Artikel mit Open-Access-Mandaten - Jielin QiuWeitere Informationen
Verfügbar: 10
Comparing recognition performance and robustness of multimodal deep learning models for multimodal emotion recognition
W Liu, JL Qiu, WL Zheng, BL Lu
IEEE Transactions on Cognitive and Developmental Systems 14 (2), 715-729, 2021
Mandate: National Natural Science Foundation of China
Multi-view emotion recognition using deep canonical correlation analysis
JL Qiu, W Liu, BL Lu
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
Mandate: National Natural Science Foundation of China
Align and attend: Multimodal summarization with dual contrastive losses
B He, J Wang, J Qiu, T Bui, A Shrivastava, Z Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
Mandate: US Department of Defense
Investigating sex differences in classification of five emotions from EEG and eye movement signals
LQ Bao, JL Qiu, H Tang, WL Zheng, BL Lu
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
Mandate: National Natural Science Foundation of China
Visual sequence learning in hierarchical prediction networks and primate visual cortex
J Qiu, G Huang, TS Lee
Advances in Neural Information Processing Systems, 2662-2673, 2019
Mandate: US National Science Foundation
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
J Qiu, J Zhu, M Xu, F Dernoncourt, T Bui, Z Wang, B Li, D Zhao, H Jin
Findings of the Association for Computational Linguistics: ACL 2023, 1584-1601, 2023
Mandate: US Department of Defense
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
M Xu, P Huang, Y Niu, V Kumar, J Qiu, C Fang, KH Lee, X Qi, H Lam, B Li, ...
International Conference on Artificial Intelligence and Statistics, 2677-2703, 2023
Mandate: US National Science Foundation
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report
J Qiu, J Zhu, S Liu, W Han, J Zhang, C Duan, MA Rosenberg, E Liu, ...
Machine Learning for Health (ML4H), 480-497, 2023
Mandate: US Department of Defense
Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation
J Qiu, J Zhu, M Xu, P Huang, M Rosenberg, D Weber, E Liu, D Zhao
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023
Mandate: US Department of Defense
Interpolation for robust learning: data augmentation on wasserstein geodesics
J Zhu, J Qiu, A Guha, Z Yang, XL Nguyen, B Li, D Zhao
International Conference on Machine Learning, 43129-43157, 2023
Mandate: US Department of Defense
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