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Mingsheng Long

41 papers hereh-index 6734.5k citations110 works total

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

author position
  • first author8
  • middle author25
  • last author7

Across the 40 of 41 papers where every author was matched, so the position is known.

fields
  • cs.LG25
  • cs.CV13
  • cond-mat.mes-hall2
  • cs.IR1
same name
  • Mingsheng Long — 70 papers, h 35
  • Mingsheng Long — 10 papers, h 5
  • Mingsheng Long — 2 papers
  • Mingsheng Long — 1 paper, h 3
  • Mingsheng Long — 1 paper, h 12

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
20152026
most citedLearning Transferable Features with Deep Adaptation Networks

2.8k citations · 7.4k across the 41 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CV2016★ 16 cited

Transitive Hashing Network for Heterogeneous Multimedia Retrieval

Zhangjie Cao, Mingsheng Long, Qiang Yang

Hashing has been widely applied to large-scale multimedia retrieval due to the storage and retrieval efficiency. Cross-modal hashing enables efficient retrieval from database of on…

cs.LG2016★ 114 cited

Deep Transfer Learning with Joint Adaptation Networks

Mingsheng Long, Han Zhu, Jianmin Wang +1

Deep networks have been successfully applied to learn transferable features for adapting models from a source domain to a different target domain. In this paper, we present joint a…

cs.CV2016★ 17 cited

Correlation Hashing Network for Efficient Cross-Modal Retrieval

Yue Cao, Mingsheng Long, Jianmin Wang +1

Hashing is widely applied to approximate nearest neighbor search for large-scale multimodal retrieval with storage and computation efficiency. Cross-modal hashing improves the qual…

cs.LG2016★ 1.2k cited

Unsupervised Domain Adaptation with Residual Transfer Networks

Mingsheng Long, Han Zhu, Jianmin Wang +1

The recent success of deep neural networks relies on massive amounts of labeled data. For a target task where labeled data is unavailable, domain adaptation can transfer a learner…

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