| 2026 | AAAI | Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels. | Qiyu Li, Xianxian Li, De Li, Jinyan Wang |
| 2026 | CHI | PrivacyAkinator: Articulating Key Privacy Design Decisions by Answering LLM-Generated Multiple-choice Questions. | Qiyu Li, Yuen Sum Wong, Yuen Kei Wong, Longxuan Yu, Haojian Jin |
| 2025 | ICLR | GameArena: Evaluating LLM Reasoning through Live Computer Games. | Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica, Haojian Jin, Hao Zhang |
| 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 | CCS | Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies. | Peiran Wang, Qiyu Li, Longxuan Yu, Ziyao Wang, Ang Li, Haojian Jin |
| 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 |
| 2023 | AAAI | SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. | Ran Jia, Qiyu Li, Zihan Xu, Xiaoyuan Jin, Lun Du, Haoyu Dong, Xiao Lv, Shi Han, Dongmei Zhang |
| 2023 | CIKM | Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. | Liyue Chen, Linian Wang, Jinyu Xu, Shuai Chen, Weiqiang Wang, Wenbiao Zhao, Qiyu Li, Leye 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 | TrustCom | Robustness and Privacy for Green Learning under Noisy Labels. | De Li, Tiange Xia, Qiyu Li, Xianxian Li, Jinyan Wang |
| 2022 | AAAI | Local Differential Privacy for Belief Functions. | Qiyu Li, Chunlai Zhou, Biao Qin, Zhiqiang Xu |