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researcher

Hanqi Yan

King's College London

30 papers hereh-index 13563 citations39 works total

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

author position
  • first author7
  • middle author19
  • last author1

Across the 27 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CL21
  • cs.IR4
  • cs.LG2
  • cs.AI1
  • cs.CV1
  • cs.HC1
affiliations
  • King's College London
Homepage
same name
  • Hanqi Yan — 2 papers, h 1

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
20212026
most citedPosition Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction

4 citations · 16 across the 29 of their papers we have counts for

collaborators
Showing cs.IRShow all

4 papers · 1 filter

cs.IR2026

GRAFT: Graph-Distilled Generative Retrieval for Facet-Aware Scientific Literature Exploration

Italo Luis da Silva, Hanqi Yan, Yujing Wang +3

Scientific papers may relate by problem, method, result, or contribution, but document-level retrievers collapse these into a single similarity score without saying why they are re…

cs.IR2025

GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery

Italo Luis da Silva, Hanqi Yan, Lin Gui +1

Large Language Models (LLMs) show strong reasoning and text generation capabilities, prompting their use in scientific literature analysis, including novelty assessment. While eval…

cs.IR2023

Explainable Recommender with Geometric Information Bottleneck

Hanqi Yan, Lin Gui, Menghan Wang +2

Explainable recommender systems can explain their recommendation decisions, enhancing user trust in the systems. Most explainable recommender systems either rely on human-annotated…

cs.IR2023

Tracking Brand-Associated Polarity-Bearing Topics in User Reviews

Runcong Zhao, Lin Gui, Hanqi Yan +1

Monitoring online customer reviews is important for business organisations to measure customer satisfaction and better manage their reputations. In this paper, we propose a novel d…

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