| Issues and challenges of aspect-based sentiment analysis: A comprehensive survey A Nazir, Y Rao, L Wu, L Sun IEEE Transactions on Affective Computing 13 (2), 845-863, 2020 | 315 | 2020 |
| Research progress in attention mechanism in deep learning J LIU, J LIU, X LUO Chinese Journal of Engineering 43 (11), 1499-1511, 2021 | 111 | 2021 |
| A new feature pyramid network for object detection Y Zhao, R Han, Y Rao 2019 International Conference on Virtual Reality and Intelligent Systems …, 2019 | 75 | 2019 |
| Different absorption from the same sharing: Sifted multi-task learning for fake news detection L Wu, Y Rao, H Jin, A Nazir, L Sun arXiv preprint arXiv:1909.01720, 2019 | 74 | 2019 |
| DTCA: Decision tree-based co-attention networks for explainable claim verification L Wu, Y Rao, Y Zhao, H Liang, A Nazir arXiv preprint arXiv:2004.13455, 2020 | 69 | 2020 |
| Survey on deep learning object detection YQ Zhao, Y Rao, SP Dong, JY Zhang Journal of Image and Graphics 25 (4), 629-654, 2020 | 64 | 2020 |
| MS-HGAT: memory-enhanced sequential hypergraph attention network for information diffusion prediction L Sun, Y Rao, X Zhang, Y Lan, S Yu Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4156-4164, 2022 | 56 | 2022 |
| Adaptive interaction fusion networks for fake news detection L Wu, Y Rao ECAI 2020, 2220-2227, 2020 | 49 | 2020 |
| Discovering differential features: Adversarial learning for information credibility evaluation L Wu, Y Rao, A Nazir, H Jin Information Sciences 516, 453-473, 2020 | 40 | 2020 |
| Evidence inference networks for interpretable claim verification L Wu, Y Rao, L Sun, W He Proceedings of the AAAI conference on artificial intelligence 35 (16), 14058 …, 2021 | 37 | 2021 |
| Category-controlled encoder-decoder for fake news detection L Wu, Y Rao, C Zhang, Y Zhao, A Nazir IEEE Transactions on Knowledge and Data Engineering 35 (2), 1242-1257, 2021 | 34 | 2021 |
| Evidence-aware hierarchical interactive attention networks for explainable claim verification L Wu, Y Rao, X Yang, W Wang, A Nazir Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 33 | 2021 |
| False information detection on social media via a hybrid deep model L Wu, Y Rao, H Yu, Y Wang, A Nazir Social Informatics: 10th International Conference, SocInfo 2018, St …, 2018 | 27 | 2018 |
| Food image recognition using pervasive cloud computing P Duan, W Wang, W Zhang, F Gong, P Zhang, Y Rao 2013 IEEE International Conference on Green Computing and Communications and …, 2013 | 24 | 2013 |
| Fighting false information from propagation process: A survey L Sun, Y Rao, L Wu, X Zhang, Y Lan, A Nazir ACM Computing Surveys 55 (10), 1-38, 2023 | 23 | 2023 |
| Enhanced bioavailability and biosafety of cannabidiol nanomicelles for effective anti-inflammatory therapy Y Rao, R Li, S Liu, L Meng, Q Wu, Q Yuan, H Liang, M Qin Particuology 69, 1-9, 2022 | 20 | 2022 |
| Unified dual-view cognitive model for interpretable claim verification L Wu, Y Rao, Y Lan, L Sun, Z Qi arXiv preprint arXiv:2105.09567, 2021 | 20 | 2021 |
| A review of sentiment semantic analysis technology and progress Y Wang, Y Rao, L Wu 2017 13th International Conference on Computational Intelligence and …, 2017 | 17 | 2017 |
| A review of deep learning target detection methods [J] Y Zhao, Y Rao, S Dong, JY Zhang Chinese Journal of Graphics 25 (04), 629-654, 2020 | 16 | 2020 |
| A multi‐semantics classification method based on deep learning for incredible messages on social media L Wu, Y Rao, H Yu, Y Wang, N Ambreen Chinese Journal of Electronics 28 (4), 754-763, 2019 | 16 | 2019 |
