4 citations · 4 across the 22 of their papers we have counts for
9 papers · 1 filter
WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detection
Xian Li, Yuanhe Tian, Yang Yang +2
Online social media posts provide scalable signals for early depression screening, and recent studies mainly improve pre-classification evidence through risk-post selection, sympto…
Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting
Chen Su, Yuanhe Tian, Yan Song
Diffusion models have become a widely used framework for probabilistic time series forecasting, modeling the distribution of future values given an observed history. In time series…
SURGE: An Event-Centric Social Media Sentiment Time Series Benchmark with Interaction Structure
Chen Su, Pengsen Cheng, Yuanhe Tian +1
Public events on social media generate large volumes of discussion whose collective dynamics carry direct value for opinion forecasting and crisis response. Capturing how these dyn…
GrandGuard: Taxonomy, Benchmark, and Safeguards for Elderly-Chatbot Interaction Safety
Changxuan Fan, Xi Yang, Yueyuan Zheng +9
As older adults increasingly use LLM-based chatbots for companionship and assistance, a safety gap is emerging. Older adults may face vulnerabilities from social isolation, limited…
Learning Shared Sentiment Prototypes for Adaptive Multimodal Sentiment Analysis
Chen Su, Yuanhe Tian, Yan Song
Multimodal sentiment analysis (MSA) aims to predict human sentiment from textual, acoustic, and visual information in videos. Recent studies improve multimodal fusion by modeling m…
Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation
Xiyang Zhang, Yuanhe Tian, Hongzhi Wang +1
Fine-tuning large language models (LLMs) for specialized domains often necessitates a trade-off between acquiring domain expertise and retaining general reasoning capabilities, a p…
LEAD: Layer-wise Expert-aligned Decoding for Faithful Radiology Report Generation
Ruixiao Yang, Yuanhe Tian, Xu Yang +3
Radiology Report Generation aims to produce accurate and coherent diagnostics from medical images. Although large vision-language models improve report fluency and accuracy, they s…
Fine-grained Verbal Attack Detection via a Hierarchical Divide-and-Conquer Framework
Quan Zheng, Yuanhe Tian, Ming Wang +1
In the digital era, effective identification and analysis of verbal attacks are essential for maintaining online civility and ensuring social security. However, existing research i…
Explainable Multimodal Aspect-Based Sentiment Analysis with Dependency-guided Large Language Model
Zhongzheng Wang, Yuanhe Tian, Hongzhi Wang +1
Multimodal aspect-based sentiment analysis (MABSA) aims to identify aspect-level sentiments by jointly modeling textual and visual information, which is essential for fine-grained…