Welcome to my home page.
Welcome to my home page.
My name is Shengxi Li. I got PhD in the department of Electrical and Electronic Engineering of Imperial College London! My PhD topics are related to statistical signal processing and learning, in particular to generative models. Before I came to my PhD stage, I worked on image and video signal processing, mainly at high efficiency video coding and its related computer vision tasks.
My name is Shengxi Li. I got PhD in the department of Electrical and Electronic Engineering of Imperial College London! My PhD topics are related to statistical signal processing and learning, in particular to generative models. Before I came to my PhD stage, I worked on image and video signal processing, mainly at high efficiency video coding and its related computer vision tasks.
News:
News:
>>> Got my PhD at Imperial College London! Special thanks to my supervisor Danilo Mandic. My thesis can be found at "Universal Probabilistic Generative Models for Non-Gaussian Signals".
>>> Got my PhD at Imperial College London! Special thanks to my supervisor Danilo Mandic. My thesis can be found at "Universal Probabilistic Generative Models for Non-Gaussian Signals".
>>> The code of our RCF-GAN is now available here.
>>> The code of our RCF-GAN is now available here.
>>> One paper, "Reciprocal Adversarial Learning via Characteristic Functions", has been accepted as spotlight in NeurIPS2020! The code will release soon (within this month)!
>>> One paper, "Reciprocal Adversarial Learning via Characteristic Functions", has been accepted as spotlight in NeurIPS2020! The code will release soon (within this month)!
>>> The code of our AAAI paper is now available here.
>>> The code of our AAAI paper is now available here.
>>> One paper, "Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold", got accepted as Oral in AAAI2020!
>>> One paper, "Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold", got accepted as Oral in AAAI2020!