| 2025 | ADMA | FeaLearner: A Novel Framework of Self-Adaptive Feature Learning and Selection for Suicide Risk Detection from Users' Social Media Posts. | Xianming Zhang, Yongpan Sheng, Lirong He, Ming Liu, Xiangwei Lai |
| 2025 | COLING | CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning. | Jinze Sun, Yongpan Sheng, Lirong He, Yongbin Qin, Ming Liu, Tao Jia |
| 2023 | AISTATS | Generative Oversampling for Imbalanced Data via Majority-Guided VAE. | Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu |
| 2023 | ICONIP | TKGR-RHETNE: A New Temporal Knowledge Graph Reasoning Model via Jointly Modeling Relevant Historical Event and Temporal Neighborhood Event Context. | Jinze Sun, Yongpan Sheng, Ling Zhan, Lirong He |
| 2020 | ICLR | Mutual Information Gradient Estimation for Representation Learning. | Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu |
| 2019 | ICDM | Deep Minimax Probability Machine. | Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu |
| 2018 | IJCAI | Structured Inference for Recurrent Hidden Semi-markov Model. | Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu |
| 2017 | IJCNN | Link prediction by exploiting network formation games in exchangeable graphs. | Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu |