Water-soluble hexagonal BaAl2O4 as sacrificial layer for freestanding crystalline membranes and flexible devices
Mengcheng Li, Chao Lu, Yuqian Wang, Haoyang Cheng et autres
cn (code pays fourni par la source)
4 citations
Nature Materials
Na Li
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6Publications signalées
11Citations signalées
3Affiliations récentes
Les institutions déclarées
Les domaines associés
Face and Expression RecognitionRecommender Systems and TechniquesAdvanced Graph Neural NetworksDomain Adaptation and Few-Shot LearningExplainable Artificial Intelligence (XAI)
Les publications récentes
Antibiotic resistance genes against “last-resort” antibiotics within the One Health framework: Dissemination, mechanisms, and AI-driven opportunities
Yining Wu, Lin Zhu, Na Li, Chuze Lu et autres
cn (code pays fourni par la source)
7 citations
Journal of Hazardous Materials
Spectral Ghost in Representation Learning: from Component Analysis to Self-Supervised Learning
Bo Dai, Na Li, Dale Schuurmans
Self-supervised learning (SSL) has improved empirical performance by unleashing the power of unlabeled data for practical applications. Specifically, SSL extracts the representation from massive unlabeled data, which will be transferred to a plenty of down streaming tasks with limited data. The significant …
0 citations
arXiv (Cornell University)
Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
Na Li, Jiaqi Yu, Minzhi Xie, Tiantian He et autres
Short-video recommender systems typically optimize ranking models using dense user behavioral signals, such as clicks and watch time. However, these signals are only indirect proxies of user satisfaction and often suffer from noise and bias. Recently, explicit satisfaction feedback collected through questionnaires …
0 citations
arXiv (Cornell University)
Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
Na Li, Jiaqi Yu, Minzhi Xie, Tiantian He et autres
Short-video recommender systems typically optimize ranking models using dense user behavioral signals, such as clicks and watch time. However, these signals are only indirect proxies of user satisfaction and often suffer from noise and bias. Recently, explicit satisfaction feedback collected through questionnaires …
0 citations
arXiv (Cornell University)
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