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Xiaojun Quan

27 papers hereh-index 426.2k citations155 works total

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

author position
  • middle author22
  • last author5

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

fields
  • cs.CL23
  • cs.SI2
  • cs.CV1
  • cs.LG1
same name
  • Xiaojun Quan — 19 papers, h 10
  • Xiaojun Quan — 10 papers, h 7
  • Xiaojun Quan — 5 papers, h 3

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
20192023
most citedGL-RG: Global-Local Representation Granularity for Video Captioning

55 citations · 208 across the 27 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021

Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory

Yunhao Li, Yunyi Yang, Xiaojun Quan +1

Dialogue policy learning, a subtask that determines the content of system response generation and then the degree of task completion, is essential for task-oriented dialogue system…

cs.CL2021★ 6 cited

Psycholinguistic Tripartite Graph Network for Personality Detection

Tao Yang, Feifan Yang, Haolan Ouyang +1

Most of the recent work on personality detection from online posts adopts multifarious deep neural networks to represent the posts and builds predictive models in a data-driven man…

cs.CL2021★ 1 cited

Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene

Ruikun Luo, Guanhuan Huang, Xiaojun Quan

The major paradigm of applying a pre-trained language model to downstream tasks is to fine-tune it on labeled task data, which often suffers instability and low performance when th…

cs.CL2021★ 14 cited

Directed Acyclic Graph Network for Conversational Emotion Recognition

Weizhou Shen, Siyue Wu, Yunyi Yang +1

The modeling of conversational context plays a vital role in emotion recognition from conversation (ERC). In this paper, we put forward a novel idea of encoding the utterances with…

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