activity
20192023
most citedAutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

69 citations · 93 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 13 cited

Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?

Kai Sun, Yifan Ethan Xu, Hanwen Zha +2

Since the recent prosperity of Large Language Models (LLMs), there have been interleaved discussions regarding how to reduce hallucinations from LLM responses, how to increase the…

cs.SI2022★ 2 cited

PGE: Robust Product Graph Embedding Learning for Error Detection

Kewei Cheng, Xian Li, Yifan Ethan Xu +2

Although product graphs (PGs) have gained increasing attentions in recent years for their successful applications in product search and recommendations, the extensive power of PGs…

cs.DB2021★ 1 cited

Efficiently Answering Durability Prediction Queries

Junyang Gao, Yifan Xu, Pankaj K. Agarwal +1

We consider a class of queries called durability prediction queries that arise commonly in predictive analytics, where we use a given predictive model to answer questions about pos…

cs.AI2020★ 69 cited

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Xin Luna Dong, Xiang He, Andrey Kan +19

Can one build a knowledge graph (KG) for all products in the world? Knowledge graphs have firmly established themselves as valuable sources of information for search and question a…

cs.CL2020★ 3 cited

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,…

cs.DB2019★ 5 cited

Efficient Knowledge Graph Accuracy Evaluation

Junyang Gao, Xian Li, Yifan Ethan Xu +3

Estimation of the accuracy of a large-scale knowledge graph (KG) often requires humans to annotate samples from the graph. How to obtain statistically meaningful estimates for accu…

stat.CO2019

LISA: a MATLAB package for Longitudinal Image Sequence Analysis

Jang Ik Cho, Xiaofeng Wang, Yifan Xu +1

Large sequences of images (or movies) can now be obtained on an unprecedented scale, which poses fundamental challenges to the existing image analysis techniques. The challenges in…