• I am giving an oral presentation at ICLR 2021. [video]

• One paper got accepted by ICLR-2021 GTRL workshop.

• Three new pre-prints this year.

• I will start an internship at NVIDIA Applied Deep Learning Research (summer 2021).


Publications and Papers

• Zhifeng Kong, Kamalika Chaudhuri. Understanding Instance-based Interpretability of Variational Auto-Encoders. [pdf]

• Zhifeng Kong, Wei Ping. On Fast Sampling of Diffusion Probabilistic Models. [pdf] [code]

• Zhifeng Kong, Kamalika Chaudhuri. Universal Approximation of Residual Flows in Maximum Mean Discrepancy. [pdf]

• Zhangyu Wang, Lantian Xu, Zhifeng Kong, Weilong Wang, Xuyu Peng, Enyang Zheng. A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space. In ICLR 2021 Workshop on Geometrical and Topological Representation Learning. [pdf]

• Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro. DiffWave: A Versatile Diffusion Model for Audio Synthesis. In ICLR 2021 (oral). [pdf] [video]

• Zhifeng Kong, Kamalika Chaudhuri. The Expressive Power of a Class of Normalizing Flow Models. In AISTATS 2020. [pdf] [slides] [blog]

• Zhifeng Kong, Kamalika Chaudhuri. The Expressive Power of Planar Flows. In The Workshop on Theory of Deep Learning: Where next? [pdf] [slides] [poster] [video]

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

• Zhifeng Kong. Convergence Analysis of Training Two-hidden-layer Partially Over-parameterized ReLU Networks vis Gradient Descent. In ICNIP 2020. [pdf]

• Zhifeng Kong. Convergence Analysis of the Dynamics of a Special Kind of Two-Layered Neural Networks with l1 and l2 Regularization. [pdf]

• Xingyu Wan, Qing Zhao, Jinjun Wang, Shunming Deng, Zhifeng Kong. Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory. In IEEE ICIP 2018, 788-792. [pdf]

• Lu Pengfei, Fan Ya, Zhou Linhua, Qian Jun, Liu Linna, Zhao Siyan, Zhifeng Kong. Study on Feature Extraction and Classification of Animal Blood Spectra Based on Support Vector Machine. Spectroscopy and Spectral Analysis. [pdf]

Blogs and Notes

• The expressive power of a class of normalizing flow models. [blog]

• Generalization theory for GANs. [slides]

• Notes on generalization properties of GAN metrics. [pdf]

• Invertible ResNets. [slides]

Contact me!

Email: z4kong at eng dot ucsd dot edu

WeChat: kong-zhi-feng

Twitter: @ZhifengKong

LinkedIn: Zhifeng Kong

Instagram: zhifeng.kong.3