791 citations · 963 across the 16 of their papers we have counts for
7 papers · 1 filter
FedSiam: Towards Adaptive Federated Semi-Supervised Learning
Zewei Long, Liwei Che, Yaqing Wang +5
Federated learning (FL) has emerged as an effective technique to co-training machine learning models without actually sharing data and leaking privacy. However, most existing FL me…
Adaptive Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang, Subhabrata Mukherjee, Haoda Chu +4
Sequence labeling is an important technique employed for many Natural Language Processing (NLP) tasks, such as Named Entity Recognition (NER), slot tagging for dialog systems and s…
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning
Yaqing Wang, Fenglong Ma, Jing Gao
Recent advances in information extraction have motivated the automatic construction of huge Knowledge Graphs (KGs) by mining from large-scale text corpus. However, noisy facts are…
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion
Yaqing Wang, Quanming Yao, James T. Kwok
Matrix learning is at the core of many machine learning problems. A number of real-world applications such as collaborative filtering and text mining can be formulated as a low-ran…
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data
Yaqing Wang, Yifan Ethan Xu, Xian Li +2
Product catalogs are valuable resources for eCommerce website. In the catalog, a product is associated with multiple attributes whose values are short texts, such as product name,…
Decomposed Adversarial Learned Inference
Alexander Hanbo Li, Yaqing Wang, Changyou Chen +1
Effective inference for a generative adversarial model remains an important and challenging problem. We propose a novel approach, Decomposed Adversarial Learned Inference (DALI), w…