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Jingjing Li

12 papers hereh-index 262.7k citations88 works total

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

author position
  • first author2
  • middle author10

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.IR1
  • cs.LG1
  • cs.MM1
  • cs.RO1
  • eess.SP1
same name
  • Jingjing Li — 27 papers, h 43
  • Jingjing Li — 21 papers, h 7
  • Jingjing Li — 13 papers, h 11
  • Jingjing Li — 11 papers, h 9
  • Jingjing Li — 9 papers, h 2
  • Jingjing Li — 6 papers, h 2

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
20192026
most citedMaximum Density Divergence for Domain Adaptation

343 citations · 373 across the 11 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

Domain Adaptive Semantic Segmentation without Source Data

Fuming You, Jingjing Li, Lei Zhu +3

Domain adaptive semantic segmentation is recognized as a promising technique to alleviate the domain shift between the labeled source domain and the unlabeled target domain in many…

cs.MM2021★ 3 cited

Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval

Hui Cui, Lei Zhu, Jingjing Li +2

Hashing learns compact binary codes to store and retrieve massive data efficiently. Particularly, unsupervised deep hashing is supported by powerful deep neural networks and has th…

eess.SP2021

Adversarial Energy Disaggregation for Non-intrusive Load Monitoring

Zhekai Du, Jingjing Li, Lei Zhu +2

Energy disaggregation, also known as non-intrusive load monitoring (NILM), challenges the problem of separating the whole-home electricity usage into appliance-specific individual…

cs.CV2021★ 10 cited

Semantics Disentangling for Generalized Zero-Shot Learning

Zhi Chen, Yadan Luo, Ruihong Qiu +4

Generalized zero-shot learning (GZSL) aims to classify samples under the assumption that some classes are not observable during training. To bridge the gap between the seen and uns…

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