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Ke Yang

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV2
ORCID 0000-0002-1870-1134
same name
  • Ke Yang — 17 papers, h 30
  • Ke Yang — 16 papers, h 21
  • Ke Yang — 6 papers, h 10
  • Ke Yang — 5 papers
  • Ke Yang — 4 papers
  • Ke Yang — 4 papers, h 11

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 citedPVP: Pre-trained Visual Parameter-Efficient Tuning

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 2 cited

Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog

Fanqi Wan, Weizhou Shen, Ke Yang +2

Retrieving proper domain knowledge from an external database lies at the heart of end-to-end task-oriented dialog systems to generate informative responses. Most existing systems b…

cs.CV2023★ 3 cited

PVP: Pre-trained Visual Parameter-Efficient Tuning

Zhao Song, Ke Yang, Naiyang Guan +3

Large-scale pre-trained transformers have demonstrated remarkable success in various computer vision tasks. However, it is still highly challenging to fully fine-tune these models…

cs.CL2023

Generic Dependency Modeling for Multi-Party Conversation

Weizhou Shen, Xiaojun Quan, Ke Yang

To model the dependencies between utterances in multi-party conversations, we propose a simple and generic framework based on the dependency parsing results of utterances. Particul…

cs.CV2023

Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration

Peng Qiao, Sidun Liu, Tao Sun +2

The great success of Deep Neural Networks (DNNs) has inspired the algorithmic development of DNN-based Fixed-Point (DNN-FP) for computer vision tasks. DNN-FP methods, trained by Ba…

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