💻 Research Experience

Hyperspectral Anomaly Detection

2023.01 - 2023.06

Supervisor: Prof. Yongyong Chen(陈勇勇)

• Introduced a novel method for Hyperspectral Anomaly Detection using Multimodal Low-Rank Tensor Representation (MLTR), and improved the accuracy and generalization capabilities of HAD by employing a low-rank representation of multi-modal tensors.
• Outperformed previous methods on ten datasets and achieved a higher AUC, including the SanDiego dataset. Reduced the running time by approximately 20% compared to TLRSR.
• The paper is submitted to IEEE Geoscience and Remote Sensing Letters.

Next-POI Recommendation

2022.09 - 2023.04

Supervisor: Prof. Shanshan Feng(冯山山)

• Thoroughly reviewed all the papers, and successfully replicated the code from groundbreaking studies on Next-POI, published in 2021 and 2022. Gaining a basic understanding of the Next-POI field.
• Actively contributed to research group meetings, presenting relevant articles and sharing my insights, fostering a collaborative learning environment. Engaged in constructive discussions within the research group regarding potential enhancements to these models.