activity
20172026
most citedOn the Brunn-Minkowski theory and the Minkowski problem for -coconvex sets

12 citations · 15 across the 8 of their papers we have counts for

collaborators

10 papers

math.MG2026

A Minkowski Theory for the Exterior Capacitary Volumes and A Resolution of the Pólya-Szegö Conjecture

Qiushuang Liu, Jie Xiao, Ning Zhang +2

This paper establishes a unified Minkowski theory for exterior p-capacitary volumes and resolves the classical Pólya-Szegö conjecture on the electrostatic capacity of convex bodies…

math.MG2024

Asymptotic theory of -pseudo-cones

Xudong Wang, Wenxue Xu, Jiazu Zhou +1

In this paper, we study the non-degenerated -pseudo-cones which can be uniquely decomposed into the sum of a -asymptotic set and a -starting point. Combining this with the…

math.MG202212 cited

On the Brunn-Minkowski theory and the Minkowski problem for -coconvex sets

Jin Yang, Deping Ye, Baocheng Zhu

Let be a pointed closed convex cone in with vertex at the origin and having nonempty interior. The set is -coconvex if the volume of is f…

math.MG2021

On the Musielak-Orlicz-Gauss image problem

Qingzhong Huang, Sudan Xing, Deping Ye +1

In the present paper we initiate the study of the Musielak-Orlicz-Brunn-Minkowski theory for convex bodies. In particular, we develop the Musielak-Orlicz-Gauss image problem aiming…

cs.LG20201 cited

Neural Physicist: Learning Physical Dynamics from Image Sequences

Baocheng Zhu, Shijun Wang, James Zhang

We present a novel architecture named Neural Physicist (NeurPhy) to learn physical dynamics directly from image sequences using deep neural networks. For any physical system, given…

cs.LG2020

Riemannian Proximal Policy Optimization

Shijun Wang, Baocheng Zhu, Chen Li +4

In this paper, We propose a general Riemannian proximal optimization algorithm with guaranteed convergence to solve Markov decision process (MDP) problems. To model policy function…