Shan Jin

According to our database, Shan Jin authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Explaining Synergistic Effects in Social Recommendations.

Yicong Li, Shan Jin, Qi Liu, Shuo Wang, Jiaying Liu, Shuo Yu, Qiang Zhang, Kuanjiu Zhou, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

Adaptive Multi-Interaction Web Semantic Graph Representation.

Feng Ding, Tingting Wang, Ruolin Li, Ying Jin, Junxiang Zhang, Shan Jin, Yicong Li, Xin Ye

Proceedings of the ACM Web Conference 2026, 2026

2025

Brain PathoGraph Learning.

Ciyuan Peng, Nguyen Linh Dan Le, Shan Jin, Dexuan Ding, Shuo Yu, Feng Xia

CoRR, September, 2025

2024

Long-range Brain Graph Transformer.

Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Incorporating Contextual Cues for Image Recognition: A Multi-Modal Semantic Fusion Model Sensitive to Key Information.

Xu Zhang, Zhikui Chen, Hao Ren, Shan Jin, Yang Tian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Deep Reinforcement Clustering.

Peng Li, Jing Gao, Jianing Zhang, Shan Jin, Zhikui Chen

IEEE Trans. Multim., 2023

Self-Augmentation Graph Contrastive Learning for Multi-view Attribute Graph Clustering.

Shan Jin, Zhikui Chen, Shuo Yu, Muhammad Altaf, Zhenchao Ma

Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 2023

2022

A Self-Supervised Representation Learning Method of Speech Recognition for Smart Grid.

Fei Peng, Yunhou Zhang, Tianyu An, Duoqin Wang, Zhikui Chen, Shan Jin

Proceedings of the IEEE Smartworld, 2022

Multi-Modal Feature Collaborative Fusion for Court Verdicts Recommendation.

Xu Yuan, Yungang Wang, Shan Jin, Ying Yang, Zhikui Chen

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

A Deep Non-negative Matrix Factorization Model for Big Data Representation Learning.

Zhikui Chen, Shan Jin, Runze Liu, Jianing Zhang

Frontiers Neurorobotics, 2021

2020

A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering.

Peng Li, Zhikui Chen, Jing Gao, Jianing Zhang, Shan Jin, Wenhan Zhao, Feng Xia, Lu Wang

Wirel. Commun. Mob. Comput., 2020