Selected Publications

• “SDA-LLM: Spatial DisAmbiguation via Multi-turn Vision-Language Dialogues for Robot Navigation”, IROS 2025. 

• “The Survey Hole Inpainting Problem: A Machine Learning Approach”, IEEE Trans. on Mobile Computing, 2025.

• “Trapezoid-structured LSTM with Segregated Gates and Bridge Joints for Video Frame Inpainting”, The Visual Computer, 2024. 

• “MPVF: 4D Medical Image Inpainting by Multi-Pyramid Voxel Flows”, IEEE J. of Biomedical and Health Informatics, 2023. 

• “SensePred: Guiding Video Prediction by Wearable Sensors”, IEEE Internet of Things Journal, 2023.

• “A Multi-embedding Neural Model for Incident Video Retrieval”, Pattern Recognition, 2022.

• “An Auto-Encoder Multi-Task LSTM Model for Boundary Localization”, IEEE Sensors Journal, 2022.

• “Magnetic Field-based Localization in Factories Using Neural Network with Robotic Sampling”, IEEE Sensors Journal, 2020.

Academia Positions

• Chair Professor, NYCU (陽明交通大學/講座教授)

• Director, Pervasive AI Labs, NYCU (陽明交通大學/人工智慧普適研究中心/主任)

• Founding Dean, College of Artificial Intelligence (陽明交通大學/智慧科學院/創院院長)

Research Interests

• LLM, VLM, 3D & Spatial Reasoning

• AI and Deep Learning

• IoT, Networking, Computer Vision

Honors and Awards

• National Chair Professorship, 2020.02~2023.01 (第23屆國家講座，工程與應用科學類)

• 科技部「傑出特約研究員獎」(107年度)

• 清華大學傑出校友, 2019.

• TWAS Prize in Engineering Sciences, by The World Academy of Sciences, 2018.

• W. Y. Pan Distinguished Research Award, 2015. (潘文淵文教基金會, 傑出研究獎, 2015)

• Academic Award, Ministry of Education, 2014. (教育部第58屆學術獎, 2014, 工程及應用類)

• TECO Award, 2013. (第二十屆東元獎, 電機/資訊/通訊領域, 2013)

• Y. Z. Hsu Scientific Chair Professor(第十屆有庠科技講座教授, 通訊光電類, 2012/08~2013/07).

• K. T. Li Breakthrough Award,  2005. (李國鼎穿石獎)

• Distinguished Alumnus Award, 2005, Ohio State University.

• Outstanding Research Awards (科技部「傑出研究獎」三次) 

• IEEE Fellow

Contact

 新竹市大學路1001號 國立陽明交通大學 資訊工程系

 Department of Computer Science

 National Yang Ming Chiao Tung University

 Hsin-Chu, 30010, TAIWAN

 Email: yctseng@nycu.edu.tw

 Tel: +886-3-5712121 ext. 54700