Yung-Hui Li

// Director, Artificial Intelligence Research Center

About

Dr. Yung-Hui Li is the Founding Director of the Artificial Intelligence (AI) Research Center at the Hon Hai Research Institute, the core R&D hub for the most critical technologies in Hon Hai Technology Group (Foxconn)'s strategic "3+3+3" transformation initiative.

His current research interests encompass Artificial Intelligence, Deep Learning, Generative AI, LLMs, Multimodal Foundation Models, and their applications in Computer Vision, Autonomous Driving, Smart Manufacturing, and Biometrics. He has authored over 130 papers in the fields of AI, deep learning, and machine learning, with publications in top-tier conferences such as CVPR, EMNLP, and AAAI, as well as leading journals including IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), IEEE Transactions on Cybernetics (T-CYB), IEEE Transactions on Intelligent Transportation Systems (T-ITS), IEEE Transactions on Intelligent Vehicles (T-IV), and ACM Computing Surveys.

Expertise

Artificial Intelligence, Deep Learning, Generative AI, LLMs, Multimodal Foundation Models, and their applications in Computer Vision, Autonomous Driving, Smart Manufacturing, Biometrics

Education

He received his B.S. degree from National Taiwan University in 1995, his M.S. degree from the University of Pennsylvania in 1998, and his Ph.D. from the School of Computer Science at Carnegie Mellon University in 2010. Prior to joining Hon Hai, he was a tenured faculty member in the Department of Computer Science and Information Engineering at National Central University. Dr. Li has actively contributed to the global academic community, serving as an industry chair, publicity chair, and technical program committee member for numerous prestigious international conferences.

Awards

Dr. Li has spearheaded groundbreaking projects with significant industry impact. He led his team to develop FoxBrain, the first Large Language Model (LLM) in the Traditional Chinese domain engineered for advanced reasoning capabilities. FoxBrain is also a foundational model uniquely infused with deep manufacturing know-how, establishing it as a fundamental pillar for Hon Hai's three major intelligent platforms: Smart Manufacturing, Smart Electric Vehicles, and Smart Cities. His contributions to the field of autonomous driving are particularly outstanding. His team has consistently achieved top-tier rankings in major global autonomous driving challenges, including:

  • Champion, Argoverse 1 & 2 Motion Forecasting Competition (CVPR 2023 & 2024)

  • Champion, Waymo Sim Agents Challenge (CVPR 2024)

  • Runner-up, Waymo Motion Prediction Challenge (CVPR 2024)

  • Champion, Waymo Interaction Prediction Challenge (CVPR 2025)

Furthermore, Dr. Li is a multiple gold and silver medalist at world-renowned invention exhibitions, including the International Exhibition of Inventions of Geneva, INPEX in Pittsburgh, and the Silicon Valley International Invention Festival.

Publications

2022

HEURISTIC ATTENTION REPRESENTATION LEARNING FOR SELF-SUPERVISED PRETRAINING

Van Nhiem Tran, Shen-Hsuan Liu, Yung-Hui Li, Jia-Ching Wang
Sensors 2022, 22(14), 5169

2022

A Survey of Vietnamese Automatic Speech Recognition

Cao Hong Nga, Chung-Ting Li, Yung-Hui Li, Jia-Ching Wang

2022

Peng-Cheng Huang, Ching-Chun Chang, Yung-Hui Li

2022

Conditional Wasserstein Generative Adversarial Networks for Rebalancing Iris Image Datasets

Yung-Hui Li, Muhammad Saqlain Aslam, Latifa Nabila Harfiya, Ching-Chun Chang

2021

Featureless Blood Pressure Estimation Based on Photoplethysmography Signal Using CNN and BiLSTM for IoT Devices

Yung-Hui Li, Latifa Nabila Harfiya, Ching-Chun Chang

2021

Super-Resolution Generative Adversarial Network Based on the Dual Dimension Attention Mechanism for Biometric Image Super-Resolution

Chi-En Huang, Yung-Hui Li, Muhammad Saqlain Aslam, Ching-Chun Chang
Sensors 2021, 21(23), 7817

2021

Recovery of Ionospheric Signals Using Fully Convolutional DenseNet and Its Challenges

Merlin M. Mendoza, Yu-Chi Chang, Alexei V. Dmitriev, Chia-Hsien Lin, Lung-Chih Tsai, Yung-Hui Li, Mon-Chai Hsieh, Hao-Wei Hsu, Guan-Han Huang, Yu-Ciang Lin, Enkhtuya Tsogtbaatar
Sensors 2021, 21(19), 6482

2021

Efficient (k, n)-threshold secret sharing method with cheater prevention for QR code application

Peng-Cheng Huang, Ching-Chun Chang, Yung-Hui Li

2021

Mask Attention-SRGAN for Mobile Sensing Networks

Chi-En Huang, Ching-Chun Chang, Yung-Hui Li
Sensors 2021, 21(17), 5973

2021

Continuous Blood Pressure Estimation Using Exclusively Photopletysmography by LSTM-Based Signal-to-Signal Translation

Latifa Nabila Harfiya, Ching-Chun Chang, Yung-Hui Li
Sensors 2021, 21(9), 2952

2021

Latifa Nabila Harfiya, Ching-Chun Chang, Yung-Hui Li