1.人工智能

机器学习（无监督学习、半监督学习、集成学习）、深度学习

2.数据挖掘

大数据分析、数据融合

3.多视图/多模态学习

表征学习

4.知识学习/图学习

知识图谱、流形学习

• 学术论文成果网页:

(1) Google学术：

https://scholar.google.com/citations?hl=zh-CN&user=SRooaboAAAAJ

一、论文(一作或通信作者)

1. Ping Deng, Tianrui Li, Dexian Wang, Hongjun Wang, Hong Peng, Shi-Jinn Horng. Multi-view clustering guided by unconstrained non-negative matrix factorization[J]. Knowledge-Based Systems, 2023, 266: 110425. (SCI，中科院一区，CCF C 类期刊)

2. Ping Deng, Tianrui Li, Hongjun Wang, Dexian Wang, Shi-Jinn Horng, Rui Liu. Graph regularized sparse non-negative matrix factorization for clustering[J]. IEEE Transactions on Computational Social Systems, 2022. (SCI，中科院二区，CCF C类期刊)

3. Ping Deng, Fan Zhang, Tianrui Li, Hongjun Wang, Shi-Jinn Horng. Biased unconstrained non-negative matrix factorization for clustering[J]. Knowledge-Based Systems, 2022, 239: 108040. (SCI，中科院一区，CCF C类期刊)

4. Ping Deng, Tianrui Li, Hongjun Wang, Shi-Jinn Horng, Zeng Yu, Xiaomin Wang. Tri-regularized nonnegative matrix tri-factorization for co-clustering[J]. Knowledge-Based Systems, 2021, 226: 107101. (SCI，中科院一区，CCF C类期刊)

5. Ping Deng, Hongjun Wang, Tianrui Li, Shi-Jinn Horng, Xinwen Zhu. Linear discriminant analysis guided by unsupervised ensemble learning[J]. Information Sciences, 2019, 480: 211-221. (SCI，中科院一区，CCF B类期刊)

6. Ping Deng, Hongjun Wang, Shi-Jinn Horng, Dexian Wang, Ji Zhang, Hengxue Zhou. Softmax regression by using unsupervised ensemble learning[C]//2018 9th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP). IEEE, 2018: 196-201.（EI会议）

二、合作论文

1. Tingsong Ma, Zengxi Huang, Nijing Yang, Changyu Zhu, Ping Deng. Automatic label assignment object detection mehtod on only one feature map[J]. Machine Vision and Applications, 2024, 35(1): 2. (SCI，中科院四区)

2. Dexian Wang, Tianrui Li, Ping Deng, Fan Zhang, Wei Huang, Pengfei Zhang, Jia Liu. A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization[J]. ACM Transactions on Knowledge Discovery from Data, 2023, 17(7): 1-20. (SCI，中科院三区，CCF B类期刊)

3. Dexian Wang, Tianrui Li, Wei Huang, Zhipeng Luo,Ping Deng, Pengfei Zhang, Minbo Ma. A multi-view clustering algorithm based on deep semi-NMF[J]. Information Fusion, 2023: 101884. (SCI，中科院一区)

4. Wei Chen, Hongjun Wang, Yinghui Zhang, Ping Deng, Zhipeng Luo, Tianrui Li. T-distributed Stochastic Neighbor Embedding for Co-Representation Learning[J]. ACM Transactions on Intelligent Systems and Technology, 2023. (SCI，中科院四区)

5. Dexian Wang, Tianrui Li, Ping Deng, Jia Liu, Wei Huang, Fan Zhang. A generalized deep learning algorithm based on nmf for multi-view clustering[J]. IEEE Transactions on Big Data, 2022, 9(1): 328-340. (SCI，中科院二区)

6. Dexian Wang, Tianrui Li, Ping Deng, Hongjun Wang, Pengfei Zhang. Dual graph-regularized sparse concept factorization for clustering[J]. Information Sciences, 2022, 607: 1074-1088. (SCI，中科院一区，CCF B类期刊)

7. Wenlu Yang, Yinghui Zhang, Hongjun Wang, Ping Deng, Tianrui Li. Hybrid genetic model for clustering ensemble[J]. Knowledge-Based Systems, 2021, 231: 107457. (SCI，中科院一区，CCF C类期刊)

8. Yanping Wu, Yinghui Zhang, Hongjun Wang, Ping Deng, Tianrui Li. Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints[J]. Information Sciences, 2021, 556: 111-17. (SCI，中科院一区，CCF B类期刊)

9. Ji Zhang, Hongjun Wang, Shudong Huang, Tianrun Li, Peng Jin, Ping Deng, Qigang Zhao. Co-adjustment learning for co-clustering[J]. Cognitive Computation, 2021, 13: 504-517.( (SCI，中科院二区)

三、科研项目

1. 四川省科技厅，2023JDRC0087，“基于深度强化学习的多目标计算卸载与多跳卸载传输机制研究”，参与。

2. 校人才引进项目，RX2300000824，不完整多视图数据的表征学习研究，主持。

3. 国家重点研发计划，2019YFB2101801，“国家中心城市数据管控与知识萃取技术和系统应用”课题——城市知识模型体系与推理评估，2019/12-2022/11，参与。

四、专利

1. 李天瑞，王德贤，黄维，刘佳，邓萍。一种基于多时间粒度的知识动态演化的城市地铁流量预测方法，专利号：ZL202111337540.5，已授权

数据挖掘

Web全栈开发

1、四川省计算机学会自然语言处理专业委员会，委员

2、中国人工智能学会会员