| 2026 | NDSS | A Unified Defense Framework Against Membership Inference in Federated Learning via Distillation and Contribution-Aware Aggregation. | Liwei Zhang, Linghui Li, Xiaotian Si, Ziduo Guo, Xingwu Wang, Kaiguo Yuan, Bingyu Li |
| 2025 | SIGIR | Towards Principled Learning for Re-ranking in Recommender Systems. | Qunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong |
| 2025 | TrustCom | DCARL: Decoupled-Curriculum for Adversarial Robustness Learning under Long-Tailed Distributions. | Mingyang Chen, Linghui Li, Zhaoyu Wang, Kaiguo Yuan, Bingyu Li |
| 2025 | TrustCom | Adaptive Multi-Feature Hierarchical Framework for Generative Model Attribution. | Ruoying Wang, Linghui Li, Xiaotian Si, Kaiguo Yuan, Zhaoyu Wang |
| 2024 | CCS | Gopher: High-Precision and Deep-Dive Detection of Cryptographic API Misuse in the Go Ecosystem. | Yuexi Zhang, Bingyu Li, Jingqiang Lin, Linghui Li, Jia-Ju Bai, Shijie Jia, Qianhong Wu |
| 2024 | IGARSS | Combining Spaceborne GNSS-R Data and Ensemble Machine Learning Methods for the Retrieval Vegetation Optical Depth. | Jinwei Bu, Qiulan Wang, Linghui Li, Yongfeng Zhang, Xinyu Liu |
| 2023 | ICDE | Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-similarity (Extended abstract). | Meiyu Liang, Junping Du, Linghui Li, Zhe Xue, Xiaoxiao Wang, Feifei Kou, Xu Wang |
| 2023 | RAID | Efficient Membership Inference Attacks against Federated Learning via Bias Differences. | Liwei Zhang, Linghui Li, Xiaoyong Li, Binsi Cai, Yali Gao, Ruobin Dou, Luying Chen |
| 2023 | TrustCom | TGCN-DA: A Temporal Graph Convolutional Network with Data Augmentation for High Accuracy Insider Threat Detection. | Ximing Li, Linghui Li, Xiaoyong Li, Binsi Cai, Bingyu Li |
| 2022 | UIC | Robust Spatio-Temporal Trajectory Modeling Based on Auto-Gated Recurrent Unit. | Jia Jia, Xiaoyong Li, Ximing Li, Linghui Li, Jie Yuan, Hongmiao Wang, Yali Gao, Pengfei Qiu, Jialu Tang |
| 2019 | IJCAI | Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. | Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang |
| 2018 | ICONIP | SSteGAN: Self-learning Steganography Based on Generative Adversarial Networks. | Zihan Wang, Neng Gao, Xin Wang, Xuexin Qu, Linghui Li |
| 2017 | AAAI | Image Caption with Global-Local Attention. | Linghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian |