研究领域与代表性论文
当前位置: 中文主页 >> Welcome >> 研究领域与代表性论文研究领域：
- 不确定性建模与推理（Uncertainty Modeling and Reasoning）
- 证据建模与推理（Belief Modeling and Reasoning）
- 基于多源信息的目标识别 （Multi-source Information Fusion Based Target Recognition）
- 弱小目标检测与识别（Dim and Small Target Detection and Recognition）
- 深度信息融合（Deep Information Fusion）
- 预案外开集目标识别（Open Set Recognition）
- 多模态信息处理与融合（Multi-modal Information Processing and Fusion）
- 集成学习与多分类器系统 （Ensemble Learning and Multiple Classifier Systems）
- 目标时空特性深度建模与挖掘（Tempo-Spatial Object Feature Modeling and Mining）
- 多属性智能决策与故障诊断（Multi-Criterion Intelligent Decision Making and Fault Diagnosis）
- 智能航迹信息处理与关联（Intelligent Track Processing and Association）
- 组合导航与协同导航 (Combined Navigation and Cooperative Navigation)
代表性论文：
| Han Deqiang*, Dezert Jean, Yang Yi. Belief Interval-Based Distance Measures in the Theory of Belief Functions, IEEE Trans. on Systems, Man & Cybernetics: systems, 2018 |
| Han Deqiang*, Dezert J, Duan Z S. Evaluation of Probability Transformations of Belief Functions for Decision Making, IEEE Trans. on Systems, Man & Cybernetics: systems, 2016 |
| Han Deqiang*, Liu Weibing, Dezert Jean, et al. A novel approach to pre-extracting support vectors based on the theory of belief functions, Knowledge-Based Systems, 2016 |
| Han Deqiang, Yang Yi*, Han Chongzhao. Evidence updating based on novel Jeffrey-like conditioning rules, International Journal of General Systems, 2017
Han Deqiang, Li X R. Learning-based Modelized Combinatiton of Evidence, International Conference on Informatin Fusion, 2018
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| Zhang Shixing, Han Deqiang*, Dezert Jean, Yang Yi. Weighted Self-Paced Learning with Belief Functions, Expert Systems with Applications, 2024.
Yang Zhuo, Han Deqiang*, Yang Yi, Dezert Jean. A Dual-threshold Based Evidential Openmax Approach for Open Set Recognition, 27th International Conference on Information Fusion, July 2024, Italy.
Li Siyuan, Han Deqiang*, Dezert Jean, Yang Yi. Learning-based BBA modeling approach with multi-method fusion, 27th International Conference on Information Fusion, July 2024, Italy.
Li Wei, Han Deqiang*, Dezert Jean, Yang Yi. Multimodal Coordinated Representation Learning Based on Evidence Theory, 27th International Conference on Information Fusion , July 2024, Italy.
Zhou Xuben, Han Deqiang*.Intelligent Track Association Method Based on Deep and Composite Features, China Automation Congress, Qingdao, China, Nov., 2024.
Wang Xinyi, Han Deqiang*.Underwater Target Recognition Based on Multiple Classifier Systems, China Automation Congress, Qingdao, China, Nov., 2024.
张世醒, 韩德强*, 杨艺. Active learning based on belief functions, Science China - Information Sciences, 中国科学-信息科学(英文版), 2020 |
| Fan Xiaojing, Han Deqiang*, Yang Yi. Decombination of belief function based on optimization, Chinese Journal of Aeronautics, 2022 |
| Liang Shaoyi, Han Deqiang*, Yang Yi. Cluster validity index for irregular clustering results, Applied Soft Computing, 2020 |
| He Hongshun, Han Deqiang*, Dezert Jean. Disagreement based semi-supervised learning approaches with belief functions, Knowledge-based Systems, 2020 |