Jianshen Zhu

According to our database, Jianshen Zhu authored at least 16 papers between 2020 and 2023.

Collaborative distances:

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

2023

Towards provably secure asymmetric image encryption schemes.

Naveed Ahmed Azam, Jianshen Zhu, Umar Hayat, Aleksandar Shurbevski

Inf. Sci., 2023

Molecular Design Based on Integer Programming and Splitting Data Sets by Hyperplanes.

Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

CoRR, 2023

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

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, Hiroshi Nagamochi, Tatsuya Akutsu

IEEE ACM Trans. Comput. Biol. Bioinform., 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, Hiroshi Nagamochi, Tatsuya Akutsu

CoRR, 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

A Method for Molecular Design Based on Linear Regression and Integer Programming.

Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

Proceedings of the ICBBB 2022: 12th International Conference on Bioscience, Biochemistry and Bioinformatics, Tokyo, Japan, January 7, 2022

Adjustive Linear Regression and Its Application to the Inverse QSAR.

Jianshen Zhu, Kazuya Haraguchi, Hiroshi Nagamochi, Tatsuya Akutsu

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

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, Hiroshi Nagamochi, Tatsuya Akutsu

CoRR, 2021

An Inverse QSAR Method Based on Linear Regression and Integer Programming.

Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

CoRR, 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, Hiroshi Nagamochi, Tatsuya Akutsu

Algorithms Mol. Biol., 2021

An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures.

Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

An Inverse QSAR Method Based on Decision Tree and Integer Programming.

Kouki Tanaka, Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

Proceedings of the Intelligent Computing Theories and Application, 2021

Molecular Design Based on Artificial Neural Networks, Integer Programming and Grid Neighbor Search.

Naveed Ahmed Azam, Jianshen Zhu, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

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

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

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020