Xin He

According to our database, Xin He authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Automatic self-supervised learning for social recommendations.

Xin He, Wenqi Fan, Ying Wang, Mingchen Sun, Xin Wang

Neurocomputing, 2026

Graph Defense Diffusion Model.

Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling.

Xin He, Yili Wang, Yiwei Dai, Xin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Balancing user preferences by social networks: A condition-guided social recommendation model for mitigating popularity bias.

Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang

Neural Networks, 2025

Graph Collaborative Filtering Model Combining Time Factor and Attention Mechanism.

Xianglin Zuo, Xin He, Tianhao Jia, Ying Wang

J. Artif. Intell. Res., 2025

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space.

Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Adaptive Self-supervised Learning for Social Recommendations.

Xin He, Shanru Lin, Wenqi Fan, Mingchen Sun, Ying Wang, Xin Wang

CoRR, 2024

LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System.

Ruobing Wang, Xin He, Hengrui Gu, Xin Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2022

Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks.

Xianglin Zuo, Tianhao Jia, Xin He, Bo Yang, Ying Wang

Entropy, December, 2022

GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks.

Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, Xin Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022