activity
20192023
most citedDolphin: A Spoken Language Proficiency Assessment System for Elementary Education

20 citations · 29 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Towards Arbitrary Text-driven Image Manipulation via Space Alignment

Yunpeng Bai, Zihan Zhong, Chao Dong +3

The recent GAN inversion methods have been able to successfully invert the real image input to the corresponding editable latent code in StyleGAN. By combining with the language-vi…

cs.CL2021

Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension

Shiting Xu, Guowei Xu, Peilei Jia +3

Task requirements (TRs) writing is an important question type in Key English Test and Preliminary English Test. A TR writing question may include multiple requirements and a high-q…

cs.CL2021

Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining

Guowei Xu, Wenbiao Ding, Weiping Fu +2

Many real-world applications involve the use of Optical Character Recognition (OCR) engines to transform handwritten images into transcripts on which downstream Natural Language Pr…

cs.LG2020

Representation Learning from Limited Educational Data with Crowdsourced Labels

Wentao Wang, Guowei Xu, Wenbiao Ding +4

Representation learning has been proven to play an important role in the unprecedented success of machine learning models in numerous tasks, such as machine translation, face recog…

cs.CL2019★ 20 cited

Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education

Wenbiao Ding, Guowei Xu, Tianqiao Liu +7

Spoken language proficiency is critically important for children's growth and personal development. Due to the limited and imbalanced educational resources in China, elementary stu…

cs.HC2019★ 9 cited

Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study

Guowei Xu, Wenbiao Ding, Jiliang Tang +3

Learning representation has been proven to be helpful in numerous machine learning tasks. The success of the majority of existing representation learning approaches often requires…