A sentiment-aware deep learning approach for personality detection from text Z Ren, Q Shen, X Diao, H Xu Information Processing & Management 58 (3), 102532, 2021 | 141 | 2021 |
MEduKG: a deep-learning-based approach for multi-modal educational knowledge graph construction N Li, Q Shen, R Song, Y Chi, H Xu Information 13 (2), 91, 2022 | 39 | 2022 |
Putting human behavior predictability in context W Zhang, Q Shen, S Teso, B Lepri, A Passerini, I Bison, F Giunchiglia EPJ Data Science 10 (1), 42, 2021 | 35 | 2021 |
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition Q Shen, H Feng, R Song, S Teso, F Giunchiglia, H Xu Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 25 | 2022 |
A sequential graph neural network for short text classification K Zhao, L Huang, R Song, Q Shen, H Xu Algorithms 14 (12), 352, 2021 | 23 | 2021 |
Federated meta-learning with attention for diversity-aware human activity recognition Q Shen, H Feng, R Song, D Song, H Xu Sensors 23 (3), 1083, 2023 | 16 | 2023 |
Improving abusive language detection with online interaction network R Song, F Giunchiglia, Q Shen, N Li, H Xu Information Processing & Management 59 (5), 103009, 2022 | 14 | 2022 |
SUNET: Speaker-utterance interaction graph neural network for emotion recognition in conversations R Song, F Giunchiglia, L Shi, Q Shen, H Xu Engineering Applications of Artificial Intelligence 123, 106315, 2023 | 12 | 2023 |
Multiple graph convolutional networks for aspect-based sentiment analysis Y Ma, R Song, X Gu, Q Shen, H Xu Applied Intelligence 53 (10), 12985-12998, 2023 | 12 | 2023 |
RZCR: zero-shot character recognition via radical-based reasoning X Diao, D Shi, H Tang, Q Shen, Y Li, L Wu, H Xu arXiv preprint arXiv:2207.05842, 2022 | 12 | 2022 |
Marfusion: An attention-based multimodal fusion model for human activity recognition in real-world scenarios Y Zhao, S Guo, Z Chen, Q Shen, Z Meng, H Xu Applied Sciences 12 (11), 5408, 2022 | 9 | 2022 |
ATFA: Adversarial Time–Frequency Attention network for sensor-based multimodal human activity recognition H Feng, Q Shen, R Song, L Shi, H Xu Expert Systems with Applications 236, 121296, 2024 | 8 | 2024 |
To Transfer or Not to Transfer and Why? Meta-Transfer Learning for Explainable and Controllable Cross-Individual Activity Recognition Q Shen, T Stefano, G Fausto, X Hao Elcetronics 12 (10), 2275, 2023 | 5 | 2023 |
Empowering users in online open communities N Osman, R Chenu-Abente, Q Shen, C Sierra, F Giunchiglia SN Computer Science 2 (4), 338, 2021 | 5 | 2021 |
Multi-Modal Subjective Context Modelling and Recognition S Qiang, T Stefano, Z Wanyi, X Hao, G Fausto MRC@ECAI 2787, 32-36, 2020 | 4* | 2020 |
Open social systems N Osman, C Sierra, R Chenu-Abente, Q Shen, F Giunchiglia Multi-Agent Systems and Agreement Technologies: 17th European Conference …, 2020 | 4 | 2020 |
H2T-FAST: Head-to-Tail Feature Augmentation by Style Transfer for Long-Tailed Recognition Z Meng, X Gu, Q Shen, A Tavares, S Pinto, H Xu ECAI 2023, 1712-1719, 2023 | 1 | 2023 |
Personalized multi-task attention for multimodal mental health detection and explanation D Song, Q Shen, H Feng, R Song, F Giunchiglia, H Xu Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | | 2023 |
Crowd JLU: A Crowd-funding Platform for College Students J Yu, S Zhao, Y Li, Q Shen, H Liu, H Xu 3rd International Conference on Management Science, Education Technology …, 2015 | | 2015 |