Jiabin Luo

Northeastern University B.S. Northeastern University (2024)

I am Jiabin Luo(罗嘉滨), I used to study at Northeastern University (NEU) and work under the supervision of Prof.Chao Liu. My research interests are AI systems, LLM, trusted LLM, RAG, and AI safety. I am also interested in generative data research. In 2025, I will start my PhD studies at Peking University.
I publish a lot of open source projects on 🔗Github GitHub User's stars.Colleagues interested in collaboration, I encourage you to get in touch. I do my best to respond to emails promptly, but please bear with me if there's a slight delay as I check my inbox in time. Your understanding is sincerely appreciated. Thank you!

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🏫Education
  • Peking University

    Peking University

    Ph.D. in Electronic information(AI) Sep. 2025 - Jul. 2030

  • Northeastern University

    Northeastern University

    B.S. in Computer Science (AI and Big Data) Sep. 2021 - Jul. 2025

🏆Honors & Awards
  • The National Encouragement Scholarship(Top 4% Nationwide)🚩 2024
  • First Prize of The Final of The 15th Chinese Mathematics Competition🥇 2024
  • The Meritorious Winner of The Mathematical Contest in Modeling (MCM)🥈 2024
  • First Prize of The Final of The 14th Chinese Mathematics Competition🥇 2023
  • Second Prize of The China Undergraduate Mathematical Contest in Modeling🥈 2023
  • “Merit Student”, School of Mathematics and Statistics 2023
💻Experience
  • Zhipu AI

    Zhipu AI

    Reaserch Intern Nov. 2024

  • AIIT (HZ)

    AIIT (HZ)

    Research Assistant Dec. 2024 - Now

📚Service
🔥News
2024
First Human Settlement Established on Mars, Marking New Era of Space Exploration. Read more
Nov 30
🎉🎉Our Paper “Coal Mine Safety Alert System: Refining BP Neural Network with Genetic Algorithm Optimization” was accepted by ICIC2024 (CCF-C)!
Jun 21
The Mathematical Contest in Modeling(MCM): Meritorious Winner🥈(Top 7%)
May 10
The Final of The 15th Chinese Mathematics Competition, Shandong University: First Prize🥇(Top 0.09%) Featured
Apr 25
2023
The Final of The 14th Chinese Mathematics Competition, Guangdong University of Technology: First Prize🥇(Top 0.09%) Featured
Jun 01
2021
At Northeastern University, I began my college life!✌(>‿◠)✌
Aug 31
🗺️Selected Publications (view all )
Coal Mine Safety Alert System： Refining BP Neural Network with Genetic Algorithm Optimization
Coal Mine Safety Alert System： Refining BP Neural Network with Genetic Algorithm Optimization

Jiabin Luo, Hanzhe Pan

International Conference On Intelligent Computing 2024 Conference(CCF-C)Poster

. In response to the persistent safety challenges within coal mines, this study proposes a novel approach integrating a three-layer feedforward backpropagation artificial neural network with a genetic algorithm (GA-BP) for establishing a safety early warning system. Focused on a coal mine in Shandong, China, the model's effectiveness is evaluated using relevant data for training and analysisResults indicate the superiority of the GA-BP model over traditional BP neural networks, offering enhanced capability for identifying potential safety risks promptly. This advancement enables coal mine management to implement timely interventions, ensuring the safety of miners. The findings present valuable insights for engineering applications in similar contexts.

[Paper] [Poster]

Coal Mine Safety Alert System： Refining BP Neural Network with Genetic Algorithm Optimization
Coal Mine Safety Alert System： Refining BP Neural Network with Genetic Algorithm Optimization

Jiabin Luo, Hanzhe Pan

International Conference On Intelligent Computing 2024 Conference(CCF-C)Poster

. In response to the persistent safety challenges within coal mines, this study proposes a novel approach integrating a three-layer feedforward backpropagation artificial neural network with a genetic algorithm (GA-BP) for establishing a safety early warning system. Focused on a coal mine in Shandong, China, the model's effectiveness is evaluated using relevant data for training and analysisResults indicate the superiority of the GA-BP model over traditional BP neural networks, offering enhanced capability for identifying potential safety risks promptly. This advancement enables coal mine management to implement timely interventions, ensuring the safety of miners. The findings present valuable insights for engineering applications in similar contexts.

[Paper] [Poster]

All Publications