Zobrazeno 1 - 10
of 295
pro vyhledávání: '"Haixun Wang"'
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f05a02e1f3da04acbfb6e8422005516e
https://doi.org/10.1145/3543873.3587668
https://doi.org/10.1145/3543873.3587668
Publikováno v:
GeoInformatica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17d2ace966dcbc7227a9f02f349bbfb0
https://doi.org/10.1007/s10707-023-00496-3
https://doi.org/10.1007/s10707-023-00496-3
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa630a239935cbdc86414565f2bcd9f
https://doi.org/10.1109/bigdata55660.2022.10020294
https://doi.org/10.1109/bigdata55660.2022.10020294
Publikováno v:
2022 IEEE Global Humanitarian Technology Conference (GHTC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b206e6b90baaf39165adf6875c8291e
https://doi.org/10.1109/ghtc55712.2022.9910997
https://doi.org/10.1109/ghtc55712.2022.9910997
Publikováno v:
Sustainability; Volume 14; Issue 11; Pages: 6698
Motion control analysis should consider the system’s uncertainty to ensure the intelligent vehicle’s autonomy. The clearance structure of the transmission shaft is modeled as a cantilever beam with double clearance to predict the clearance vibrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::857ac4c3042c873c097c856f02783d8c
Autor:
Haixun Wang
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca6a1074151bc9f443c1397a5792d000
https://doi.org/10.1145/3488560.3510005
https://doi.org/10.1145/3488560.3510005
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4720bb7a2872076834c12fd85bc55adf
https://doi.org/10.1109/bigdata52589.2021.9671938
https://doi.org/10.1109/bigdata52589.2021.9671938
Publikováno v:
ACL/IJCNLP (1)
Recently, there is an effort to extend fine-grained entity typing by using a richer and ultra-fine set of types, and labeling noun phrases including pronouns and nominal nouns instead of just named entity mentions. A key challenge for this ultra-fine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e22c69f84edc1625680bd96fbc425b11
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning
Federated learning learns a neural network model by aggregating the knowledge from a group of distributed clients under the privacy-preserving constraint. In this work, we show that this paradigm might inherit the adversarial vulnerability of the cen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e3779f76337040b05ba98b459681203
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 12:1-36
A huge amount of texts available on the World Wide Web presents an unprecedented opportunity for information extraction (IE). One important assumption in IE is that frequent extractions are more likely to be correct. Sparse IE is hence a challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2517dd59039059506cfea5b3443776c9
https://doi.org/10.1145/3201407
https://doi.org/10.1145/3201407