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Dianbo Sui

Institute of Automation, Chinese Academy of Sciences

4 papers hereh-index 11791 citations21 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CL3
  • cs.AI1
affiliations
  • Institute of Automation, Chinese Academy of Sciences
same name
  • Dianbo Sui — 20 papers, h 6
  • Dianbo Sui — 4 papers, h 6

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 Guided Metric Learning for Few-Shot Text Classification

4 citations · 6 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2025★ 2 cited

Large Language Models for Planning: A Comprehensive and Systematic Survey

Pengfei Cao, Tianyi Men, Wencan Liu +7

Planning represents a fundamental capability of intelligent agents, requiring comprehensive environmental understanding, rigorous logical reasoning, and effective sequential decisi…

cs.CL2020

Joint Entity and Relation Extraction with Set Prediction Networks

Dianbo Sui, Yubo Chen, Kang Liu +3

The joint entity and relation extraction task aims to extract all relational triples from a sentence. In essence, the relational triples contained in a sentence are unordered. Howe…

cs.CL2020

Distantly Supervised Relation Extraction in Federated Settings

Dianbo Sui, Yubo Chen, Kang Liu +1

This paper investigates distantly supervised relation extraction in federated settings. Previous studies focus on distant supervision under the assumption of centralized training,…

cs.CL2020★ 4 cited

Knowledge Guided Metric Learning for Few-Shot Text Classification

Dianbo Sui, Yubo Chen, Binjie Mao +3

The training of deep-learning-based text classification models relies heavily on a huge amount of annotation data, which is difficult to obtain. When the labeled data is scarce, mo…

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