activity
20192023
most citedKeep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication

4 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023★ 1 cited

A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis

Jingyi Zhou, Jie Zhou, Jiabao Zhao +5

Few-shot text classification has attracted great interest in both academia and industry due to the lack of labeled data in many fields. Different from general text classification (…

cs.CL2023

Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs

Siyuan Wang, Zhongyu Wei, Meng Han +4

Logical reasoning over incomplete knowledge graphs to answer complex logical queries is a challenging task. With the emergence of new entities and relations in constantly evolving…

cs.CV2021★ 1 cited

Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval

Zhihao Fan, Zhongyu Wei, Zejun Li +4

Existing research for image text retrieval mainly relies on sentence-level supervision to distinguish matched and mismatched sentences for a query image. However, semantic mismatch…

cs.CV2021★ 2 cited

TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning

Zhihao Fan, Zhongyu Wei, Siyuan Wang +4

Existing research for image captioning usually represents an image using a scene graph with low-level facts (objects and relations) and fails to capture the high-level semantics. I…

cs.CV2021★ 1 cited

An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information

Zejun Li, Zhongyu Wei, Zhihao Fan +2

In this paper, we focus on the problem of unsupervised image-sentence matching. Existing research explores to utilize document-level structural information to sample positive and n…

cs.CL2019★ 4 cited

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication

Ruize Wang, Zhongyu Wei, Ying Cheng +5

Visual storytelling aims to generate a narrative paragraph from a sequence of images automatically. Existing approaches construct text description independently for each image and…