Lang Mei

2025

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Dense Retrieval for Aggregated Search.
Lang Mei|Sijie Liu|Ziyuan Zhao|Rolan Yan|Jiaxin Mao|Jirong Wen
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Addressing Personalized Bias for Unbiased Learning to Rank.
Zechun Niu|Lang Mei|Liu Yang|Ziyuan Zhao|Qiang Yan|Jiaxin Mao|Ji-Rong Wen
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi dblp
PanguIR Technical Report for NTCIR-18 AEOLLM Task.
Lang Mei|Chong Chen|Jiaxin Mao
Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies, NTCIR 2025, Tokyo, Japan, June 10-13, 2025
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Distributionally Robust Optimization for Unbiased Learning to Rank.
Zechun Niu|Lang Mei|Chong Chen|Jiaxin Mao
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

2024

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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 Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 3
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Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval.
Hanqi Zhang|Chong Chen|Lang Mei|Qi Liu|Jiaxin Mao
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

2022

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Learning Probabilistic Box Embeddings for Effective and Efficient Ranking.
Lang Mei|Jiaxin Mao|Gang Guo|Ji-Rong Wen
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022