Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
AI Employment Trends Visualization Dashboard
Published:
An interactive data visualization page built with Chart.js that presents the current impact of AI on the job market and emerging career trends.
portfolio
明厨亮灶管理系统
Published:
明厨亮灶管理系统是四川大学问题求解实战课程团队项目，其中我担任项目负责人，实现了Web端与微信小程序双平台的厨房监控管理系统。
南方财富金融理财平台
Published:
南方财富金融理财平台是基于Flutter框架开发的跨平台金融理财应用，支持Web、移动端等多平台，为用户提供社区交流、行情交易、资产管理等一站式金融服务。我在其中担任主要成员。
水稻图像精准控制生成平台
Published:
基于Swin-ControlNet的精准引导控制水稻图像生成平台，是一个融合了Swin Transformer与ControlNet技术的深度学习图像生成系统，我是该软件著作的第一权利所有人。该平台通过引入Swin Transformer模块构建双流空间变换器架构，利用水稻数据集（CVRP）进行训练，能够根据用户提供的控制提示（红色掩码区域）精准生成高质量的水稻图像。系统提供的Gradio Web界面支持多种参数配置，可广泛应用于农业图像生成、精准农业研究等领域。
基于图像大模型增强的恶劣天气交通目标检测方法研究
Published:
尽管交通目标检测方法在晴朗天气下已取得显著进展，但在恶劣天气条件下往往会失败，这归因于当前的训练数据缺乏包含雾、雨、雪等恶劣天气驾驶图像。我们提出基于图像大模型合成恶劣天气数据集的构建方法，并构建了一套贴近真实恶劣天气下的驾驶场景数据，用于增强后训练交通目标检测模型，大幅提升其在雾、雨、雪等恶劣天气条件下的车辆检测精度。
publications
AHFAControl: Adaptive Hierarchical Feature Aggregation for Controllable Diffusion Models
Published in 2026 IEEE International Conference on Multimedia and Expo (ICME), Oral, 2026
Recommended citation:
Download Paper | Download Slides | Download Video
talks
Efficient Architecture Optimization for Conditional Diffusion Models via Evolutionary Algorithms
Published:
This project is a provincial-level “National Undergraduate Innovation Training Program” project, positioned at the intersection of generative AI and design science. Starting from real-world application scenarios, it systematically examines the deep bottlenecks of existing conditional diffusion models in terms of control precision and generation quality, and conducts a systematic exploration spanning the entire pipeline from theoretical modeling, algorithm design, and experimental validation to engineering implementation and user deployment. The cumulative outputs include high-level conference papers, national invention patents, software copyrights, and a multi-agent AIGC system for design — forming a complete closed loop of “problem-driven → methodological innovation → outcome transformation → applied verification.” The system is currently open to real users, having accumulated genuine user feedback and practical experience, providing technical support and a practical paradigm for building efficient and controllable intelligent design capabilities.
teaching
Understanding Diffusion Models: From DDPM to Score
Undergraduate course, Sichuan University, College of Computer Science (Neural Network Design and Practice), 2026
This tutorial walks through the conceptual bridge from DDPM to score-based generative models — from maximum likelihood and energy-based models, through score matching and Langevin dynamics, to the multi-scale SDE formulation that unifies score-based models and diffusion models.