activity
20192023
most citedAdaptive Period Embedding for Representing Oriented Objects in Aerial Images

90 citations · 99 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Retrieval-Based Transformer for Table Augmentation

Michael Glass, Xueqing Wu, Ankita Rajaram Naik +2

Data preparation, also called data wrangling, is considered one of the most expensive and time-consuming steps when performing analytics or building machine learning models. Prepar…

cs.CL2023

OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking

Xueqing Wu, Sha Li, Heng Ji

Open-vocabulary state tracking is a more practical version of state tracking that aims to track state changes of entities throughout a process without restricting the state space a…

cs.CL2021★ 2 cited

Text-to-Table: A New Way of Information Extraction

Xueqing Wu, Jiacheng Zhang, Hang Li

We study a new problem setting of information extraction (IE), referred to as text-to-table. In text-to-table, given a text, one creates a table or several tables expressing the ma…

cs.CL2020★ 7 cited

Temporally Correlated Task Scheduling for Sequence Learning

Xueqing Wu, Lewen Wang, Yingce Xia +5

Sequence learning has attracted much research attention from the machine learning community in recent years. In many applications, a sequence learning task is usually associated wi…

cs.CV2019★ 90 cited

Adaptive Period Embedding for Representing Oriented Objects in Aerial Images

Yixing Zhu, Xueqing Wu, Jun Du

We propose a novel method for representing oriented objects in aerial images named Adaptive Period Embedding (APE). While traditional object detection methods represent object with…