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Han Qiu

4 papers hereh-index 4103 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV2
same name
  • Han Qiu — 23 papers, h 11
  • Han Qiu — 15 papers
  • Han Qiu — 9 papers, h 3
  • Han Qiu — 8 papers, h 7
  • Han Qiu — 8 papers, h 5
  • Han Qiu — 8 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedInterpreting Deep Learning Models in Natural Language Processing: A Review

25 citations · 52 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2021★ 25 cited

Interpreting Deep Learning Models in Natural Language Processing: A Review

Xiaofei Sun, Diyi Yang, Xiaoya Li +6

Neural network models have achieved state-of-the-art performances in a wide range of natural language processing (NLP) tasks. However, a long-standing criticism against neural netw…

cs.CL2021★ 4 cited

An MRC Framework for Semantic Role Labeling

Nan Wang, Jiwei Li, Yuxian Meng +5

Semantic Role Labeling (SRL) aims at recognizing the predicate-argument structure of a sentence and can be decomposed into two subtasks: predicate disambiguation and argument label…

cs.CV2020★ 11 cited

Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

Wenxuan Wang, Yanwei Fu, Qiang Sun +7

Affective computing and cognitive theory are widely used in modern human-computer interaction scenarios. Human faces, as the most prominent and easily accessible features, have att…

cs.CV2019★ 12 cited

A Fine-Grained Facial Expression Database for End-to-End Multi-Pose Facial Expression Recognition

Wenxuan Wang, Qiang Sun, Tao Chen +5

The recent research of facial expression recognition has made a lot of progress due to the development of deep learning technologies, but some typical challenging problems such as…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.