16 citations · 45 across the 12 of their papers we have counts for
12 papers
LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval
Yingrui Yang, Parker Carlson, Yifan Qiao +3
This paper studies fast fusion of dense retrieval and sparse lexical retrieval, and proposes a cluster-based selective dense retrieval method called CluSD guided by sparse lexical…
Weighted KL-Divergence for Document Ranking Model Refinement
Yingrui Yang, Yifan Qiao, Shanxiu He +1
Transformer-based retrieval and reranking models for text document search are often refined through knowledge distillation together with contrastive learning. A tight distribution…
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights
Yifan Qiao, Shanxiu He, Yingrui Yang +2
This paper revisits cluster-based retrieval that partitions the inverted index into multiple groups and skips the index partially at cluster and document levels during online infer…
Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval
Yifan Qiao, Yingrui Yang, Shanxiu He +1
Learned sparse document representations using a transformer-based neural model has been found to be attractive in both relevance effectiveness and time efficiency. This paper descr…
Optimizing Guided Traversal for Fast Learned Sparse Retrieval
Yifan Qiao, Yingrui Yang, Haixin Lin +1
Recent studies show that BM25-driven dynamic index skipping can greatly accelerate MaxScore-based document retrieval based on the learned sparse representation derived by DeepImpac…
Dual Skipping Guidance for Document Retrieval with Learned Sparse Representations
Yifan Qiao, Yingrui Yang, Haixin Lin +3
This paper proposes a dual skipping guidance scheme with hybrid scoring to accelerate document retrieval that uses learned sparse representations while still delivering a good rele…
Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking
Yingrui Yang, Yifan Qiao, Tao Yang
Transformer based re-ranking models can achieve high search relevance through context-aware soft matching of query tokens with document tokens. To alleviate runtime complexity of s…
Composite Re-Ranking for Efficient Document Search with BERT
Yingrui Yang, Yifan Qiao, Jinjin Shao +3
Although considerable efforts have been devoted to transformer-based ranking models for document search, the relevance-efficiency tradeoff remains a critical problem for ad-hoc ran…
Efficient vaccination strategies for epidemic control using network information
Yingrui Yang, Ashley McKhann, Sixing Chen +2
Network-based interventions against epidemic spread are most powerful when the full network structure is known. However, in practice, resource constraints require decisions to be m…
Semiparametric Methods for Exposure Misclassification in Propensity Score-Based Time-to-Event Data Analysis
Yingrui Yang, Molin Wang
In epidemiology, identifying the effect of exposure variables in relation to a time-to-event outcome is a classical research area of practical importance. Incorporating propensity…
Ranking in Genealogy: Search Results Fusion at Ancestry
Peng Jiang, Yingrui Yang, Gann Bierner +3
Genealogy research is the study of family history using available resources such as historical records. Ancestry provides its customers with one of the world's largest online genea…
Efficient vaccination strategies for epidemic control using network information
Yingrui Yang, Ashley McKhann, Guy Harling +1
Background: Network-based interventions are most powerful against epidemics when the full network structure is known. However, resource constraints often require decisions based on…