most citedMissing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow

Jiekai Wu, Rong Fu, Chuangqi Li +10

Remote sensing segmentation in real deployment is inherently continual: new semantic categories emerge, and acquisition conditions shift across seasons, cities, and sensors. Despit…

cs.CL2026

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering

Rong Fu, Yang Li, Zeyu Zhang +7

Large pretrained language models and neural reasoning systems have advanced many natural language tasks, yet they remain challenged by knowledge-intensive queries that require prec…

cs.LG2026

SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes

Rong Fu, Muge Qi, Yang Li +11

Repertoire-level analysis of T cell receptors offers a biologically grounded signal for disease detection and immune monitoring, yet practical deployment is impeded by label sparsi…

cs.IR2026

LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation

Rong Fu, Zijian Zhang, Haiyun Wei +9

The continuous expansion of digital learning environments has catalyzed the demand for intelligent systems capable of providing personalized educational content. While current exer…

cs.CL20261 cited

Missing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis

Rong Fu, Ziming Wang, Chunlei Meng +5

As multimodal systems increasingly process sensitive personal data, the ability to selectively revoke specific data modalities has become a critical requirement for privacy complia…

cs.CV2026

DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles

Rong Fu, Jiekai Wu, Haiyun Wei +5

The emergence of 3D Gaussian Splatting has fundamentally redefined the capabilities of photorealistic neural rendering by enabling high-throughput synthesis of complex environments…