Jielin Qiu
Jielin Qiu
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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
Multimodal emotion recognition using deep canonical correlation analysis
W Liu, JL Qiu, WL Zheng, BL Lu
arXiv preprint arXiv:1908.05349, 2019
Multi-view emotion recognition using deep canonical correlation analysis
JL Qiu, W Liu, BL Lu
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
Correlated attention networks for multimodal emotion recognition
J Qiu, XY Li, K Hu
2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018
Are Multimodal Models Robust to Image and Text Perturbations?
J Qiu, Y Zhu, X Shi, F Wenzel, Z Tang, D Zhao, B Li, M Li
arXiv preprint arXiv:2212.08044, 2022
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
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
Mhms: Multimodal Hierarchical Multimedia Summarization
J Qiu, J Zhu, M Xu, F Dernoncourt, T Bui, Z Wang, B Li, D Zhao, H Jin
arXiv preprint arXiv:2204.03734, 2022
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
Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction
J Qiu, J Zhu, M Rosenberg, E Liu, D Zhao
arXiv preprint arXiv:2202.00567, 2022
Data encoding visualization based cognitive emotion recognition with AC-GAN applied for denoising
JL Qiu, WY Zhao
2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive …, 2018
Geoecg: Data augmentation via wasserstein geodesic perturbation for robust electrocardiogram prediction
J Zhu, J Qiu, Z Yang, D Weber, MA Rosenberg, E Liu, B Li, D Zhao
Machine Learning for Healthcare Conference, 172-197, 2022
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
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram
W Han, J Qiu, J Zhu, M Xu, D Weber, B Li, D Zhao
arXiv preprint arXiv:2208.06348, 2022
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
J Qiu, W Han, J Zhu, M Xu, M Rosenberg, E Liu, D Weber, D Zhao
Findings of the Association for Computational Linguistics: EACL 2023, 442–453, 2023
Emotion recognition based on gramian encoding visualization
JL Qiu, XY Qiu, K Hu
Brain Informatics: International Conference, BI 2018, Arlington, TX, USA …, 2018
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
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
Approximation gradient error variance reduced optimization
W Zhao, Y Liu, X Zhao, J Qiu, J Peng
Workshop on Reinforcement Learning in Games (RLG) at The Thirty-Third AAAI …, 2019
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
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