Heterogeneous Side Information Fusion for Recommender Systems（基于异构网络融合模型的推荐系统） ---- ---- 作者：Huan Zhao,Quanming
Ensemble Learning for Knowledge Graph EmbeddingLing Yue (Tsinghua University), Yongqi Zhang(4 paradigm), Quanming
用于任意形状文本检测的深度关系推理图网络 用于场景文本识别的高效骨干搜索 论文名称：Efficient Backbone Search for Scene Text Recognition 作者：Zhang Hui /Yao Quanming
Propagation for Graph Neural Network based Knowledge Graph Reasoning 作者：Yongqi Zhang, Zhanke Zhou, Quanming
to Modulate for User Cold-Start Recommendation Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Quanming
论文 4：A Survey of Label-noise Representation Learning: Past, Present and Future 作者：Bo Han、Quanming Yao
机器之心发布 作者：Quanming Yao ，Ju Xu，Wei-Wei Tu，Zhanxing Zhu 神经架构搜索一直被认为是高算力的代表，尽管可微架构搜索的概念非常吸引人，但它目前的效率与效果仍然不尽人意
2020年香港科技大学和第四范式的paper“Generalizing from a Few Examples: A Survey on Few-Shot Learning“，YAQING WANG, QUANMING
论文 3：Searching to Exploit Memorization Effect in Learning with Noisy Labels 作者：Quanming Yao、Hansi Yang
论文 2：Generalizing from a Few Examples: A Survey on Few-Shot Learning 作者：YAQING WANG、QUANMING YAO、JAMES
论文 7：Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding 作者：Yongqi Zhang、Quanming
论文 2：AutoSTR: Efficient Backbone Search for Scene Text Recognition 作者：Hui Zhang、Quanming Yao、Mingkun
论文 4：Efficient Neural Architecture Search via Proximal Iterations 作者：Quanming Yao，Ju Xu，Wei-Wei Tu，
mp.weixin.qq.com/s/X4gqgpr16eON1AA-qwL-Lg 07 本周论文推荐 Few-shot Learning: A Survey（小样本学习） 作者：Yaqing Wang,Quanming
for User Cold-Start Recommendation Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming
Springer, 302– 317. [13] Huan Zhao, Lanning Wei, and Quanming Yao. 2020.
标题：TabGNN：用于表格数据预测的多重图神经网络 链接：https://arxiv.org/abs/2108.09127 作者：Xiawei Guo,Yuhan Quan,Huan Zhao,Quanming
Optimization 标题：LOSAC：一种高效的联邦优化局部随机平均控制方法 链接：https://arxiv.org/abs/2112.07839 作者：Huiming Chen,Huandong Wang,Quanming
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