CV
Education
- M.S. in Schoold of Artificial Intelligence, University of Chinese Academic of Sciences, 2024
- B.S. in Schoold of Computer Science, Yancheng Institute of Technology, 2015
Work experience
- Nov,2023 - May,2024: AI Lab Intern at Well-Link
- Developed and trained 3D mesh generation networks utilizing Generative Adversarial Network (GAN) and Variational Autoencoder (VAE) architectures
- Pioneered the application of state-of-the-art diffusion models to generate highly detailed and realistic texture maps, achieved the best LPIPS and PSNR metrics. significantly enhancing the visual fidelity and aesthetics of 3D models and digital assets.
- Designed and implemented innovative interactive tools that effectively address spatial consistency challenges in 3D modeling, streamlining the workflow and ensuring the integrity and coherence of complex 3D structures.
- Optimized prompt effectiveness using multi-round dialogue techniques, reducing the average number of prompt words from 75 to 5 while maintaining high-quality output. These advancements streamlined user input, enhanced user experience, and increased production efficiency and output quality in conversational AI systems.
- 2015-2021: AI Algorigthm Engineer at Tingyun
- Leveraged Long Short-Term Memory (LSTM) neural networks to accurately forecast monthly active user counts, enabling proactive capacity planning
- Pioneered an innovative URL aggregation algorithm that drastically reduced storage requirements by 95% by applying the fundamental concepts of information entropy, enabling efficient and comprehensive data collection at an unprecedented scale.
- Designed and implemented a cutting-edge anomaly detection algorithm that performs real-time monitoring and identification of anomalies in massive, high-dimensional datasets from diverse internet sources.
Main Skills
Publications
