collaborators

6 papers

cs.CV2026

SkinCLIP-VL: Consistency-Aware Vision-Language Learning for Multimodal Skin Cancer Diagnosis

Zhixiang Lu, Shijie Xu, Kaicheng Yan +6

The deployment of vision-language models (VLMs) in dermatology is hindered by the trilemma of high computational costs, extreme data scarcity, and the black-box nature of deep lear…

cs.CL2026

SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia

Zhixiang Lu, Chong Zhang, Yulong Li +5

The vision of an inclusive World Wide Web is impeded by a severe linguistic divide, particularly for communities in low-resource regions of Southeast Asia. While large language mod…

cs.LG2026

DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening

Zhixiang Lu, Yulong Li, Feilong Tang +5

Large-scale tuberculosis (TB) screening is limited by the high cost and operational complexity of traditional diagnostics, creating a need for artificial-intelligence solutions. We…

cs.CL2025

PRISM: A Personality-Driven Multi-Agent Framework for Social Media Simulation

Zhixiang Lu, Xueyuan Deng, Yiran Liu +4

Traditional agent-based models (ABMs) of opinion dynamics often fail to capture the psychological heterogeneity driving online polarization due to simplistic homogeneity assumption…

cs.CV2025

Towards Robust Visual Continual Learning with Multi-Prototype Supervision

Xiwei Liu, Yulong Li, Yichen Li +4

Language-guided supervision, which utilizes a frozen semantic target from a Pretrained Language Model (PLM), has emerged as a promising paradigm for visual Continual Learning (CL).…

cs.LG2025

Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities

Yanxi Luo, Shijin Wang, Zhongxing Xu +3

Multimodal sentiment analysis (MSA) aims to understand human sentiment through multimodal data. In real-world scenarios, practical factors often lead to uncertain modality missingn…