Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Combinatorial Chemistry & High Throughput Screening|February 23, 2023
Metabonomics Application on Screening Serum Biomarkers of Golden Hamsters with Nonalcoholic Steatohepatitis Induced by High-Fat DietJingjing Hu, Yueliang Shen, Yunwen Chen
Neural Networks : the Official Journal of the International Neural Network Society|July 31, 2025
Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendationXiuze Li, Zhenhua Huang, Changdong Wang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 10, 2025
Data-free knowledge distillation via text-noise fusion and dynamic adversarial temperatureDeheng Zeng, Zhengyang Wu, Yunwen Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 16, 2024
Fine-Grained Learning Behavior-Oriented Knowledge Distillation for Graph Neural NetworksKang Liu, Zhenhua Huang, Chang-Dong Wang, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 13, 2022
Feature Map Distillation of Thin Nets for Low-Resolution Object RecognitionZhenhua Huang, Shunzhi Yang, MengChu Zhou, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 18, 2024
A Multi-Level Relation-Aware Transformer model for occluded person re-identificationGuorong Lin, Zhiqiang Bao, Zhenhua Huang, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|September 21, 2017
Clinical value of the VTIQ technology in the differential diagnosis of superficially enlarged lymph nodesZhifei Ben, Shanshan Gao, Wenjing Wu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 21, 2023
Teacher-student complementary sample contrastive distillationZhiqiang Bao, Zhenhua Huang, Jianping Gou, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 11, 2026
Multiple interpretation ensemble distillation for graph neural networksKang Liu, Yuqi Zhang, Shunzhi Yang, et al.
Pageof 2