| SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis E Cambria, Y Li, FZ Xing, S Poria, K Kwok CIKM, 2020 | 535 | 2020 |
| Word Embedding for Understanding Natural Language: A Survey Y Li, T Yang Guide to Big Data Applications, 83--104, 2018 | 374 | 2018 |
| A Generative Model for Category Text Generation Y Li, Q Pan, S Wang, T Yang, E Cambria Information Sciences 450, 301-315, 2018 | 182 | 2018 |
| Learning Word Representations for Sentiment Analysis Y Li, Q Pan, T Yang, S Wang, J Tang, E Cambria Cognitive Computation 9 (6), 843--851, 2017 | 171 | 2017 |
| Learning multi-grained aspect target sequence for Chinese sentiment analysis H Peng, Y Ma, Y Li, E Cambria Knowledge-Based Systems 148, 167--176, 2018 | 169 | 2018 |
| Disentangled variational auto-encoder for semi-supervised learning Y Li, Q Pan, S Wang, H Peng, T Yang, E Cambria Information Sciences 482, 73--85, 2019 | 109 | 2019 |
| Learning binary codes with neural collaborative filtering for efficient recommendation systems Y Li, S Wang, Q Pan, H Peng, T Yang, E Cambria Knowledge-based systems 172 (15), 64-75, 2019 | 99 | 2019 |
| Multitask Learning for Emotion and Personality Traits Detection Y Li, A Kazemeini, Y Mehta, E Cambria Neurocomputing 493, 340-350, 2022 | 72* | 2022 |
| Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning H Peng, Y Ma, S Poria, Y Li, E Cambria Information Fusion 70, 88-99, 2021 | 58 | 2021 |
| Reasonable price recommendation on Airbnb using Multi-Scale clustering Y Li, Q Pan, T Yang, L Guo 2016 35th Chinese control conference (CCC), 7038-7041, 2016 | 51 | 2016 |
| ECPEC: Emotion-cause pair extraction in conversations W Li, Y Li, V Pandelea, M Ge, L Zhu, E Cambria IEEE Transactions on Affective Computing 14 (3), 1754-1765, 2022 | 41 | 2022 |
| Short Text Classification with A Convolutional Neural Networks Based Method Y Hu, Y Li, T Yang, Q Pan 15th International Conference on Control, Automation, Robotics and Vision …, 2018 | 36 | 2018 |
| Recent developments in recommender systems: A survey Y Li, K Liu, R Satapathy, S Wang, E Cambria IEEE Computational Intelligence Magazine 19 (2), 78-95, 2024 | 35 | 2024 |
| Seq2Seq Deep Learning Models for Microtext Normalization R Satapathy, Y Li, S Cavallari, E Cambria Proceedings of International Joint Conference on Neural Networks (IJCNN), 2019 | 28 | 2019 |
| A survey on cybersecurity attacks and defenses for unmanned aerial systems Z Wang, Y Li, S Wu, Y Zhou, L Yang, Y Xu, T Zhang, Q Pan Journal of Systems Architecture 138, 102870, 2023 | 25 | 2023 |
| Popularity Prediction on Vacation Rental Websites Y Li, S Wang, Y Ma, Q Pan, E Cambria Neurocomputing 412, 372-380, 2020 | 18 | 2020 |
| Hformer: highly efficient vision transformer for low-dose CT denoising SY Zhang, ZX Wang, HB Yang, YL Chen, Y Li, Q Pan, HK Wang, CX Zhao Nuclear Science and Techniques 34 (4), 61, 2023 | 17 | 2023 |
| Conditional self-attention generative adversarial network with differential evolution algorithm for imbalanced data classification NIU Jiawei, LIU Zhunga, PAN Quan, Y Yanbo, LI Yang Chinese Journal of Aeronautics 36 (3), 303-315, 2023 | 14 | 2023 |
| Graph routing between capsules Y Li, W Zhao, E Cambria, S Wang, S Eger Neural Networks 143, 345-354, 2021 | 14 | 2021 |
| A LDA Model Based Topic Detection Method G Lantian, L Yang, M Dejun, Y Tao, L Zhe Journal of Northwestern Polytechnical University 34 (4), 697-701, 2016 | 14* | 2016 |
Erik CambriaProfessor of Artificial Intelligence, CCDS, NTU Singapore在 ntu.edu.sg 的电子邮件经过验证
