| A probability and integrated learning based classification algorithm for high-level human emotion recognition problems D Jiang, K Wu, D Chen, G Tu, T Zhou, A Garg, L Gao Measurement 150, 107049, 2020 | 79 | 2020 |
| Context-and sentiment-aware networks for emotion recognition in conversation G Tu, J Wen, C Liu, D Jiang, E Cambria IEEE Transactions on Artificial Intelligence 3 (5), 699-708, 2022 | 62 | 2022 |
| Multimodality sentiment analysis in social Internet of things based on hierarchical attentions and CSAT-TCN with MBM network G Xiao, G Tu, L Zheng, T Zhou, X Li, SH Ahmed, D Jiang IEEE Internet of Things Journal 8 (16), 12748-12757, 2020 | 55 | 2020 |
| Dynamic interactive multiview memory network for emotion recognition in conversation J Wen, D Jiang, G Tu, C Liu, E Cambria Information Fusion 91, 123-133, 2023 | 36 | 2023 |
| Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models G Tu, J Wen, H Liu, S Chen, L Zheng, D Jiang Knowledge-Based Systems 235, 107598, 2022 | 31 | 2022 |
| A hybrid intelligent model for acute hypotensive episode prediction with large-scale data D Jiang, G Tu, D Jin, K Wu, C Liu, L Zheng, T Zhou Information Sciences 546, 787-802, 2021 | 30 | 2021 |
| Sentiment-emotion-and context-guided knowledge selection framework for emotion recognition in conversations G Tu, B Liang, D Jiang, R Xu IEEE Transactions on Affective Computing, 2022 | 18 | 2022 |
| A multitask learning framework for multimodal sentiment analysis D Jiang, R Wei, H Liu, J Wen, G Tu, L Zheng, E Cambria 2021 International conference on data mining workshops (ICDMW), 151-157, 2021 | 14 | 2021 |
| Real‐time hand gestures system based on leap motion J Jia, G Tu, X Deng, C Zhao, W Yi Concurrency and Computation: Practice and Experience 31 (10), e4898, 2019 | 14 | 2019 |
| CSAT-FTCN: a fuzzy-oriented model with contextual self-attention network for multimodal emotion recognition D Jiang, H Liu, R Wei, G Tu Cognitive Computation 15 (3), 1082-1091, 2023 | 12 | 2023 |
| Context or knowledge is not always necessary: A contrastive learning framework for emotion recognition in conversations G Tu, B Liang, R Mao, M Yang, R Xu Findings of the Association for Computational Linguistics: ACL 2023, 14054-14067, 2023 | 8 | 2023 |
| AutoML-Emo: Automatic knowledge selection using congruent effect for emotion identification in conversations D Jiang, R Wei, J Wen, G Tu, E Cambria IEEE Transactions on Affective Computing, 2022 | 8 | 2022 |
| A framework for designing of genetic operators automatically based on gene expression programming and differential evolution D Jiang, Z Tian, Z He, G Tu, R Huang Natural Computing, 1-17, 2021 | 7 | 2021 |
| Window transformer for dialogue document: a joint framework for causal emotion entailment D Jiang, H Liu, G Tu, R Wei International Journal of Machine Learning and Cybernetics 14 (8), 2697-2707, 2023 | 3 | 2023 |
| Do topic and causal consistency affect emotion cognition? a graph interactive network for conversational emotion detection G Tu, B Liang, X Lyu, L Gui, R Xu In The 26th European Conference on Artificial Intelligence (ECAI’23), 2362-2369, 2023 | 3 | 2023 |
| Self-supervised utterance order prediction for emotion recognition in conversations D Jiang, H Liu, G Tu, R Wei, E Cambria Neurocomputing, 127370, 2024 | 2 | 2024 |
| Developing Relationships: A Heterogeneous Graph Network with Learnable Edge Representation for Emotion Identification in Conversations Z Li, G Tu, X Liang, R Xu CAAI International Conference on Artificial Intelligence, 310-322, 2022 | 2 | 2022 |
| Dynamic Gesture Recognition Based on HMM-DTW Model Using Leap Motion G Tu, Q Li, D Jiang Artificial Intelligence Algorithms and Applications: 11th International …, 2020 | 2 | 2020 |
| Adaptive Graph Learning for Multimodal Conversational Emotion Detection G Tu, T Xie, B Liang, H Wang, R Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19089 …, 2024 | 1 | 2024 |
| A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection G Tu, R Jing, B Liang, M Yang, KF Wong, R Xu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 1 | 2023 |
Erik CambriaProfessor of Computer Science & Engineering, NTU SingaporeVerified email at ntu.edu.sg
