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9VVQAQ/README.md

Hello, I'm [Tianyu Gao] 👋

👨‍💻 About Me

I am a 2027 fall undergraduate student engaged in research on artificial intelligence applications and robotic perception. My research focuses on the application of computer vision and anomaly detection in engineering, integrated circuits (EDA), autonomous driving, and robotics.

I'm very eager to connect with peers/PhDs! If you're interested in my research area (or if I have potential to become your student), please don't hesitate to reach out!

  • 🎓 Currently: Sichuan University Automation (Outstanding Engineer Program)
  • 🔬 Exchange Experience: Clausthal University of Technology, Germany; Westlake University, China
  • 💻 Selected Honors: National Scholarship, Sichuan University Comprehensive Scholarship
  • 📧 Contact: [gaotianyu@stu.scu.edu.cn/2586810016@qq.com]
  • Other Interests: Soccer, electronic music, modern orchestral music, Celtic music (his label won the 2023 Hollywood Best Recording Award; his solo track reached #23 on Beatport's Electronic Music Chart in April 2018)

🚀 Featured Projects

A controllable pipeline for generating synthetic mobile LiDAR datasets from static TLS datasets through domain transfer.

📊 GitHub Activity

GitHub Stats

Top Languages

📝 Publications

  • [Explainable fine-grained visual classification via structured semantic representation learning for construction machinery] - Knowledge-Based Systems (2025, Chinese Academy of Sciences Q1 Journal, IF=7.5)
    Link | Code

  • [Accurate and reliable vision-based tunnel face rock mass classification by explainable deep learning] - Tunnelling and Underground Space Technology (2025, Chinese Academy of Sciences Q1 Journal, IF=7.4)
    Link | Code

  • [Fine-Grained Motor Fault Identification Method Based on Cosine Margin Enhancement and Transformer] - Tunnelling and Underground Space Technology (2025, JCR Q1 Journal)
    Link | Code

🤝 Connect

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⭐️ From [Chengdu] | 🔬 Research | 💻 Open Source

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  1. awesome-anomaly-detection awesome-anomaly-detection Public

    Forked from hoya012/awesome-anomaly-detection

    A curated list of awesome anomaly detection resources

  2. EMG-Traffic-FPGA EMG-Traffic-FPGA Public

    Verilog

  3. FDCL-DA FDCL-DA Public

    Forked from qpuchen/FDCL-DA

    Source code for paper "Integrating foreground–background feature distillation and contrastive feature learning for ultra-fine-grained visual classification".

    Python

  4. FGIA1 FGIA1 Public

    Forked from chou141253/FGVC-PIM

    Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.

    Python