( en | de | ru )

 

Disambiguation of "Jin, Xiao"

Author of the publication

copydeleteadd this publication to your clipboard
Study of Microstructure Evolution of Austenitic Steel after Long-term Service.

, , , , , , , , , and . AIAM (ACM), page 2573-2576. ACM, (2021)

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.

Fang Xiao

Wenjiang Xiao

Meifang Xiao

Chun Xiao

Jianping Xiao

 

Other publications of authors with the same name

Video frame deletion detection based on time-frequency analysis., , and . J. Vis. Commun. Image Represent., (2022)GMDH-Based Outlier Detection Model in Classification Problems., , , , and . J. Syst. Sci. Complex., 33 (5): 1516-1532 (2020)Cost-sensitive semi-supervised selective ensemble model for customer credit scoring., , , , , and . Knowl. Based Syst., (2020)Hierarchical Multimodal Transformer with Localness and Speaker Aware Attention for Emotion Recognition in Conversations., , , , , and . NLPCC (2), volume 12431 of Lecture Notes in Computer Science, page 41-53. Springer, (2020)Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices., , , , , and . ESEC/SIGSOFT FSE, page 1214-1224. ACM, (2021)Can Large Language Models Understand Real-World Complex Instructions?, , , , , , , , and . AAAI, page 18188-18196. AAAI Press, (2024)Optimal computing budget allocation via sampling based unbiased approximation., , , and . WSC, page 2128-2136. IEEE, (2017)Balanced incremental deep reinforcement learning based on variational autoencoder data augmentation for customer credit scoring., , , , and . Eng. Appl. Artif. Intell., (2023)Local convolutional features and metric learning for SAR image registration., , , and . Clust. Comput., 22 (Supplement): 3103-3114 (2019)Data Leakage in Federated Learning., , and . Federated Learning, Springer, (2022)