Latent Path Connected Space Model for Recommendation. - Lang Mei; Jun He 008; Hongyan Liu 002; Xiaoyong Du 001 (APWeb/WAIM (2), 2019)

Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. - Lang Mei; Mianxin Liu; Lingbin Bian; Yuyao Zhang; Feng Shi 001; Han Zhang 002; Dinggang Shen (ISGIE/GRAIL@MICCAI, 2022)

Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. - Lang Mei; Jiaxin Mao; Gang Guo; Ji-Rong Wen (WWW, 2022)

Predicting viewer's watching behavior and live streaming content change for anchor recommendation. - Shuai Zhang; Hongyan Liu 002; Lang Mei; Jun He 008; Xiaoyong Du 001 (Appl. Intell., 2022)

Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. - Xiaozhao Liu; Mianxin Liu; Lang Mei; Yuyao Zhang; Feng Shi 001; Han Zhang 002; Dinggang Shen (ISBI, 2023)

Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. - Chaolin Li; Mianxin Liu; Jing Xia; Lang Mei; Qing Yang; Feng Shi 001; Han Zhang 002; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. - Hanqi Zhang; Chong Chen 001; Lang Mei; Qi Liu 071; Jiaxin Mao (CIKM, 2024)

Optimizing Probabilistic Box Embeddings with Distance Measures. - Lang Mei; Jiaxin Mao; Ji-Rong Wen (ICDE, 2024)

Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. - Lang Mei; Jiaxin Mao; Juan Hu; Naiqiang Tan; Hua Chai; Ji-Rong Wen (ACM Trans. Inf. Syst., 2024)

PanguIR Technical Report for NTCIR-18 AEOLLM Task. - Lang Mei; Chong Chen 001; Jiaxin Mao (NTCIR, 2025)

Distributionally Robust Optimization for Unbiased Learning to Rank. - Zechun Niu; Lang Mei; Chong Chen 001; Jiaxin Mao (SIGIR, 2025)

A Survey of Multimodal Retrieval-Augmented Generation. - Lang Mei; Siyu Mo; Zhihan Yang; Chong Chen 001 (CoRR, 2025)