| 2025 | CIKM | Dense Retrieval for Aggregated Search. | Lang Mei, Sijie Liu, Ziyuan Zhao, Rolan Yan, Jiaxin Mao, Jirong Wen |
| 2025 | CIKM | Addressing Personalized Bias for Unbiased Learning to Rank. | Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao, Qiang Yan, Jiaxin Mao, Ji-Rong Wen |
| 2025 | SIGIR | Distributionally Robust Optimization for Unbiased Learning to Rank. | Zechun Niu, Lang Mei, Chong Chen, Jiaxin Mao |
| 2024 | CIKM | Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. | Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao |
| 2024 | ICDE | Optimizing Probabilistic Box Embeddings with Distance Measures. | Lang Mei, Jiaxin Mao, Ji-Rong Wen |
| 2022 | MICCAI | Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. | Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen |
| 2022 | WWW | Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. | Lang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen |
| 2019 | APWEB | Latent Path Connected Space Model for Recommendation. | Lang Mei, Jun He, Hongyan Liu, Xiaoyong Du |