Zhifeng Kong
Senior Research Scientist @ NVIDIA
About
I am a research scientist at NVIDIA. I work on audio understanding in the context of multi modalities including language, audio, and vision. I also work on deep generative models for audio, with a focus on audio diffusion models. Before I joined NVIDIA, I obtained a Ph.D. in Computer Science at UC San Diego advised by Professor Kamalika Chaudhuri. During my Ph.D., I have conducted research on understanding deep generative models, including their expressivity, reliability, controllability, and trustworthiness. I hold a B.S. in mathematics and applied mathematics from Xi'an Jiaotong University, China, in which I was luckily enrolled in the Honors Youth Program (少年班) and the National Honors Science Program (珠峰计划). My Erdős number is 3.
United States
Santa Clara
Computer Software
Deep Learning Research, 人工智能, 机器学习, 数据分析, Python, MATLAB, Mathematica, LaTeX, 深度学习, 数学建模
Experience

PHD Student
La Jolla
I work on deep generative models, including Diffusion Model, GAN, Normalizing Flow, and VAE. Specifically, I build state-of-the-art generative (diffusion) models for different applications. Besides diffusion models, I conduct research on interpretability, privacy, post-editing, and expressivity of deep generative models. I am also widely interested in conditional and multi-modal generative models.
Education
Zhifeng Kong's Contact Information
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