Faculty

陳永耀 Yung-Yao Chen photo
Position
Associate Professor
Education
Ph.D. Electrical and Computer Engineering, Purdue University - West Lafayette, IN, USA
E-mail
yungyaochen@mail.ntust.edu.tw
Room
EE 601-8

Office Hours Tue. Recruiting prospective international students. Please Email me first. 找我前請先寄Email給我,謝謝!
Telephone (02) 2737-6378
FAX (02) 2737-6424
Homepage https://sites.google.com/view/ntust-his-lab/
Laboratory 人機互動暨影像系統實驗室 (NTUST HIS Lab)
Major Field Computer vision, deep learning, vision-based automation, embedded AI applications, 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

2021.08 ~ 迄今(present) Co-Director, Taiwan Tech Smart Electric Vehicle Research Center (https://reurl.cc/n5MGED)
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 ~ 迄今(present) Associate Professor, Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology (NTUST))
2020.02 ~ 迄今(present) Member, AI Research Center, 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


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)
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 (recommended by National Chiao Tung University)

Research Achievement
  [1]   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)
  [2]   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)
  [3]   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)
  [4]   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)
  [5]   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)
  [6]   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)
  [7]   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)
  [8]   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)
  [9]   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)
  [10]   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)
  [11]   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)
  [12]   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)
  [13]   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)
  [14]   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)
  [15]   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)
  [16]   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)
  [17]   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)
  [18]   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)
  [19]   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)
  [20]   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)
  [21]   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]   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)
  [2]   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.
  [3]   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.
  [4]   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.
  [5]   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.
  [6]   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.
  [7]   (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)
  [8]   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.
  [9]   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.
  [10]   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.
  [11]   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.
  [12]   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.
  [13]   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.
  [14]   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.
  [15]   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.
  [16]   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.
  [17]   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.
  [18]   (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

Research Achievement
Title Total Amount Conduct From Conduct Until Client
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
M.S
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Academic Year Project Title Student
Year Deeds