Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < 0.01) via user-intent contrastive learning that mines interest-centric image signals.

LAMDA-SSL toolkit delivers the first unified benchmarks and robust algorithms that safely exploit unlabeled data despite label, feature and distribution mismatches, beating vanilla supervised baselines in open-world SSL.

RetinaDA unites six public fundus sets into a 512 × 512 macula-centered benchmark with built-in domain gaps, enabling vessel-segmentation models to generalize across devices without extra annotation cost.

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Spacer isomerization engineering is proposed to regulate double-cable conjugated polymers, providing a new approach to optimize molecular packing and enhance the performance of single-component organic solar cells with excellent stability.

Sweet potato is a globally important food crop with rich nutritional value, widely used in food processing, feed production, and the pharmaceutical industry. Hainan Province in China has a history of sweet potato cultivation spanning over 300 years and has long been one of the major sweet potato-producing areas in southern China.

As the global population continues to grow, climate change intensifies, and agricultural resources become increasingly scarce, traditional agricultural production models are facing unprecedented challenges. It is predicted that by 2050, global food production will need to increase by 70% to meet demand. Against this backdrop, “Agriculture 4.0” has gradually emerged, with embedded technologies such as the Internet of Things (IoT), artificial intelligence (AI), unmanned aerial vehicles (UAVs), and robotics widely applied in precision agriculture to improve production efficiency and sustainability.