12 citations · 38 across the 7 of their papers we have counts for
7 papers
Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences
Rui Hao, Dianbo Liu, Linmei Hu
The merging of human intelligence and artificial intelligence has long been a subject of interest in both science fiction and academia. In this paper, we introduce a novel concept…
ChatLLM Network: More brains, More intelligence
Rui Hao, Linmei Hu, Weijian Qi +3
Dialogue-based language models mark a huge milestone in the field of artificial intelligence, by their impressive ability to interact with users, as well as a series of challenging…
Multimodal Matching-aware Co-attention Networks with Mutual Knowledge Distillation for Fake News Detection
Linmei Hu, Ziwang Zhao, Weijian Qi +2
Fake news often involves multimedia information such as text and image to mislead readers, proliferating and expanding its influence. Most existing fake news detection methods appl…
A Survey of Knowledge Enhanced Pre-trained Language Models
Linmei Hu, Zeyi Liu, Ziwang Zhao +3
Pre-trained Language Models (PLMs) which are trained on large text corpus via self-supervised learning method, have yielded promising performance on various tasks in Natural Langua…
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model
Xiaolin Chen, Xuemeng Song, Liqiang Jing +3
Text response generation for multimodal task-oriented dialog systems, which aims to generate the proper text response given the multimodal context, is an essential yet challenging…
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling
Linmei Hu, Chen Li, Chuan Shi +2
With the information explosion of news articles, personalized news recommendation has become important for users to quickly find news that they are interested in. Existing methods…
Relation Structure-Aware Heterogeneous Information Network Embedding
Yuanfu Lu, Chuan Shi, Linmei Hu +1
Heterogeneous information network (HIN) embedding aims to embed multiple types of nodes into a low-dimensional space. Although most existing HIN embedding methods consider heteroge…