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.