| 2026 | AAAI | Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels. | Qiyu Li, Xianxian Li, De Li, Jinyan Wang |
| 2026 | ISIT | Placement Delivery Array for Cache-Aided MIMO Systems. | Yifei Huang, Kai Wan, Minquan Cheng, Jinyan Wang, Giuseppe Caire |
| 2026 | PAKDD | Structure-Aware Adaptive Differential Privacy in Supervised Graph Sparsification. | Jiaxuan Si, Jinyan Wang, Linlin Su, Chenhao Guo, Liu Yang, Xiaohong Liu |
| 2025 | CIKM | Robust Heterogeneous GNNs via Semantic Attention and Contrastive Learning. | Chongjie Zhao, Jinyan Wang, Linlin Su, Zeming Gan, Ziyang Zhou |
| 2025 | IJCAI | An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. | Jinyan Wang, Liu Yang, Yuecen Wei, Jiaxuan Si, Chenhao Guo, Qingyun Sun, Xianxian Li, Xingcheng Fu |
| 2025 | ISCAS | Design and Analysis of GaN Based Isolated Double-Step-Down Converter for High-Step-Down Application. | Hongjie Peng, Ziheng Liu, Ju Gao, Jiayin He, Xin Wang, Jinyan Wang |
| 2025 | SMC | MIP-Explainer: An Explainability Method for Graph Neural Networks Based on Mutual Information. | Huijiang Wang, Qiyu Li, Jing Tan, Linlin Su, Jinyan Wang |
| 2024 | HPCC | UM-Explainer: An Explainability Method for Unsupervised Models Based on Factual and Counterfactual Reasoning. | Jing Tan, Qiyu Li, Linlin Su, Huijiang Wang, Jinyan Wang |
| 2024 | ISPA | FedGAC: Graph Federated Learning with Gradients Aggregation Calibration for Non-IID and Long-Tailed Data. | Jie Li, Jinyan Wang, Rongbin Deng, Dongqi Yan, Qiyu Li |
| 2024 | ISPA | RLGNN: Robust Graph Neural Networks with Noisy Label Learning. | Haodong Qian, De Li, Qiyu Li, Jinyan Wang |
| 2024 | SDM | Label Distribution Learning-Enhanced Dual-KNN for Text Classification. | Bo Yuan, Yulin Chen, Zhen Tan, Jinyan Wang, Huan Liu, Yin Zhang |
| 2023 | ICANN | GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection. | Yangyou Ning, Jinyan Wang, De Li, Dongqi Yan, Xianxian Li |
| 2023 | ICANN | LTNI-FGML: Federated Graph Machine Learning on Long-Tailed and Non-IID Data via Logit Calibration. | Dongqi Yan, Jinyan Wang, Qingyi Huang, Juanjuan Huang, Xianxian Li |
| 2023 | ICPADS | PGUD: Personalized Graph Universal Defense. | Zeming Gan, Linlin Su, Xianxian Li, Jinyan Wang |
| 2023 | ICPADS | Relaxed Graph Semi-Supervised Contrastive Learning for Node Classification. | Qiyu Li, Xianxian Li, Haodong Qian, De Li, Jinyan Wang |
| 2023 | ICTAI | Node Classification in Graph Neural Networks under Dual Consistency. | Qiyu Li, Xianxian Li, De Li, Jinyan Wang |
| 2023 | KSEM | Learning Graph Neural Networks on Feature-Missing Graphs. | Jun Hu, Jinyan Wang, Quanmin Wei, Du Kai, Xianxian Li |
| 2023 | SMC | Dynamic Social Recommendation with High-Matching Inhomogeneous Relations. | Shenghan Li, Jinyan Wang, Huachang Zeng, Jun Li, Yuecen Wei, Xianxian Li |
| 2023 | TrustCom | Robustness and Privacy for Green Learning under Noisy Labels. | De Li, Tiange Xia, Qiyu Li, Xianxian Li, Jinyan Wang |
| 2023 | TrustCom | FINDER: A Simple and Effective Defender against Unnoticeable Graph Injection Attacks. | Linlin Su, Jinyan Wang, Zeming Gan, Xianxian Li |
| 2022 | ICDM | Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. | Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li |
| 2022 | TrustCom | A Green Neural Network with Privacy Preservation and Interpretability. | De Li, Hongyan Zheng, Zeming Gan, Xianxian Li, Jinyan Wang |
| 2021 | TrustCom | Adaptive Clipping Bound of Deep Learning with Differential Privacy. | Yuhang Hu, De Li, Zhou Tan, Xianxian Li, Jinyan Wang |
| 2021 | TrustCom | Differential Privacy Preservation in Adaptive K-Nets Clustering. | Xiaohong Liu, Hanbo Cai, De Li, Xianxian Li, Jinyan Wang |
| 2020 | CIS | SLFB-CNN: An interpretable neural network privacy protection framework. | De Li, Yuhang Hu, Jinyan Wang |
| 2020 | TrustCom | Differential Privacy Preservation in Interpretable Feedforward-Designed Convolutional Neural Networks. | De Li, Jinyan Wang, Zhou Tan, Xianxian Li, Yuhang Hu |
| 2018 | KSEM | A Parthenogenetic Algorithm for Deploying the Roadside Units in Vehicle Networks. | Jingli Wu, Yong Wu, Jinyan Wang, Yutong Ye |
| 2017 | ICDCS | GraphA: Adaptive Partitioning for Natural Graphs. | Dongsheng Li, Chengfei Zhang, Jinyan Wang, Zhaoning Zhang, Yiming Zhang |
| 2015 | FAW | Approximate Model Counting via Extension Rule. | Jinyan Wang, Minghao Yin, Jingli Wu |
| 2007 | CIS | A Recognition Approach for Adversarial Planning Based on Complete Goal Graph. | Ji-Li Yin, Ying Liu, Jinyan Wang, Wenxiang Gu, Yinping Zhang |