About Me
I am a Ph.D in the School of Artificial Intelligence Jilin University, supervised by Professor Xin Wang.
My current research focuses on fairness in Recommender Systems and robustness in Graph Neural Networks.
I aim to develop trustworthy recommendation algorithms and graph neural network architectures that remain reliable, fair, and stable when deployed in real-world, large-scale applications.
Selected Publications
View All →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 40th Annual AAAI Conference on Artificial Intelligence (AAAI)
Graph Defense Diffusion Model
Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang
Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
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
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
Xin He, Yili Wang, Wenqi Fan, Xu Shen, Ying Wang, Xin Juan, Rui Miao, Xin Wang
Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI)
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 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
News
One paper accepted by KDD Research Track 2026 🎉
One paper accepted by AAAI 2026 (Oral) 🎉
One paper accepted by IJCAI 2025 🎉
One paper accepted by Neural Networks (Journal) 🎉
One paper accepted by KDD Research Track 2022 🎉