Xinzhi Wang

68 papers A* 1B 9C 5Journal 41Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic cognitive cycle-driven multimodal agent for knowledge graph completion.
Expert Syst. Appl.
Kai Yang, Xinzhi Wang, Baoguo Lu, Xiangfeng Luo, Chengfan Li, Jianqiang Huang
2026 J jnl
FKQG: Few-shot question generation from knowledge graph via large language model in-context learning.
Data Knowl. Eng.
Ruishen Liu, Shaorong Xie, Xinzhi Wang, Xiangfeng Luo, Hang Yu
2026 J jnl
Temporal knowledge graph reasoning with local-global evolutionary patterns.
Pattern Recognit.
Xiangfeng Luo, Xuanshuang Wang, Xinzhi Wang, Ruishen Liu
2025 B conf
ESSI-KG: Enhancing Structural Semantic Integration in KG-to-Text Pretraining Models.
IJCNN
Xin Tie, Ruishen Liu, Xiangfeng Luo, Shaorong Xie, Xinzhi Wang
2025 J jnl
Emotion inference of text based on counterfactual behavior knowledge.
Inf. Fusion
Xinzhi Wang, Jiayan Qian, Yudong Chang, Hang Yu, Hui Zhang
2025 J jnl
FL-Evo: Jointly modeling fact and logic evolution patterns for temporal knowledge graph reasoning.
Expert Syst. Appl.
Ruishen Liu, Xinzhi Wang, Shaorong Xie, Xiangfeng Luo, Huizhe Su
2025 J jnl
Fire Situation Monitoring Through Subtractive Counterfactual-Based Visual Segmentation.
IEEE Trans. Ind. Informatics
Xinzhi Wang, Mengyue Li, Zhanyi Zheng, Weiwang Chen, Hui Zhang
2025 J jnl
Fuzzy knowledge inference-based dynamic task allocation method for multi-agent systems.
Inf. Sci.
Mengke Wang, Xiaoming Wang, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie
2025 J jnl
Improving inference via rich path information and logic rules for document-level relation extraction.
Knowl. Inf. Syst.
Huizhe Su, Shaorong Xie, Hang Yu, Changsen Yuan, Xinzhi Wang, Xiangfeng Luo
2025 J jnl
MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection.
Knowl. Based Syst.
Nengjun Zhu, Yuqiang Ren, Yu Liu, Hang Yu, Xinzhi Wang, Xiangfeng Luo
2025 J jnl
Public Behavior and Emotion Correlation Mining Driven by Aspect From News Corpus.
IEEE Trans. Neural Networks Learn. Syst.
Xinzhi Wang, Yudong Chang, Luyao Kou, Xiangfeng Luo, Hui Zhang
2025 J jnl
Representation purification with semantic contrastive learning for hyper-relational knowledge graph.
Knowl. Based Syst.
Jianqiang Huang, Xiangfeng Luo, Xinzhi Wang, Shaorong Xie, Ruoxin Zheng
2025 C conf
STSR-Nav: Spatial-Temporal Scene Representation for Navigation Policy Learning Based on UAV-UGV Collaborative Perception.
CSCWD
Jie Liu, Shaorong Xie, Xiangfeng Luo, Xinzhi Wang, Zhenyu Zhang, Tao Wang
2025 C conf
Substructure Mining Based on Fact Reflection.
SEKE
Xinzhi Wang, Zhennan Li, Yiming Zhang, Jiayan Qian, Yinghua Ma
2025 J jnl
Substructure Mining Based on Feature Patterns Reflection.
J. Vis. Lang. Comput.
Zhennan Li, Xinzhi Wang, Cheng Liu, Jiayan Qian, Yinghua Ma
2025 J jnl
Towards Fraud Detection via Fine-Grained Classification of User Behavior.
IEEE Trans. Big Data
Xinzhi Wang, Hang Yu, Jiayu Guo, Pengbo Li, Xiangfeng Luo
2024 J jnl
A Dual Decision-Making Continuous Reinforcement Learning Method Based on Sim2Real.
Int. J. Softw. Eng. Knowl. Eng.
Wenwen Xiao, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie
2024 J jnl
Combining prompt learning with contextual semantics for inductive relation prediction.
Expert Syst. Appl.
Shaorong Xie, Qifei Pan, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran
2024 A* conf
Early Fire Detection Based on Local Morphological Knowledge Matching.
ICDM
Xinzhi Wang, Mengyue Li, Nengjun Zhu, Jiayan Qian, Zhanyi Zheng
2024 J jnl
Enhanced Implicit Sentiment Understanding With Prototype Learning and Demonstration for Aspect-Based Sentiment Analysis.
IEEE Trans. Comput. Soc. Syst.
Huizhe Su, Xinzhi Wang, Jinpeng Li, Shaorong Xie, Xiangfeng Luo
2024 J jnl
Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection.
Cogn. Comput.
Xinzhi Wang, Mengyue Li, Hang Yu, Chenyang Wang, Vijayan Sugumaran, Hui Zhang
2024 J jnl
Entity recognition based on heterogeneous graph reasoning of visual region and text candidate.
Mach. Learn.
Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li
2024 J jnl
Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning.
Neurocomputing
Shaorong Xie, Ruishen Liu, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran, Hang Yu
2024 J jnl
Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative-competitive environments.
Inf. Fusion
Shaorong Xie, Yang Li, Xinzhi Wang, Han Zhang, Zhenyu Zhang, Xiangfeng Luo, Hang Yu
2024 J jnl
Hierarchical visual semantic guidance for enhanced relationship recognition in domain knowledge graphs.
Eng. Appl. Artif. Intell.
Xinzhi Wang, Jiayu Guo, Xiangfeng Luo
2024 B conf
Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection.
IJCNN
Xin Wang, Xiangfeng Luo, Xinzhi Wang, Hang Yu
2024 — conf
Optimize Rule Mining Based on Constraint Learning in Knowledge Graph.
KSEM (3)
Kaiyue Cai, Xinzhi Wang, Xiangfeng Luo
2024 — conf
Refining ChatGPT for Document-Level Relation Extraction: A Multi-dimensional Prompting Approach.
ICIC (LNAI 3)
Weiran Zhu, Xinzhi Wang, Xue Chen, Xiangfeng Luo
2024 J jnl
Review and Application of Knowledge Graph in Crisis Management.
Int. J. Softw. Eng. Knowl. Eng.
Xinzhi Wang, Mengyue Li, Weiwang Chen, Yige Yao, Zhennan Li, Yi Liu, Hui Zhang
2024 — conf
Script Event Prediction Based on Knowledge Distillation of Large Language Models.
ICNSC
Chunning Hou, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie
2023 J jnl
Accelerating Multi-Exit BERT Inference via Curriculum Learning and Knowledge Distillation.
Int. J. Softw. Eng. Knowl. Eng.
Shengwei Gu, Xiangfeng Luo, Xinzhi Wang, Yike Guo
2023 C conf
DDCL: A Dual Decision-making Continuous Reinforcement Learning Method Based on Sim2Real.
SEKE
Wenwen Xiao, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie
2023 B conf
Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate.
DSAA
Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li
2023 B conf
Multimodal Cross-Attention Bayesian Network for Social News Emotion Recognition.
IJCNN
Xinzhi Wang, Mengyue Li, Yudong Chang, Xiangfeng Luo, Yige Yao, Zhichao Li
2023 C conf
Short Review of Intention Mining in Social Crisis Management through Automatic Technologies.
SEKE
Xinzhi Wang, Mengyue Li, Yige Yao, Zhennan Li, Yi Liu, Hui Zhang
2022 B conf
Fully Parameterized Dueling Mixing Distributional Q-Leaning for Multi-Agent Cooperation.
ICTAI
Qianhui Wang, Xinzhi Wang, Mingke Gao, Xiangfeng Luo, Yang Li, Han Zhang
2022 — conf
Incorporating Explanations to Balance the Exploration and Exploitation of Deep Reinforcement Learning.
KSEM (2)
Xinzhi Wang, Yang Liu, Yudong Chang, Chao Jiang, Qingjie Zhang
2022 J jnl
Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network.
Expert Syst. J. Knowl. Eng.
Xiaoxiao Yu, Xinzhi Wang, Xiangfeng Luo, Jianqi Gao
2022 J jnl
Path embedded hybrid reasoning model for relation prediction in knowledge graphs.
Int. J. Embed. Syst.
Danyang Zhao, Xinzhi Wang, Xiangfeng Luo
2022 — conf
Towards Explainable Reinforcement Learning Using Scoring Mechanism Augmented Agents.
KSEM (2)
Yang Liu, Xinzhi Wang, Yudong Chang, Chao Jiang
2021 — conf
A Question Answering System Applied to Disasters.
ISCRAM
Xiaojing Guo, Xinzhi Wang, Luyao Kou, Hui Zhang
2021 J jnl
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text.
IEEE Trans. Cybern.
Xinzhi Wang, Luyao Kou, Vijayan Sugumaran, Xiangfeng Luo, Hui Zhang
2021 J jnl
Implicit Emotion Relationship Mining Based on Optimal and Majority Synthesis From Multimodal Data Prediction.
IEEE Multim.
Xinzhi Wang, Yudong Chang, Vijayan Sugumaran, Xiangfeng Luo, Peng Wang, Hui Zhang
2021 J jnl
Learning adversarial policy in multiple scenes environment via multi-agent reinforcement learning.
Connect. Sci.
Yang Li, Xinzhi Wang, Wei Wang, Zhenyu Zhang, Jianshu Wang, Xiangfeng Luo, Shaorong Xie
2021 J jnl
Unmanned surface vehicle adaptive decision model for changing weather.
Int. J. Comput. Sci. Eng.
Han Zhang, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie, Shixiong Zhu
2020 B conf
Cooperative Multi-Agent Reinforcement Learning with Hierarchical Relation Graph under Partial Observability.
ICTAI
Yang Li, Xinzhi Wang, Jianshu Wang, Wei Wang, Xiangfeng Luo, Shaorong Xie
2020 J jnl
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text.
CoRR
Xinzhi Wang, Luyao Kou, Vijayan Sugumaran, Xiangfeng Luo, Hui Zhang
2020 J jnl
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System.
CoRR
Xinzhi Wang, Huao Li, Rui Liu, Hui Zhang, Michael Lewis, Katia P. Sycara
2020 — conf
Inter-sentence and Implicit Causality Extraction from Chinese Corpus.
PAKDD (1)
Xianxian Jin, Xinzhi Wang, Xiangfeng Luo, Subin Huang, Shengwei Gu
2020 J jnl
Interdisciplinary knowledge-based implicit emotion recognition.
Concurr. Comput. Pract. Exp.
Jialin Jiang, Xinzhi Wang, Xiangfeng Luo
2020 B conf
Open-World Relationship Prediction.
ICTAI
Jingchao Wang, Xinzhi Wang, Xiangfeng Luo, Wei Qin
2020 B conf
SEM: Adaptive Staged Experience Access Mechanism for Reinforcement Learning.
ICTAI
Jianshu Wang, Xinzhi Wang, Xiangfeng Luo, Zhenyu Zhang, Wei Wang, Yang Li
2019 — conf
Bridge improvement cost estimation through both discrete and continuous features.
EM-GIS
Zhaojun Lin, Yanyun Fu, Xinzhi Wang, Yiping Zeng, Hui Zhang
2019 — conf
Study on Uni-directinal Pedestrian Flow Based on Artificial Neural Network.
ICVISP
Yiping Zeng, Hui Zhang, Xiaodong Liu, Yanyun Fu, Xinzhi Wang, Rui Ye
2019 B conf
Verbal Explanations for Deep Reinforcement Learning Neural Networks with Attention on Extracted Features.
RO-MAN
Xinzhi Wang, Shengcheng Yuan, Hui Zhang, Michael Lewis, Katia P. Sycara
2018 J jnl
A Capability Assessment Model for Emergency Management Organizations.
Inf. Syst. Frontiers
Xinzhi Wang, Vijayan Sugumaran, Hui Zhang, Zheng Xu
2018 J jnl
Estimation of Inter-Sentiment Correlations Employing Deep Neural Network Models.
CoRR
Xinzhi Wang, Shengcheng Yuan, Hui Zhang, Yi Liu
2018 J jnl
Public Health Emergency Management and Multi-Source Data Technology in China.
Intell. Autom. Soft Comput.
Xinzhi Wang, Yi Liu, Hui Zhang, Qiuju Ma, Zhidong Cao
2018 J jnl
Sentence Vector Model Based on Implicit Word Vector Expression.
IEEE Access
Xinzhi Wang, Hui Zhang, Yi Liu
2017 J jnl
Propagation of Social Emotion in Cyber Space Based on Cognitive Social Psychology.
IEEE Access
Xinzhi Wang, Hui Zhang
2016 J jnl
Outbreak Power Measurement for Evolution Course of Web Events.
J. Web Eng.
Xinzhi Wang, Xiangfeng Luo, Hui Zhang, Zheng Xu, Huimin Liu
2016 J jnl
Public Sentiments Analysis Based on Fuzzy Logic for Text.
Int. J. Softw. Eng. Knowl. Eng.
Xinzhi Wang, Hui Zhang, Zheng Xu
2016 C conf
Sentiment Analysis of Name Entity for Text.
SEKE
Xinzhi Wang, Hui Zhang, Jiayue Wang, Yang Zhou
2016 J jnl
Sentiment processing of social media information from both wireless and wired network.
EURASIP J. Wirel. Commun. Netw.
Xinzhi Wang, Hui Zhang, Shengcheng Yuan, Jiayue Wang, Yang Zhou
2015 J jnl
Measuring the veracity of web event via uncertainty.
J. Syst. Softw.
Xinzhi Wang, Xiangfeng Luo, Huiming Liu
2014 — conf
Keyword-Based Semantic Analysis of Microblog for Public Opinion Study in Online Collective Behaviors.
WAIM Workshops
Yefeng Ma, Qing Deng, Xinzhi Wang, Jiaqi Liu, Hui Zhang
2013 — conf
Sentimental Space Based Analysis of User Personalized Sentiments.
SKG
Xinzhi Wang, Xiangfeng Luo
2013 — conf
Social Sentiment Detection of Event via Microblog.
CSE
Xinzhi Wang, Xiangfeng Luo, Jinjun Chen