huqinghua@tju.edu.cn
计算机应用技术
国家****、国家重点研发首席科学家、国家优秀青年科学基金获得者、教育部新世纪人才、天津市131人才第一层次、天津大学北洋青年****、天津市中青年科技创新领军人才
教授
多模态数据知识发现

---

中文言语语义结构体系构建及言语深度理解

---

面向大数据的粒计算理论与方法

---

林火概率预测预报系统

---

面向大数据机器学习的不确定性建模理论与方法

---

基于大数据挖掘技术的空间环境事件预报模式构建

---

不确定性人工智能

---

基于边缘智能协同的物联终端系统与应用

---

基于多模态信息的言语行为识别
基于噪声模型支持向量回归技术的短期风速预报方法

---

一种基于深度神经网络的风速预报系统

---

基于beta噪声核岭回归技术的短期风速预报方法
基于噪声模型支持向量回归技术的短期风速预报方法

---

一种基于深度神经网络的风速预报系统

---

基于beta噪声核岭回归技术的短期风速预报方法
Coupled Dictionary Learning for Unsupervised Feature Selection

---

Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification

---

Wind Power Curve Modeling With Asymmetric Error Distribution

---

Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification

---

Moving Object Detection in Video via Hierarchical Modeling and Alternating Optimization

---

Weighted Graph Embedding-Based Metric Learning for Kinship Verification

---

Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets

---

Semisupervised Online Multikernel Similarity Learning for Image Retrieval

---

Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification

---

Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence

---

Multi-label feature selection based on neighborhood mutual information.

---

Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition

---

Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and Sparse Group LASSO

---

Improved support vector machine algorithm for heterogeneous dataOriginal

---

Exploiting diversity for optimizing margin distribution in ensemble learning

---

Fuzzy rough regression with application to wind speed prediction

---

Noise model based v-support vector regression with its application to short-term wind speed forecasting

---

Multi-granularity distance metric learning via neighborhood granule margin maximization

---

Exploration of classification confidence in ensemble learning

---

Fuzzy preference based rough sets

---

Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization

---

Kernelized Fuzzy Rough Sets and Their Applications

---

Feature Selection for Monotonic Classification

---

On Robust Fuzzy Rough Set Models

---

Rank Entropy-Based Decision Trees for Monotonic Classification

---

Neighborhood rough set based heterogeneous feature subset selection

---

Soft fuzzy rough sets for robust feature evaluation and selection