Generative Adversarial Networks with Inverse Transformation Unit. - Zhifeng Kong; Shuo Ding (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)

Convergence Analysis of the Dynamics of a Special Kind of Two-Layered Neural Networks with 𝓵1 and 𝓵2 Regularization. - Zhifeng Kong (CoRR, 2017)

Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory. - Xingyu Wan; Jinjun Wang; Zhifeng Kong; Qing Zhao; Shunming Deng (ICIP, 2018)

Fastened CROWN: Tightened Neural Network Robustness Certificates. - Zhaoyang Lyu; Ching-Yun Ko; Zhifeng Kong; Ngai Wong 001; Dahua Lin; Luca Daniel (AAAI, 2020)

The Expressive Power of a Class of Normalizing Flow Models. - Zhifeng Kong; Kamalika Chaudhuri (AISTATS, 2020)

DiffWave: A Versatile Diffusion Model for Audio Synthesis. - Zhifeng Kong; Wei Ping; Jiaji Huang; Kexin Zhao; Bryan Catanzaro (ICLR, 2021)

Understanding Instance-based Interpretability of Variational Auto-Encoders. - Zhifeng Kong; Kamalika Chaudhuri (NeurIPS, 2021)

Universal Approximation of Residual Flows in Maximum Mean Discrepancy. - Zhifeng Kong; Kamalika Chaudhuri (CoRR, 2021)

On Fast Sampling of Diffusion Probabilistic Models. - Zhifeng Kong; Wei Ping (CoRR, 2021)

Forgeability and Membership Inference Attacks. - Zhifeng Kong; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (AISec@CCS, 2022)

Speech Denoising in the Waveform Domain With Self-Attention. - Zhifeng Kong; Wei Ping; Ambrish Dantrey; Bryan Catanzaro (ICASSP, 2022)

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion. - Zhaoyang Lyu; Zhifeng Kong; Xudong Xu; Liang Pan; Dahua Lin (ICLR, 2022)

Forgetting Data from Pre-trained GANs. - Zhifeng Kong; Kamalika Chaudhuri (CoRR, 2022)

Approximate Data Deletion in Generative Models. - Zhifeng Kong; Scott Alfeld (ECAI, 2023)

CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. - Zhifeng Kong; Wei Ping; Ambrish Dantrey; Bryan Catanzaro (INTERSPEECH, 2023)

Data Redaction from Pre-trained GANs. - Zhifeng Kong; Kamalika Chaudhuri (SaTML, 2023)

Can Membership Inferencing be Refuted? - Zhifeng Kong; Amrita Roy Chowdhury 001; Kamalika Chaudhuri (CoRR, 2023)

Understanding Expressivity and Trustworthy Aspects of Deep Generative Models - Zhifeng Kong (2023)

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 (ICML, 2024)

Data Redaction from Conditional Generative Models. - Zhifeng Kong; Kamalika Chaudhuri (SaTML, 2024)

Audio Dialogues: Dialogues dataset for audio and music understanding. - Arushi Goel; Zhifeng Kong; Rafael Valle; Bryan Catanzaro (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)

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)

ETTA: Elucidating the Design Space of Text-to-Audio Models. - Sang-gil Lee; Zhifeng Kong; Arushi Goel; Sungwon Kim 001; Rafael Valle; Bryan Catanzaro (CoRR, 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)

Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data. - Sreyan Ghosh; Sonal Kumar; Zhifeng Kong; Rafael Valle; Bryan Catanzaro; Dinesh Manocha (ICLR, 2025)

Fugatto 1: Foundational Generative Audio Transformer Opus 1. - Rafael Valle; Rohan Badlani; Zhifeng Kong; Sang-gil Lee; Arushi Goel; Sungwon Kim 001; João Felipe Santos; Shuqi Dai; Siddharth Gururani; Aya Aljafari; Alexander H. Liu; Kevin J. Shih; et al. (ICLR, 2025)

On the Reliability of Membership Inference Attacks. - Amrita Roy Chowdhury 001; Zhifeng Kong; Kamalika Chaudhuri (SaTML, 2025)

A2SB: Audio-to-Audio Schrodinger Bridges. - Zhifeng Kong; Kevin J. Shih; Weili Nie; Arash Vahdat; Sang-gil Lee; João Felipe Santos; Ante Jukic; Rafael Valle; Bryan Catanzaro (CoRR, 2025)

Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities. - Sreyan Ghosh; Zhifeng Kong; Sonal Kumar; S. Sakshi; Jaehyeon Kim; Wei Ping; Rafael Valle; Dinesh Manocha; Bryan Catanzaro (CoRR, 2025)

Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge. - Chao-Han Huck Yang; Sreyan Ghosh; Qing Wang 008; Jaeyeon Kim; Hengyi Hong; Sonal Kumar; Guirui Zhong; Zhifeng Kong; Sakshi Singh; Vaibhavi Lokegaonkar; Oriol Nieto; Ramani Duraiswami; et al. (CoRR, 2025)

Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models. - Arushi Goel; Sreyan Ghosh; Jaehyeon Kim; Sonal Kumar; Zhifeng Kong; Sang-gil Lee; Chao-Han Huck Yang; Ramani Duraiswami; Dinesh Manocha; Rafael Valle; Bryan Catanzaro (CoRR, 2025)

Audio Flamingo Sound-CoT Technical Report: Improving Chain-of-Thought Reasoning in Sound Understanding. - Zhifeng Kong; Arushi Goel; João Felipe Santos; Sreyan Ghosh; Rafael Valle; Wei Ping; Bryan Catanzaro (CoRR, 2025)