🖐️Hi, thanks for stopping by! 😉🎶😊🎈 🗨️I’m a Post-Doc Research Associate 👧👩🎓 supervised by Dr. Guorong Wu👨👨🎓 at UNC-Chapel Hill. I got my PhD degree at South China University of Technology advised by Prof. Guorong Wu and Prof. Hongmin Cai. My research interests cover geometric deep learning, graph learning, computational neuroscience, machine learning and neuroimage data analysis.
🔥 News
🔓 Our lab (PI: Dr. Guorong Wu) is looking for highly motivated students (computer science, medical image analysis, machine learning and bioinformatics), in terms of PhD students/RA/TA/externship/internship/visiting students. Interested candidates are strongly encouraged to contact Dr. Wu by email, together with resume and transcripts.
- 🌳 06/09/2025: A paper was accepted by IEEE Transactions on Medical Imaging.
- 🍰 05/21/2025: A paper was accepted by IEEE Transactions on Biomedical Engineering.
- 🧠 05/12/2025: A paper was early accepted by MICCAI 2025.
- 🫡 03/15/2025: A paper was accepted by IEEE Transactions on Medical Imaging. [TMI]
- 💯 01/22/2025: Two papers were accepted by IPMI 2025 (Oral).
- 🌟 01/22/2025: A paper was accepted by ICLR 2025 (Spotlight). [ICLR 2025]
- ✨ 01/01/2025: Two papers (ONE Tutorial) were accepted by IEEE ISBI 2025. [ISBI 2025]
- ✌️ 09/25/2024: A paper was accepted by NeurIPS 2024. [NeurIPS 2024]
- 🎉 06/17/2024: Four papers were accepted by MICCAI 2024. [MICCAI 2024]
- 👍 05/14/2024: A paper was accepted by Medicial Imgae Analysis. [MIA 2024]
- 🤞05/01/2024: A paper was accepted by ICML 2024. [ICML 2024]
- 😉 01/22/2024: A papers was accepted by IEEE ISBI 2024 (Oral). [ISBI2024]
- ❤️ 09/30/2023: A paper was accepted by NeurIPS 2023. [NeurIPS 2023]
- 😁 08/21/2023: A paper was accepted by IEEE Transactions on Medical Imaging. [IEEETMI]
📝 Recent Publications (*: co-first author)
Revealing Cortical Spreading Pathway of Neuropathological Events by Neural Optimal Mass Transport
Tingting Dan, Yanquan Huang, Yang Yang and Guorong Wu
Explainable Deep Model for Understanding Neuropathological Events Through Neural Symbolic Regression (Oral)
Tingting Dan and Guorong Wu
A Multi-Layer Neural Transport Model for Characterizing Pathology Propagation in Neurodegenerative Diseases
Haifeng Huang, Yi Wang, Tingting Dan*, Yang Yang and Guorong Wu
Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies (Spotlight)
Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu and Won Hwa Kim
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
Ziquan Wei, Tingting Dan, Jiaqi Ding, Paul Laurienti, Guorong Wu
TauFlowNet: Revealing Latent Propagation Mechanism of Tau Aggregates Using Deep Neural Transport Equations
Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, Guorong Wu
Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold
Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
HoloBrain: A Harmonic Holography for Self-organized Brain Function (Oral)
Huan Liu, Tingting Dan*, Won Hwa Kim, Minjeong Kim, Paul Laurienti, Guorong Wu
Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network
Tingting Dan, Zhuobin Huang, Hongmin Cai, Paul Laurienti, Guorong Wu
Uncovering Shape Signatures of Resting-state Functional Connectivity by Geometric Deep Learning on Riemannian Manifold
Tingting Dan, Zhuobin Huang, Hongmin Cai, Robert G. Lyday, Paul Laurienti, Guorong Wu
🔭 I’m currently working on human brain data analysis.
Powered Since Oct. 2024
