🍀About me
Come from Taiyuan, Shanxi, China, completed my undergraduate studies at the University of Emergency Management, and I am currently pursuing a master’s degree in computer science at ShenYang Jianzhu University, supervised by Prof.Yuanshuai. For now, my primary research focuses on fine-tuning diffusion models for deep estimation tasks.
I used to participate in many ACM algorithm competitions(2022-2023), but have now retired. In my daily life, I enjoy reading and photography. You can view my photography collection in the Gallery. I’m also a Golang backend developer. Feel free to communicate with me about CV and Golang 
 |  |  |
🔬Science
ApDepth: Aiming for Precise Monocular Depth Estimation Based on Diffusion Models
Jiawei Wang, Mengmeng Guo, Mingbo Lei
We present Apdepth, a diffusion model, and associated fine-tuning protocol for monocular depth estimation.
- Single-Step Inference: We fine-tuned the diffusion model for single-step denoising inference, significantly reducing inference time.
- Two-Stage Training Strategy: We adopted a two-stage training strategy, with the first stage focusing on feature alignment within the model and the second stage emphasizing the model's learning of inference.
- Result: Based on our training strategy, our model achieved remarkably outstanding results among all generative deep estimation models, while also producing more refined outputs compared to feedforward models.
🎈ACM ＆ OI
ACM Algorithm Competition participant, primarily competing in online contests on platforms such as Leetcode, Atcoder, and Codeforces. Historical ratings on each platform are available here.
🏆Speedrun
I have participated in many speedrun competitions, mainly working on the Hollow Knight IL project, and have achieved top 30 worldwide rankings in each of them, even winning a WR in one of them and a fourth place in another.
WR on Hollow Knight Trial of the Warrior