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Master's Thesis Defense Announcement 26

Release time:2023-05-31 clicks:

1. Thesis Title: Research on Image Semantic Segmentation Method Based on Multi-scale Self-attention and Deep Feature Fusion

Candidate: Huang Zhiyi

Supervisor: Yang Juan, Lecturer


2. Thesis Title: Research on Semantic Segmentation Method Based on Deep Learning

Candidate: Yang Yin

Supervisor: Yang Juan, Lecturer

 

3. Thesis Title: Research on Extraction of Causal Relationships in the Health Domain Based on Deconfounding

Candidate: Xiong Hao

Supervisor: Yang Jiaoyun, Associate Professor

 

4. Thesis Title: Research on Sampling Boundary Estimation under Distribution Constraints

Candidate: Ren Zhenyu

Supervisor: Yang Jiaoyun, Associate Professor

 

5. Thesis Title: Behavior Recognition Based on Differential Motion Encoding

Candidate: Chen Jiansong

Supervisor: Xie Zhao, Associate Researcher

 

6. Thesis Title: Group Behavior Recognition Based on Interaction Relation Graph Network

Candidate: Jiao Chang

Supervisor: Xie Zhao, Associate Researcher

 

7. Thesis Title: Research on Graph Neural Network Recommendation Algorithm Based on Knowledge Graph

Candidate: Wang Ru

Supervisor: Wu Xindong, Professor

 

8. Thesis Title: Research on Knowledge Completion Method for Genealogy Knowledge Graph

Candidate: Chen Ru

Supervisor: Wu Xindong, Professor

 

Composition of the Defense Committee:

 

Chair: Gu Lichuan, Professor, School of Information and Computer Science, Anhui Agricultural University

 

Members: Lin Xiaobin, Senior Engineer, 38th Research Institute, China Electronics Technology Group Corporation

 

Li Jianhua, Associate Researcher, School of Computer and Information, Hefei University of Technology

Xu Juan, Associate Professor, School of Computer and Information, Hefei University of Technology

Wu Kewei, Associate Professor, School of Computer and Information, Hefei University of Technology

 

Secretary: Liu Shiguo, School of Computer and Information, Hefei University of Technology

 

Time: June 3, 2023 (Saturday) 8:30 AM

 

Location: Science and Education Building A1106

 

 

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