Zhaoxia Wang

57 papers A* 2B 3C 2Journal 22Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
HyDPN: A Hybrid Deep Reinforcement Learning, Programming, and Neighborhood Operations framework for integrated scheduling on parallel batch processing machines.
Comput. Ind. Eng.
Yuqi Wang, He Luo, Guoqiang Wang, Zhaoxia Wang
2025 J jnl
A review of Chinese sentiment analysis: subjects, methods, and trends.
Artif. Intell. Rev.
Zhaoxia Wang, Donghao Huang, Jingfeng Cui, Xinyue Zhang, Seng-Beng Ho, Erik Cambria
2025 — conf
Bias Detection and Mitigation in Large Language Models.
ICDM (Workshops)
Nicole Teo, Zhaoxia Wang
2025 A* conf
Counterfactual Thinking Driven Emotion Regulation for Image Sentiment Recognition.
IJCAI
Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Guitao Cao
2025 J jnl
CropCapsNet: Enhanced capsule network for crop disease classification.
Comput. Electr. Eng.
Juan Qin, Linfan Deng, Cong Li, Junjie He, Haibo Pen, Zhaoxia Wang
2025 — conf
Deploying Reasoning LLMS for Sentiment Analysis: Architecture Trade-Offs on Consumer Hardware.
ICDM (Workshops)
Donghao Huang, Nicole Teo, Aparna Chekuru, Erin Deutschman, Zhaoxia Wang
2025 — conf
Enhancing Skills Extraction for Domain-Specific Taxonomy Mapping.
PAKDD (Workshops)
Yee Sen Tan, Daryl Low, Sarah Toh, Zhaoxia Wang
2025 — conf
Evaluating the Impact of LLM-Manipulated Content on Fake News Detection.
PAKDD (Workshops)
Donghao Huang, Darius Ng, Zhaoxia Wang, Haibo Pen, Erik Cambria
2025 J jnl
Explainable Multimodal Sentiment Analysis of Social Media Visual Content for Child Safety.
IEEE Intell. Syst.
Yee Sen Tan, Zhaoxia Wang, Erik Cambria
2025 J jnl
Explainable Sentiment Analysis With DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning.
IEEE Intell. Syst.
Donghao Huang, Zhaoxia Wang
2025 — conf
Integrating LLM Sentiment Analysis into Machine Learning for Soccer Betting.
ICDM (Workshops)
Samuel Samuel, Donghao Huang, James Tan Yong Hong, Zhaoxia Wang
2025 — conf
Large Language Models for Logical Fallacy Detection.
PAKDD (Workshops)
Nicole Teo, Donghao Huang, Erik Cambria, Zhaoxia Wang
2024 — conf
Automating Maritime Risk Data Collection and Identification Leveraging Large Language Models.
ICDM (Workshops)
Donghao Huang, Xiuju Fu, Xiaofeng Yin, Haibo Pen, Zhaoxia Wang
2024 A* conf
CausVSR: Causality Inspired Visual Sentiment Recognition.
IJCAI
Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Jing Xiang, Chunwei Wu, Guitao Cao
2024 — conf
Comparative Analysis of Hate Speech Detection: Traditional vs. Deep Learning Approaches.
CAI
Haibo Pen, Nicole Teo, Zhaoxia Wang
2024 — conf
Converting Vocal Performances into Sheet Music Leveraging Large Language Models.
ICDM (Workshops)
Jinjing Jiang, Nicole Anne Teo Huiying, Haibo Pen, Seng-Beng Ho, Zhaoxia Wang
2024 — conf
DLVS4Audio2Sheet: Deep Learning-Based Vocal Separation for Audio into Music Sheet Conversion.
PAKDD (Workshops)
Nicole Anne Teo Huiying, Zhaoxia Wang, Ezekiel En Zhe Ghe, Yee Sen Tan, Kevan Oktavio, Alexander Vincent Lewi, Allyne Zhang, Seng-Beng Ho
2024 — conf
Evaluation of Orca 2 Against Other LLMs for Retrieval Augmented Generation.
PAKDD (Workshops)
Donghao Huang, Zhaoxia Wang
2024 — conf
From Tweets to Token Sales: Assessing ICO Success Through Social Media Sentiments.
PAKDD (Workshops)
Donghao Huang, Samuel Samuel, Quoc Toan Hyunh, Zhaoxia Wang
2024 J jnl
Joint Weakly Supervised Image Emotion Analysis Based on Interclass Discrimination and Intraclass Correlation.
IEEE Intell. Syst.
Xinyue Zhang, Zhaoxia Wang, Guitao Cao, Seng-Beng Ho
2024 J jnl
Machine Learning for Refining Knowledge Graphs: A Survey.
ACM Comput. Surv.
Budhitama Subagdja, D. Shanthoshigaa, Zhaoxia Wang, Ah-Hwee Tan
2024 — conf
Performance Analysis of Llama 2 Among Other LLMs.
CAI
Donghao Huang, Zhenda Hu, Zhaoxia Wang
2024 — ed.
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2024 Workshops, RAFDA and IWTA, Taipei, Taiwan, May 7-10, 2024, Proceedings
PAKDD (Workshops)
Zhaoxia Wang, Chang Wei Tan
2023 J jnl
Aspect Sentiment Triplet Extraction Incorporating Syntactic Constituency Parsing Tree and Commonsense Knowledge Graph.
Cogn. Comput.
Zhenda Hu, Zhaoxia Wang, Yinglin Wang, Ah-Hwee Tan
2023 — conf
Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External Knowledge.
ICDM (Workshops)
Autumn Teo, Zhaoxia Wang, Haibo Pen, Budhitama Subagdja, Seng-Beng Ho, Boon-Kiat Quek
2023 — conf
Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication.
BICS
Seng-Beng Ho, Zhaoxia Wang, Boon-Kiat Quek, Erik Cambria
2023 J jnl
Learning-Based Stock Trending Prediction by Incorporating Technical Indicators and Social Media Sentiment.
Cogn. Comput.
Zhaoxia Wang, Zhenda Hu, Fang Li, Seng-Beng Ho, Erik Cambria
2023 J jnl
MSRL-Net: A multi-level semantic relation-enhanced learning network for aspect-based sentiment analysis.
Expert Syst. Appl.
Zhenda Hu, Zhaoxia Wang, Yinglin Wang, Ah-Hwee Tan
2023 J jnl
MiMuSA - mimicking human language understanding for fine-grained multi-class sentiment analysis.
Neural Comput. Appl.
Zhaoxia Wang, Zhenda Hu, Seng-Beng Ho, Erik Cambria, Ah-Hwee Tan
2023 J jnl
Seven Pillars for the Future of Artificial Intelligence.
IEEE Intell. Syst.
Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho
2023 J jnl
Survey on sentiment analysis: evolution of research methods and topics.
Artif. Intell. Rev.
Jingfeng Cui, Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
2023 — conf
Video Sentiment Analysis for Child Safety.
ICDM (Workshops)
Yee Sen Tan, Nicole Anne Teo Huiying, Ezekiel En Zhe Ghe, Jolie Zhi Yi Fong, Zhaoxia Wang
2022 J jnl
Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication.
CoRR
Seng-Beng Ho, Zhaoxia Wang, Boon-Kiat Quek, Erik Cambria
2021 J jnl
Boundary precedence image inpainting method based on Self-organizing Maps.
Knowl. Based Syst.
Haibo Pen, Quan Wang, Zhaoxia Wang
2021 — conf
Mining Consumer Brand Relationship from Social Media Data: A Natural Language Processing Approach.
ICAIS (1)
Di Shang, Zhenda Hu, Zhaoxia Wang
2021 B conf
Stock Market Trend Forecasting Based on Multiple Textual Features: A Deep Learning Method.
ICTAI
Zhenda Hu, Zhaoxia Wang, Seng-Beng Ho, Ah-Hwee Tan
2020 J jnl
A review of emotion sensing: categorization models and algorithms.
Multim. Tools Appl.
Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
2020 J jnl
Multi-Level Fine-Scaled Sentiment Sensing with Ambivalence Handling.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
2020 J jnl
Optimal Feature Selection for Learning-Based Algorithms for Sentiment Classification.
Cogn. Comput.
Zhaoxia Wang, Zhiping Lin
2020 J jnl
Structure-Priority Image Restoration Through Genetic Algorithm Optimization.
IEEE Access
Zhaoxia Wang, Haibo Pen, Ting Yang, Quan Wang
2019 — conf
Language and Robotics: Complex Sentence Understanding.
ICIRA (6)
Seng-Beng Ho, Zhaoxia Wang
2019 — conf
On True Language Understanding.
ICAIS (2)
Seng-Beng Ho, Zhaoxia Wang
2018 — conf
Comparing ELM with SVM in the Field of Sentiment Classification of Social Media Text Data.
ELM
Zhihuan Chen, Zhaoxia Wang, Zhiping Lin, Ting Yang
2018 — conf
Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment.
ICDM Workshops
Zhaoxia Wang, Seng-Beng Ho, Zhiping Lin
2016 J jnl
Feature Knowledge Based Fault Detection of Induction Motors Through the Analysis of Stator Current Data.
IEEE Trans. Instrum. Meas.
Ting Yang, Haibo Pen, Zhaoxia Wang, Che Sau Chang
2016 — conf
Lexicon Knowledge Extraction with Sentiment Polarity Computation.
ICDM Workshops
Zhaoxia Wang, Victor Joo Chuan Tong, Pingcheng Ruan, Fang Li
2014 C conf
Anomaly Detection through Enhanced Sentiment Analysis on Social Media Data.
CloudCom
Zhaoxia Wang, Victor Joo Chuan Tong, Xin Xin, Hoong Chor Chin
2014 — conf
Enhancing Machine-Learning Methods for Sentiment Classification of Web Data.
AIRS
Zhaoxia Wang, Victor Joo Chuan Tong, Hoong Chor Chin
2014 C conf
Issues of Social Data Analytics with a New Method for Sentiment Analysis of Social Media Data.
CloudCom
Zhaoxia Wang, Victor Joo Chuan Tong, David Chan
2014 J jnl
Ubiquitous Data-Centric Sensor Networks.
Int. J. Distributed Sens. Networks
Ting Yang, Peng-Yung Woo, Zhaoxia Wang, Javid Taheri, Chin Hoong Choor, Guoqiang Hu
2013 — conf
Disclosing Climate Change Patterns Using an Adaptive Markov Chain Pattern Detection Method.
SOCIETY
Zhaoxia Wang, Gary Lee, Hoong-Maeng Chan, Reuben Mingguang Li, Xiuju Fu, Rick Siow Mong Goh, Pauline Aw, Martin Hibberd, Hoong Chor Chin
2013 — conf
RiskVis: Supply chain visualization with risk management and real-time monitoring.
CASE
Rick Siow Mong Goh, Zhaoxia Wang, Xiaofeng Yin, Xiuju Fu, Loganathan Ponnambalam, Sifei Lu, Xiaorong Li
2012 J jnl
Hierarchical Fuzzy Logic System for Implementing Maintenance Schedules of Offshore Power Systems.
IEEE Trans. Smart Grid
C. S. Chang, Zhaoxia Wang, Fan Yang, W. W. Tan
2012 B conf
Visualization for Anomaly Detection and Data Management by Leveraging Network, Sensor and GIS Techniques.
ICPADS
Zhaoxia Wang, Chee Seng Chong, Rick Siow Mong Goh, Wanqing Zhou, Dan Peng, Hoong Chor Chin
2009 B conf
Adaptive Type-2 Fuzzy Maintenance Advisor for Offshore Power Systems.
SMC
Zhaoxia Wang, C. S. Chang, Fan Yang, W. W. Tan
2009 — conf
Detecting Automotive Exhaust Gas Based on Fuzzy Inference System.
FSKD (3)
Shujin Li, Ming Bai, Quan Wang, Bo Chen, Xiao-bing Zhao, Ting Yang, Zhaoxia Wang
2009 — conf
Multilayer Image Inpainting Approach Based on Neural Networks.
ICNC (3)
Quan Wang, Zhaoxia Wang, Che Sau Chang, Ting Yang