( en | de | ru )

 

Disambiguation of "Li, Ruixuan"

Author of the publication

copydeleteadd this publication to your clipboard
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.

, , , , , , , and . AAAI, page 4435-4443. AAAI Press, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Li Li

Li Li

Li Li

Li Li

Li Li

 

Other publications of authors with the same name

Chunk Content is not Enough: Chunk-Context Aware Resemblance Detection for Deduplication Delta Compression., , , , , , and . DCC, page 492. IEEE, (2022)Quantitative Assessment of Calibration Motion Profiles in Robotic-assisted Ultrasound System., , , and . ISMR, page 1-7. IEEE, (2022)Detecting Privacy Leaks in Android Hybrid Applications Based on Dynamic Taint Tracking., , , , and . EUC, page 193-200. IEEE, (2021)Collaborative Caching in P2P Streaming Systems., and . WISA, volume 11242 of Lecture Notes in Computer Science, page 115-122. Springer, (2018)Deep Neural Factorization Machine for Recommender System., , , , and . KSEM (2), volume 13369 of Lecture Notes in Computer Science, page 273-286. Springer, (2022)A New Vector Space Model Exploiting Semantic Correlations of Social Annotations for Web Page Clustering., , , , , and . WAIM, volume 6897 of Lecture Notes in Computer Science, page 106-117. Springer, (2011)A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster., , , , , , and . PPoPP, page 397-398. ACM, (2019)Contrastive Learning for Session-Based Recommendation., , , , , , and . ICANN (4), volume 13532 of Lecture Notes in Computer Science, page 358-369. Springer, (2022)Schema Mapping for Interoperability in XML-Based Multidatabase Systems., , , , and . DEXA Workshops, page 235-240. IEEE Computer Society, (2003)ST-RNet: A Time-aware Point-of-interest Recommendation Method based on Neural Network., , , , , and . IJCNN, page 1-8. IEEE, (2019)