cv

B.S.

• Supervised by Professor Si Liu.
• GPA 3.78/4.0
• Core Courses
  • Data Structures[C++] (97/100), Python Programming (95/100)
  • Mathematical Analysis I (93/100), Linear Algebra (94/100), Mathematical Analysis II (99/100), Discrete Mathematics II (96/100)
  • Computer Organization (91/100), Operating Systems (91/100), Object-Oriented Programming (91/100)

ToddlerDiffusion——Flash Interpretable Controllable Diffusion Model

• Introduced an inherently interpretable and controllable diffusion model that systematically generates a chain of interpretable stages, generating sketches, palettes, and finally RGB images.
• Leveraged bridge architecture to reduce training and sampling steps to 10-20, but getting the same quality results as previous state-of-the-art methods.
• Under review for CVPR2024.

Cross-Attention and Seamless Replacement of Latent Prompts for High-Definition Image-Driven Video Editing

• Introduced a novel image-driven video editing task to generate customized video from an input image.
• Proposed a LIVE(Latent prompt-based Image-driven Video Editing)framework to deal with customized video editing task. Devised a training and inference pipeline specific to the video editing task maintaining cross-frame consistency while ensuring that the new object is coherent with the sequence’s motion.
• Accepted by Electronics.

• Special Prize for Learning Merit Scholarship
• Beihang University Excellent Student