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

1 citations · 1 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

MotionCraft: Latent World Modeling with Sparse Attention for Visual Upscaling

Rong Fu, Chunlei Meng, Yangchen Zeng +9

Video super-resolution (VSR) aims to recover high-fidelity high-resolution videos from low-resolution inputs and is central to applications ranging from mobile capture to streaming…

cs.CV2026

Do Vision Models Truly Forget? New Findings from Representation-Level Certification of Visual Unlearning in Vertical Federated Learning

Zhenyu Yu, Yangchen Zeng, Chunlei Meng +2

Machine unlearning in Vertical Federated Learning (VFL) has attracted growing interest, yet existing methods certify forgetting solely using output-level metrics. We challenge thes…

cs.CV2026

SpaMEM: Benchmarking Dynamic Spatial Reasoning via Perception-Memory Integration in Embodied Environments

Chih-Ting Liao, Xi Xiao, Chunlei Meng +6

Multimodal large language models (MLLMs) have advanced static visual--spatial reasoning, yet they often fail to preserve long-horizon spatial coherence in embodied settings where b…

cs.CV2026

CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models

Xiang Chen, Fangfang Yang, Chunlei Meng +6

Medical vision--language models (MVLMs) are increasingly used as perceptual backbones in radiology pipelines and as the visual front end of multimodal assistants, yet their reliabi…

cs.LG2026

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation

Rong Fu, Chunlei Meng, Shuo Yin +2

Graph neural networks frequently encounter significant performance degradation when confronted with structural noise or non-homophilous topologies. To address these systemic vulner…

cs.CL2026★ 1 cited

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

Rong Fu, Ziming Wang, Chunlei Meng +4

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.IR2026

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search

Rong Fu, Jia Yee Tan, Chunlei Meng +4

As the burgeoning power requirements of sophisticated neural architectures escalate, the information retrieval community has recognized ecological sustainability as a pivotal prior…

cs.LG2026

NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces

Rong Fu, Chunlei Meng, Haoyu Zhao +4

The pursuit of optimal trade-offs in high-dimensional search spaces under stringent computational constraints poses a fundamental challenge for contemporary multi-objective optimiz…

cs.LG2026

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

Rong Fu, Yang Li, Yabin Jin +3

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.CV2026

DIVER: Dynamic Iterative Visual Evidence Reasoning for Multimodal Fake News Detection

Weilin Zhou, Zonghao Ying, Chunlei Meng +6

Multimodal fake news detection is crucial for mitigating adversarial misinformation. Existing methods, relying on static fusion or LLMs, face computational redundancy and hallucina…

cs.CV2025

Adversarial Robustness for Unified Multi-Modal Encoders via Efficient Calibration

Chih-Ting Liao, Zhangquan Chen, Chunlei Meng +3

Recent unified multi-modal encoders align a wide range of modalities into a shared representation space, enabling diverse cross-modal tasks. Despite their impressive capabilities,…