An Vuong

PhD student in EECS at Oregon State University. Previously ML Engineer at VNG Corp.

Vuong, A., McCann, M., Santos, J., & Lin, YT. (2025). Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching. SPIGM Workshop @ NeurIPS 2025 [pdf] [poster]. To be published in Transactions on Machine Learning Research.

Vuong, A., Nguyen, T., Nguyen, A., & Nguyen, T. (2025). Active Data Acquisition with Side information. preprint [pdf]

Vuong, A., Nguyen, A., & Nguyen, T. (2024). Active Data Acquisition - An Information Theoretic Approach. 2025 Workshop on Computing, Networking and Communications (ICNC’25) [pdf]

Vuong, A., & Nguyen, T. (2024). Perception-based multiplicative noise removal using SDEs. 2025 International Conference on Machine Learning and Applications (ICMLA’25) [pdf] [poster] [code]

Nguyen, N., Vuong, A., Nguyen, T., & Nguyen, T. (2024) On Minimizing Symbol Error Probability for Antipodal Beamforming in MIMO Gaussian Wiretap Channels. 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall).

Vuong, A., Nguyen, T., & Nguyen, T. (2023). Capacity achieving quantizer design for multiple-input multiple-output thresholding channels. 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1–6. [pdf] [code]

Ho-Van, K., Nguyen-Duc, T., Vuong-Binh, A., Do-Dac, T., Nguyen-Huu, T., & Pham-Hong, L. (2017). On information securing capability of cognitive radio networks under primary interference and artificial noise. 2017 International Conference on System Science and Engineering (ICSSE), 525–529.

Other writtings

Tutorial on Stochastic differential equations and Generative modelling (Summer 2024). [pdf]

A review of hardware-based acceleration of Ray tracing (Winter 2024). ECE570 Advanced Computer Architecture - Final project. [website]

Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods. (Winter 2024). ECE599 Statistical Learning - Final project. [pdf]

Wavelet denoising (Fall 2023). ECE565 Estimation Theory - Final project. [pdf] [code]

Reading report of Transmit Beamforming for Physical-Layer Multicasting (Fall 2022). ECE569 Convex Optimization - Final project. [pdf] [code]

Reading report of Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization (Spring 2022). ECE599 Matrix Analysis - Final project. [pdf] [code]