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Faculty of Artificial Intelligence

The AI Program at UPH is designed to equip students with the foundational knowledge and skills to excel in all aspects of AI, both practical and theoretical. Students will have the opportunity to learn from an international faculty of AI professionals and researchers from China, the US, and other leading countries. Through strategic partnerships, students will collaborate with industry experts and gain insights from lecturers with real-world experience. The program emphasizes hands-on learning, providing students with the chance to work on AI applications that have a direct business impact.

Programs

Undergraduate

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Faculty Members

These are some of faculty members. For a complete list, see next page

Rizaldi Sistiabudi
Rizaldi Sistiabudi
Dean
Wang Bin
Wang Bin
Academic Dean

Degree:

    Ph.D., John Hopkins University & ZheJiang University

Research Focus:

    Computer Vision, Medical Image Analysis and Computer Graphics

Keywords:

  • Pre-Training: Self-supervised video representation learning by context and motion decoupling.
  • Knowledge Graph Embedding: A survey of approaches and applications
  • Global and Local Panoramic Views for Gastroscopy: An assisted method of gastroscopic lesion surveillance

Lecturing:

    AI, Data Structure; Deep Learning
Andree Widjaja
Andree Widjaja
Associate Dean
Ma Yiming
Ma Yiming
Special Consultant
Qin Jiani
Qin Jiani
Project Lead
Liu Hantang
Liu Hantang
Academic Lead

Degree:

    Ph.D., Zhejiang University

Research Focus:

    Interpret architectural structures and generate 3D building models.

Keywords:

  • Facade Parsing with AI: Improved AI’s ability to interpret architectural structures.
  • AI Tracking Systems: Built robust tracking models for AI applications.

Lecturing:

    Advanced C++, Reinforcement Learning, Linear Algebra.
Feng Yutong
Feng Yutong
Lecturer

Degree:

    Master’s, Tsinghua University

Research Focus:

    Fundation model training and visual generative AI.

Keywords:

  • Text-to-Image AI Models: Created Ranni, a system improving AI’s ability to generate images from text.
  • Large model trainingļ¼šDeveloped Tongyi Wanx, Alibaba’s foundation model on visual generation.

Lecturing:

    Computer Vision, AI Research Frontiers.
Chen Yiming
Chen Yiming
Lecturer
Zhao Xin
Zhao Xin
Lecturer

Degree:

    Ph.D., University of Science & Technology of China

Research Focus:

    Computer vision, video processing.

Keywords:

  • GOT-10k: A large AI benchmark for object tracking.
  • BioDrone: AI vision tracking for drones.

Lecturing:

    Image Processing, Deep Learning.
Wang Zhe
Wang Zhe
Lecturer

Degree:

    Ph.D., Nanyang Technological University

Research Focus:

    Sustainable AI, model compression, edge AI.

Keywords:

  • YouTube-8M: Multimodal video classification project.
  • Neural Network Pruning: Created efficient model compression techniques.

Lecturing:

    Courses on Deep Learning, Linear Algebra at Peking University.

Yang Wenjie
Yang Wenjie
Lecturer
Ren Sijie
Ren Sijie
Lecturer

Degree:

    Ph.D. Candidate, Fudan University

Research Focus:

    Causal inference and medical AI application.

Keywords:

  • AI for Medical Imaging: Developed AI models for Alzheimer’s and polyp detection.
  • Health Prediction Models: Built systems to analyze children’s vision development.

Lecturing:

    Calculus, Machine Learning, AI.

Xu Rui
Xu Rui
Lecturer

Degree Ph.D. Candidate, Fudan University

Research Focus:

    Role-playing AI agents and large language models.

Keywords:

  • Personality in AI Agents: Developed psychological assessment methods for AI characters.
  • Role-Playing AI Models: Created datasets and frameworks for AI-driven decision-making.

Lecturing:

    AI, Probability & Statistics, Algorithms.
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