Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources.

Lulu Wang|Chengqing Li


Anthology ID:DBLP:conf/wsdm/WangL25
Volume:Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
Year:2025
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:577-585
URL:https://doi.org/10.1145/3701551.3703565
DOI:https://doi.org/10.1145/3701551.3703565
DBLP:conf/wsdm/WangL25
BibTeX:
@inproceedings{wang-2025-adjacent, author = {Lulu Wang and Chengqing Li}, editor = {Wolfgang Nejdl and S\"{o}ren Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork}, title = {{Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources}}, booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}}, pages = {577--585}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701551.3703565}, doi = {https://doi.org/10.1145/3701551.3703565} }