Zhifeng Kong
Scholar

Zhifeng Kong

Google Scholar ID: jAOD1dsAAAAJ
Senior Research Scientist, NVIDIA
Deep Generative ModelsDiffusion ModelsAudio Foundation ModelsAudio LMTrustworthy ML
Citations & Impact
All-time
Citations
3,047
 
H-index
15
 
i10-index
16
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Published papers: One paper published on INTERSPEECH 2023 and one on ECAI 2023; Projects: Involved in projects like DiffWave; Awards: Not specifically mentioned.
Research Experience
  • Served as a research scientist at NVIDIA, previously conducted research during Ph.D. on understanding deep generative models, including their expressivity, reliability, controllability, and trustworthiness.
Education
  • Ph.D. in Computer Science from UC San Diego, advised by Professor Kamalika Chaudhuri; B.S. in Mathematics and Applied Mathematics from Xi'an Jiaotong University, China, enrolled in the Honors Youth Program (少年班) and the National Honors Science Program (珠峰计划).
Background
  • Research Interests: Audio understanding in the context of multi-modalities including language, audio, and vision; Deep generative models for audio, with a focus on audio diffusion models. Profile: A research scientist at NVIDIA.
Miscellany
  • Personal interests: Not explicitly stated; Other: Erdős number is 3.