| GPTEval: A Survey on Assessments of ChatGPT and GPT-4 R Mao, G Chen, X Zhang, F Guerin, E Cambria Proceedings of LREC-COLING, 7844–7866, 2024 | 98 | 2024 |
| SenticNet 8: Fusing emotion AI and commonsense AI for interpretable, trustworthy, and explainable affective computing E Cambria, X Zhang, R Mao, M Chen, K Kwok International Conference on Human-Computer Interaction (HCII), 2024 | 48 | 2024 |
| A survey on semantic processing techniques R Mao, K He, X Zhang, G Chen, J Ni, Z Yang, E Cambria Information Fusion 101, 101988, 2024 | 38 | 2024 |
| A survey on syntactic processing techniques X Zhang, R Mao, E Cambria Artificial Intelligence Review 56 (6), 5645-5728, 2023 | 18 | 2023 |
| Neuro-symbolic sentiment analysis with dynamic word sense disambiguation X Zhang, R Mao, K He, E Cambria Findings of the Association for Computational Linguistics: EMNLP 2023, 8772-8783, 2023 | 14 | 2023 |
| SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis X Zhang, R Mao, E Cambria Findings of the Association for Computational Linguistics: ACL 2024, 4851–4863, 2024 | 6 | 2024 |
| Multilingual emotion recognition: Discovering the variations of lexical semantics between languages X Zhang, R Mao, E Cambria 2024 International Joint Conference on Neural Networks (IJCNN), 2024 | 6 | 2024 |
| Granular Syntax Processing with Multi-Task and Curriculum Learning X Zhang, R Mao, E Cambria Cognitive Computation, 1-15, 2024 | 4 | 2024 |
| Enhancing negation scope detection using multitask learning H Patel, X Zhang, Q Liu 2021 International Conference on Data Mining Workshops (ICDMW), 179-185, 2021 | 2 | 2021 |
| Evaluating Vision Language Models in Detecting Learning Engagement J Teotia, X Zhang, R Mao, E Cambria | | |
| Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis K Xue, X Zhang, R Mao, E Cambria | | |
Erik CambriaProfessor of Artificial Intelligence, CCDS, NTU SingaporeVerified email at ntu.edu.sg