Kong, Zhifeng

15 publications

ICML 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

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

ICML 2025 ETTA: Elucidating the Design Space of Text-to-Audio Models Sang-Gil Lee, Zhifeng Kong, Arushi Goel, Sungwon Kim, Rafael Valle, Bryan Catanzaro

ICLR 2025 Fugatto 1: Foundational Generative Audio Transformer Opus 1 Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, Joao Felipe Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander H. Liu, Kevin J. Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro

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

ICML 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

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

NeurIPSW 2022 Data Redaction from Pre-Trained GANs Zhifeng Kong, Kamalika Chaudhuri

ICLRW 2021 A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space Zhangyu Wang, Lantian Xu, Zhifeng Kong, Weilong Wang, Xuyu Peng, Enyang Zheng

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

ICMLW 2021 On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong, Wei Ping

NeurIPS 2021 Understanding Instance-Based Interpretability of Variational Auto-Encoders Zhifeng Kong, Kamalika Chaudhuri

ICMLW 2021 Universal Approximation of Residual Flows in Maximum Mean Discrepancy Zhifeng Kong, Kamalika Chaudhuri

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

AISTATS 2020 The Expressive Power of a Class of Normalizing Flow Models Zhifeng Kong, Kamalika Chaudhuri