| 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 | 264 | 2021 |
| Multi-view emotion recognition using deep canonical correlation analysis JL Qiu, W Liu, BL Lu Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 155 | 2018 |
| 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 | 59 | 2023 |
| Correlated attention networks for multimodal emotion recognition J Qiu, XY Li, K Hu 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 31 | 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 | 20 | 2022 |
| 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 | 20 | 2022 |
| 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 | 19 | 2019 |
| 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 | 18 | 2023 |
| 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 | 16 | 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 | 15* | 2019 |
| 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 | 13* | 2023 |
| 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 | 13 | 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 | 13 | 2022 |
| 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 | 13 | 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 | 11 | 2018 |
| Snapntell: Enhancing entity-centric visual question answering with retrieval augmented multimodal llm J Qiu, A Madotto, Z Lin, PA Crook, YE Xu, XL Dong, C Faloutsos, L Li, ... arXiv preprint arXiv:2403.04735, 2024 | 10 | 2024 |
| 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 | 9* | 2023 |
| Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift J Qiu, Y Zhu, X Shi, F Wenzel, Z Tang, D Zhao, B Li, M Li Journal of Data-centric Machine Learning Research (DMLR), 2024 | 8 | 2024 |
| Emotion recognition based on gramian encoding visualization JL Qiu, XY Qiu, K Hu Brain Informatics: International Conference, BI 2018, Arlington, TX, USA …, 2018 | 8 | 2018 |
| 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 | 7* | 2019 |
Jiacheng ZhuMITBestätigte E-Mail-Adresse bei csail.mit.edu