Search Results for author:
Found 6 papers, 2 papers with code
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement
However, these works have the following limitations in modeling the high-order relationships over unlabeled data: (i) They primarily focus on maximizing the agreements among individual node embeddings while neglecting the capture of group-wise collective behaviors within hypergraphs; (ii) Most of them disregard the importance of the temperature index in discriminating contrastive pairs during contrast optimization.
Hypergraph Contrastive Learning for Drug Trafficking Community Detection
To this end, we propose a novel HyperGraph Contrastive Learning framework called HyGCL-DC that employs hypergraph to model the higher-order relationships among users to detect Drug trafficking Communities.
Ranked #1 on
Community Detection
on Twitter-HyDrug
Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction
However, integrating LLMs into existing quantitative models presents two primary challenges: the insufficient utilization of semantic information embedded within LLMs and the difficulties in aligning the latent information within LLMs with pre-existing quantitative stock features.
ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification
Based on these two common practices, the key point of ProD is using the prompting mechanism in the transformer to disentangle the domain-general (DG) and domain-specific (DS) knowledge from the backbone feature.
Visual-speech Synthesis of Exaggerated Corrective Feedback
To provide more discriminative feedback for the second language (L2) learners to better identify their mispronunciation, we propose a method for exaggerated visual-speech feedback in computer-assisted pronunciation training (CAPT).
Dialogue Design and Management for Multi-Session Casual Conversation with Older Adults
We address the problem of designing a conversational avatar capable of a sequence of casual conversations with older adults.
