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Jing Yang

4 papers hereh-index 343 citations6 works total

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

author position
  • first author3
  • last author1

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

fields
  • cs.CV3
  • cs.CL1
same name
  • Jing Yang — 31 papers, h 12
  • Jing Yang — 21 papers, h 26
  • Jing Yang — 21 papers, h 8
  • Jing Yang — 11 papers, h 9
  • Jing Yang — 11 papers, h 6
  • Jing Yang — 10 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

most citedKnowledge Distillation Meets Open-Set Semi-Supervised Learning

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

collaborators

4 papers

cs.CV2026

Text-Phase Synergy Network with Dual Priors for Unsupervised Cross-Domain Image Retrieval

Jing Yang, Hui Xue, Shipeng Zhu +1

This paper studies unsupervised cross-domain image retrieval (UCDIR), which aims to retrieve images of the same category across different domains without relying on labeled data. E…

cs.CL2022★ 1 cited

Unified BERT for Few-shot Natural Language Understanding

Junyu Lu, Ping Yang, Ruyi Gan +2

Even as pre-trained language models share a semantic encoder, natural language understanding suffers from a diversity of output schemas. In this paper, we propose UBERT, a unified…

cs.CV2022★ 3 cited

Knowledge Distillation Meets Open-Set Semi-Supervised Learning

Jing Yang, Xiatian Zhu, Adrian Bulat +2

Existing knowledge distillation methods mostly focus on distillation of teacher's prediction and intermediate activation. However, the structured representation, which arguably is…

cs.CV2022

Transformer-based Cross-Modal Recipe Embeddings with Large Batch Training

Jing Yang, Junwen Chen, Keiji Yanai

In this paper, we present a cross-modal recipe retrieval framework, Transformer-based Network for Large Batch Training (TNLBT), which is inspired by ACME~(Adversarial Cross-Modal E…

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