Yule Wang

CODA 1349R
756 W Peachtree St NW
Atlanta, GA 30308
School of CSE, Georgia Institute of Technology
Email: yulewang [at] gatech [dot] edu
I am a third-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 Computer Software Engineering. I also spent time as a research intern at ByteDance and Alibaba.
Research Topics
My Research Interest lies in probabilistic machine learning, with its applications in computational neuroscience. More specifically, my ML research focuses on the intersection of (deep) generative models and sequence modeling. Working with multivariate time-series data, I develop ML algorithms to infer semantically or scientifically meaningful latent structures and dynamics through advanced generative modeling approaches (e.g., disentangled variational auto-encoder, video diffusion models).
I am open to collaborate💡! Feel free to drop me an email if you are interested!
News
Oct 15, 2024 | I am honored to receive the NeurIPS 2024 Scholar Award. Looking forward to seeing you in Vancouver, Canada! |
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Selected Publications
- NeurIPSExploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion ModelsAdvances in Neural Information Processing Systems, 2024
- ICLRForward χ^2 Divergence Based Variational Importance SamplingInternational Conference on Learning Representations Spotlight, 2024
- NeurIPSExtraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion ModelsAdvances in Neural Information Processing Systems Spotlight, 2023