I was born and raised in Luoyang. Luoyang is located in Henan province, China, and is known for its rich history, including being the ancient capital of multiple dynasties, and its cultural treasures such as the Longmen Grottoes and White Horse Temple. I’m looking forward to seeing you in my hometown.

Education

I am doing my Master’s at Huazhong University of Science and Technology (HUST), and affiliated with Laboratory of Digital Media Processing and Retrieval (DML). I received bachelor’s degree in Huazhong University of Science and Technology (HUST) in 2021. Before that I studied at YanShi senior middle school HeNan province.

I am preparing to apply for a PHD and looking for further studies starting from fall 2024.

Research Interests

My research primarily revolves around the application of Deep Learning in Computer Vision, with a specific focus on the domains of robustness, weakly supervised and the utilization of diffusion models. Extensive investigations have been conducted to develop deep learning models that exhibit robustness and resilience in handling various challenges encountered in computer vision tasks, including occlusion, noise, and adversarial attacks. In the future, I am committed to improving visual content generation and open-world recognition algorithms, aiming to improve their robustness and enhance their ability to handle real-world data.

I am broadly interested in computer vision, visual synthesis, medical image analysis,and algorithm robustness.

Publication & Manuscripts

• Semantic-Guided Weakly Supervised Image Splicing Localization
  Jiale Cai, Hang Zhou, YuTeng Ye, Junqing Yu, Wei Yang.
  AAAI 2024, IN PREPARATION (all experiments have been completed): Submitting to the Association for the Advancement of Artificial Intelligence (AAAI), 2024
  

• Temporal Differences and Semantic Guided Patch Diffusion Model for Video Anomaly Detection
  Hang Zhou, Jiale Cai, YuTeng Ye, Junqing Yu, Wei Yang.
  AAAI 2024, IN PREPARATION (all experiments have been completed): Submitting to the Association for the Advancement of Artificial Intelligence (AAAI), 2024
  

• Semantics and Relationship-Guided Diffusion Model for Progressive Image Generation
  YuTeng Ye, Jiale Cai, Hang Zhou, Junqing Yu, Wei Yang.
  CVPR 2024, IN PREPARATION (all experiments have been completed): Submitting to the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  

• Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
  YuTeng Ye, Hang Zhou, Junqing Yu, Jiale Cai, Chenxing Gao, Youjia Zhang, Junle Wang, Qiang Hu, Wei Yang.
  TCSVT, IN PREPARATION (all experiments have been completed): Submitting to the IEEE Transactions on Circuits and Systems for Video Technology(TCSVT).
  

• Attacking Transformers with Feature Diversity Adversarial Perturbation
  Chenxing Gao, Hang Zhou, Junqing Yu, YuTeng ye, Jiale Cai, Junle Wang, Wei Yang.
  AAAI 2024, IN PREPARATION (all experiments have been completed): Submitting to the Association for the Advancement of Artificial Intelligence (AAAI), 2024
  

Miscellaneous Experience

Awards:

• Merit Postgraduate of HUST
• First-class Scholarship for Postgraduates of HUST
• Outstanding graduate of HUST

Certification:

• The National College English Test Band Four Certificate
• The National College English Test Band Six Certificate

Skills

• Codings: Pytorch, C, C++, Python, SQL, Markdown, HTML
• Misc.: Academic research, LATEX typesetting and publishing