activity
20242026
most citedMasked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning

10 citations · 10 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

PACER: Progressive Availability-Conditioned Evidence Routing for Radiology Report Generation under Incomplete Clinical Context

Yulong Chen, Yadong Liu, Haoyu Cao +3

Radiology report generation (RRG) increasingly incorporates heterogeneous clinical evidence, such as multi-view radiographs and previous reports, whose availability varies across e…

cs.LG2025

Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training

Xiaoling Luo, Peng Chen, Chengliang Liu +4

Multimodal protein features play a crucial role in protein function prediction. However, these features encompass a wide range of information, ranging from structural data and sequ…

cs.CR2025

SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models

Yulong Chen, Qi Zhang, Jiawen Zhang +4

Large Language Models (LLMs) remain vulnerable to jailbreak attacks, where adversarially crafted prompts induce policy-violating responses despite safety alignment. Existing defens…

cs.CV2025

Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought

Chao Huang, Benfeng Wang, Jie Wen +4

Recent advancements in reasoning capability of Multimodal Large Language Models (MLLMs) demonstrate its effectiveness in tackling complex visual tasks. However, existing MLLM-based…

cs.CV2024★ 10 cited

Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning

Chengliang Liu, Jie Wen, Yabo Liu +4

Multi-view learning has become a popular research topic in recent years, but research on the cross-application of classic multi-label classification and multi-view learning is stil…