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Ming Gao

15 papers hereh-index 10445 citations23 works total

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

author position
  • middle author2
  • last author12

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.LG2
  • cs.SE2
  • cs.CR1
  • cs.CV1
same name
  • Ming Gao — 13 papers, h 18
  • Ming Gao — 12 papers, h 6
  • Ming Gao — 10 papers, h 5
  • Ming Gao — 7 papers, h 6
  • Ming Gao — 7 papers, h 5
  • Ming Gao — 5 papers, h 14

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
20212023
most citedYou Can Backdoor Personalized Federated Learning

14 citations · 42 across the 15 of their papers we have counts for

collaborators
Showing 2022 · cs.CLShow all

3 papers · 2 filters

cs.CL2022★ 2 cited

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition

Jianing Wang, Chengcheng Han, Chengyu Wang +5

Few-shot Named Entity Recognition (NER) aims to identify named entities with very little annotated data. Previous methods solve this problem based on token-wise classification, whi…

cs.CL2022

Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding

Jianing Wang, Wenkang Huang, Qiuhui Shi +4

Knowledge-enhanced Pre-trained Language Model (PLM) has recently received significant attention, which aims to incorporate factual knowledge into PLMs. However, most existing metho…

cs.CL2022★ 3 cited

Towards Unified Prompt Tuning for Few-shot Text Classification

Jianing Wang, Chengyu Wang, Fuli Luo +6

Prompt-based fine-tuning has boosted the performance of Pre-trained Language Models (PLMs) on few-shot text classification by employing task-specific prompts. Yet, PLMs are unfamil…

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