collaborators

17 papers

math.AG2026

On the image of Hitchin morphism for some classical groups on algebraic surfaces

Artan Sheshmani, Jianping Wang, Xiaopeng Xia

In this article, we study the image of the Hitchin morphism for some classical groups over an algebraic surface. The Hitchin morphism is a map from the moduli stack of -Higgs bu…

math.AG2026

Derived Moduli Spaces of Nonlinear PDEs: Singular Propagations

Jacob Kryczka, Artan Sheshmani, Shing-Tung Yau

We construct a sheaf theoretic and derived geometric machinery to study nonlinear partial differential equations and their singular supports. We establish a notion of derived micro…

math.AG2026

Toric Landau-Ginzburg models in threefold divisorial contractions

Yang He, Artan Sheshmani

We investigate quantum periods and toric Landau-Ginzburg models under divisorial contractions of terminal Fano threefolds. Let be a divisorial contraction betwe…

q-fin.PM2026

Yau's Affine-Normal Descent for Large-Scale Unrestricted Higher-Moment Portfolio Optimization

Ya-Juan Wang, Yi-Shuai Niu, Artan Sheshmani +1

Unrestricted mean-variance-skewness-kurtosis portfolio optimization can capture asymmetry and tail risk, but sample-moment formulations become computationally impractical when the…

math.OC2026

Yau's Affine Normal Descent: Algorithmic Framework and Convergence Analysis

Yi-Shuai Niu, Artan Sheshmani, Shing-Tung Yau

We propose Yau's Affine Normal Descent (YAND), a geometric framework for smooth unconstrained optimization in which search directions are defined by the equi-affine normal of level…

math.OC2026

Affine Normal Directions via Log-Determinant Geometry: Scalable Computation under Sparse Polynomial Structure

Yi-Shuai Niu, Artan Sheshmani, Shing-Tung Yau

Affine normal directions provide intrinsic affine-invariant descent directions derived from the geometry of level sets. Their practical use, however, has long been hindered by the…