Congratulations to Huang Zhiyi on her successful graduation!

Huang Zhiyi graduated from Capital Normal University and began her academic master’s degree in the School of Computer Engineering and Science at Shanghai University in 2023. After joining the research group, she studied agricultural object detection technologies and applications under the guidance of Professor Han Yuexing, Professor Chen Qiaochuan, and other teachers. With their careful guidance, she completed the following research:

1. To address the difficulty of locating and detecting multi-scale, occluded, and dense fruits with existing models in complex agricultural scenes, an agricultural fruit object detection method based on collaborative attention and hierarchical self-distillation is proposed. Through a multi-scale feature fusion reweighting module, a collaborative attention decoder, and a hierarchical self-distillation strategy, the method effectively improves localization robustness for multi-scale, occluded, and overlapping targets in complex scenes. Experimental results show that the proposed method outperforms existing methods in both detection accuracy and stability under complex environments, providing an effective solution for automated fruit production and harvesting.

2. To address the insufficient feature diversity and model adaptability in agricultural fruit maturity detection, an agricultural fruit object detection method based on a dynamic sparse mixture-of-experts mechanism is designed. By introducing a high-frequency detail enhancement module, a dynamic sparse mixture-of-experts decoder, and load-balancing and expert-diversity loss functions, the method enhances the model’s adaptability to complex illumination and environmental changes while maintaining expert diversity. Experimental results show that this method can effectively improve the accurate recognition of fruits at different maturity stages.

After graduation, Huang Zhiyi joined SMIC. During her three years of master’s study at Shanghai University, Huang Zhiyi studied diligently and actively engaged in scientific research. In the face of difficulties, she always maintained an optimistic attitude and strong perseverance, demonstrating solid independent research ability and sharp innovative thinking. We hope Huang Zhiyi will keep her original aspiration, fear no storms, and move steadily toward a bright future.

Essay: Research on Agricultural Fruit Object Detection Methods Based on Self-Distillation and Mixture-of-Experts Mechanism

Code: https://github.com/han-yuexing/2026-thesis-hzy-code