Jiahuan Jin

According to our database, Jiahuan Jin authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

The Pathway-Informed Deep Learning Models in Cancer Research: A Survey.

Li Zhou, Dechen Xu, Feng Zhu, Jiahuan Jin, Zhengnan Zhao, Jie Li

IEEE Trans. Comput. Biol. Bioinform., 2026

Preference-agile multi-objective optimization for real-time vehicle dispatching.

Jiahuan Jin, Wenhao Zhao, Rong Qu, Jianfeng Ren, Xinan Chen, Qingfu Zhang, Ruibin Bai

Eur. J. Oper. Res., 2026

2025

MPLBind: Predicting the Effect of Binding Site Point Mutations on Protein-Ligand Binding Affinity Using Protein Large Language Models.

Jiahuan Jin, Jie Li

J. Chem. Inf. Model., 2025

2024

Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach.

Tianxiang Cui, Xiaoying Yang, Fuhua Jia, Jiahuan Jin, Yujian Ye, Ruibin Bai

Expert Syst. Appl., 2024

Container port truck dispatching optimization using Real2Sim based deep reinforcement learning.

Jiahuan Jin, Tianxiang Cui, Ruibin Bai, Rong Qu

Eur. J. Oper. Res., 2024

2023

Predicting Drug-Disease Associations Through Similarity Network Fusion and Multi-View Feature Projection Representation.

Shiming Wang, Jie Li, Dong Wang, Dechen Xu, Jiahuan Jin, Yadong Wang

IEEE J. Biomed. Health Informatics, October, 2023

Analytics and machine learning in vehicle routing research.

Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang

Int. J. Prod. Res., 2023

Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps.

Xingke Song, Jiahuan Jin, Chenglin Yao, Shihe Wang, Jianfeng Ren, Ruibin Bai

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties.

Yuchang Zhang, Ruibin Bai, Rong Qu, Chaofan Tu, Jiahuan Jin

Eur. J. Oper. Res., 2022