| Diffwave: A versatile diffusion model for audio synthesis Z Kong, W Ping, J Huang, K Zhao, B Catanzaro ICLR 2021 (oral), 2021 | 1079 | 2021 |
| On fast sampling of diffusion probabilistic models Z Kong, W Ping arXiv preprint arXiv:2106.00132, 2021 | 158 | 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 | 95 | 2022 |
| Fastened crown: Tightened neural network robustness certificates Z Lyu, CY Ko, Z Kong, N Wong, D Lin, L Daniel Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5037-5044, 2020 | 63 | 2020 |
| The expressive power of a class of normalizing flow models Z Kong, K Chaudhuri AISTATS 2020, 3599-3609, 2020 | 53 | 2020 |
| Multi-object tracking using online metric learning with long short-term memory X Wan, J Wang, Z Kong, Q Zhao, S Deng 2018 25th IEEE international conference on image processing (ICIP), 788-792, 2018 | 50 | 2018 |
| Speech denoising in the waveform domain with self-attention Z Kong, W Ping, A Dantrey, B Catanzaro ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 48 | 2022 |
| Understanding instance-based interpretability of variational auto-encoders Z Kong, K Chaudhuri NeurIPS 2021 34, 2400-2412, 2021 | 24 | 2021 |
| Diffwave: A versatile diffusion model for audio synthesis. arXiv 2020 Z Kong, W Ping, J Huang, K Zhao, B Catanzaro arXiv preprint arXiv:2009.09761, 2020 | 15 | 2020 |
| 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 | 11 | 2024 |
| Can Membership Inferencing be Refuted? Z Kong, AR Chowdhury, K Chaudhuri arXiv preprint arXiv:2303.03648, 2023 | 10* | 2023 |
| Data redaction from pre-trained gans Z Kong, K Chaudhuri IEEE SaTML 2023, 638-677, 2023 | 8* | 2023 |
| Universal approximation of residual flows in maximum mean discrepancy Z Kong, K Chaudhuri arXiv preprint arXiv:2103.05793, 2021 | 6 | 2021 |
| Approximate data deletion in generative models Z Kong, S Alfeld ECAI 2023, 2022 | 4 | 2022 |
| Data redaction from conditional generative models Z Kong, K Chaudhuri IEEE SaTML 2024 (Best paper award), 569-591, 2024 | 2 | 2024 |
| Cleanunet 2: A hybrid speech denoising model on waveform and spectrogram Z Kong, W Ping, A Dantrey, B Catanzaro INTERSPEECH 2023, 2023 | 2 | 2023 |
| Audio Dialogues: Dialogues dataset for audio and music understanding A Goel, Z Kong, R Valle, B Catanzaro arXiv preprint arXiv:2404.07616, 2024 | 1 | 2024 |
| Improving Text-To-Audio Models with Synthetic Captions Z Kong, S Lee, D Ghosal, N Majumder, A Mehrish, R Valle, S Poria, ... arXiv preprint arXiv:2406.15487, 2024 | | 2024 |
| Understanding Expressivity and Trustworthy Aspects of Deep Generative Models Z Kong University of California, San Diego, 2023 | | 2023 |
| Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent Z Kong International Journal of Computer and Information Engineering 14 (6), 166-177, 2020 | | 2020 |
Bryan CatanzaroNVIDIA在 acm.org 的电子邮件经过验证
