheng-Yi Lee, and Yuh-Jye Lee. "Anomaly Detection via Over-sampling Principal Component Analysis," First KES International Symposium on Intelligent Decision Technologies, Himeji, Japan, 2009.

  • Yuh-Jye Lee and Yi-Ren Yeh. "Ranking the Rules and Instances of Decision Trees," Sixth Industrial Conference on Data Mining, Leipzig, Germany, 2006.