14 citations · 28 across the 5 of their papers we have counts for
5 papers
An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space
Cun Mu, Binwei Yang, Zheng Yan
In this paper, we compare the performances of FAISS and FENSHSES on nearest neighbor search in Hamming space--a fundamental task with ubiquitous applications in nowadays eCommerce.…
Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines
Cun Mu, Jun Zhao, Guang Yang +2
A growing interest has been witnessed recently from both academia and industry in building nearest neighbor search (NNS) solutions on top of full-text search engines. Compared with…
A Machine Learning Approach to Shipping Box Design
Guang Yang, Cun Mu
Having the right assortment of shipping boxes in the fulfillment warehouse to pack and ship customer's online orders is an indispensable and integral part of nowadays eCommerce bus…
Towards Practical Visual Search Engine within Elasticsearch
Cun Mu, Jun Zhao, Guang Yang +2
In this paper, we describe our end-to-end content-based image retrieval system built upon Elasticsearch, a well-known and popular textual search engine. As far as we know, this is…
Revisiting Skip-Gram Negative Sampling Model with Rectification
Cun Mu, Guang Yang, Zheng Yan
We revisit skip-gram negative sampling (SGNS), one of the most popular neural-network based approaches to learning distributed word representation. We first point out the ambiguity…