Social Sentiment Detection of Event via Microblog. - Xinzhi Wang 001; Xiangfeng Luo; Jinjun Chen (CSE, 2013)

Sentimental Space Based Analysis of User Personalized Sentiments. - Xinzhi Wang 001; Xiangfeng Luo (SKG, 2013)

Keyword-Based Semantic Analysis of Microblog for Public Opinion Study in Online Collective Behaviors. - Yefeng Ma; Qing Deng; Xinzhi Wang 001; Jiaqi Liu; Hui Zhang 016 (WAIM Workshops, 2014)

Measuring the veracity of web event via uncertainty. - Xinzhi Wang 001; Xiangfeng Luo; Huiming Liu (J. Syst. Softw., 2015)

Sentiment Analysis of Name Entity for Text. - Xinzhi Wang 001; Hui Zhang 016; Jiayue Wang; Yang Zhou (SEKE, 2016)

Sentiment processing of social media information from both wireless and wired network. - Xinzhi Wang 001; Hui Zhang 016; Shengcheng Yuan; Jiayue Wang; Yang Zhou (EURASIP J. Wirel. Commun. Netw., 2016)

Public Sentiments Analysis Based on Fuzzy Logic for Text. - Xinzhi Wang 001; Hui Zhang 016; Zheng Xu 001 (Int. J. Softw. Eng. Knowl. Eng., 2016)

Outbreak Power Measurement for Evolution Course of Web Events. - Xinzhi Wang 001; Xiangfeng Luo; Hui Zhang 016; Zheng Xu 001; Huimin Liu (J. Web Eng., 2016)

Propagation of Social Emotion in Cyber Space Based on Cognitive Social Psychology. - Xinzhi Wang 001; Hui Zhang 016 (IEEE Access, 2017)

Sentence Vector Model Based on Implicit Word Vector Expression. - Xinzhi Wang 001; Hui Zhang 016; Yi Liu 003 (IEEE Access, 2018)

Estimation of Inter-Sentiment Correlations Employing Deep Neural Network Models. - Xinzhi Wang 001; Shengcheng Yuan; Hui Zhang 016; Yi Liu 003 (CoRR, 2018)

A Capability Assessment Model for Emergency Management Organizations. - Xinzhi Wang 001; Vijayan Sugumaran; Hui Zhang 016; Zheng Xu 001 (Inf. Syst. Frontiers, 2018)

Bridge improvement cost estimation through both discrete and continuous features. - Zhaojun Lin; Yanyun Fu; Xinzhi Wang 001; Yiping Zeng; Hui Zhang 016 (EM-GIS, 2019)

Study on Uni-directinal Pedestrian Flow Based on Artificial Neural Network. - Yiping Zeng; Hui Zhang 016; Xiaodong Liu; Yanyun Fu; Xinzhi Wang 001; Rui Ye (ICVISP, 2019)

Verbal Explanations for Deep Reinforcement Learning Neural Networks with Attention on Extracted Features. - Xinzhi Wang 001; Shengcheng Yuan; Hui Zhang 016; Michael Lewis 001; Katia P. Sycara (RO-MAN, 2019)

Cooperative Multi-Agent Reinforcement Learning with Hierarchical Relation Graph under Partial Observability. - Yang Li 151; Xinzhi Wang 001; Jianshu Wang; Wei Wang 296; Xiangfeng Luo; Shaorong Xie (ICTAI, 2020)

Open-World Relationship Prediction. - Jingchao Wang 001; Xinzhi Wang 001; Xiangfeng Luo; Wei Qin (ICTAI, 2020)

SEM: Adaptive Staged Experience Access Mechanism for Reinforcement Learning. - Jianshu Wang; Xinzhi Wang 001; Xiangfeng Luo; Zhenyu Zhang 013; Wei Wang 296; Yang Li 151 (ICTAI, 2020)

Inter-sentence and Implicit Causality Extraction from Chinese Corpus. - Xianxian Jin; Xinzhi Wang 001; Xiangfeng Luo; Subin Huang; Shengwei Gu (PAKDD (1), 2020)

Interdisciplinary knowledge-based implicit emotion recognition. - Jialin Jiang; Xinzhi Wang 001; Xiangfeng Luo (Concurr. Comput. Pract. Exp., 2020)

Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System. - Xinzhi Wang 001; Huao Li; Rui Liu; Hui Zhang 016; Michael Lewis 001; Katia P. Sycara (CoRR, 2020)

A Question Answering System Applied to Disasters. - Xiaojing Guo; Xinzhi Wang 001; Luyao Kou; Hui Zhang 016 (ISCRAM, 2021)

Learning adversarial policy in multiple scenes environment via multi-agent reinforcement learning. - Yang Li 151; Xinzhi Wang 001; Wei Wang 296; Zhenyu Zhang 013; Jianshu Wang; Xiangfeng Luo; Shaorong Xie (Connect. Sci., 2021)

Implicit Emotion Relationship Mining Based on Optimal and Majority Synthesis From Multimodal Data Prediction. - Xinzhi Wang 001; Yudong Chang; Vijayan Sugumaran; Xiangfeng Luo; Peng Wang; Hui Zhang 016 (IEEE Multim., 2021)

Unmanned surface vehicle adaptive decision model for changing weather. - Han Zhang; Xinzhi Wang 001; Xiangfeng Luo; Shaorong Xie; Shixiong Zhu (Int. J. Comput. Sci. Eng., 2021)

Emotion Correlation Mining Through Deep Learning Models on Natural Language Text. - Xinzhi Wang 001; Luyao Kou; Vijayan Sugumaran; Xiangfeng Luo; Hui Zhang 016 (IEEE Trans. Cybern., 2021)

Fully Parameterized Dueling Mixing Distributional Q-Leaning for Multi-Agent Cooperation. - Qianhui Wang; Xinzhi Wang 001; Mingke Gao; Xiangfeng Luo; Yang Li 151; Han Zhang (ICTAI, 2022)

Incorporating Explanations to Balance the Exploration and Exploitation of Deep Reinforcement Learning. - Xinzhi Wang 001; Yang Liu; Yudong Chang; Chao Jiang; Qingjie Zhang (KSEM (2), 2022)

Towards Explainable Reinforcement Learning Using Scoring Mechanism Augmented Agents. - Yang Liu; Xinzhi Wang 001; Yudong Chang; Chao Jiang (KSEM (2), 2022)

Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network. - Xiaoxiao Yu; Xinzhi Wang 001; Xiangfeng Luo; Jianqi Gao 001 (Expert Syst. J. Knowl. Eng., 2022)

Path embedded hybrid reasoning model for relation prediction in knowledge graphs. - Danyang Zhao; Xinzhi Wang 001; Xiangfeng Luo (Int. J. Embed. Syst., 2022)

Multimodal Cross-Attention Bayesian Network for Social News Emotion Recognition. - Xinzhi Wang 001; Mengyue Li; Yudong Chang; Xiangfeng Luo; Yige Yao; Zhichao Li (IJCNN, 2023)

Short Review of Intention Mining in Social Crisis Management through Automatic Technologies. - Xinzhi Wang 001; Mengyue Li; Yige Yao; Zhennan Li; Yi Liu 003; Hui Zhang 016 (SEKE, 2023)

DDCL: A Dual Decision-making Continuous Reinforcement Learning Method Based on Sim2Real. - Wenwen Xiao; Xinzhi Wang 001; Xiangfeng Luo; Shaorong Xie (SEKE, 2023)

Accelerating Multi-Exit BERT Inference via Curriculum Learning and Knowledge Distillation. - Shengwei Gu; Xiangfeng Luo; Xinzhi Wang 001; Yike Guo (Int. J. Softw. Eng. Knowl. Eng., 2023)

Early Fire Detection Based on Local Morphological Knowledge Matching. - Xinzhi Wang 001; Mengyue Li; Nengjun Zhu; Jiayan Qian; Zhanyi Zheng (ICDM, 2024)

Refining ChatGPT for Document-Level Relation Extraction: A Multi-dimensional Prompting Approach. - Weiran Zhu; Xinzhi Wang 001; Xue Chen; Xiangfeng Luo (ICIC (LNAI 3), 2024)

Script Event Prediction Based on Knowledge Distillation of Large Language Models. - Chunning Hou; Xinzhi Wang 001; Xiangfeng Luo; Shaorong Xie (ICNSC, 2024)

Optimize Rule Mining Based on Constraint Learning in Knowledge Graph. - Kaiyue Cai; Xinzhi Wang 001; Xiangfeng Luo (KSEM (3), 2024)

Hierarchical visual semantic guidance for enhanced relationship recognition in domain knowledge graphs. - Xinzhi Wang 001; Jiayu Guo; Xiangfeng Luo (Eng. Appl. Artif. Intell., 2024)

Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning. - Shaorong Xie; Ruishen Liu; Xinzhi Wang 001; Xiangfeng Luo; Vijayan Sugumaran; Hang Yu 006 (Neurocomputing, 2024)

Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative-competitive environments. - Shaorong Xie; Yang Li 151; Xinzhi Wang 001; Han Zhang; Zhenyu Zhang 013; Xiangfeng Luo; Hang Yu 006 (Inf. Fusion, 2024)

Combining prompt learning with contextual semantics for inductive relation prediction. - Shaorong Xie; Qifei Pan; Xinzhi Wang 001; Xiangfeng Luo; Vijayan Sugumaran (Expert Syst. Appl., 2024)

Review and Application of Knowledge Graph in Crisis Management. - Xinzhi Wang 001; Mengyue Li; Weiwang Chen; Yige Yao; Zhennan Li; Yi Liu 003; Hui Zhang 016 (Int. J. Softw. Eng. Knowl. Eng., 2024)

A Dual Decision-Making Continuous Reinforcement Learning Method Based on Sim2Real. - Wenwen Xiao; Xinzhi Wang 001; Xiangfeng Luo; Shaorong Xie (Int. J. Softw. Eng. Knowl. Eng., 2024)

Entity recognition based on heterogeneous graph reasoning of visual region and text candidate. - Xinzhi Wang 001; Nengjun Zhu; Jiahao Li; Yudong Chang; Zhennan Li (Mach. Learn., 2024)

Enhanced Implicit Sentiment Understanding With Prototype Learning and Demonstration for Aspect-Based Sentiment Analysis. - Huizhe Su; Xinzhi Wang 001; Jinpeng Li; Shaorong Xie; Xiangfeng Luo (IEEE Trans. Comput. Soc. Syst., 2024)

Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection. - Xinzhi Wang 001; Mengyue Li; Hang Yu 006; Chenyang Wang; Vijayan Sugumaran; Hui Zhang 016 (Cogn. Comput., 2024)

STSR-Nav: Spatial-Temporal Scene Representation for Navigation Policy Learning Based on UAV-UGV Collaborative Perception. - Jie Liu; Shaorong Xie; Xiangfeng Luo; Xinzhi Wang 001; Zhenyu Zhang 013; Tao Wang 072 (CSCWD, 2025)

FL-Evo: Jointly modeling fact and logic evolution patterns for temporal knowledge graph reasoning. - Ruishen Liu; Xinzhi Wang 001; Shaorong Xie; Xiangfeng Luo; Huizhe Su (Expert Syst. Appl., 2025)

Emotion inference of text based on counterfactual behavior knowledge. - Xinzhi Wang 001; Jiayan Qian; Yudong Chang; Hang Yu 006; Hui Zhang 016 (Inf. Fusion, 2025)

Fuzzy knowledge inference-based dynamic task allocation method for multi-agent systems. - Mengke Wang; Xiaoming Wang; Xinzhi Wang 001; Xiangfeng Luo; Shaorong Xie (Inf. Sci., 2025)

MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection. - Nengjun Zhu; Yuqiang Ren; Yu Liu; Hang Yu 006; Xinzhi Wang 001; Xiangfeng Luo (Knowl. Based Syst., 2025)

Improving inference via rich path information and logic rules for document-level relation extraction. - Huizhe Su; Shaorong Xie; Hang Yu 006; Changsen Yuan; Xinzhi Wang 001; Xiangfeng Luo (Knowl. Inf. Syst., 2025)

Public Behavior and Emotion Correlation Mining Driven by Aspect From News Corpus. - Xinzhi Wang 001; Yudong Chang; Luyao Kou; Xiangfeng Luo; Hui Zhang 016 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Towards Fraud Detection via Fine-Grained Classification of User Behavior. - Xinzhi Wang 001; Hang Yu 006; Jiayu Guo; Pengbo Li; Xiangfeng Luo (IEEE Trans. Big Data, 2025)

Fire Situation Monitoring Through Subtractive Counterfactual-Based Visual Segmentation. - Xinzhi Wang 001; Mengyue Li; Zhanyi Zheng; Weiwang Chen; Hui Zhang 016 (IEEE Trans. Ind. Informatics, 2025)