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researcher

Philip S. Yu

4 papers here

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

author position
  • last author3

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

fields
  • cs.CL3
  • cs.LG1
same name
  • Philip S. Yu — 219 papers, h 168
  • Philip S. Yu — 117 papers
  • Philip S. Yu — 36 papers
  • Philip S. Yu — 19 papers
  • Philip S. Yu — 16 papers
  • Philip S. Yu — 10 papers

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 citedAdaptive and Robust DBSCAN with Multi-agent Reinforcement Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025

Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation

Kun Peng, Cong Cao, Hao Peng +5

Current Emotion Recognition in Conversation (ERC) research follows a closed-domain assumption. However, there is no clear consensus on emotion classification in psychology, which p…

cs.CL2025

Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning

Kun Peng, Cong Cao, Hao Peng +5

Dialogues Aspect-based Sentiment Quadruple Extraction (DiaASQ) aims to extract all target-aspect-opinion-sentiment quadruples from a given multi-round, multi-participant dialogue.…

cs.CL2025

T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction

Kun Peng, Chaodong Tong, Cong Cao +6

Aspect sentiment triplet extraction (ASTE) aims to extract triplets composed of aspect terms, opinion terms, and sentiment polarities from given sentences. The table tagging method…

cs.LG2025★ 1 cited

Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning

Hao Peng, Xiang Huang, Shuo Sun +2

DBSCAN, a well-known density-based clustering algorithm, has gained widespread popularity and usage due to its effectiveness in identifying clusters of arbitrary shapes and handlin…

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