| Dimensional sentiment analysis using a regional CNN-LSTM model J Wang, LC Yu, KR Lai, X Zhang Proceedings of the 54th annual meeting of the association for computational …, 2016 | 742 | 2016 |
| Refining word embeddings for sentiment analysis LC Yu, J Wang, KR Lai, X Zhang Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 276 | 2017 |
| Building Chinese affective resources in valence-arousal dimensions LC Yu, LH Lee, S Hao, J Wang, Y He, J Hu, KR Lai, X Zhang Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 200 | 2016 |
| Refining word embeddings using intensity scores for sentiment analysis LC Yu, J Wang, KR Lai, X Zhang IEEE/ACM transactions on audio, speech, and language processing 26 (3), 671-681, 2017 | 185 | 2017 |
| Tree-structured regional CNN-LSTM model for dimensional sentiment analysis J Wang, LC Yu, KR Lai, X Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 581-591, 2019 | 161 | 2019 |
| Using a stacked residual LSTM model for sentiment intensity prediction J Wang, B Peng, X Zhang Neurocomputing 322, 93-101, 2018 | 159 | 2018 |
| Deep fusion feature learning network for MI-EEG classification J Yang, S Yao, J Wang Ieee Access 6, 79050-79059, 2018 | 102 | 2018 |
| Predicting valence-arousal ratings of words using a weighted graph method LC Yu, J Wang, KR Lai, X Zhang Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 69 | 2015 |
| Community-based weighted graph model for valence-arousal prediction of affective words J Wang, LC Yu, KR Lai, X Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (11 …, 2016 | 62 | 2016 |
| Joint multimodal entity-relation extraction based on edge-enhanced graph alignment network and word-pair relation tagging L Yuan, Y Cai, J Wang, Q Li Proceedings of the AAAI conference on artificial intelligence 37 (9), 11051 …, 2023 | 50 | 2023 |
| Conciseness is better: Recurrent attention LSTM model for document-level sentiment analysis Y Zhang, J Wang, X Zhang Neurocomputing 462, 101-112, 2021 | 49 | 2021 |
| Ynu-hpcc at semeval-2018 task 1: Bilstm with attention based sentiment analysis for affect in tweets Y Zhang, J Wang, X Zhang Proceedings of The 12th International Workshop on Semantic Evaluation, 273-278, 2018 | 44 | 2018 |
| Contextual sentiment embeddings via bi-directional GRU language model J Wang, Y Zhang, LC Yu, X Zhang Knowledge-Based Systems 235, 107663, 2022 | 43 | 2022 |
| Investigating dynamic routing in tree-structured LSTM for sentiment analysis J Wang, LC Yu, KR Lai, X Zhang Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 41 | 2019 |
| YNU-HPCC at EmoInt-2017: Using a CNN-LSTM model for sentiment intensity prediction Y Zhang, H Yuan, J Wang, X Zhang Proceedings of the 8th workshop on computational approaches to subjectivity …, 2017 | 40 | 2017 |
| A multi-dimensional relation model for dimensional sentiment analysis H Xie, W Lin, S Lin, J Wang, LC Yu Information Sciences 579, 832-844, 2021 | 39 | 2021 |
| Hierarchical BERT with an adaptive fine-tuning strategy for document classification J Kong, J Wang, X Zhang Knowledge-Based Systems 238, 107872, 2022 | 36 | 2022 |
| A novel deep learning scheme for motor imagery EEG decoding based on spatial representation fusion J Yang, Z Ma, J Wang, Y Fu IEEE Access 8, 202100-202110, 2020 | 33 | 2020 |
| Adversarial learning of sentiment word representations for sentiment analysis B Peng, J Wang, X Zhang Information Sciences 541, 426-441, 2020 | 31 | 2020 |
| An attentive neural sequence labeling model for adverse drug reactions mentions extraction P Ding, X Zhou, X Zhang, J Wang, Z Lei Ieee Access 6, 73305-73315, 2018 | 31 | 2018 |
Liang-Chih YuYuan Ze universityAdresse e-mail validée de saturn.yzu.edu.tw