Chengzhi Qian

Driven by a results-focused approach, I honed my computer skills and teamwork capabilities at United World College Changshu China, significantly enhancing project outcomes through innovative solutions and effective collaboration. My tenure at Chiyu Intelligent Technology further solidified my proficiency in Microsoft Office Suite, contributing to a marked increase in efficiency and organizational excellence. Skilled multitasker with superior work ethic and good teamwork, problem-solving and organizational skills. Willing to take on any task to help team. Reliable and dedicated team player with hardworking and resourceful approach.

• CCF Class C Conference: Deep Hash Learning of Feature-Invariant Representation for Single-label and Multi-label Retrieval
  Fourth Author
  Improved traditional deep learning-based hashing methods by dividing multi-label images into "strong similarity" and "weak similarity," thereby enhancing the accuracy of multi-label data retrieval. Proposed a novel deep hashing learning method based on Feature-Invariant Representation (FIDH), which ensures that transformed images maintain the same feature representation as the original image. This method focuses on deep understanding rather than deep learning.
• Computer Vision Project Using a Transformer for Image and Speech Generation
  Project Leader
  Proposed an end-to-end image and speech generation method based on the Transformer model, overcoming certain limitations of traditional methods. The introduction of attention mechanisms allows the model to better focus on relevant information within images, resulting in more accurate and coherent descriptions.
• Hyperspectral SAR Image Analysis Based on Convolutional Neural Network
  Project Leader
  Developed a convolutional neural network architecture specifically designed for hyperspectral SAR images, fully utilizing the unique characteristics of SAR images. Explored the application of data preprocessing and enhancement techniques in hyperspectral SAR image analysis, improving data quality and diversity. Conducted comprehensive experimental evaluations on multiple datasets and compared the proposed method with traditional approaches, demonstrating its effectiveness and superiority.

• 4 times of third class scholarships at the school level
• 3 times of the title awarded for Outstanding Student
• Provincial Outstanding Graduates

Very keen on play badminton and is a member of the school's badminton club