I am currently a senior undergraduate student majoring in Electronic Science and Technology at Beijing Institute of Technology. My research interests lie in non-invasive brain-computer interfaces, autonomous driving perception, and AIoT systems. I will be pursuing a fully funded PhD at the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST) starting Fall 2026, focusing on Smart Health. I am open to collaboration and discussion. Feel free to reach out via email: wonderhow@bit.edu.cn.

🔥 News

  • 2025.05:  🎉🎉 My first top-tier journal paper on brain-inspired decoding for brain-computer interfaces, combining neuroscience and AI, was successfully accepted by ESWA.
  • 2024.08:  🎉🎉 My first conference paper on pothole estimation for autonomous driving was successfully accepted by IEEE ICSIDP.

📝 Publications

ESWA
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Brain-Inspired Deep Learning Model for EEG-Based Low-Quality Video Target Detection with Phased Encoding and Aligned Fusion

Paper|Code|Slides|Wechat Artical

Dehao Wang, Jianting Shi, Manyu Liu, Wenao Han, Luzheng Bi and Weijie Fei*
Expert Systems with Applications
(ESWA, CAS Q1 top, IF:7.5, AR:15%)

TITS (review)
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Robust Video-Based Pothole Detection and Area Estimation for Intelligent Vehicles with Depth map and Kalman Smoothing

Paper

Dehao Wang, Haohang Zhu, Yiwen Xu and Kaiqi Liu*
IEEE Transactions on Intelligent Transportation Systems
(TITS, CAS Q2 Top, CCFB, IF:7.9)

📜 Patents

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A Developed Precision Feeding System for Aquaculture

Dehao Wang, Haorui Guo, Tingting Zhong, Zhoutong Li and Xiangfu Zhang*
National Invention Patent (published)

🎖 Honors and Awards

  • National Scholarship, Ministry of Education of China, 2024.
  • EHiWAY Scholarship, ​​EHiWAY Microelectronics, 2024.
  • Outstanding Student Model, Beijing Institute of Technology, 2024.
  • Research and Innovation Role Model, BIT Rui Xin Academy, 2024.
  • First-Prize Undergraduate Scholarship, ​​Beijing Institute of Technology, 2023 & 2024.
  • National First Prize, Big Data Mathematical Modeling Competition, 2023.

📖 Educations

💻 Internships

  • 2024.08 - 2025.05, Research Assistant, BIT Intelligent Human Machine Systems (IHMS) Lab, supervised by Prof.Luzheng Bi.