Zhifeng Kong

According to our database, Zhifeng Kong authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization.

Chia-Yu Hung, Navonil Majumder, Zhifeng Kong, Ambuj Mehrish, Rafael Valle, Bryan Catanzaro, Soujanya Poria

CoRR, 2024

ETTA: Elucidating the Design Space of Text-to-Audio Models.

Sang-gil Lee, Zhifeng Kong, Arushi Goel, Sungwon Kim, Rafael Valle, Bryan Catanzaro

CoRR, 2024

Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data.

Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro, Dinesh Manocha

CoRR, 2024

A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space.

Zhangyu Wang, Lantian Xu, Zhifeng Kong, Weilong Wang, Xuyu Peng, Enyang Zheng

CoRR, 2024

Improving Text-To-Audio Models with Synthetic Captions.

Zhifeng Kong, Sang-gil Lee, Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, Rafael Valle, Soujanya Poria, Bryan Catanzaro

CoRR, 2024

Audio Dialogues: Dialogues dataset for audio and music understanding.

Arushi Goel, Zhifeng Kong, Rafael Valle, Bryan Catanzaro

CoRR, 2024

Data Redaction from Conditional Generative Models.

Zhifeng Kong, Kamalika Chaudhuri

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities.

Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Understanding Expressivity and Trustworthy Aspects of Deep Generative Models

Zhifeng Kong

PhD thesis, 2023

Can Membership Inferencing be Refuted?

Zhifeng Kong, Amrita Roy Chowdhury, Kamalika Chaudhuri

CoRR, 2023

Data Redaction from Pre-trained GANs.

Zhifeng Kong, Kamalika Chaudhuri

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram.

Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Approximate Data Deletion in Generative Models.

Zhifeng Kong, Scott Alfeld

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Forgetting Data from Pre-trained GANs.

Zhifeng Kong, Kamalika Chaudhuri

CoRR, 2022

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion.

Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Speech Denoising in the Waveform Domain With Self-Attention.

Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro

Proceedings of the IEEE International Conference on Acoustics, 2022

Forgeability and Membership Inference Attacks.

Zhifeng Kong, Amrita Roy Chowdhury, Kamalika Chaudhuri

Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, 2022

2021

On Fast Sampling of Diffusion Probabilistic Models.

Zhifeng Kong, Wei Ping

CoRR, 2021

Universal Approximation of Residual Flows in Maximum Mean Discrepancy.

Zhifeng Kong, Kamalika Chaudhuri

CoRR, 2021

Understanding Instance-based Interpretability of Variational Auto-Encoders.

Zhifeng Kong, Kamalika Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

The Expressive Power of a Class of Normalizing Flow Models.

Zhifeng Kong, Kamalika Chaudhuri

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Fastened CROWN: Tightened Neural Network Robustness Certificates.

Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory.

Xingyu Wan, Jinjun Wang, Zhifeng Kong, Qing Zhao, Shunming Deng

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Convergence Analysis of the Dynamics of a Special Kind of Two-Layered Neural Networks with 𝓵₁ and 𝓵₂ Regularization.

Zhifeng Kong

CoRR, 2017

WristAuthen: A Dynamic Time Wrapping Approach for User Authentication by Hand-Interaction through Wrist-Worn Devices.

Qi Lyu, Zhifeng Kong, Chao Shen, Tianwei Yue

CoRR, 2017

Generative Adversarial Networks with Inverse Transformation Unit.

Zhifeng Kong, Shuo Ding

CoRR, 2017