This space explores sequential sampling techniques with a focus on their applications in guiding diffusion models, vision-language models, and financial market simulations.

Diffusion Models – Improving the transport efficiency for diffusion generations.

Sequential Sampling – Inference-time steering for diffusion and vision-language models.

Market Simulation – Denosing-diffusion market simulators for hedging and risk control.

Feel free to contact me at: firstnamelastname056@gmail.com

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News

Apr, 2025. Invited Talk at Practitioners’ Seminar 2025 at Columbia University, hosted by Dr. Jae. Choi

Jan, 2025. 2 AISTATS on diffusion generative models are accpeted!

Nov, 2024. Invited Talk at Learning Meets Geometry, Graphs, and Networks , NY

Jun, 2024. 1 JCGS is accpeted. Federated HMC can be faster than Federated Langevin dynamics.

Apr, 2024. Variational Schrödinger Diffusion Models is accepted by ICML’24! Schrödinger diffusion is scalable now by linearizing the forward scores. Simulation-free property is all we need for scalability.

Apr, 2024. Reflected Schrödinger Bridge is accepted by UAI’24 as Oral. Reflected Schrödinger has the linear convergence of couplings via entropic optimal transport on bounded domains.

Apr, 2024. 2 ICML, 2 UAI (+1 Oral) and 1 AISTAT are accpeted!

Feb, 2024. Invited Talk at Statistics Colloquium at UConn

Dec, 2023. Participate Transport, Diffusion, and Sampling Workshop at Flatiron Institute.

Nov, 2023. Invited Talk at Financial Mathematics Seminar at FSU

Apr, 2023. One ICML on diffusion Schrodinger bridge with transformers is accepted!

Dec, 2022. The Contour Sampler is implemented in BlackJAX!

Feb, 2022. Invited Talk at Opt and ML Seminar at HKU

Oct, 2021. I have defended my thesis!

Oct, 2020. Invited Talk at ML + X Seminar at Brown University