👋Hello! Here is Bonian.

📖 Starting in Fall 2026, I will pursue my Ph.D. in Computing at Boise State University under the supervision of Prof. Yu Zhang. Previously, I was a Ph.D. student in Computer Science at the NJIT (2025-2026). I received my B.S. in Statistics from Hangzhou Dianzi University in 2025.

👨‍💻 My research focuses on computer vision, continual learning, and embodied AI. I am also broadly interested in trustworthy machine learning, including model calibration and uncertainty quantification. Beyond these areas, I remain particularly interested in neural representation methods for spatial transcriptomics. Previously, I worked with Prof. Gongbo Liang at Texas A&M University-San Antonio on medical image analysis and neural network calibration, resulting in publications at EMBC, IEEE Big Data, and ACMSE. At NJIT, I worked with Prof. Zhi Wei on spatial transcriptomics; our work was accepted to MICCAI 2026.

If you are interested in my research, please feel free to contact me. CV

📰 News

• Jun 2026: Thrilled to share that our paper, “INST-Align: Implicit Neural Alignment for Spatial Transcriptomics via Canonical Expression Fields,” has been accepted to MICCAI 2026!
• Feb 2026: Paper submitted to MICCAI 2026.
• Sep 2025: Started Ph.D. in Computer Science at NJIT.
• Jul 2025: Graduated from Hangzhou Dianzi University with B.S. in Statistics.
• Oct 2024: Paper accepted at IEEE Big Data 2024.
• Jul 2024: Paper accepted at EMBC 2024.

🔎 My Research Interests

• Computer Vision
• Continual Learning
• Embodied AI
• Trustworthy Machine Learning
• Neural Representations for Spatial Transcriptomics

Hobbies: Basketball, Tennis, Running

🎾I used to be a ball boy at the 2022 Hangzhou Asian Games and served as a ball kid coach for teenagers aged 10-16 at the Hangzhou ATP 2024.