Shitao Li

According to our database, Shitao Li authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

New and improved formally self-dual codes with small hulls from polynomial four Toeplitz codes.

Yang Li, Shitao Li, Shixin Zhu

Des. Codes Cryptogr., November, 2024

The Weight Enumerator Polynomials of the Lifted Codes of the Projective Solomon-Stiffler Codes.

Minjia Shi, Shitao Li, Tor Helleseth

IEEE Trans. Inf. Theory, September, 2024

Several constructions of optimal LCD codes over small finite fields.

Shitao Li, Minjia Shi, Huizhou Liu

Cryptogr. Commun., July, 2024

Characterization and Classification of Binary Linear Codes With Various Hull Dimensions From an Improved Mass Formula.

Shitao Li, Minjia Shi

IEEE Trans. Inf. Theory, May, 2024

Symplectic self-orthogonal and linear complementary dual codes from the Plotkin sum construction.

Shixin Zhu, Yang Li, Shitao Li

Finite Fields Their Appl., 2024

A further study on the mass formula for linear codes with prescribed hull dimension.

Shitao Li, Minjia Shi, Yang Li, San Ling

CoRR, 2024

Some bounds on the cardinality of the <i>b</i>-symbol weight spectrum of codes.

Hongwei Zhu, Shitao Li, Minjia Shi, Shu-Tao Xia, Patrick Solé

CoRR, 2024

2023

Optimal quaternary linear codes with one-dimensional Hermitian hull and related EAQECCs.

Shitao Li, Minjia Shi, Huizhou Liu

Quantum Inf. Process., October, 2023

Several classes of Galois self-orthogonal MDS codes and related applications.

Yang Li, Yunfei Su, Shixin Zhu, Shitao Li, Minjia Shi

Finite Fields Their Appl., October, 2023

On Toeplitz codes of index <i>t</i> and isometry codes.

Shitao Li, Minjia Shi, Huizhou Liu

Discret. Math., September, 2023

The Adjacency Codes of the First Yellow Graphs.

Minjia Shi, Shitao Li, Jon-Lark Kim, Patrick Solé

J. Syst. Sci. Complex., August, 2023

Two Conjectures on the Largest Minimum Distances of Binary Self-Orthogonal Codes With Dimension 5.

Minjia Shi, Shitao Li, Jon-Lark Kim

IEEE Trans. Inf. Theory, July, 2023

Two infinite families of two-weight codes over $$\mathbb {Z}_{2^m}$$.

Shitao Li, Minjia Shi

J. Appl. Math. Comput., February, 2023

An improved method for constructing formally self-dual codes with small hulls.

Shitao Li, Minjia Shi, Juan Wang

Des. Codes Cryptogr., 2023

An open problem and a conjecture on binary linear complementary pairs of codes.

Shitao Li, Minjia Shi, San Ling

CoRR, 2023

Characterization and mass formulas of symplectic self-orthogonal and LCD codes and their application.

Shitao Li, Yang Li, Minjia Shi, Shixin Zhu

CoRR, 2023

Characterization of Plotkin-optimal two-weight codes over finite chain rings and related applications.

Shitao Li, Minjia Shi

CoRR, 2023

Binary self-orthogonal codes which meet the Griesmer bound or have optimal minimum distances.

Minjia Shi, Shitao Li, Tor Helleseth, Jon-Lark Kim

CoRR, 2023

2022

Energy of Vague Fuzzy Graph Structure and Its Application in Decision Making.

Shitao Li, Chang Wan, Ali Asghar Talebi, Masomeh Mojahedfar

Symmetry, 2022

Characterization of optimal binary linear codes with one-dimensional hull.

Shitao Li, Minjia Shi, Jon-Lark Kim

CoRR, 2022

Improved lower and upper bounds for LCD codes?

Shitao Li, Minjia Shi

CoRR, 2022

An improved method for constructing linear codes with small hulls.

Shitao Li

CoRR, 2022

LCD and ACD codes over a noncommutative non-unital ring with four elements.

Minjia Shi, Shitao Li, Jon-Lark Kim, Patrick Solé

Cryptogr. Commun., 2022

2021

ℤ₂ℤ₄-Additive Quasi-Cyclic Codes.

Minjia Shi, Shitao Li, Patrick Solé

IEEE Trans. Inf. Theory, 2021

2017

Online Pricing Crowdsensed Fingerprints for Accurate Indoor Localization.

Xiaohua Tian, Wencan Zhang, Jingchao Wang, Wenxin Li, Shitao Li, Xinyu Wu, Yucheng Yang

Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

2016

Modeling Topic-Level Academic Influence in Scientific Literatures.

Jiaming Shen, Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song, Xinbing Wang

Proceedings of the Scholarly Big Data: AI Perspectives, 2016