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2020 – today
- 2024
[j3]Lang Mei
, Jiaxin Mao, Juan Hu, Naiqiang Tan, Hua Chai, Ji-Rong Wen:
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. ACM Trans. Inf. Syst. 42(3): 74:1-74:27 (2024)- [c6]Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao:
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. CIKM 2024: 4268-4272 - [c5]Lang Mei, Jiaxin Mao, Ji-Rong Wen:
Optimizing Probabilistic Box Embeddings with Distance Measures. ICDE 2024: 5088-5100 - [i1]Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao:
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. CoRR abs/2408.08066 (2024) - 2023
- [j2]Chaolin Li, Mianxin Liu, Jing Xia, Lang Mei, Qing Yang, Feng Shi, Han Zhang, Dinggang Shen:
Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. IEEE J. Biomed. Health Informatics 27(11): 5430-5438 (2023) - [c4]Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. ISBI 2023: 1-5 - 2022
- [j1]Shuai Zhang, Hongyan Liu, Lang Mei, Jun He, Xiaoyong Du:
Predicting viewer's watching behavior and live streaming content change for anchor recommendation. Appl. Intell. 52(3): 2480-2495 (2022) - [c3]Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. ISGIE/GRAIL@MICCAI 2022: 69-78 - [c2]Lang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen:
Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. WWW 2022: 473-482
2010 – 2019
- 2019
- [c1]Lang Mei, Jun He, Hongyan Liu, Xiaoyong Du:
Latent Path Connected Space Model for Recommendation. APWeb/WAIM (2) 2019: 163-172
Coauthor Index
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