Frank Z. Xing

According to our database, Frank Z. Xing authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Primary and Secondary Factor Consistency as Domain Knowledge to Guide Happiness Computing in Online Assessment.

Xiaohua Wu, Lin Li, Xiaohui Tao, Frank Xing, Jingling Yuan

CoRR, 2024

Designing Heterogeneous LLM Agents for Financial Sentiment Analysis.

Frank Xing

CoRR, 2024

2023

Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis.

Kelvin Du, Frank Xing, Erik Cambria

ACM Trans. Manag. Inf. Syst., September, 2023

Guest Editorial Neurosymbolic AI for Sentiment Analysis.

Frank Xing, Björn W. Schuller, Iti Chaturvedi, Erik Cambria, Amir Hussain

IEEE Trans. Affect. Comput., 2023

FinSenticNet: A Concept-Level Lexicon for Financial Sentiment Analysis.

Kelvin Du, Frank Xing, Rui Mao, Erik Cambria

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

Guest Editorial: Sentiment Analysis as a Multidisciplinary Research Area.

Erik Cambria, Frank Xing, Mike Thelwall, Roy E. Welsch

IEEE Trans. Artif. Intell., 2022

Soft computing for recommender systems and sentiment analysis.

Lorenzo Malandri, Carlos Porcel, Frank Xing, Jesús Serrano-Guerrero, Erik Cambria

Appl. Soft Comput., 2022

SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis.

Erik Cambria, Qian Liu, Sergio Decherchi, Frank Xing, Kenneth Kwok

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Does Social Media Sentiment Predict Bitcoin Trading Volume?

Jayit Saha, Smit Patel, Frank Xing, Erik Cambria

Proceedings of the 43rd International Conference on Information Systems, 2022

Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents.

Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

High-Frequency News Sentiment and Its Application to Forex Market Prediction.

Frank Z. Xing, Duc-Hong Hoang, Dinh-Vinh Vo

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

Social Media Marketing and Financial Forecasting.

Frank Z. Xing, Soujanya Poria, Erik Cambria, Roy E. Welsch

Inf. Process. Manag., 2020

A survey on empathetic dialogue systems.

Yukun Ma, Khanh Linh Nguyen, Frank Z. Xing, Erik Cambria

Inf. Fusion, 2020

Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets.

Frank Z. Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria

Proceedings of the 28th International Conference on Computational Linguistics, 2020

SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis.

Erik Cambria, Yang Li, Frank Z. Xing, Soujanya Poria, Kenneth Kwok

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Sentiment-aware volatility forecasting.

Frank Z. Xing, Erik Cambria, Yue Zhang

Knowl. Based Syst., 2019

Growing semantic vines for robust asset allocation.

Frank Z. Xing, Erik Cambria, Roy E. Welsch

Knowl. Based Syst., 2019

Cognitive-inspired domain adaptation of sentiment lexicons.

Frank Z. Xing, Filippo Pallucchini, Erik Cambria

Inf. Process. Manag., 2019

Business Taxonomy Construction Using Concept-Level Hierarchical Clustering.

Haodong Bai, Frank Z. Xing, Erik Cambria, Win-Bin Huang

CoRR, 2019

Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization.

Jiaxi He, Frank Z. Xing, Ran Yang, Cishen Zhang

CoRR, 2019

2018

Textual knowledge integration for financial asset management

Frank Z. Xing

PhD thesis, 2018

Public Mood-Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management.

Lorenzo Malandri, Frank Z. Xing, Carlotta Orsenigo, Carlo Vercellis, Erik Cambria

Cogn. Comput., 2018

Intelligent Asset Allocation via Market Sentiment Views.

Frank Z. Xing, Erik Cambria, Roy E. Welsch

IEEE Comput. Intell. Mag., 2018

Natural language based financial forecasting: a survey.

Frank Z. Xing, Erik Cambria, Roy E. Welsch

Artif. Intell. Rev., 2018

Discovering Bayesian Market Views for Intelligent Asset Allocation.

Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

A Historical Review of Forty Years of Research on CMAC.

Frank Z. Xing

CoRR, 2017

Predicting evolving chaotic time series with fuzzy neural networks.

Frank Z. Xing, Erik Cambria, Xiaomei Zou

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Classifying World Englishes from a Lexical Perspective: A Corpus-Based Approach.

Frank Z. Xing, Danyuan Ho, Diyana Hamzah, Erik Cambria

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016

Weakly supervised semantic segmentation with superpixel embedding.

Frank Z. Xing, Erik Cambria, Win-Bin Huang, Yang Xu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A Logistic Regression Model of Irony Detection in Chinese Internet Texts.

Frank Z. Xing, Yang Xu

Res. Comput. Sci., 2015