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L. Jing

18 papers hereh-index 344.2k citations149 works total

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

author position
  • first author1
  • middle author6
  • last author10

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.CV4
  • cs.LG4
  • cs.SD1
same name
  • L. Jing — 15 papers, h 15
  • L. Jing — 6 papers, h 15
  • L. Jing — 6 papers, h 10
  • L. Jing — 6 papers, h 15
  • L. Jing — 2 papers, h 8
  • L. Jing — 2 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
20162023
most citedProbing BERT in Hyperbolic Spaces

19 citations · 73 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CL2022★ 1 cited

Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification

Lin Xiao, Pengyu Xu, Liping Jing +1

Multi-label text classification (MLTC) is one of the key tasks in natural language processing. It aims to assign multiple target labels to one document. Due to the uneven popularit…

cs.LG2022

Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning

Zhengwei Fang, Rui Wang, Tao Huang +1

Strong adversarial examples are crucial for evaluating and enhancing the robustness of deep neural networks. However, the performance of popular attacks is usually sensitive, for i…

cs.CL2022

Hyperbolic Relevance Matching for Neural Keyphrase Extraction

Mingyang Song, Yi Feng, Liping Jing

Keyphrase extraction is a fundamental task in natural language processing and information retrieval that aims to extract a set of phrases with important information from a source d…

cs.CV2022★ 3 cited

Learning Target-aware Representation for Visual Tracking via Informative Interactions

Mingzhe Guo, Zhipeng Zhang, Heng Fan +4

We introduce a novel backbone architecture to improve target-perception ability of feature representation for tracking. Specifically, having observed that de facto frameworks perfo…

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