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Master's Thesis Defense Announcement 27

Release time:2023-05-31 clicks:

1. Thesis Title: Research on Heuristic Algorithm for Semantic Structure Understanding of Spreadsheets

Candidate: Chen Hao

Supervisor: Professor Wu Xindong

 

2. Thesis Title: Research on Transformer-based Speech Synthesis Method

Candidate: Han Chao

Supervisor: Associate Professor Wu Kewei

 

3. Thesis Title: Research on Anomaly Behavior Detection Based on Spatio-Temporal Features

Candidate: Li Wenzhong

Supervisor: Associate Professor Wu Kewei

 

4. Thesis Title: Research on Event Detection Based on Syntactic Dependency Tree and Graph Neural Networks

Candidate: Lu Zhenya

Supervisor: Professor Wu Gongqing

 

5. Thesis Title: Research on Truth Inference Based on Multi-source Crowdsourcing Relationship Graph Embedding

Candidate: Zhuo Xingrui

Supervisor: Professor Wu Gongqing

 

6. Thesis Title: Research on Human Behavior Classification Based on Graph Neural Networks

Candidate: Yao Shang

Supervisor: Associate Professor Wei Satellite

 

7. Thesis Title: Research on Bone Age Assessment Method Based on Deep Learning

Candidate: Fan Wei

Supervisor: Associate Professor Wang Xiaohua

 

8. Thesis Title: Research on Dispatching Problem of Damaged Road Network Repair Team Based on Evolutionary Computation

Candidate: Duan Lianqi

Supervisor: Associate Professor Su Zhaopin

 

Composition of the Defense Committee:

 

Chair: Lin Xiaobin, Senior Engineer, Research Institute No. 38, China Electronics Technology Group Corporation

 

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

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

Fang Baofu, Associate Professor, School of Computer and Information Science, Hefei University of Technology

Yu Ye, Associate Professor, School of Computer and Information Science, Hefei University of Technology

 

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

 

Time: June 3, 2023 (Saturday) 14:00

 

Location: Science and Education Building A1106

 

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