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Haoxiang Shi

4 papers here

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • cs.CL1
  • cs.IR1
  • cs.MM1
  • cs.SD1
ORCID 0009-0002-9204-0351
same name
  • Haoxiang Shi — 1 paper, h 7
  • Haoxiang Shi — 1 paper

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
20222024
most citedGOAL: Towards Benchmarking Few-Shot Sports Game Summarization

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

collaborators

4 papers

cs.MM2024

Emotional Cues Extraction and Fusion for Multi-modal Emotion Prediction and Recognition in Conversation

Haoxiang Shi, Ziqi Liang, Jun Yu

Emotion Prediction in Conversation (EPC) aims to forecast the emotions of forthcoming utterances by utilizing preceding dialogues. Previous EPC approaches relied on simple context…

cs.SD2024

EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech

Ziqi Liang, Haoxiang Shi, Jiawei Wang +1

Recently, deep learning-based Text-to-Speech (TTS) systems have achieved high-quality speech synthesis results. Recurrent neural networks have become a standard modeling technique…

cs.IR2023

Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval

Haoxiang Shi, Sumio Fujita, Tetsuya Sakai

Domain transfer is a prevalent challenge in modern neural Information Retrieval (IR). To overcome this problem, previous research has utilized domain-specific manual annotations an…

cs.CL2022★ 4 cited

GOAL: Towards Benchmarking Few-Shot Sports Game Summarization

Jiaan Wang, Tingyi Zhang, Haoxiang Shi

Sports game summarization aims to generate sports news based on real-time commentaries. The task has attracted wide research attention but is still under-explored probably due to t…

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