Jinhuan Liu

According to our database, Jinhuan Liu authored at least 17 papers between 2017 and 2026.

Collaborative distances:

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

2026

Multimodal Recommendation via Modality-Shared Encoding and Multi-Dimensional Loss Optimization.

Qiang Hu, Yu Sun, Haojie Li, Jinhuan Liu, Junwei Du

IEEE Trans. Multim., 2026

An ensemble method using neighborhood granular combination entropy for software defect prediction.

Feng Jiang, Xu Yu, Qiang Hu, Jinhuan Liu, Junwei Du

Inf. Process. Manag., 2026

Dual-space relation-aware entity representation learning for personalized compatibility modeling.

Jinhuan Liu, Xu Cui, Xuemeng Song, Yanwei Yu, Mingzhu Xu, Junwei Du

Expert Syst. Appl., 2026

2025

Hierarchical fine-grained multi-behavior recommendation with behavior-aware contrastive learning.

Kaiyao Zhu, Jinhuan Liu, Xuemeng Song, Jianhua Yin, Shuhan Qi, Junwei Du

Neural Networks, 2025

A neighborhood rough sets-based ensemble method, with application to software fault prediction.

Feng Jiang, Qiang Hu, Zhiyong Yang, Jinhuan Liu, Junwei Du

Expert Syst. Appl., 2025

PFedDyFilter: Personalized Federated Learning via Dynamic Filters.

Zhongxiang Shi, Jinhuan Liu, Chuanyu Huang, Junwei Du, Feng Jiang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

2024

Unifying heterogeneous and homogeneous relations for personalized compatibility modeling.

Jinhuan Liu, Lei Hou, Xu Yu, Xuemeng Song, Zhaochun Ren

Knowl. Based Syst., 2024

Intent Distribution based Bipartite Graph Representation Learning.

Haojie Li, Wei Wei, Guanfeng Liu, Jinhuan Liu, Feng Jiang, Junwei Du

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Behavior Pattern Mining-based Multi-Behavior Recommendation.

Haojie Li, Zhiyong Cheng, Xu Yu, Jinhuan Liu, Guanfeng Liu, Junwei Du

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

Multi-Head Attention and Knowledge Graph Based Dual Target Graph Collaborative Filtering Network.

Xu Yu, Qinglong Peng, Feng Jiang, Junwei Du, Hongtao Liang, Jinhuan Liu

Neural Process. Lett., December, 2023

A Developer Recommendation Method Based on Disentangled Graph Convolutional Network.

Yan Lu, Junwei Du, Lijun Sun, Jinhuan Liu, Lei Guo, Xu Yu, Daobo Sun, Haohao Yu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

A Multi-Head Attention Based Dual Target Graph Collaborative Filtering Network.

Qinglong Peng, Bin Tang, Jinhuan Liu, Shuang Cui, Junwei Du, Yan Lu, Feng Jiang, Xu Yu

Proceedings of the IEEE Smartworld, 2022

2020

An End-to-End Attention-Based Neural Model for Complementary Clothing Matching.

Jinhuan Liu, Xuemeng Song, Liqiang Nie, Tian Gan, Jun Ma

ACM Trans. Multim. Comput. Commun. Appl., 2020

MGCM: Multi-modal generative compatibility modeling for clothing matching.

Jinhuan Liu, Xuemeng Song, Zhumin Chen, Jun Ma

Neurocomputing, 2020

Auxiliary Template-Enhanced Generative Compatibility Modeling.

Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Neural fashion experts: I know how to make the complementary clothing matching.

Jinhuan Liu, Xuemeng Song, Zhumin Chen, Jun Ma

Neurocomputing, 2019

2017

NeuroStylist: Neural Compatibility Modeling for Clothing Matching.

Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma

Proceedings of the 2017 ACM on Multimedia Conference, 2017