(†: equal contribution, ~: corresponding author)

Working Paper

• Semantic Learning for Molecular Communication in Internet of Bio-Nano Things
  Hanlin Cai, Ozgur B. Akan
  arXiv. February, 2025.
  

Conference Paper

• Securing Billion Bluetooth Low Energy Devices Using Cyber-Physical Analysis and Deep Learning Techniques
  Hanlin Cai†, Yuchen Fang†, Jiacheng Huang, Honglin Liao, Meng Yuan, Zhezhuang Xu~
  The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Undergraduate Consortium.
  Barcelona, Spain. August, 2024.
  

• Poster: Hybrid Detection Mechanism for Spoofing Attacks in Bluetooth Low Energy Networks
  Hanlin Cai, Yuchen Fang, Jiacheng Huang, Meng Yuan, Zhezhuang Xu~
  The 22nd ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2024), Poster Session.
  Tokyo, Japan. June, 2024.

• SeeMusic: XR-Enhanced Musical Language Training Application for Hearing-impaired Children
  Linshi Li, Xianjinghua Chen, Yutian Qin and Hanlin Cai~
  The 14th IEEE International Conference on Educational and Information Technology (ICEIT 2025).
  Guangzhou, China. March, 2025.

Degree Thesis

• Hybrid Detection Mechanism for Spoofing Attacks in Bluetooth Low Energy Networks
  Hanlin Cai (Advisor: Zhezhuang Xu). Best Bachelor Thesis Award (Top 1/300).
  Proposal paper has been accepted by AAAI 2024
  Expect to submit a long paper to KDD 2024.

• Industrial Inspection System based on Intelligent IoT and Bionic Quadruped Robot
  Hanlin Cai (Advisor: Zhezhuang Xu, Yuxiong Xia). Junior-year Intern Program.
  Industrial Placement at China Huading Tech and IIoT Lab
  

  
  

Early Project

• Proposal: Securing Billion Bluetooth Devices leveraging Learning-based Techniques
  Final year project (FYP).
  Hanlin Cai (Advisors: Zhezhuang Xu, Tozammel Hossain)
  The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Undergraduate Consortium.
  Vancouver, Canada. February, 2024.

• Optimizing Traffic Sign Detection System Using Deep Residual Neural Networks Combined with Analytic Hierarchy Process Model
  Junior-year course design.
  Hanlin Cai, Zheng Li, Jiaqi Hu, Wei Hong Lim, Sew Sun Tiang, Mastaneh Mokayef, Chin Hong Wong
  The 28th International Conference on Artificial Life and Robotics.
  Beppu, Japan. February, 2023.
  Recommended for expanding publication in the Journal of Advances in Artificial Life Robotics (EI Compendex).

• An IoT Garbage Monitoring System for Effective Garbage Management
  First-year course design.
  Hanlin Cai, Jiaqi Hu, Zheng Li, Wei Hong Lim, Mastaneh Mokayef, Chin Hong Wong
  The 4th International Conference on Computer Engineering, Network and Intelligent Multimedia
  Surabaya, Indonesia. November, 2022 (EI Compendex).