| SenticNet 6: Ensemble application of symbolic and subsymbolic AI for sentiment analysis E Cambria, Y Li, F Xing, S Poria, K Kwok Proceedings of the 29th ACM International Conference on Information …, 2020 | 496 | 2020 |
| Natural language based financial forecasting: a survey F Xing, E Cambria, R Welsch Artificial Intelligence Review 50 (1), 49-73, 2018 | 430 | 2018 |
| SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis E Cambria, Q Liu, S Decherchi, F Xing, K Kwok Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 284* | 2022 |
| A survey on empathetic dialogue systems Y Ma, KL Nguyen, F Xing, E Cambria Information Fusion 64, 50-70, 2020 | 230 | 2020 |
| Intelligent asset allocation via market sentiment views FZ Xing, E Cambria, RE Welsch IEEE Computational Intelligence Magazine 13 (4), 25-34, 2018 | 134 | 2018 |
| Cognitive-inspired domain adaptation of sentiment lexicons FZ Xing, F Pallucchini, E Cambria Information Processing & Management 56 (3), 554-564, 2019 | 128 | 2019 |
| Public Mood–Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management L Malandri, F Xing, C Orsenigo, C Vercellis, E Cambria Cognitive Computation 10, 1167-1176, 2018 | 93 | 2018 |
| Sentiment-aware volatility forecasting FZ Xing, E Cambria, Y Zhang Knowledge-Based Systems 176, 68-76, 2019 | 77 | 2019 |
| Financial sentiment analysis: an investigation into common mistakes and silver bullets F Xing, L Malandri, Y Zhang, E Cambria Proceedings of the 28th international conference on computational …, 2020 | 74 | 2020 |
| Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents T Young, F Xing, V Pandelea, J Ni, E Cambria Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11622 …, 2022 | 64 | 2022 |
| Discovering Bayesian Market Views for Intelligent Asset Allocation FZ Xing, E Cambria, L Malandri, C Vercellis Machine Learning and Knowledge Discovery in Databases (ECML PKDD) 11053, 120-135, 2018 | 38 | 2018 |
| Predicting evolving chaotic time series with fuzzy neural networks FZ Xing, E Cambria, X Zou 2017 International Joint Conference on Neural Networks (IJCNN), 3176-3183, 2017 | 24 | 2017 |
| Weakly supervised semantic segmentation with superpixel embedding FZ Xing, E Cambria, WB Huang, Y Xu 2016 IEEE international conference on image processing (ICIP), 1269-1273, 2016 | 23 | 2016 |
| Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis K Du, F Xing, E Cambria ACM Transactions on Management Information Systems 14 (3), 1-24, 2023 | 20 | 2023 |
| High-frequency news sentiment and its application to forex market prediction F Xing, DH Hoang, DV Vo Proceedings of the 54th Hawaii International Conference on System Sciences …, 2021 | 16 | 2021 |
| Financial Sentiment Analysis: Techniques and Applications K Du, F Xing, R Mao, E Cambria ACM Computing Surveys 56 (9), 1-42, 2024 | 14 | 2024 |
| Intelligent Asset Management F Xing, E Cambria, R Welsch Springer International Publishing, 2019 | 13 | 2019 |
| Business Taxonomy Construction Using Concept-Level Hierarchical Clustering H Bai, FZ Xing, E Cambria, WB Huang Proceedings of the First Workshop on Financial Technology and Natural …, 2019 | 13 | 2019 |
| Designing heterogeneous llm agents for financial sentiment analysis F Xing ACM Transactions on Management Information Systems, 2024 | 12 | 2024 |
| Fast single image dehazing via multilevel wavelet transform based optimization J He, FZ Xing, R Yang, C Zhang arXiv preprint arXiv:1904.08573, 2019 | 12 | 2019 |
Erik CambriaProfessor of Computing and Data Science, NTU SingaporeVerified email at ntu.edu.sg
