1. Thesis Title: Research on Stable Prediction Method of Bearing Remaining Service Life Based on Contrastive Learning
 Presenter: Qian Lei
 Advisor: Associate Professor Xu Juan
  
 2. Thesis Title: Research on Composite Fault Diagnosis Method of Bearings Based on Generative Zero-shot Learning
 Presenter: Li Kang
 Advisor: Associate Professor Xu Juan
  
 3. Thesis Title: Research on Optimization Method of Temporal and Spatial Efficiency of Text Classification Model Based on Fourier Transform
 Presenter: Zhuo Tianyu
 Advisor: Associate Professor Xue Lixia
  
 4. Thesis Title: Research on Composite Fault Diagnosis Method of Bearings Based on Zero-shot Semantic Embedding
 Presenter: Liang Shaokang
 Advisor: Associate Professor Xu Juan
  
 5. Thesis Title: Video Spatio-temporal Representation Learning under Self-supervised Networks
 Presenter: Shan Dongfeng
 Advisor: Associate Professor Wu Kewei
  
 6. Thesis Title: Weakly Supervised Temporal Action Localization for Confusing Segments Analysis
 Presenter: Luo Wenjie
 Advisor: Associate Professor Wu Kewei
  
 7. Thesis Title: Research on Semantically Enhanced Event Detection Based on Graph Convolutional Networks
 Presenter: Sun Chencheng
 Advisor: Professor Wu Gongqing
  
 8. Thesis Title: Research on Bearing Remaining Service Life Prediction Method Based on Domain Generalization
 Presenter: Duan Shiyu
 Advisor: Associate Professor Xu Juan
  
 Defense Committee Composition:
  
 Chair: Zhang Yanping, Professor, School of Computer Science and Technology, Anhui University
 Members: Mu Bin, Senior Engineer, Hefei Qiansheng Electronic Technology Co., Ltd.
          Fang Shuai, Professor, School of Computer and Information, Hefei University of Technology
          Yao Hongliang, Associate Professor, School of Computer and Information, Hefei University of Technology
          Ma Xuesen, Associate Professor, School of Computer and Information, Hefei University of Technology
  
 Secretary: Li Zhipeng, School of Computer and Information, Hefei University of Technology
  
 Date: June 3, 2023 (Saturday) at 2:00 PM
  
 Location: Science and Education Building A1602