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ORCIDZhifeng Kong
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2020 – today
- 2024
[c13]Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro:
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. ICML 2024- [c12]Zhifeng Kong, Kamalika Chaudhuri:
Data Redaction from Conditional Generative Models. SaTML 2024: 569-591 - [i21]Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro:
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. CoRR abs/2402.01831 (2024) - [i20]Arushi Goel, Zhifeng Kong, Rafael Valle, Bryan Catanzaro:
Audio Dialogues: Dialogues dataset for audio and music understanding. CoRR abs/2404.07616 (2024) - [i19]Zhifeng Kong, Sang-gil Lee, Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, Rafael Valle, Soujanya Poria, Bryan Catanzaro:
Improving Text-To-Audio Models with Synthetic Captions. CoRR abs/2406.15487 (2024) - [i18]Zhangyu Wang, Lantian Xu, Zhifeng Kong, Weilong Wang, Xuyu Peng, Enyang Zheng:
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space. CoRR abs/2407.16641 (2024) - [i17]Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro, Dinesh Manocha:
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data. CoRR abs/2410.02056 (2024) - 2023
- [b1]Zhifeng Kong:
Understanding Expressivity and Trustworthy Aspects of Deep Generative Models. University of California, San Diego, USA, 2023 - [c11]Zhifeng Kong, Scott Alfeld
:
Approximate Data Deletion in Generative Models. ECAI 2023: 1288-1323 - [c10]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. INTERSPEECH 2023: 790-794 - [c9]Zhifeng Kong, Kamalika Chaudhuri:
Data Redaction from Pre-trained GANs. SaTML 2023: 638-677 - [i16]Zhifeng Kong, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Can Membership Inferencing be Refuted? CoRR abs/2303.03648 (2023) - [i15]Zhifeng Kong, Kamalika Chaudhuri:
Data Redaction from Conditional Generative Models. CoRR abs/2305.11351 (2023) - [i14]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. CoRR abs/2309.05975 (2023) - 2022
- [c8]Zhifeng Kong, Amrita Roy Chowdhury, Kamalika Chaudhuri:
Forgeability and Membership Inference Attacks. AISec@CCS 2022: 25-31 - [c7]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
Speech Denoising in the Waveform Domain With Self-Attention. ICASSP 2022: 7867-7871 - [c6]Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin:
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion. ICLR 2022 - [i13]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
Speech Denoising in the Waveform Domain with Self-Attention. CoRR abs/2202.07790 (2022) - [i12]Zhifeng Kong, Kamalika Chaudhuri:
Forgetting Data from Pre-trained GANs. CoRR abs/2206.14389 (2022) - [i11]Zhifeng Kong, Scott Alfeld:
Approximate Data Deletion in Generative Models. CoRR abs/2206.14439 (2022) - 2021
- [c5]Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro:
DiffWave: A Versatile Diffusion Model for Audio Synthesis. ICLR 2021 - [c4]Zhifeng Kong, Kamalika Chaudhuri:
Understanding Instance-based Interpretability of Variational Auto-Encoders. NeurIPS 2021: 2400-2412 - [i10]Zhifeng Kong, Kamalika Chaudhuri:
Universal Approximation of Residual Flows in Maximum Mean Discrepancy. CoRR abs/2103.05793 (2021) - [i9]Zhifeng Kong, Kamalika Chaudhuri:
Understanding Instance-based Interpretability of Variational Auto-Encoders. CoRR abs/2105.14203 (2021) - [i8]Zhifeng Kong, Wei Ping:
On Fast Sampling of Diffusion Probabilistic Models. CoRR abs/2106.00132 (2021) - [i7]Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin:
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion. CoRR abs/2112.03530 (2021) - 2020
- [c3]Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI 2020: 5037-5044 - [c2]Zhifeng Kong, Kamalika Chaudhuri:
The Expressive Power of a Class of Normalizing Flow Models. AISTATS 2020: 3599-3609 - [i6]Zhifeng Kong, Kamalika Chaudhuri:
The Expressive Power of a Class of Normalizing Flow Models. CoRR abs/2006.00392 (2020) - [i5]Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro:
DiffWave: A Versatile Diffusion Model for Audio Synthesis. CoRR abs/2009.09761 (2020)
2010 – 2019
- 2019
- [i4]Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel:
Fastened CROWN: Tightened Neural Network Robustness Certificates. CoRR abs/1912.00574 (2019) - 2018
- [c1]Xingyu Wan, Jinjun Wang, Zhifeng Kong, Qing Zhao, Shunming Deng:
Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory. ICIP 2018: 788-792 - 2017
- [i3]Zhifeng Kong, Shuo Ding:
Generative Adversarial Networks with Inverse Transformation Unit. CoRR abs/1709.09354 (2017) - [i2]Qi Lyu, Zhifeng Kong, Chao Shen, Tianwei Yue:
WristAuthen: A Dynamic Time Wrapping Approach for User Authentication by Hand-Interaction through Wrist-Worn Devices. CoRR abs/1710.07941 (2017) - [i1]Zhifeng Kong:
Convergence Analysis of the Dynamics of a Special Kind of Two-Layered Neural Networks with 𝓵1 and 𝓵2 Regularization. CoRR abs/1711.07005 (2017)
Coauthor Index
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last updated on 2024-12-01 01:10 CET by the dblp team
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