| 2025 | WWW | PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning. | Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song |
| 2023 | CIKM | Detecting Social Bot on the Fly using Contrastive Learning. | Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Jie Tang |
| 2023 | CVPR | Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning. | Wenju Sun, Qingyong Li, Jing Zhang, Wen Wang, Yangli-ao Geng |
| 2021 | CVPR | ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers. | Wenju Sun, Jing Zhang, Danyu Wang, Yangli-ao Geng, Qingyong Li |
| 2020 | AAAI | AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. | Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei |
| 2020 | CIKM | More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning. | Jing Zhang, Yangli-ao Geng, Qingyong Li, Chuan Shi |
| 2020 | ICDM | A Heterogeneous Spatiotemporal Network for Lightning Prediction. | Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang |
| 2019 | KDD | LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction. | Yangli-ao Geng, Qingyong Li, Tianyang Lin, Lei Jiang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, Yijun Zhang |
| 2017 | ICPADS | REMOLD: An Efficient Model-Based Clustering Algorithm for Large Datasets with Spark. | Mingfei Liang, Qingyong Li, Yangli-ao Geng, Jianzhu Wang, Zhi Wei |