Zhifeng Kong (Preferred)
Zhifeng Kong
NVIDIA
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@eng.ucsd.edu
, ****@gmail.com
, ****@nvidia.com
, ****@ucsd.edu
Personal Links
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Education & Career History
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Research Scientist
NVIDIA (nvidia.com)
2023 – Present
PhD student
University of California, San Diego (ucsd.edu)
2018 – 2023
Undergrad student
Xi'an Jiaotong University (xjtu.edu.cn)
2014 – 2018
Advisors, Relations & Conflicts
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Coauthor
Xudong Xu
****@ie.cuhk.edu.hk
2021 – Present
Coauthor
Liang Pan
****@ntu.edu.sg
2021 – Present
Coauthor
Wei Ping
****@nvidia.com
2020 – Present
Coauthor
Kexin Zhao
****@baidu.com
2020 – Present
Coauthor
Jiaji Huang
****@baidu.com
2020 – Present
Coauthor
Bryan Catanzaro
****@nvidia.com
2020 – Present
Coauthor
Zhaoyang Lyu
****@link.cuhk.edu.hk
2019 – Present
Coauthor
Ching-Yun Ko
****@mit.edu
2019 – Present
Coauthor
Ngai Wong
****@eee.hku.hk
2019 – Present
Coauthor
Dahua Lin
****@ie.cuhk.edu.hk
2019 – Present
Coauthor
Luca Daniel
****@mit.edu
2019 – Present
PhD Advisor
Kamalika Chaudhuri
****@cs.ucsd.edu
2018 – Present
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Deep Generative Models
Present
Multimodal ML
Present
Trustworthy ML
Present
Audio Synthesis and Enhancement
Present