activity
20152023
most citedMolScribe: Robust Molecular Structure Recognition with Image-To-Graph Generation

79 citations · 89 across the 10 of their papers we have counts for

collaborators

10 papers

math.OC2023

-sphere covering and approximating nuclear -norm

Jiewen Guan, Simai He, Bo Jiang +1

The spectral -norm and nuclear -norm of matrices and tensors appear in various applications albeit both are NP-hard to compute. The former sets a foundation of -spher…

math.OC2023

Approximating Tensor Norms via Sphere Covering: Bridging the Gap Between Primal and Dual

Simai He, Haodong Hu, Bo Jiang +1

The matrix spectral and nuclear norms appear in enormous applications. The generalizations of these norms to higher-order tensors is becoming increasingly important but unfortunate…

math.OC2022

Complexity and computation for the spectral norm and nuclear norm of order three tensors with one fixed dimension

Haodong Hu, Bo Jiang, Zhening Li

The recent decade has witnessed a surge of research in modelling and computing from two-way data (matrices) to multiway data (tensors). However, there is a drastic phase transition…

cs.AI2022★ 1 cited

LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions

Zhening Li, Gabriel Poesia, Omar Costilla-Reyes +2

Humans tame the complexity of mathematical reasoning by developing hierarchies of abstractions. With proper abstractions, solutions to hard problems can be expressed concisely, thu…

math.NA2022

Extreme ratio between spectral and Frobenius norms of nonnegative tensors

Shengyu Cao, Simai He, Zhening Li +1

One of the fundamental problems in multilinear algebra, the minimum ratio between the spectral and Frobenius norms of tensors, has received considerable attention in recent years.…

cs.CV2022★ 79 cited

MolScribe: Robust Molecular Structure Recognition with Image-To-Graph Generation

Yujie Qian, Jiang Guo, Zhengkai Tu +3

Molecular structure recognition is the task of translating a molecular image into its graph structure. Significant variation in drawing styles and conventions exhibited in chemical…

math.OC2018★ 8 cited

On decompositions and approximations of conjugate partial-symmetric complex tensors

Taoran Fu, Bo Jiang, Zhening Li

Conjugate partial-symmetric (CPS) tensors are the high-order generalization of Hermitian matrices. As the role played by Hermitian matrices in matrix theory and quadratic optimizat…

math.NA2017

On orthogonal tensors and best rank-one approximation ratio

Zhening Li, Yuji Nakatsukasa, Tasuku Soma +1

As is well known, the smallest possible ratio between the spectral norm and the Frobenius norm of an matrix with is and is (up to scalar scaling…

math.OC2016

Approximation Algorithms for Optimization of Real-Valued General Conjugate Complex Forms

Taoran Fu, Bo Jiang, Zhening Li

Complex polynomial optimization has recently gained more and more attention in both theory and practice. In this paper, we study the optimization of a real-valued general conjugate…

math.OC2015★ 1 cited

Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations

Bo Jiang, Zhening Li, Shuzhong Zhang

In this paper we study multivariate polynomial functions in complex variables and the corresponding associated symmetric tensor representations. The focus is on finding conditions…