Preprint

• 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
  
• Graph Defense Diffusion Model
  Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang.
  

Conference/Journal Papers (* indicates equal contributions)

• 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(J), 2025.
  
• Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
  Yili Wang*, Yixin Liu*, Xu Shen*, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang.
  International Conference on Learning Representation (ICLR), 2025.
  
• Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion
  Hengrui Gu, Kaixiong Zhou, Yili Wang, Ruobing Wang, Xin Wang.
  Findings of Empirical Methods in Natural Language Processing (EMNLP), 2024.
  
• A two-stage co-adversarial perturbation to mitigate out-of-distribution generalization of large-scale graph
  Yili Wang, Haotian Xue, Xin Wang.
  Expert Systems with Applications, 2024.
  
• Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
  Xu Shen*, Yili Wang*, Kaixiong Zhou, Shirui Pan, Xin Wang.
  Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
  
• Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
  Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang.
  International Conference on Machine Learning (ICML), 2024.
  
• Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
  Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang.
  International Conference on Learning Representation (ICLR), 2024.
  
• AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training
  Yili Wang*, Kaixiong Zhou*, Rui Miao, Ninghao Liu, Xin Wang.
  ACM International Conference on Information and Knowledge Management (CIKM), 2022.
  
• LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction
  Yinchao Fei, Hao Zhang, Yili Wang, Zhen Liu, Yuanning Liu.
  BMC bioinformatics, 2022.
  
• Contrastive graph convolutional networks with adaptive augmentation for text classification
  Yintao Yang, Rui Miao, Yili Wang, Xin Wang.
  Information Processing & Management, 2022.
  
• ATTfold: RNA secondary structure prediction with pseudoknots based on attention mechanism
  Yili Wang, Yuanning Liu, Shuo Wang, Zhen Liu, Yubing Gao, Hao Zhang, Liyan Dong.
  Frontiers in Genetics, 2020.