Scholar
Yule Wang
Google Scholar ID: vqsl1YYAAAAJ
Georgia Institute of Technology
Citations & Impact
Citations
112
H-index
5
i10-index
4
Publications
16
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Finalist for the Neuro Next Graduate Research Award in 2025; Recipient of the NeurIPS 2024 Scholar Award; Published multiple papers including an ICML 2025 oral presentation on 'Learning Time-Varying Multi-Region Communications via Scalable Markovian Gaussian Processes', a NeurIPS 2024 paper on 'Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models', and a NeurIPS 2023 Spotlight on 'Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models'.
Research Experience
- Research Scientist Intern at Meta Reality Labs during summer 2025; Research intern at Meta and Alibaba.
Education
- Master’s and B.Eng. degrees in Software Engineering from Shanghai Jiao Tong University; Ph.D. student in the CSE Department and Machine Learning Program at Georgia Tech, advised by Prof. Anqi Wu.
Background
- A fourth-year Ph.D. student in the Machine Learning Program, focusing on deep generative models and time-series analysis, with applications in computational neuroscience. Develops ML algorithms to infer semantically meaningful latent structures and dynamics through advanced generative modeling approaches (e.g., diffusion models, disentangled variational auto-encoders).
Miscellany
- Open to collaboration; feel free to drop an email.
