你好,我是王梓涵 👋

Tech-generalist for applied AI systems.

电子信息硕士在读,聚焦 LLM 垂类应用流媒体视频智能前后端开发具身智能机器人大数据分析。I build end-to-end AI products from model training to production deployment.

学术侧已公开 4 篇论文(覆盖 IEEE DSA、IJCNN 与 SEKE),研究主线集中在软件可追溯性恢复医学影像综述实证机器学习方法

当前合作优先级:合作科研 > 技术合作 > 全职机会。欢迎通过 GitHub 联系;微信二维码位将很快补充。

王梓涵

Spotlight

GitHub contributions in the past year:

GitHub contributions of Wzhgeek in the last year

Skills

结合简历与常用技术栈节选;两行独立无限滚动,悬停暂停。

Python PyTorch TensorFlow OpenCV ONNX Jupyter pandas scikit-learn NVIDIA CUDA FFmpeg Docker Kubernetes Nginx Redis MySQL PostgreSQL Linux Ubuntu Apache Spark Ray MLflow
TypeScript JavaScript HTML CSS Astro React Vue Node.js Vite Tailwind CSS LangChain LangGraph Hugging Face Dify Ollama OpenAI FastAPI Flask Git GitLab VS Code MongoDB

Academic Focus

Software Traceability Recovery Systematic Review Empirical Study Design Benchmarking & Evaluation Reproducible Research Persistent Homology EEG Signal Analysis LaTeX Scientific Writing Ablation Study Requirements Engineering Multimodal Learning Paper Reading Workflow

发表论文 / Academic Publications

4 篇公开论文,研究主线覆盖 Software Traceability、Systematic Review 与 Empirical ML。

4 Papers 2 in 2025 Venues: DSA / IJCNN / SEKE
  • Deep Learning Methods for Thyroid Imaging Segmentation: a Systematic Review

    Li Yixuan, Wang Zihan, Yuan Yingkai, Guan Yuhang, Zhang Zhiqi

    12th International Conference on Dependable Systems and Their Applications (DSA), 2025

    DOI: 10.1109/dsa66321.2025.00055
  • Individualized NIPT Timing via Regression and Dynamic Programming

    Li Yixuan, Yuan Yingkai, Wang Zihan, Feng Yameng, Wu Chongguang

    12th International Conference on Dependable Systems and Their Applications (DSA), 2025

    DOI: 10.1109/dsa66321.2025.00057
  • Applications of Machine Learning in Requirements Traceability: A Systematic Mapping Study

    Li Xingfu, Wang Bangchao, Wan Hongyan, Deng Yang, Wang Zihan

    35th International Conference on Software Engineering and Knowledge Engineering (SEKE), 2023

    DOI: 10.18293/seke2023-135
  • An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods

    Wang Bangchao, Wang Zihan, Wan Hongyan, Li Xingfu, Deng Yang

    International Joint Conference on Neural Networks (IJCNN), 2023

    DOI: 10.1109/ijcnn54540.2023.10191386

My Projects

All projects »
YOLOv8 DeepSORT Streaming Edge / Server

非煤矿山智能 AI 视频监控系统

面向工业现场的多路视频流:目标检测与跟踪、风险告警逻辑自研、负载与部署工程化;与业务平台及大模型能力联动,支撑矿山场景智能化闭环。

RAG Dify LLM Workflow

非煤矿山智能大模型(RAG & Dify)

结合知识库、工作流与插件体系,面向矿山治理的问答、监控、数据管理与风险评估等能力;覆盖嵌入策略、后台数据访问与模型服务编排。

YOLOv5 ONNX Multimodal Education

智慧课堂教育服务平台(YOLOv5)

基于 RTSP 视频与课堂音频的多模态分析:师生互动与课堂行为检测、模型剪枝与加速、教学效果评估与反馈建议生成。

Transfer Learning VGG CV

织物纹饰风格 AI 迁移算法平台

在预训练视觉骨干上融合面料纹样与风格图案,完成纹饰风格的迁移与生成;覆盖数据构建、训练微调与工程交付。