Zhifeng Kong
Senior Research Scientist at 英伟达公司
California, United States
Summary
👤
Senior🎓
Top SchoolZhifeng Kong is a Senior Research Scientist at NVIDIA with nine years of experience building and analyzing deep generative models for audio and multimodal understanding that span language, vision, and sound. He holds a Ph.D. in Computer Science from UC San Diego, where his work probed the expressivity, controllability, interpretability, and trustworthiness of diffusion models, GANs, flows, and VAEs. At NVIDIA he has driven advances in audio diffusion, speech denoising, and music generation, building state-of-the-art models and publishing at top venues such as ICLR and ICASSP. A strong mathematical background from Xi’an Jiaotong and honors programs underpins his approach to rigorous model design and evaluation. Less obvious: his academic network reaches an Erdős number of 3, reflecting deep collaborative ties across theory and applied ML.
9 years of coding experience
2 years of employment as a software developer
University of California, San Diego其他 DeeCamp, 其他 DeeCamp at Peking University学士 数学与应用数学（试验班）, 学士 数学与应用数学（试验班） at Xi'an Jiaotong UniversitySummer Visiting, Summer Visiting at University of AlbertaHonors Student Visiting Program Mathematics, Honors Student Visiting Program Mathematics at Georgia Institute of Technology
Github Skills (24)
computer-vision8
python8
deep-learning8
gpu8
machine-learning8
datasets7
torchvision7
generative-model7
neural-network6
tensorflow6
pytorch6
transfer-learning5
numpy5
artificial-intelligence4
diffusion-models4
Programming languages (2)
Github contributions (5)
zhifengkong/pytorch_diffusion_model_celebahq
Aug 2020 - Apr 2021
PyTorch implementation of the diffusion model on image generation
Contributions:7 commits, 2 PRs, 7 pushes in 8 months
pytorchdeep-learningdiffusionpytorch-implementationimage-generation
FengNiMa/VAE-TracIn-pytorch
Jun 2021 - Oct 2021
Contributions:8 commits, 6 pushes, 1 branch in 4 months
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