| 陳永耀 Yung-Yao Chen |
|
|---|---|
| Position | |
| Professor | |
| Education | |
| Ph.D. Electrical and Computer Engineering, Purdue University - West Lafayette, IN, USA | |
| yungyaochen@mail.ntust.edu.tw | |
| Room | |
| EE 601-8 |
| Office Hours | Recruiting prospective international students. Email me. 找我前請先瀏覽我個人/實驗室網頁資訊再寄Email |
|---|---|
| Telephone | (02) 2737-6378 |
| Homepage | https://sites.google.com/view/ntust-his-lab/ |
| Laboratory | 人機互動暨影像系統實驗室 (Bio in English Version) |
| Major Field | Computer vision, deep learning/generative AI/large language model (LLM), embedded AI applications, vision-based automation, pattern recognition, color image processing, imaging systems, human-computer interaction, and smart sensors of self-driving cars. |
| Course | Introduction to AI, Principles and Practice of Pattern Recognition, Embedded System Programming, Computer Programming and Applications, Capstone Topic: Intelligent Self-Driving |
| 2024.09 ~ 迄今(present) | Full Professor, Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology |
| 2023.12 ~ 迄今(present) | Project Review Committee, National Chung-Shan Institute of Science and Technology, NCSIST ( https://www.ncsist.org.tw/ ) |
| 2022.08 ~ 迄今(present) | Director, AI Research Center, National Taiwan University of Science and Technology (NTUST) ( https://ai.ntust.edu.tw/ ) |
| 2022.04 ~ 2023.05 | President, Taiwan Tech Faculty and Staff Basketball Club |
| 2021.08 ~ 迄今(present) | Co-Director, Taiwan Tech Smart Electric Vehicle Research Center (https://reurl.cc/n5MGED)(https://reurl.cc/o54LDM) ( https://ai-sev.ntust.edu.tw/ ) |
| 2021.03 ~ 迄今(present) | Co-PI (Principal Investigator), Industry-Academia Alliance of Artificial Intelligence and Data Science, NTUST |
| 2020.09 ~ 迄今(present) | Academic Expert, Intellectual Property Office (Ministry of Economic Affairs) IPKM |
| 2020.02 ~ 2024.08 | Associate Professor, Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology (NTUST)) |
| 2019.01 ~ 迄今(present) | Project Review Committee, Taiwan Ministry of Science and Technology |
| 2018.08 ~ 2020.01 | Associate Professor, Graduate Institute of Automation Technology (GIAT), National Taipei University of Technology |
| 2018.02 ~ 2020.01 | Chief, Chinese Language Training Center (CLTC), National Taipei University of Technology |
| 2013.08 ~ 2018.07 | Assistant Professor, Graduate Institute of Automation Technology, National Taipei University of Technology |
| 2012.05 ~ 2013.04 | Full-Time Research Intern, HP Labs USA |
| 2024 | Excellent Research Award, National Taiwan University of Science and Technology |
| 2024 | 2024 Outstanding Young Scholar Project (National Science and Technology Council, Taiwan) |
| 2024 | Frontier Technology Award/STI A* Award, Institute for Information Industry ( https://www.iii.org.tw ) |
| 2023 | Excellent Teaching Award, National Taiwan University of Science and Technology |
| 2022 | Outstanding Young Scholar Research Award, National Taiwan University of Science and Technology |
| 2022 | Outstanding Young Professional Award, Taiwan Association of Systems Science and Engineering |
| 2022 | Outstanding Young Professional Award, Chinese Automatic Control Society(CACS) |
| 2022 | 第17屆教育部技專院校DSP設計競賽 佳作 |
| 2022 | 第十八屆全國電子設計創意競賽 亞軍 |
| 2022 | 2022 IEEE International Conference on Consumer Electronics - Taiwan Service Award |
| 2022 | 車用電子創新發明競賽 系統整合組第一名 |
| 2021 | Excellent Research Award, National Taiwan University of Science and Technology |
| 2021 | Champion, 2nd Autonomous Cars (Duckiebot) Thematic Contest |
| 2021 | Taiwan Electronics Design Contest, Second Prize Award |
| 2021 | Outstanding Young Scholar Award, Taiwan Consumer electronics Society |
| 2021 | Excellent Award, 2021 AIGO Competition (AI Project-Talent Problem Solving Competition) (https://aigo.org.tw/zh-tw) |
| 2021 | 教育部全國大專校院人工智慧競賽(AI CUP) 佳作 |
| 2020 | 2020 Taiwan Electronics Design Contest, Special Award |
| 2020 | 2020 Outstanding Young Scholar Project (Ministry of Science and Technology, Taiwan) |
| 2020 | Ta-You Wu Memorial Award, Ministry of Science and Technology, Taiwan (https://reurl.cc/O1xKbr) |
| 2020 | Outstanding Robotics Young Scholar Award, Robotics Society of Taiwan |
| 2020 | CIEE Outstanding Young Electrical Engineer Award, The Chinese Institute of Electrical Engineering (http://www.ciee.org.tw/) |
| 2020 | Silver Medal, National College Faculty/Staff Basketball Competition |
| 2020 | AI competition of Industrial Development Bureau, AI + AR Highest Achievement Award |
| 2019 | 2019 Outstanding Young Scholar Award, NTUT |
| 2019 | 2019 Research Award, NTUT |
| 2019 | 2019 Innovation and Entrepreneurship contest, Silver Award |
| 2019 | 2019 Innovation and Entrepreneurship contest, Rising Star Award |
| 2019 | 2019 Taiwan Electronics Design Contest, First Prize Award |
| 2019 | 2019 Fintechers and Innovation Contest, Silver Medal |
| 2019 | First Prize Award, Industry-academy innovation competition |
| 2013 | Member, Golden Key International Honour Society (recommended by Purdue University) |
| 2008 | Full TA scholarship, Purdue University |
| 2006 | Member, Phi Tau Phi Scholastic Honor Society (Ranked First place in Information & Intelligence Group) (recommended by National Chiao Tung University) |
Research Achievement
| [1] | Hsin-Chun Lin, Yung-Yao Chen, Sin-Ye Jhong, Cong-Cheng Zhang, Kai-Lung Hua, Sheng-Tao Chen, and Chih-Hsien Hsia, “A Small Traffic Sign Detection Model Based on Improved YOLOv7”, Sensors & Materials, accepted, Oct. 2024. |
| [2] | Yung-Yao Chen, Sin-Ye Jhong, Shao-Kai Tu, Yu-Hsiu Lin, and Yi-Chen Wu, “Autonomous Smart-Edge Fault Diagnostics via Edge-Cloud-Orchestrated Collaborative Computing for Infrared Electrical Equipment Images”, IEEE Sensors Journal, vol. 24, pp. 24630 - 24648, Aug. 2024. (SCI, Scopus CiteScore Ranking: Instrumentation 14/136, Q1) (https://doi.org/10.1109/JSEN.2024.3415639) |
| [3] | Chao-Lung Yang, Yulius Harjoseputro, and Yung-Yao Chen, “A hybrid approach of simultaneous segmentation and classification for medical image analysis”, Multimedia Tools and Applications, pp. 1-23, May 2024. (SCI, Scopus CiteScore Ranking: Media Technology 10/63, Q1) (https://doi.org/10.1007/s11042-024-19310-9) |
| [4] | Mohammad Shahid, Hong-Cyuan Wang, Yung-Yao Chen, and Kai-Lung Hua, “Hybrid CNN-ViT Architecture to Exploit Spatio-Temporal Feature for Fire Recognition Trained Through Transfer Learning”, Multimedia Tools and Applications, pp. 1-20, March 2024. (SCI, Scopus CiteScore Ranking: Media Technology 10/63, Q1)( https://doi.org/10.1007/s11042-024-18752-5) |
| [5] | Yung-Yao Chen*, and Sin-Ye Jhong, “Multi-Level Self-Training Approach to Cross-Domain Semantic Segmentation for Intelligent Vehicles”, IEEE Intelligent Transportation Systems Magazine, Vol. 16, Issue 1, pp. 26873-26886 Feb. 2024. (SCI, Scopus CiteScore Ranking: Mechanical Engineering 83/631, Q1) (https://doi.org/10.1109/MITS.2023.3310027) |
| [6] | Yung-Yao Chen*, Sin-Ye Jhong, and You-Jyun Lo, “Reinforcement-and-Alignment Multispectral Object Detection Using Visible-Thermal Vision Sensors in Intelligent Vehicles”, IEEE Sensors Journal, Early Access, Oct. 2023. (https://doi.org/ 10.1109/JSEN.2023.3319230) |
| [7] | Sin-Ye Jhong, Yung-Yao Chen, Chih-Hsien Hsia, Yu-Quan Wang, and Chin-Feng Lai*, “Density-Aware and Semantic-Guided Fusion for 3D Object Detection using LiDAR-Camera Sensors”, IEEE Sensors Journal, vol. 23, pp. 22051 - 22063, Sept. 2023. (https://doi.org/10.1109/JSEN.2023.3302314) |
| [8] | Mohammad Shahid, Shang-Fu Chen, Yu-Ling Hsu, Yung-Yao Chen, Yi-Ling Chen, and Kai-Lung Hua*, “Forest Fire Segmentation via Temporal Transformer from Aerial Images”, forests, vol. 14, pp. 563, March 2023. (https://doi.org/10.3390/f14030563) |
| [9] | Jilyan Bianca Dy, John Jethro Virtusio, Daniel Stanley Tan, Yong-Xiang Lin, Joel Ilao, Yung-Yao Chen, and Kai-Lung Hua*, “MCGAN: mask controlled generative adversarial network for image retargeting”, Neural Computing and Applications, vol. 35, pp. 10497-10509, Feb. 2023. (https://doi.org/10.1007/s00521-023-08246-0) |
| [10] | Yung-Yao Chen, Yu-Hsiu Lin, Yu-Chen Hu, Chih-Hsien Hsia, Yi-An Lian, and Sin-Ye Jhong, “Distributed Real-Time Object Detection Based on Edge-Cloud Collaboration for Smart Video Surveillance Application”, IEEE Access, vol. 10, pp. 93745 - 93759, Aug. 2022. (SCI, Scopus CiteScore Ranking: General Engineering 39/297, Q1) (https://doi.org/10.1109/ACCESS.2022.3203053) |
| [11] | Chao-Lung Yang, Yulius Harjoseputro, Yu-Chen Hu, and Yung-Yao Chen*, “An Improved Transfer-Learning for Image-Based Species Classification of Protected Indonesians Birds”, Computers, Materials & Continua, vol. 73, pp. 4577-4593, July 2022. (SCI, Scopus CiteScore Ranking: Modeling and Simulation 56/290, Q1) (https://doi.org/10.32604/cmc.2022.031305) |
| [12] | Yin-Chen Yeh, Jilyan Dy, Tai-Ming Huang, Yung-Yao Chen, and Kai-Lung Hua, “VDNet: video deinterlacing network based on coarse adaptive module and deformable recurrent residual network”, Neural Computing and Applications, vol. 34, pp. 12861-12874, May 2022. (SCI, Scopus CiteScore Ranking: Software 58/398, Q1) (https://doi.org/10.1007/s00521-022-07116-5) |
| [13] | Jose Jaena Mari Ople, Shang-Fu Chen, Yung-Yao Chen, Kai-Lung Hua, Mohammad Hijji, and Khan Muhammad, “Controllable Model Compression for Roadside Camera Depth Estimation”, IEEE Trans. Intelligent Transportation Systems, early access, May 2022. (SCI, Scopus CiteScore Ranking: Mechanical Engineering 17/601, Q1) (https://doi.org/10.1109/TITS.2022.3166873) |
| [14] | Shan-Bin Chan, Yuan-Chun Lai, Wei-Ting Chang, Kuo-Ting Tang, Ming-Shih Huang, Zhih-Cheng Chen, and Yung-Yao Chen*, “Ejection Fraction Measurement and Regional Wall Motion Abnormality Assessment Using Deep-learning Neural Networks in Left Ventriculography”, Sensors and Materials, pp. 1287-1296, vol. 34, April 2022 (SCI, Scopus CiteScore Ranking: General Materials Science 345/460, Q3) (https:// doi.org/10.18494/SAM3503) |
| [15] | Sin-Ye Jhong, Yung-Yao Chen, Chih-Hsien Hsia, and Chin-Feng Lai, “iVehicles: Spatial feature aggregation network for lane detection,” IEEE Sensors Letters, vol. 8, no. 4, pp. 1-4, April 2024. (ESCI, EI) |
| [16] | Hsiang-Ying Wang, Hsin-Chun Lin, Chih-Hsien Hsia, Natnuntnita Siriphockpirom, Hsien-I Lin, and Yung-Yao Chen*, “Image-to-image Translation via Contour-consistency Networks”, Sensors and Materials, pp. 515-522, vol. 34, Feb. 2022 (SCI, Scopus CiteScore Ranking: General Materials Science 345/460, Q3) (https:// doi.org/10.18494/SAM3493) |
| [17] | Yung-Yao Chen*, Yu-Chen Hu, Ting-Kai Yang, and You-An Wang, “Data Hiding in AMBTC Images Using Selective XOR Hiding Scheme”, Computers, Materials & Continua, vol. 71, pp. 5167-5182, Jan. 2022. (SCI, Scopus CiteScore Ranking: Modeling and Simulation 56/290, Q1) (https://doi.org/10.32604/cmc.2022.023993) |
| [18] | Mohammad Shahid, John Jethro Virtusio, Yu-Hsien Wu, Yung-Yao Chen, M. Tanveer, Khan Muhammad, and Kai-Lung Hua, “Spatio-Temporal Self-Attention Network for Fire Detection and Segmentation in Video Surveillance”, IEEE Access, vol. 10, pp. 1259-1275, Dec. 2021. (SCI, Scopus CiteScore Ranking: General Engineering 39/297, Q1) (https://doi.org/10.1109/ACCESS.2021.3132787) |
| [19] | Yung-Yao Chen, Chih-Hsien Hsia*, and Ping-Han Chen, “Contactless multispectral palm-vein recognition with lightweight convolutional neural network”, IEEE Access, vol. 9, pp. 149796-149806, Nov. 2021. (SCI, Scopus CiteScore Ranking: General Engineering 39/297, Q1) (https://doi.org/10.1109/ ACCESS.2021.3124631) |
| [20] | Yung-Yao Chen, Yu-Chen Hu, Hsiang-Yun Kao, and Yu-Hsiu Lin*, “Security for eHealth system: data hiding in AMBTC compressed images via gradient-based coding”, Complex & Intelligent Systems, pp. 1-13, May 2021 (SCI, JCR Impact Factor Ranking: Computer Science, Artificial Intelligence 38/137, Q2) (https://doi.org/10.1007/s40747-021-00391-0) |
| [21] | Yung-Yao Chen, Sin-Ye Jhong, Chih-Hsien Hsia, and Kai-Lung Hua, “Explainable AI: A Multispectral Palm Vein Identification System with New Augmentation Features”, ACM Trans. Multimedia Computing Communications and Applications, accepted, May 2021 (SCI, Scopus CiteScore Ranking: Computer Science – Hardware and Architecture 23/150, Q1) (https://doi.org/10.1145/3468873) |
| [22] | Sin-Ye Jhong, Yung-Yao Chen, Chih-Hsien Hsia, Shih-Chang Lin, Kuo-Hua Hsu, and Chin-Feng Lai*, “Nighttime object detection system with lightweight deep network for Internet of vehicles”, Journal of Real-Time Image Processing, accepted, April 2021 (SCI, Scopus CiteScore Ranking: Information Systems 86/300, Q2) (https://doi.org/10.1007/s11554-021-01110-1) |
| [23] | Wen-Yin Chen, Pavol Podstreleny, Wen-Huang Cheng, Yung-Yao Chen, and Kai-Lung Hua*, “Code generation from a graphical user interface via attention-based encoder–decoder model”, Multimedia Systems, April 2021 (SCI, Scopus CiteScore Ranking: Media Technology 9/65, Q1) (https://doi.org/10.1007/s00530-021-00804-7) |
| [24] | Yung-Yao Chen, Ming-Hung Chen, Che-Ming Chang, Fu-Sheng Chang, and Yu-Hsiu Lin*, “A smart home energy management system using two-stage non-intrusive appliance load monitoring over fog-cloud analytics based on Tridium’s Niagara framework for residential demand-side management”, Sensors, vol. 21, pp. 2883, April 2021 (SCI, Scopus CiteScore Ranking: Physics and Astronomy – Instrumentation 9/116, Q1) (https://doi.org/10.3390/s21082883) |
| [25] | Ning Shan, Daniel Stanley Tan, Melkamu Sewuyie, Yung-Yao Chen, Wen-Huang Cheng, and Kai-Lung Hua, “Photobomb defusal expert: automatically remove distracting people from photos”, IEEE Trans. Emerging Topics in Computational Intelligence, vol. 4, pp. 717-727, Oct. 2020 (SCI) (https://doi.org/10.1109/TETCI.2018.2865215) |
| [26] | Yung-Yao Chen*, Guan-Yi Li, Sin-Ye Jhong, Ping-Han Chen, Chiung-Cheng Tsai, and Po-Han Chen, “Nighttime pedestrian detection based on thermal imaging and convolutional neural networks”, Sensors and Materials, pp. 3157-3167, vol. 32, Oct. 2020 (SCI) (https://doi.org/10.18494/SAM.2020.2838) |
| [27] | Yung-Yao Chen, Chih-Hsien Hsia, Hsiang-Yun Kao, You-An Wang, and Yu-Chen Hu *, “An image authentication method for secure Internet-based communication in human-centric computing”, Journal of Internet Technology, accepted, July 2020 (SCI) |
| [28] | Yong-Xiang Lin, Daniel Tan, Yung-Yao Chen, Ching-Chun Huang, and Kai-Lung Hua*, “Domain adaptation with foreground/background cues and gated discriminators”, IEEE MultiMedia, vol. 3, pp. 44-53, July 2020 (SCI) (https://doi.org/10.1109/MMUL.2020.3008529) |
| [29] | Trang-Thi Ho, John Virtusio, Yung-Yao Chen, Chih-Ming Hsu, and Kai-Lung Hua*, “Sketch-guided deep portrait generation”, ACM Trans. Multimedia Computing Communications and Applications, article No. 88, July 2020 (SCI) (https://doi.org/10.1145/3396237) |
| [30] | Yu-Hsiu Lin, Kai-Lung Hua, Hsin-Han Lu, Wei-Lun Sun, and Yung-Yao Chen*, “An adaptive exposure fusion method using fuzzy logic and multivariate normal conditional random fields”, MDPI Sensors, vol. 19, pp. 4743, Oct. 2019. (SCI) (https://doi.org/10.3390/s19214743) |
| [31] | Yung-Yao Chen and Yu-Hsiu Lin*, “A smart autonomous time- and frequency-domain analysis current sensor-based power meters prototype developed over fog-cloud analytics for demand-side management”, MDPI Sensors, vol. 19, pp. 4443, Oct. 2019 (SCI) (https://doi.org/10.3390/s19204443) |
| [32] | Yung-Yao Chen, Yu-Hsiu Lin*, Chia-Ching Kung,Ming-Han Chung, and I-Hsuan Yen, “Design and implementation of cloud analytics-assisted smart power meters considering advanced artificial intelligence as edge analytics in demand-side management for smart homes”, MDPI Sensors, vol. 19, pp. 2047, May 2019 (SCI) (https://doi.org/10.3390/s19092047) |
| [33] | Yu-Hsiu Lin, Chih-Hsien Hsia, Bo-Yan Chen, and Yung-Yao Chen*, “Visual IoT security: data hiding in AMBTC images using block-wise embedding strategy”, MDPI Sensors, vol. 19, pp. 1974, April 2019 (SCI) (https://doi.org/10.3390/s19091974) |
| [34] | Chih-Hsien Hsia, Sin-Hong Lin, and Yung-Yao Chen*, “Adaptive wavelet shrinkage based on intelligent FIS learned thresholding”, J. Imaging Science and Technology (JIST), pp. 030407, March 2019 (SCI) (https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.3.030407) |
| [35] | Kai-Lung Hua, Ho Thi Trang, Kathiravan Srinivasan*, Yung-Yao Chen, Chun-Hao Chen, Vishal Sharma, and Albert Y. Zomaya, “Reduction of Artefacts in JPEG-XR Compressed Images”, MDPI Sensors, vol. 19, pp. 1214, March 2019 (SCI) (https://doi.org/10.3390/s19051214) |
| [36] | Hsiang-Ying Wang, Hsin-Ju Lin, Xiang-Yun Gao, Wen-Huang Cheng, and Yung-Yao Chen*, “Reversible AMBTC-based data hiding with security improvement by chaotic encryption”, IEEE Access, vol. 7, pp. 38337-38347, March 2019 (SCI) (https://doi.org/10.1109/ACCESS.2019.2906500) |
| [37] | Yung-Yao Chen*, Chih-Hsien Hsia, Kuan-Yu Chi, and Bo-Yan Chen, “High-quality and high-capacity data hiding based on absolute moment block truncation coding”, J. Internet Technology, pp. 1-10, March 2019 (SCI) (https://doi.org/10.3966/160792642019032002007) |
| [38] | Yung-Yao Chen*, Chih-Hsien Hsia, and Chiao-Wen Lu, “Multiple exposure fusion based on sharpness-controllable fuzzy feedback”, J. Intelligent and Fuzzy Systems, vol. 36, pp. 1121-1132, March 2019 (SCI) (https://doi.org/10.3233/JIFS-169886) |
| [39] | Yung-Yao Chen*, Chih-Hsien Hsia, Sin-Ye Jhong, and Hsin-Ju Lin, “Data hiding method for AMBTC compressed images”, J. Ambient Intelligence and Humanized Computing, pp. 1-9, Nov. 2018 (SCI) (https://doi.org/10.1007/s12652-018-1048-0) |
| [40] | Yung-Yao Chen*, Wei-Sheng Chen, “High-quality blind watermarking in halftones using random toggle approach”, Multimedia Tools and Applications, vol. 77, pp. 8019-8041, April 2018. (SCI) (https://doi.org/10.1007/s11042-017-4697-7) |
| [41] | Yung-Yao Chen*, Yi-Cheng Zhang, “Drift-free tracking surveillance based on online latent structured SVM and kalman filter modules”, IEICE Trans. Information and Systems, vol. E101D, pp. 491-503, Feb. 2018. (SCI) (https://doi.org/10.1587/transinf.2017EDP7190) |
| [42] | Yung-Yao Chen*, Kuan-Yu Chi, Kai-Lung Hua, “Design of image barcodes for future mobile advertising”, EURASIP J. Image and Video Processing, Vol. 2017, pp. 1-12, Dec. 2017. (SCI) (https://doi.org/10.1186/s13640-016-0158-x) |
| [43] | Yung-Yao Chen*, Kuan-Yu Chi, “Cloud image watermarking: high quality data hiding and blind decoding scheme based on block truncation coding”, Multimedia Systems, pp. 1-13, July 2017 (SCI) (https://doi.org/10.1007/s00530-017-0560-y) |
| [44] | Wen-Hsiung Huang, Yung-Yao Chen, Pei-Yu Lin, Che-Hao Hsu, Kai-Lung Hua*, “Efficient and accurate document image classification algorithms for low-end copy pipelines”, EURASIP J. Image and Video Processing, Vol. 2016, pp. 1-11, Dec. 2016. (SCI) (https://doi.org/10.1186/s13640-016-0135-4) |
| [45] | Yung-Yao Chen*, Tamar Kashti, Mani Fischer, Doron Shaked, Robert Ulichney, and J. P. Allebach, “The lattice-based screen set: a square N-color all-orders moir?-free screen set”, IEEE Trans. Image Processing, Vol. 25, pp. 1873-1886, April 2016. (SCI) (https://doi.org/10.1109/TIP.2016.2523428) |
| [1] | Si-Yu Lu, Yung-Yao Chen, I-Tung Wu, Hsin-Chun Lin, Wen-Huang Cheng, “Radiance Field-based Pose Estimation via Decoupled Optimization Under Challenging Initial Conditions”, Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), accepted, Oct. 2024. |
| [2] | Chao-Lung Yang, Ming-Chieh Cheng, Yulius Harjoseputro, Chi-Hao Chien, and Yung-Yao Chen, “Integrating Generative Adversarial Networks and Clustering Techniques for Automated Screen Printing”, Proc. IEEE 6th International Conference on Computer Communication and the Internet (ICCCI), May 2024. DOI: https://doi.org/10.1109/iccci62159.2024.10674320 |
| [3] | Ba-Lin Lin, Yong-Xiang Lin, Bayisa Kune Mamade, Yung-Yao Chen, and Kai-Lung Hua, “GazeVAE: Gaze Visual Attention Estimator”, Proc. 2024 IEEE International Conference on Consumer Electronics (ICCE), Jan. 2024. DOI: 10.1109/ICCE59016.2024.10444171 |
| [4] | Yao-Bang Huang, Yong-Xiang Lin, Ahmad Fauzan Aqil, Yung-Yao Chen, and Kai-Lung Hua, “Graph Involutional Networks with Dynamic Feature Fusion for Skeleton-Based Action Recognition”, Proc. 2024 IEEE International Conference on Consumer Electronics (ICCE), Jan. 2024. DOI: 10.1109/ICCE59016.2024.10444342 |
| [5] | Zhe-Kai Hu, Sin-Ye Jhong, Hao-Wei Hwang, Shih-Hsuan Lin, Shih-Che Chien, Kai-Lung Hua, and Yung-Yao Chen*, “Bi-Directional Bird’s-Eye View Features Fusion for 3D Multimodal Object Detection and Tracking”, Proc. The 2023 International Automatic Control Conference (CACS), Penghu, Taiwan, Oct. 2023. (研討會最佳論文佳作) |
| [6] | Sin-Ye Jhong, Ching-Hsiang Ko, Yi-Feng Su, Kai-Lung Hua, and Yung-Yao Chen*, “Efficient Lane Detection based on Feature Aggregation for Advanced Driver Assistance Systems”, Proc. The 2023 IEEE International Conference on Advanced Robotics and Intelligent Systems (ARIS 2023), Taipei, Taiwan, Aug. 2023. (研討會最佳論文佳作) |
| [7] | Hung-Tse Chan, Yi-Hung Liu, Yih-Wen Tarng, Ching-Han Lin, Man-Lin Wu, and Yung-Yao Chen*, “An Image Enhancement Method for Deep Learning-Based Rib Fracture Detection”, Proc. The 2023 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), Kenting, July 2023. |
| [8] | Hung-Tse Chan, Yan-Wei Liao, Sin-Ye Jhong, Shih-Che Chien, Kai-Lung Hua, and Yung-Yao Chen*, “A Skin Type Classification Method Using Mobile Device-Based Deep Learning Model”, Proc. The 9th IEEE International Conference on Applied System Innovation, Tokyo, Japan, April 2023. |
| [9] | Hao-Wei Hwang, Sin-Ye Jhong, Yu-Quan Wang, Yi-Ting Chen, John Jethro Corpuz Virtusio, and Yung-Yao Chen*, “Enhancing Local Structure with Semantic Split Feature Transform for Voxel-Based 3D Detectors”, Proc. The 19th International Conference on Automation Technology (Automation 2022), Nov. 2022. |
| [10] | Si-Yu Lu, Sin-Ye Jhong, Wei-Jia Cheng, and Yung-Yao Chen*, “Fast Learning-Based 3-D Lidar Localization with Multiscale Feature Recursive Matching for Autonomous Driving”, Proc. The 2022 International Automatic Control Conference (CACS 2022), Nov. 2022. (通訊作者)(研討會最佳論文獎,佳作) |
| [11] | Yao-Ming Zhang, San-Wen Lin, Tzu-Hsiang Chou, Sin-Ye Jhong, and Yung-Yao Chen*, “Robust Lane Detection via Filter Estimator and Data Augmentation”, Proc. 2022 IEEE International Conference on Consumer Electronics - Taiwan, July 2022. (https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869116) |
| [12] | Sin-Ye Jhong, Yu-Quan Wang, Wei-Jia Cheng, Hao-Wei Hwang, and Yung-Yao Chen*, “LiDAR-Based Pedestrian Detection Using Multiple Features and Dimensionality Reduction Scheme”, Proc. The International Conference on System Science and Engineering 2022 (ICSSE 2022), May 2022. |
| [13] | Sin-Ye Jhong, Po-Yen Tseng, Natnuntnita Siriphockpirom, Chih-Hsien Hsia, Ming-Shih Huang, Kai-Lung Hua , Yung-Yao Chen*, “ An automated biometric identification system using CNN-based palm vein recognition”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, taiwan, Aug. 2020. (Conference Best Paper Award) |
| [14] | Yung-Yao Chen*, Sin-Ye Jhong, Guan-Yi Li, and Ping-Han Chen, “Thermal-based pedestrian detection using faster R-CNN and region decomposition branch”, Proc. Int. Symp. Intelligent Signal Processing and Communication Systems (ISPACS 2019), Taipei, Taiwan, Dec. 2019. |
| [15] | Ping-Han Chen, Bo-Chiuan Chen, Chih-Keng Chen, and Yung-Yao Chen*, “Infrared-based nighttime on-road obstacle detection by combining deep-learned and hand-crafted features”, Proc. The 4th SHANGHAI-STUTTGART symposium on Automotive and Powertrain Technology, Shanghai, China, Oct. 2019. |
| [16] | Yong-Xiang Lin, Daniel Tan, Wen-Huang Cheng, Yung-Yao Chen, Kai-Lung Hua*, “ Spatially-aware domain adaptation for semantic segmentation of urban scenes”, Proc. The 26th IEEE International Conf. Image Processing (ICIP), Taipei, taiwan, Sept. 2019. |
| [17] | Kuo-Hua Hsu, Ting-Chi Liu, Kai-Lung Hua, and Yung-Yao Chen*, “ Detail-preserved tone mapping based on joint global and local histogram equalization”, Proc. Second International Cognitive Cities Conference, Kyoto, Japan, Sept. 2019. |
| [18] | Shih-Chang Lin, Kai-Lung Hua, Guan-Yi Li, and Yung-Yao Chen*, “ Part-Based CNN for Infrared Pedestrian Detection”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Aug. 2019. |
| [19] | (Best Paper Award) Yu-Hsiu Lin, Chih-Hsien Hsia, Bo-Yan Chen, and Yung-Yao Chen*, “AMBTC-Based Data Hiding Using Intra- and Inter-Block Embedding Strategy”, Proc. The 7th Int. Conf. Communications, Computation, Networks and Technologies, Nice, France, Oct. 2018. (Conference Best Paper Award) |
| [20] | Tzu-Chieh Lin, Daniel Stanley Tan, Hsueh-Ling Tang, Shih-Che Chien, Feng-Chia Chang, Yung-Yao Chen, Wen-Huang Cheng, and Kai-Lung Hua, “Pedestrian detection from Lidar data via cooperative deep and hand-crafted features”, Proc. IEEE Int. Conf. Image Processing (ICIP), Athens, Greece, Oct. 2018. |
| [21] | Shih-Shinh Huang, Shih-Che Chien, Feng-Chia Chang, Guan-Yi Li, Chiung-Cheng Tsai, and Yung-Yao Chen*, “Infrared-based nighttime vehicle recognition using deep learning”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Sept. 2018. |
| [22] | Yung-Yao Chen*, Chih-Hsien Hsia, Yun-Chen Tsai, and Kuan-Yu Chi, “Halftone-based data hiding method using orientation modulation strategy”, Proc. First International Cognitive Cities Conference, Okinawa, Japan, Aug. 2018. |
| [23] | Yung-Yao Chen*, Chih-Hsien Hsia, and Chiao-Wen Lu, “Multiple Exposure Fusion Based on Sharpness-Controllable Fuzzy Feedback”, Proc. Int. Multi-Conf. Engineering and Technology Innovation (IMETI), Hualien, Taiwan, Oct. 2017. |
| [24] | Shih-Che Chien, Feng-Chia Chang, Chiung-Cheng Tsai, and Yung-Yao Chen*, “Intelligent All-Day Vehicle Detection Based on Decision-Level Fusion Using Color and Thermal Sensors”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Sept. 2017. |
| [25] | Zhao-Ming Liu, Yung-Yao Chen, S. Hidayati, Shih-Che Chien, Feng-Chia Chang, Kai-Lung Hua, “3D model retrieval based on deep Autoencoder neural networks”, Proc. Int. Conf. Signals and Systems (ICSigSys), pp. 290-296, Bali, Indonesia, May 2017. |
| [26] | Yung-Yao Chen*, Po-Han Chen, Shih-Che Chien, “An objective tracking method based on kalman filter”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Aug. 2016. |
| [27] | Shih-Che Chien, Yung-Yao Chen*, Sin-Hong Lin, and Kuan-Yu Chi, “Pedestrian characterization in infrared thermography imaging”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, Aug. 2016. |
| [28] | Yung-Yao Chen*, Wei-Sheng Chen, Hui-Sheng Ni, “Image segmentation in thermal images”, Proc. IEEE Int. Conf. Industrial Technology (ICIT), pp. 1507-1512, Taipei, Taiwan, March 2016. |
| [29] | Hsien-I Lin, Yi-Yu Chen, Yung-Yao Chen*, “Robot vision to recognize both object and rotation for robot pick-and-place operation”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, May 2015. |
| [30] | (Best Paper Award) Wei-Sheng Chen, Kai-Wen Chen, Hui-Sheng Ni, Yung-Yao Chen*, “A novel barcode system for intelligent automation industry”, Proc. Int. Conf. Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, May 2015. (Conference Best Paper Award) |
| [1] | Taiwanese Patent I643159 |
| [2] | Taiwanese Patent I643160 |
| [3] | US patent 9990686 B2 |
| [4] | US patent 9544467 B2 |
| [5] | Taiwanese Patent I543588 |
| [6] | Taiwanese Patent I530914 |
| [7] | US patent 9344600 B2 |
| [8] | Taiwanese Patent I507909 |
| [9] | Taiwanese Patent I514840 |
| [10] | US patent 8730547 B2 |
| [1] | 臺科大智慧電動車研究中心: https://www.digitimes.com.tw/iot/article.asp?cat=158&cat1=20&cat2=220&id=620882 |
| [2] | 臺科大電動車隊及ADAS感知 https://www.youtube.com/watch?v=Zw7OkG4KVuY |
| [3] | 智慧電動車未來趨勢介紹 https://www.youtube.com/watch?v=o5I9cV35A4E&feature=emb_title |
| [4] | DeltaMOOCx台達線上磨課師(MOOCs)課程平台數位影像處理 https://www.youtube.com/watch?v=U0VtIp7X9dI&list=PLI6pJZaOCtF3s0_Mcwr2AT75DX3Q_SfDh |
Research Achievement
| Title | Total Amount | Conduct From | Conduct Until | Client |
|---|---|---|---|---|
| Development of AIoT Sensor Fusion Technology in Compliance with Taiwan IoT Cybersecurity Certification | 3,300,000 | 202211 | 202310 | National Science and Technology Council |
| 智慧感知及感知整合於自駕車的理論與應用探索(吳大猷獎研究計畫) | 6,750,000 | 20228 | 20257 | 科技部 |
| Vehicle Detection for Autonomous Car Sensing Based on Heterogeneous (Camera and LiDAR) Deep Learning (Outstanding Young Scholar Project) | 2,106,000 | 20208 | 20227 | Taiwan Ministry of Science and Technology |
| Perception, Decision and Control Subsystems of Autonomous Driving (2/3) | 14,945,000 | 20206 | 20215 | Taiwan Ministry of Science and Technology |
| Lidar-based smart sensing - A pedestrian detection system using LIDAR point cloud data | 1,988, 000 | 20198 | 20217 | Taiwan Ministry of Science and Technology |
| Perception, Decision and Control Subsystems of Autonomous Driving (1/3) | 13,575,000 | 20198 | 20205 | Taiwan Ministry of Science and Technology |
| Perception, Decision and Control Subsystems of Autonomous Driving | 6,076,000 | 201812 | 20197 | Taiwan Ministry of Science and Technology |
| All-Day Visible & FIR Pedestrian Detection System Based on Adaptive Fusion Mechanism | 869,000 | 20188 | 20199 | Taiwan Ministry of Science and Technology |
| Automatic nighttime surveillance system (pedestrian detection and tracking) based on far infrared thermal imaging | 711,000 | 20178 | 20189 | Taiwan Ministry of Science and Technology |
Student
| Academic Year | Thesis Title | Student |
|---|
| Academic Year | Thesis Title | Student |
|---|
| Academic Year | Project Title | Student |
|---|
| Year | Deeds |
|---|