DAFTAR SEKARANG

Kampus Kami

Faculty of Artificial Intelligence

Wang Bin

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

Liu Hantang

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

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 training：Developed Tongyi Wanx, Alibaba’s foundation model on visual generation.

Lecturing:

Computer Vision, AI Research Frontiers.

Chen Zonghao

Ph.D., Shanghai Jiao Tong University

Research Focus:

Computer vision and generative AI.

Keywords:

  • AI for Panoramic Depth Perception: Created AI tools for better depth estimation.

Lecturing:

Programming, AI, Image & Video Generation.

Zhao Xin

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

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.

Shijie Li

Ph.D., Bonn University

Research Focus:

Embodied AI and Vision-Language Models.

Keywords:

  • 3D Visual Grounding (3DVG): Developed SeeGround, a model improving 3D object identification in augmented reality.

Lecturing:

Programming Fundamentals, AI Introduction.

Hu Shiyu

Ph.D., Chinese Academy of Sciences

Research Focus:

AI for psychology and vision tracking.

Keywords:

  • AI-Based Psychological Assessment: Developed intelligent psychological testing tools.
  • AI Tracking for UAVs: Created tracking systems for drones.

Lecturing:

AI, Calculus, Linear Algebra.

Wenjie Yang

Ph.D., Chinese Academy of Sciences

Research Focus:

Computer vision and generative AI.

Keywords:

  • Livestream Product Recognition: Built AI models for online shopping.
  • Cross-Domain AI Representation: Created tools to unify AI understanding across media.

Lecturing:

AI, Image Processing, Deep Learning.

Tian Shu

Ph.D., University of Science & Technology Beijing

Research Focus:

Object detection and AI for scene text recognition.

Keywords:

  • AI for License Plate Detection: Developed models for better recognition under real-world conditions.

Lecturing:

C++, AI, Discrete Mathematics.

Sijie Ren

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

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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