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ORCIDXinzhi Wang 0001
Person information
- affiliation: Shanghai University, School of Computer Engineering and Science, Shanghai, China
- affiliation (PhD 2019): Tsinghua University, Department of Engineering Physics, Institute of Public Safety Research, Beijing, China
- affiliation (until 2015): Shanghai University, Shanghai, School of Computer Engineering and Science, China
Other persons with the same name
- Xinzhi Wang — disambiguation page
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2020 – today
- 2024
[j19]Shaorong Xie, Qifei Pan
, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran:
Combining prompt learning with contextual semantics for inductive relation prediction. Expert Syst. Appl. 238(Part D): 121669 (2024)- [j18]Shaorong Xie, Ruishen Liu, Xinzhi Wang, Xiangfeng Luo, Vijayan Sugumaran, Hang Yu:
Hierarchical Knowledge-Enhancement Framework for multi-hop knowledge graph reasoning. Neurocomputing 588: 127673 (2024) - [j17]Shaorong Xie, Yang Li, Xinzhi Wang, Han Zhang, Zhenyu Zhang, Xiangfeng Luo, Hang Yu:
Hierarchical relationship modeling in multi-agent reinforcement learning for mixed cooperative-competitive environments. Inf. Fusion 108: 102318 (2024) - [j16]Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li:
Entity recognition based on heterogeneous graph reasoning of visual region and text candidate. Mach. Learn. 113(8): 5351-5378 (2024) - [c21]Weiran Zhu, Xinzhi Wang, Xue Chen, Xiangfeng Luo:
Refining ChatGPT for Document-Level Relation Extraction: A Multi-dimensional Prompting Approach. ICIC (LNAI 3) 2024: 190-201 - [c20]Kaiyue Cai, Xinzhi Wang, Xiangfeng Luo:
Optimize Rule Mining Based on Constraint Learning in Knowledge Graph. KSEM (3) 2024: 82-98 - 2023
- [j15]Shengwei Gu, Xiangfeng Luo, Xinzhi Wang, Yike Guo:
Accelerating Multi-Exit BERT Inference via Curriculum Learning and Knowledge Distillation. Int. J. Softw. Eng. Knowl. Eng. 33(3): 395-413 (2023) - [c19]Xinzhi Wang, Nengjun Zhu, Jiahao Li, Yudong Chang, Zhennan Li:
Entity Recognition Based on Heterogeneous Graph Reasoning of Visual Region and Text Candidate. DSAA 2023: 1-2 - [c18]Xinzhi Wang, Mengyue Li, Yudong Chang, Xiangfeng Luo, Yige Yao, Zhichao Li:
Multimodal Cross-Attention Bayesian Network for Social News Emotion Recognition. IJCNN 2023: 1-9 - [c17]Xinzhi Wang, Mengyue Li, Yige Yao, Zhennan Li, Yi Liu, Hui Zhang:
Short Review of Intention Mining in Social Crisis Management through Automatic Technologies. SEKE 2023: 2-7 - [c16]Wenwen Xiao, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie:
DDCL: A Dual Decision-making Continuous Reinforcement Learning Method Based on Sim2Real. SEKE 2023: 20-25 - 2022
- [j14]Xiaoxiao Yu, Xinzhi Wang, Xiangfeng Luo, Jianqi Gao:
Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network. Expert Syst. J. Knowl. Eng. 39(5) (2022) - [j13]Danyang Zhao, Xinzhi Wang, Xiangfeng Luo:
Path embedded hybrid reasoning model for relation prediction in knowledge graphs. Int. J. Embed. Syst. 15(1): 44-52 (2022) - [c15]Qianhui Wang, Xinzhi Wang, Mingke Gao, Xiangfeng Luo, Yang Li, Han Zhang:
Fully Parameterized Dueling Mixing Distributional Q-Leaning for Multi-Agent Cooperation. ICTAI 2022: 1147-1151 - [c14]Xinzhi Wang, Yang Liu, Yudong Chang, Chao Jiang, Qingjie Zhang:
Incorporating Explanations to Balance the Exploration and Exploitation of Deep Reinforcement Learning. KSEM (2) 2022: 200-211 - [c13]Yang Liu, Xinzhi Wang, Yudong Chang, Chao Jiang:
Towards Explainable Reinforcement Learning Using Scoring Mechanism Augmented Agents. KSEM (2) 2022: 547-558 - 2021
- [j12]Yang Li, Xinzhi Wang, Wei Wang, Zhenyu Zhang, Jianshu Wang, Xiangfeng Luo, Shaorong Xie:
Learning adversarial policy in multiple scenes environment via multi-agent reinforcement learning. Connect. Sci. 33(3): 407-426 (2021) - [j11]Xinzhi Wang, Yudong Chang, Vijayan Sugumaran, Xiangfeng Luo, Peng Wang, Hui Zhang:
Implicit Emotion Relationship Mining Based on Optimal and Majority Synthesis From Multimodal Data Prediction. IEEE Multim. 28(2): 96-105 (2021) - [j10]Han Zhang, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie, Shixiong Zhu:
Unmanned surface vehicle adaptive decision model for changing weather. Int. J. Comput. Sci. Eng. 24(1): 18-26 (2021) - [j9]Xinzhi Wang, Luyao Kou, Vijayan Sugumaran, Xiangfeng Luo, Hui Zhang:
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text. IEEE Trans. Cybern. 51(9): 4400-4413 (2021) - [c12]Xiaojing Guo, Xinzhi Wang, Luyao Kou, Hui Zhang:
A Question Answering System Applied to Disasters. ISCRAM 2021: 2-16 - 2020
- [j8]Jialin Jiang, Xinzhi Wang, Xiangfeng Luo:
Interdisciplinary knowledge-based implicit emotion recognition. Concurr. Comput. Pract. Exp. 32(22) (2020) - [c11]Yang Li, Xinzhi Wang, Jianshu Wang, Wei Wang, Xiangfeng Luo, Shaorong Xie:
Cooperative Multi-Agent Reinforcement Learning with Hierarchical Relation Graph under Partial Observability. ICTAI 2020: 1-8 - [c10]Jingchao Wang, Xinzhi Wang, Xiangfeng Luo, Wei Qin:
Open-World Relationship Prediction. ICTAI 2020: 323-330 - [c9]Jianshu Wang, Xinzhi Wang, Xiangfeng Luo, Zhenyu Zhang, Wei Wang, Yang Li:
SEM: Adaptive Staged Experience Access Mechanism for Reinforcement Learning. ICTAI 2020: 1088-1095 - [c8]Xianxian Jin, Xinzhi Wang, Xiangfeng Luo, Subin Huang, Shengwei Gu:
Inter-sentence and Implicit Causality Extraction from Chinese Corpus. PAKDD (1) 2020: 739-751 - [i3]Xinzhi Wang, Luyao Kou, Vijayan Sugumaran, Xiangfeng Luo, Hui Zhang:
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text. CoRR abs/2007.14071 (2020) - [i2]Xinzhi Wang, Huao Li, Rui Liu, Hui Zhang, Michael Lewis, Katia P. Sycara:
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System. CoRR abs/2008.01508 (2020)
2010 – 2019
- 2019
- [c7]Zhaojun Lin, Yanyun Fu, Xinzhi Wang, Yiping Zeng, Hui Zhang:
Bridge improvement cost estimation through both discrete and continuous features. EM-GIS 2019: 5:1-5:6 - [c6]Yiping Zeng, Hui Zhang, Xiaodong Liu, Yanyun Fu, Xinzhi Wang, Rui Ye:
Study on Uni-directinal Pedestrian Flow Based on Artificial Neural Network. ICVISP 2019: 81:1-81:5 - [c5]Xinzhi Wang, Shengcheng Yuan, Hui Zhang, Michael Lewis, Katia P. Sycara:
Verbal Explanations for Deep Reinforcement Learning Neural Networks with Attention on Extracted Features. RO-MAN 2019: 1-7 - 2018
- [j7]Xinzhi Wang, Hui Zhang, Yi Liu:
Sentence Vector Model Based on Implicit Word Vector Expression. IEEE Access 6: 17455-17463 (2018) - [j6]Xinzhi Wang, Vijayan Sugumaran, Hui Zhang, Zheng Xu:
A Capability Assessment Model for Emergency Management Organizations. Inf. Syst. Frontiers 20(4): 653-667 (2018) - [i1]Xinzhi Wang, Shengcheng Yuan, Hui Zhang, Yi Liu:
Estimation of Inter-Sentiment Correlations Employing Deep Neural Network Models. CoRR abs/1811.09755 (2018) - 2017
- [j5]Xinzhi Wang, Hui Zhang:
Propagation of Social Emotion in Cyber Space Based on Cognitive Social Psychology. IEEE Access 5: 1005-1012 (2017) - 2016
- [j4]Xinzhi Wang, Hui Zhang, Shengcheng Yuan, Jiayue Wang, Yang Zhou:
Sentiment processing of social media information from both wireless and wired network. EURASIP J. Wirel. Commun. Netw. 2016: 164 (2016) - [j3]Xinzhi Wang, Hui Zhang, Zheng Xu:
Public Sentiments Analysis Based on Fuzzy Logic for Text. Int. J. Softw. Eng. Knowl. Eng. 26(9-10): 1341-1360 (2016) - [j2]Xinzhi Wang, Xiangfeng Luo, Hui Zhang, Zheng Xu, Huimin Liu:
Outbreak Power Measurement for Evolution Course of Web Events. J. Web Eng. 15(3&4): 226-248 (2016) - [c4]Xinzhi Wang, Hui Zhang, Jiayue Wang, Yang Zhou:
Sentiment Analysis of Name Entity for Text. SEKE 2016: 37-41 - 2015
- [j1]Xinzhi Wang, Xiangfeng Luo, Huiming Liu:
Measuring the veracity of web event via uncertainty. J. Syst. Softw. 102: 226-236 (2015) - 2014
- [c3]Yefeng Ma, Qing Deng, Xinzhi Wang, Jiaqi Liu, Hui Zhang:
Keyword-Based Semantic Analysis of Microblog for Public Opinion Study in Online Collective Behaviors. WAIM Workshops 2014: 44-55 - 2013
- [c2]Xinzhi Wang, Xiangfeng Luo, Jinjun Chen:
Social Sentiment Detection of Event via Microblog. CSE 2013: 1051-1058 - [c1]Xinzhi Wang, Xiangfeng Luo:
Sentimental Space Based Analysis of User Personalized Sentiments. SKG 2013: 151-156
Coauthor Index
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last updated on 2024-08-23 19:22 CEST by the dblp team
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