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mason l wang mason l wang i am an eecs phd student at mit csail where i am working with professor anna huang i am currently on leave working at xai where i lead the audio understanding team i am interested in audio generative modeling and signal processing i received my master s in electrical engineering at stanford university working at the stanford vision and learning lab i was advised by jiajun wu and mert pilanci you can contact me at masonlwang32 at gmail dot com or you can find me on twitter linkedin publications latent fourier transform mason l wang cheng zhi anna huang iclr 2026 oral top 1 1 of submissions paper website code arkiv we introduce novel frequency based controls for audio generative models by manipulating latents in the frequency domain subtractive training for music stem insertion using latent diffusion models ivan villa renteria mason l wang zachary shah zhe li soohyun kim neelesh ramachandran mert pilanci icassp 2025 paper examples we use a dataset of full mix songs stem subtracted songs and llm generated edit instructions to train a stem editing insertion diffusion model your browser does not support the video tag hearing anything anywhere mason l wang ryosuke sawata samuel clarke ruohan gao elliott wu jiajun wu cvpr 2024 video paper website dataset code arkiv we create a method of capturing real acoustic spaces from 12 rir measurements letting us play any audio signal in the room and listen from any location orientation we develop an audio inverse rendering framework that allows us to synthesize the room s acoustics monoaural and binaural rirs at novel locations and create immersive auditory experiences simulating music your browser does not support the video tag soundcam a dataset for finding humans using room acoustics mason l wang samuel clarke jui hsien wang ruohan gao jiajun wu neurips datasets and bencmharks 2023 project page video arxiv humans induce subtle changes to the room s acoustic properties we can observe these changes explicitly via rir measurement or by playing and recording music in the room and determine a person s location presence and identity realimpact a dataset of impact sound fields for real objects samuel clarke ruohan gao mason l wang mark rau julia xu jui hsien wang doug james jiajun wu cvpr 2023 highlight top 2 5 of submissions project page video arxiv everyday objects possess distinct sonic characteristics determined by their shape and material realimpact is the largest dataset of object impact sounds to date with 150 000 recordings of impact sounds from 50 objects of varying shape and material education and experience xai december 2025 audio understanding lead palo alto ca mit august 2024 december 2025 eecs phd student cambridge massachusetts sony ai june 2024 august 2024 research intern music foundation model team tokyo japan stanford university september 2022 june 2024 m s in electrical engineering specialization in signal processing and optimization gpa 4 22 4 3 course assistant for engr 108 3x ee 178 1x research assistant in cs 1x ee 1x the university of chicago october 2018 june 2022 b s in computer science with a specialization in machine learning b a in mathematics gpa 4 0 4 0 honors odyssey scholar enrico fermi scholar robert maynard hutchins scholar summa cum laude news 1 26 26 9 17 25 12 20 24 04 13 24 02 26 24 09 21 23 02 27 23 latent fourier transform is accepted to iclr 2026 as an oral second author submission to icassp 2026 subtractive training is accepted to icassp 2025 first author submission to ismir 2024 hearing anything anywhere is accepted to cvpr 2024 soundcam is accepted to neurips datasets and benchmarks 2023 realimpact is accepted to cvpr 2023 music works cosm9000 deep field reflections graph of notes website template based on jon barron s