🥸 About

I’m a M.S. student at Sensing IntelliGence and MAchine learning(SIGMA) Lab in Wuhan University, under the supervision of Prof. Zengmao Wang and Prof. Bo Du. Currently, I am a Research Intern in the Department of Computer Science at Purdue University, under the supervision of Prof. Ruqi Zhang. Before that, I was a Research Intern at TMLR Group, Hong Kong Baptist University, fortunately working with Prof. Bo Han and Jianing Zhu.
You can find my CV here, and my Research Statement here.

🚀 Research Interests

My primary research objective is to build a reliable and efficient AI model.
My research interests include trustworthy machine learning, particularly in reliability and its applications to boost the safety of foundation models. Besides, I am also experienced in other fields of machine learning, including incremental learning and active learning, and their application to computer vision.
If you are intereted in these areas or my previous works, feel free to reach out! I am always delighted for potential collaborations!

🔥 Recent News

• [Sept. 2024] Our paper titled “What If the Input is Expanded in OOD Detection?” has been accepted by NeurIPS 2024.
  
• [June 2024] Start my remote research internship in CS@Purdue University, collaborating with Dr. Ruqi Zhang.
  
• [May 2024] Successfully defended my Master thesis!
• [April 2024] I will join CS@Purdue University as a research intern in June 2024.
  
• [Jan. 2024] One paper has been accepted by GRSL 2024.
  
• [Nov. 2023] I will join TMLR Group@ HKBU as a research intern.
  
• [Oct. 2023] Honored to receive 3rd Prize @ TBM Machine Learning Competition.
  

📖 Education

• M.S. in Artificial Intelligence, 2022.09 - 2024.06
  School of Computer Science
  Wuhan University (WHU), Hubei, China
• B.Eng. in Computer Science and Technology, 2018.09 - 2022.06
  School of Computer Science
  Wuhan University (WHU), Hubei, China

👨🏻‍💻 Research Experience

• Research Intern, 2024.06 -
  Department of Computer Science, Purdue University
  Supervisor: Prof. Ruqi Zhang
  Topic: Uncertainty Quantification in LLMs
• Research Intern, 2023.11 - 2024.06
  TMLR Group, HongKong Baptist University (HKBU)
  Supervisor: Prof. Bo Han
  Collaborate with: Jianing Zhu
  Topic: Out-of-distribution Detection
• Research Intern, 2023.08 - 2023.10
  School of Civil Engineering, Wuhan University (WHU)
  Supervisor: Prof. Xiaoping Zhang
  Topic: ML Applications in Tunnel Boring Machine
• Research Assistant, 2022.09 -
  SIGMA Lab, Wuhan University (WHU)
  Supervisor: Prof. Zengmao Wang and Prof. Bo Du
  Topic: Computer Vision in Remote Sensing, Continual Learning (now)
• Undergraduate Research Assistant, 2021.12 - 2022.05
  NERCMS, Wuhan University (WHU)
  Supervisor: Prof. Jing Xiao
  Topic: Open-set Domain Adaptation

💻 Recent Projects

(For more details can click the images)

📝 Publications

(* indicates equal contribution)

• Boxuan Zhang*, Jianing Zhu*, Zengmao Wang, Tongliang Liu, Bo Du and Bo Han.
  What If the Input is Expanded in OOD Detection?
  In Advances in Neural Information Processing Systems (NeurIPS), Vancouver, 2024.
  [BibTeX] [PDF] [Code] [Project]

  @inproceedings{zhang2024what,
    title={What If the Input is Expanded in OOD Detection?},
    author={Zhang, Boxuan and Zhu, Jianing and Wang, Zengmao and Liu, Tongliang and Du, Bo and Han, Bo},
    booktitle={The Thirty-Eighth Annual Conference on Neural Information Processing Systems},
    year={2024},
  } 

• Boxuan Zhang, Zengmao Wang and Bo Du.
  Boosting Semisupervised Object Detection in Remote-Sensing Images With Active Teaching
  In IEEE Geoscience and Remote Sensing Letters (GRSL), 2024
  [BibTeX] [PDF] [Code]
  

  @article{zhang2024boosting,
    title={Boosting Semi-Supervised Object Detection in Remote Sensing Images with Active Teaching},
    author={Zhang, Boxuan and Wang, Zengmao and Du, Bo},
    journal={IEEE Geoscience and Remote Sensing Letters},
    year={2024},
    publisher={IEEE}
  } 

💻 Projects

• Machine Learning for Tunnel Boring Machine Excavation
  CSRME, National Competition @ Shanghai, Oct. 2023
  [Slides] [Technical Paper] [Code]
• Self-Supervised Techniques for Intelligent Image Annotation
  Department of Science and Technology of Hubei Province, Technology Innovation Program, April 2023
  

🎖️ Awards

• Outstanding Communist Party and Youth League member, Wuhan University, April 2024
• Third Prize Winner of TBM Machine Learning Competition, Oct. 2023