| SenticNet 6: Ensemble application of symbolic and subsymbolic AI for sentiment analysis E Cambria, Y Li, FZ Xing, S Poria, K Kwok Proceedings of the 29th ACM international conference on information …, 2020 | 353 | 2020 |
| Natural language based financial forecasting: a survey FZ Xing, E Cambria, RE Welsch Artificial Intelligence Review 50 (1), 49-73, 2018 | 275 | 2018 |
| A survey on empathetic dialogue systems Y Ma, KL Nguyen, FZ Xing, E Cambria Information Fusion 64, 50-70, 2020 | 110 | 2020 |
| 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 Language Resources and Evaluation Conference (LREC), 3829 …, 2022 | 91 | 2022 |
| Cognitive-inspired domain adaptation of sentiment lexicons FZ Xing, F Pallucchini, E Cambria Information Processing & Management 56 (3), 554-564, 2019 | 86 | 2019 |
| Intelligent asset allocation via market sentiment views FZ Xing, E Cambria, RE Welsch IEEE Computational Intelligence Magazine 13 (4), 25-34, 2018 | 81 | 2018 |
| Public mood–driven asset allocation: The importance of financial sentiment in portfolio management L Malandri, FZ Xing, C Orsenigo, C Vercellis, E Cambria Cognitive Computation 10, 1167-1176, 2018 | 62 | 2018 |
| Sentiment-aware volatility forecasting FZ Xing, E Cambria, Y Zhang Knowledge-Based Systems 176, 68-76, 2019 | 55 | 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 | 28 | 2020 |
| 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), Joint …, 2018 | 28 | 2018 |
| 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 | 20 | 2022 |
| 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 | 19 | 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 | 16 | 2016 |
| Growing semantic vines for robust asset allocation FZ Xing, E Cambria, RE Welsch Knowledge-Based Systems 165, 297-305, 2019 | 11 | 2019 |
| 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 | 10 | 2021 |
| 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 | 9 | 2019 |
| Social media marketing and financial forecasting F Xing, S Poria, E Cambria, R Welsch Information Processing & Management 57 (5), 102314, 2020 | 6 | 2020 |
| Intelligent Asset Management F Xing, E Cambria, R Welsch Springer International Publishing, 2019 | 6 | 2019 |
| Fast single image dehazing via multilevel wavelet transform based optimization J He, FZ Xing, R Yang, C Zhang arXiv preprint arXiv:1904.08573, 2019 | 6 | 2019 |
| A Logistic Regression Model of Irony Detection in Chinese Internet Texts FZ Xing, Y Xu Research in Computing Science 90, 239-249, 2015 | 5 | 2015 |
Erik CambriaAssociate Professor, NTU SingaporeVerified email at ntu.edu.sg
