Publications

Selected Publications

1. Y.-M. Yeh, and Y.-C. Lu, "MSRCall: A Multi-scale Deep Neural Network to Basecall Oxford Nanopore Sequences," Bioinformatics, 2022. (SCIE; JCR IF: 5.8; rank: 8/77 (Q1, 9.7%); First author)

2. Y.-F. Shih*, Y.-M. Yeh*, Y.-Y. Lin, M.-F. Weng, Y.-C. Lu, and Y.-Y. Chuang, "Deep co-occurrence feature learning for visual object recognition," in CVPR, 2017. (*: equal contribution) (Top-tier Conference; First author)

3. Y.-Y. Lin, Y.-H. Lin, M.-J. Lin, Y.-M. Yeh, and Y.-C. Lu, "A depth-assisted deblurring flow using dual cameras with different exposure times," in IEEE ICCE-Asia, 2019. (EI, Best Paper Award)

4. B.-F. Chen, Y.-M. Yeh, and Y.-C. Lu, "CF-NET: Complementary fusion network for rotation invariant point cloud completion," in ICASSP, 2022. (EI, Top Signal Processing Conference)

5. S.-S. Weng, Y.-M. Yeh, Y.-C. Li and Y.-C. Lu "An Alignment-Based Hardware Accelerator for Rapid Prediction of RNA Secondary Structures," in ISCAS, 2022. (EI, Flagship Circuit Conference)

Publications

Computer Vision & Signal Processing

(Focus: Advanced Visual Recognition, 3D Point Cloud Vision, and Image Restoration)

1. Y.-F. Shih*, Y.-M. Yeh*, Y.-Y. Lin, M.-F. Weng, Y.-C. Lu, and Y.-Y. Chuang, "Deep co-occurrence feature learning for visual object recognition," in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp. 7302-7311. (EI, 🏆Top-tier conference; *: equal contribution)

2. B.-F. Chen, Y.-M. Yeh, and Y.-C. Lu, "CF-NET: Complementary fusion network for rotation invariant point cloud completion," in 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 2275-2279. (EI, Top Signal Processing Conference)

3. Y.-Y. Lin, Y.-H. Lin, M.-J. Lin, Y.-M. Yeh, and Y.-C. Lu, "A depth-assisted deblurring flow using dual cameras with different exposure times," in 2019 4th IEEE International Conference on Consumer Electronics – Asia (ICCE-Asia), 2019, pp. 9-10. (EI, 🥇Best paper award)

4. Y.-M. Yeh, J. S.-I. Hu, Y.-Y. Lin, and Y.-C. Lu, "Compressing DNN parameters for model loading time reduction," in 2019 4th IEEE International Conference on Consumer Electronics – Asia (ICCE-Asia), 2019, pp. 78-79. (EI)

5. Y.-P. Lin, Y.-M. Yeh, Y.-C. Chou, and Y.-C. Lu, "Attention EdgeConv for 3d point cloud classification," in 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021, pp. 2018-2022. (EI)

6. Y.-C. Chou, Y.-P. Lin, Y.-M. Yeh, and Y.-C. Lu, "3D-GFE: a three-dimensional geometric-feature extractor for point cloud data," in 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021, pp. 2013-2017. (EI)

7. C.-F. Chiang, Y.-M. Yeh, C.-Y. Yang, and Y.-C. Lu, "Colorization of high-frame-rate monochrome videos using synchronized low-frame-rate color data," in 2019 IAPR Workshop series on Computational Color Imaging (CCIW), 2019, pp. 276-285.

AI for Bioinformatics and Precision Medicine

(Focus: Deep Learning for Genomics, Transcriptomics, and Clinical Prognosis)

1. Y.-M. Yeh and Y.-C. Lu, "MSRCall: A Multi-scale Deep Neural Network to Basecall Oxford Nanopore Sequences," Bioinformatics, vol. 38, no. 16, pp. 3877-3884, 2022. (SCIE; JCR IF: 5.8; rank: 8/77 (Q1, 9.7%))

2. H.-Y. Chen, Y.-M. Yeh and Y.-H. Chang, "Transcriptome data-based prognosis prediction model for lung adenocarcinoma using an image deep learning approach," in European Lung Cancer Congress (ELCC), 2025, published in Journal of Thoracic Oncology, 20 (3 Suppl 1): S218–S219.

3. R.-T. Chien, M.-J. Lin, Y.-M. Yeh, and Y.-C. Lu “Traceback Memory Reduction for Three-Sequence Alignment Algorithm with Affine Gap Models,” in 14th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022, pp. 1014-1018. (EI)

Hardware Acceleration & System Design

(Focus: Edge AI, NPU Architecture, and Model Compression)

1. S.-S. Weng, Y.-M. Yeh, Y.-C. Li and Y.-C. Lu "An Alignment-Based Hardware Accelerator for Rapid Prediction of RNA Secondary Structures," in 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 2700-2704. (EI, Flagship Circuit Conference)

2. Y.-M. Yeh, C.-M. Yeh, Y.-Y. Tseng, and Y.-C. Lu, "An orthogonal matching pursuit processor for sparse-representation-based light field data compression," in 2016 IEEE 5th Global Conference on Consumer Electronics (GCCE), 2016, pp. 1-2. (EI)

3. P.-H. Hsu, Y.-M. Yeh, C.-M. Yeh, and Y.-C. Lu, "A high dynamic range light field camera and its built-in data processor design," in 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018, pp. 1-5. (EI, Flagship Circuit Conference)

4. H.-W. Liu, Z.-W. Shen, Y.-M. Yeh, and Y.-C. Lu “A Nucleotide-Position-Based Data Format for Fast Variant Calling and Its Hardware Analyzer Design,” in 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2022, pp. 529-533. (EI, Top Bio-Circuit Conference)

5. Y.-Y. Tseng, Y.-L. Wu, Y.-P. Lin, Y.-M. Yeh, and Y.-C. Lu “Design of a Power Efficient Accelerator for Reconstructing Videos from Gaussian Mixture Model Data,” in 2022 IEEE Region 10 Conference (TENCON), 2022, pp. 1-4. (EI)

6. C.-Y. Yang, Y.-M. Yeh, and Y.-C. Lu, "Hardware architecture and implementation of clustered tensor approximation for multi-dimensional visual data," in 2020 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 2020, pp. 1-3. (EI)