Követés
Kai Zhang
Cím
Hivatkozott rá
Hivatkozott rá
Év
A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
C Zhou, Q Li, C Li, J Yu, Y Liu, G Wang, K Zhang, C Ji, Q Yan, L He, ...
International Journal of Machine Learning and Cybernetics, 1-65, 2024
6192024
Adversarial attack and defense on graph data: A survey
L Sun, Y Dou, C Yang, K Zhang, J Wang, PS Yu, L He, B Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018
377*2018
Review of Sora: background, technology, limitations, and opportunities of large vision models
Y Liu, K Zhang, Y Li, Z Yan, C Gao, R Chen, Z Yuan, Y Huang, H Sun, ...
arXiv preprint arXiv:2402.17177, 2024
2412024
A generalist vision–language foundation model for diverse biomedical tasks
K Zhang, R Zhou, E Adhikarla, Z Yan, Y Liu, J Yu, Z Liu, X Chen, ...
Nature Medicine, 1-13, 2024
200*2024
Multimodal chatgpt for medical applications: an experimental study of gpt-4v
Z Yan, K Zhang, R Zhou, L He, X Li, L Sun
arXiv preprint arXiv:2310.19061, 2023
542023
Communication aware UAV swarm surveillance based on hierarchical architecture
C Xu, K Zhang, Y Jiang, S Niu, T Yang, H Song
Drones 5 (2), 33, 2021
502021
Efficient federated learning on knowledge graphs via privacy-preserving relation embedding aggregation
K Zhang, Y Wang, H Wang, L Huang, C Yang, X Chen, L Sun
Findings of the Association for Computational Linguistics: EMNLP 2022, 613 - 621, 2022
412022
Evaluating large language models for radiology natural language processing
Z Liu, T Zhong, Y Li, Y Zhang, Y Pan, Z Zhao, P Dong, C Cao, Y Liu, ...
arXiv preprint arXiv:2307.13693, 2023
372023
Federated variational learning for anomaly detection in multivariate time series
K Zhang, Y Jiang, L Seversky, C Xu, D Liu, H Song
2021 IEEE International Performance, Computing, and Communications …, 2021
272021
Holistic evaluation of gpt-4v for biomedical imaging
Z Liu, H Jiang, T Zhong, Z Wu, C Ma, Y Li, X Yu, Y Zhang, Y Pan, P Shu, ...
arXiv preprint arXiv:2312.05256, 2023
262023
Spatial–temporal graph data mining for IoT-enabled air mobility prediction
Y Jiang, S Niu, K Zhang, B Chen, C Xu, D Liu, H Song
IEEE Internet of Things Journal 9 (12), 9232-9240, 2021
242021
A comprehensive survey on pretrained foundation models: A history from bert to chatgpt.(2023)
C Zhou, Q Li, C Li, J Yu, Y Liu, G Wang, K Zhang, C Ji, Q Yan, L He, ...
arXiv preprint arXiv:2302.09419, 2023
212023
Autonomous UAV navigation in dynamic environments with double deep Q-networks
Y Yang, K Zhang, D Liu, H Song
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), 1-7, 2020
202020
Fedsecurity: A benchmark for attacks and defenses in federated learning and federated llms
S Han, B Buyukates, Z Hu, H Jin, W Jin, L Sun, X Wang, W Wu, C Xie, ...
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
18*2024
Learning to detect: A data-driven approach for network intrusion detection
Z Tauscher, Y Jiang, K Zhang, J Wang, H Song
2021 IEEE International Performance, Computing, and Communications …, 2021
152021
Spatio-Temporal Data Mining for Aviation Delay Prediction
K Zhang, Y Jiang, D Liu, H Song
2020 IEEE 39th International Performance Computing and Communications …, 2020
152020
Tree-based airspace capacity estimation
K Zhang, Y Liu, J Wang, H Song, D Liu
2020 Integrated Communications Navigation and Surveillance Conference (ICNS …, 2020
152020
Unleashing the power of multi-task learning: A comprehensive survey spanning traditional, deep, and pretrained foundation model eras
J Yu, Y Dai, X Liu, J Huang, Y Shen, K Zhang, R Zhou, E Adhikarla, W Ye, ...
arXiv preprint arXiv:2404.18961, 2024
122024
Biomedical sam 2: Segment anything in biomedical images and videos
Z Yan, W Sun, R Zhou, Z Yuan, K Zhang, Y Li, T Liu, Q Li, X Li, L He, ...
arXiv preprint arXiv:2408.03286, 2024
102024
Backdoor attacks to pre-trained unified foundation models
Z Yuan, Y Liu, K Zhang, P Zhou, L Sun
arXiv preprint arXiv:2302.09360, 2023
102023
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20