A New Integer Linear Programming Formulation to the Inverse QSAR/QSPR for Acyclic Chemical Compounds Using Skeleton Trees. - Fan Zhang; Jianshen Zhu; Rachaya Chiewvanichakorn; Aleksandar Shurbevski; Hiroshi Nagamochi; Tatsuya Akutsu (IEA/AIE, 2020)

A Novel Method for Inference of Chemical Compounds of Cycle Index Two with Desired Properties Based on Artificial Neural Networks and Integer Programming. - Jianshen Zhu; Chenxi Wang; Aleksandar Shurbevski; Hiroshi Nagamochi; Tatsuya Akutsu (Algorithms, 2020)

Molecular Design Based on Artificial Neural Networks, Integer Programming and Grid Neighbor Search. - Naveed Ahmed Azam; Jianshen Zhu; Kazuya Haraguchi; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (BIBM, 2021)

An Inverse QSAR Method Based on Decision Tree and Integer Programming. - Kouki Tanaka; Jianshen Zhu; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (ICIC (2), 2021)

An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures. - Jianshen Zhu; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (IEA/AIE (1), 2021)

A novel method for inference of acyclic chemical compounds with bounded branch-height based on artificial neural networks and integer programming. - Naveed Ahmed Azam; Jianshen Zhu; Yanming Sun; Yu Shi; Aleksandar Shurbevski; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (Algorithms Mol. Biol., 2021)

An Inverse QSAR Method Based on Linear Regression and Integer Programming. - Jianshen Zhu; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (CoRR, 2021)

Adjustive Linear Regression and Its Application to the Inverse QSAR. - Jianshen Zhu; Kazuya Haraguchi; Hiroshi Nagamochi; Tatsuya Akutsu (BIOINFORMATICS, 2022)

A Method for Molecular Design Based on Linear Regression and Integer Programming. - Jianshen Zhu; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (ICBBB, 2022)

A new approach to the design of acyclic chemical compounds using skeleton trees and integer linear programming. - Fan Zhang; Jianshen Zhu; Rachaya Chiewvanichakorn; Aleksandar Shurbevski; Hiroshi Nagamochi; Tatsuya Akutsu (Appl. Intell., 2022)

Molecular Design Based on Integer Programming and Quadratic Descriptors in a Two-layered Model. - Jianshen Zhu; Naveed Ahmed Azam; Shengjuan Cao; Ryota Ido; Kazuya Haraguchi; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (CoRR, 2022)

A Novel Method for Inferring Chemical Compounds With Prescribed Topological Substructures Based on Integer Programming. - Jianshen Zhu; Naveed Ahmed Azam; Fan Zhang; Aleksandar Shurbevski; Kazuya Haraguchi; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Experimental Study on Cavitation Noise Characteristics of a Hydraulic Model of Mixed-Flow Pump. - Tengyan Liu; Jianshen Zhu; Zonglong Wang; Haohan Geng; Hualun Zhu (IEEE Access, 2023)

Towards provably secure asymmetric image encryption schemes. - Naveed Ahmed Azam; Jianshen Zhu; Umar Hayat; Aleksandar Shurbevski (Inf. Sci., 2023)

Cycle-Configuration: A Novel Graph-theoretic Descriptor Set for Molecular Inference. - Bowen Song; Jianshen Zhu; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Tatsuya Akutsu (BIBM, 2024)

Data mining method of single-cell omics data to evaluate a pure tissue environmental effect on gene expression level. - Daigo Okada; Jianshen Zhu; Kan Shota; Yuuki Nishimura; Kazuya Haraguchi (CoRR, 2024)

A Method for Inferring Polymers Based on Linear Regression and Integer Programming. - Ryota Ido; Shengjuan Cao; Jianshen Zhu; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Molecular Design Based on Integer Programming and Splitting Data Sets by Hyperplanes. - Jianshen Zhu; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Hiroshi Nagamochi; Tatsuya Akutsu (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Towards Environment-Sensitive Molecular Inference via Mixed Integer Linear Programming. - Jianshen Zhu; Mao Takekida; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Tatsuya Akutsu (CoRR, 2025)

Combining Graph Neural Networks and Mixed Integer Linear Programming for Molecular Inference under the Two-Layered Model. - Jianshen Zhu; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Tatsuya Akutsu (CoRR, 2025)

A unified approach to inferring chemical compounds with the desired aqueous solubility. - Muniba Batool; Naveed Ahmed Azam; Jianshen Zhu; Kazuya Haraguchi; Liang Zhao 013; Tatsuya Akutsu (J. Cheminformatics, 2025)

Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference. - Bowen Song; Jianshen Zhu; Naveed Ahmed Azam; Kazuya Haraguchi; Liang Zhao 013; Tatsuya Akutsu (J. Cheminformatics, 2025)