| Diffwave: A versatile diffusion model for audio synthesis Z Kong, W Ping, J Huang, K Zhao, B Catanzaro ICLR 2021 (oral), 2021 | 2108 | 2021 |
| On fast sampling of diffusion probabilistic models Z Kong, W Ping ICML 2021 Workshop on Invertible Neural Networks, Normalizing Flows, and …, 2021 | 244 | 2021 |
| A conditional point diffusion-refinement paradigm for 3d point cloud completion Z Lyu*, Z Kong*, X Xu, L Pan, D Lin ICLR 2022, 2022 | 191 | 2022 |
| Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities Z Kong, A Goel, R Badlani, W Ping, R Valle, B Catanzaro ICML 2024, 2024 | 174 | 2024 |
| Speech denoising in the waveform domain with self-attention Z Kong, W Ping, A Dantrey, B Catanzaro ICASSP 2022, 7867-7871, 2022 | 108 | 2022 |
| Fastened crown: Tightened neural network robustness certificates Z Lyu, CY Ko, Z Kong, N Wong, D Lin, L Daniel AAAI 2020, 2020 | 88 | 2020 |
| Audio Flamingo 2: An audio-language model with long-audio understanding and expert reasoning abilities S Ghosh, Z Kong, S Kumar, S Sakshi, J Kim, W Ping, R Valle, D Manocha, ... ICML 2025, 2025 | 86 | 2025 |
| The expressive power of a class of normalizing flow models Z Kong, K Chaudhuri AISTATS 2020, 2020 | 69 | 2020 |
| Multi-object tracking using online metric learning with long short-term memory X Wan, J Wang, Z Kong, Q Zhao, S Deng ICIP 2018, 2018 | 51 | 2018 |
| Audio flamingo 3: Advancing audio intelligence with fully open large audio language models A Goel, S Ghosh, J Kim, S Kumar, Z Kong, S Lee, CHH Yang, ... NeurIPS 2025, 2025 | 49 | 2025 |
| Understanding instance-based interpretability of variational auto-encoders Z Kong, K Chaudhuri NeurIPS 2021, 2021 | 43 | 2021 |
| Tangoflux: Super fast and faithful text to audio generation with flow matching and clap-ranked preference optimization CY Hung, N Majumder, Z Kong, A Mehrish, AA Bagherzadeh, C Li, ... arXiv preprint arXiv:2412.21037, 2024 | 41 | 2024 |
| Can membership inferencing be refuted? Z Kong, AR Chowdhury, K Chaudhuri arXiv preprint arXiv:2303.03648, 2023 | 21* | 2023 |
| Improving text-to-audio models with synthetic captions Z Kong, S Lee, D Ghosal, N Majumder, A Mehrish, R Valle, S Poria, ... SynData4GenAI 2024, 2024 | 19 | 2024 |
| Data redaction from pre-trained gans Z Kong, K Chaudhuri IEEE SaTML 2023, 2023 | 19 | 2023 |
| Cleanunet 2: A hybrid speech denoising model on waveform and spectrogram Z Kong, W Ping, A Dantrey, B Catanzaro INTERSPEECH 2023, 2023 | 14 | 2023 |
| Fugatto 1: Foundational Generative Audio Transformer Opus 1 R Valle, R Badlani, Z Kong, S Lee, A Goel, S Kim, JF Santos, S Dai, ... ICLR 2025, 2024 | 13 | 2024 |
| Audio dialogues: Dialogues dataset for audio and music understanding A Goel, Z Kong, R Valle, B Catanzaro arXiv preprint arXiv:2404.07616, 2024 | 10 | 2024 |
| Universal approximation of residual flows in maximum mean discrepancy Z Kong, K Chaudhuri ICML 2021 Workshop on Invertible Neural Networks, Normalizing Flows, and …, 2021 | 9 | 2021 |
| ETTA: Elucidating the Design Space of Text-to-Audio Models S Lee*, Z Kong*, A Goel, S Kim, R Valle, B Catanzaro ICML 2025, 2024 | 8 | 2024 |
Bryan CatanzaroNVIDIAVerified email at acm.org
