( en | de | ru )

 

Disambiguation of "Yan, Bencheng"

Author of the publication

copydeleteadd this publication to your clipboard
Watch and Ask: Video Question Generation.

, , and . ICONIP (3), volume 11955 of Lecture Notes in Computer Science, page 209-221. Springer, (2019)

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.

Yan Yan

Shanshan Yan

Americanization in China: an analysis of General Motors and its strategies in China. Uni Mainz, (2009)

Yan Xu

Untersuchungen zur Verleimung von Holz und Holzspanplatten mit UF-Leimharzen und PMDI. TU Braunschweig, (2009)

Yan Shen

Yan Guo

 

Other publications of authors with the same name

Learning Network Representation via Ego-Network-Level Relationship., and . ICONIP (4), volume 1142 of Communications in Computer and Information Science, page 414-422. Springer, (2019)Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer., , , , , , and . CIKM, page 3568-3572. ACM, (2021)GraphAE: Adaptive Embedding across Graphs., and . ICDE, page 1958-1961. IEEE, (2020)Learning Adaptive Node Embeddings Across Graphs., , , , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (6): 6028-6042 (June 2023)Watch and Ask: Video Question Generation., , and . ICONIP (3), volume 11955 of Lecture Notes in Computer Science, page 209-221. Springer, (2019)TinyGNN: Learning Efficient Graph Neural Networks., , , and . KDD, page 1848-1856. ACM, (2020)APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction., , , , , , and . NeurIPS, (2022)Binary Code based Hash Embedding for Web-scale Applications., , , , , , and . CoRR, (2021)NEOKNN: A Network Embedding Method Only Knowing Neighbor Nodes., and . ICONIP (5), volume 1143 of Communications in Computer and Information Science, page 523-531. Springer, (2019)APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction., , , , , and . CoRR, (2022)