Yule Wang
756 W Peachtree St NW
Atlanta, GA 30308
School of CSE, Georgia Institute of Technology
Email: yulewang [at] gatech [dot] edu
I am a fourth-year Ph.D. student in the Machine Learning Program and the CSE Department at Georgia Tech (GaTech). My advisor is Prof. Anqi Wu. I obtained my Master’s and B.Eng.’s degree from Shanghai Jiao Tong University majoring in Software Engineering. I also spent time as a research intern at Meta and Alibaba.
Research Interests
My ML research focuses on deep generative models and time-series analysis, with their applications in computational neuroscience. Working with multivariate time-series data, I develop ML algorithms to infer semantically meaningful latent structures and dynamics through advanced generative modeling approaches (e.g., diffusion models, disentangled variational auto-encoders).
I am open to collaborate! 💡 Feel free to drop me an email if you are interested!
News
| Aug 15, 2025 | I am fortunate to work as a Research Scientist Intern at Meta Reality Labs, in New York City during the summer of 2025. |
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| Apr 16, 2025 | I have been selected as a finalist for the Neuro Next Graduate Research Award. |
| Oct 15, 2024 | I received the NeurIPS 2024 Scholar Award. Looking forward to seeing you in Vancouver, Canada! |
Selected Publications
- arXivUncovering Semantic Selectivity of Latent Groups in Higher Visual Cortex with Mutual Information-Guided DiffusionarXiv preprint arXiv:2510.02182 (ICLR’26 Submission), 2025
- ICMLLearning Time-Varying Multi-Region Communications via Scalable Markovian Gaussian ProcessesInternational Conference on Machine Learning Oral, 2025
- NeurIPSExploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion ModelsAdvances in Neural Information Processing Systems, 2024
- NeurIPSExtraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion ModelsAdvances in Neural Information Processing Systems Spotlight, 2023