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Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.

S. Xiao, Z. Liu, W. Han, J. Zhang, Y. Shao, D. Lian, C. Li, H. Sun, D. Deng, L. Zhang, Q. Zhang, and X. Xie. WWW, page 286-296. ACM, (2022)

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Jianjin Dong

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.M. Kopp, D. Kreil, M. Neun, D. Jonietz, H. Martin, P. Herruzo, A. Gruca, A. Soleymani, F. Wu, Y. Liu and 9 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 325-343. PMLR, (2020)Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.S. Xiao, Z. Liu, W. Han, J. Zhang, D. Lian, Y. Gong, Q. Chen, F. Yang, H. Sun, Y. Shao and 1 other author(s). SIGIR, page 1513-1523. ACM, (2022)Learning Fast Matching Models from Weak Annotations.X. Li, Z. Luo, H. Sun, J. Zhang, W. Han, X. Chu, L. Zhang, and Q. Zhang. WWW, page 2985-2991. ACM, (2019)PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning.Y. Wang, H. Wu, J. Zhang, Z. Gao, J. Wang, P. Yu, and M. Long. IEEE Trans. Pattern Anal. Mach. Intell., 45 (2): 2208-2225 (2023)Are GPT Embeddings Useful for Ads and Recommendation?W. Peng, D. Xu, T. Xu, J. Zhang, and E. Chen. KSEM (4), volume 14120 of Lecture Notes in Computer Science, page 151-162. Springer, (2023)Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.S. Xiao, Z. Liu, W. Han, J. Zhang, D. Lian, Y. Gong, Q. Chen, F. Yang, H. Sun, Y. Shao and 3 other author(s). CoRR, (2022)Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.S. Xiao, Z. Liu, W. Han, J. Zhang, Y. Shao, D. Lian, C. Li, H. Sun, D. Deng, L. Zhang and 2 other author(s). WWW, page 286-296. ACM, (2022)Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics.Y. Wang, J. Zhang, H. Zhu, M. Long, J. Wang, and P. Yu. CoRR, (2018)PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning.Y. Wang, H. Wu, J. Zhang, Z. Gao, J. Wang, P. Yu, and M. Long. CoRR, (2021)Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics.Y. Wang, J. Zhang, H. Zhu, M. Long, J. Wang, and P. Yu. CVPR, page 9154-9162. Computer Vision Foundation / IEEE, (2019)

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Disambiguation of "Zhang, Jianjin"

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Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.

Please choose a person to relate this publication to

Jianjin Dong

Zhang Zhang

Meng Zhang

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Jianjin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.

Please choose a person to relate this publication to

Jianjin Dong

Zhang Zhang

Meng Zhang

Xianghong Zhang

Miao Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.