Article In: orcid
IEEE Transactions on Applied Superconductivity
Conference
DOES SUPERPIXEL QUALITY MATTER FOR RELIABLE CITIZEN SCIENCE DATA?
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2026)
Tropical forests are essential to global environmental balance; however, in recent decades, these biomes have suffered increasing losses due to deforestation, for example, in the Brazil- ian Legal Amazon (BLA). In this context, the ForestEyes Project, which combines citizen science (CS) and machine …
Conference
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization
International Conference on Pattern Recognition 2026
The proliferation of deep learning solutions and the scarcity of large annotated datasets pose significant challenges in real-world appli- cations. Various strategies have been explored to overcome this challenge, with data augmentation (DA) approaches emerging as prominent solu- tions. DA approache…
Conference
Reliability-Aware Citizen Science for Environmental Machine Learning
International Conference on Pattern Recognition 2026
Citizen science (CS) campaigns based on crowdsourcing pro- vide scalable labeled data for applications such as environmental moni- toring, but volunteer-generated annotations often suffer from noise and inconsistencies. Prior work has proposed statistical filtering techniques, including outlier dete…
Article In: orcid
Coordination Chemistry Reviews
Article In: orcid
IEEE Transactions on Applied Superconductivity
Master's Thesis
Real-Time Industrial Surface Defect Detection Based on Lightweight Deep Learning Network
— 2026
Industrial surface defect detection often requires both accurate localization and high inference speed, especially in real-time inspection systems.This thesis focuses on lightweight detection for small-scale industrial defects and weak-texture defects.These defects are often difficult to disting…
Master's Thesis
— 2026
The growing complexity of EV charging and V2G operations challenges distribution networks. Controllers must meet user and station needs while avoiding overload and voltage violations. In federated learning, poisoning attacks via manipulated updates threaten the global model. This thesis studies tar…
Master's Thesis
Deep Reinforcement Learning-Based Electric Vehicle Charging Recommendation
— 2026
Electric vehicle (EV) charging stations often experience uneven utilization due to continuous vehicle arrivals, limited charging capacity, and uncoordinated charging decisions. Such imbalances can lead to excessive waiting times, increased charging failures, and reduced service efficiency. To addres…
Master's Thesis
Source and composition of aerosol elements in Shanghai: Evidence from long-term hourly Xact dataset
— 2026
Trace elements in ambient particles influence tropospheric chemistry, climate, and human health. This study investigates the spatiotemporal evolution and health implications of PM₂.₅-bound metals in Shanghai, a coastal megacity. High-time-resolution elemental data collected at two representative sit…
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