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

1 citations · 2 across the 12 of their papers we have counts for

collaborators

12 papers

cs.LG2026★ 1 cited

ModalImmune: Immunity Driven Unlearning via Self Destructive Training

Rong Fu, WeiZhi Tang, Ziming Wang +6

Multimodal systems are vulnerable to partial or complete loss of input channels at deployment, which undermines reliability in real-world settings. This paper presents ModalImmune,…

cs.CV2026

DeepSVU: Towards In-depth Security-oriented Video Understanding via Unified Physical-world Regularized MoE

Yujie Jin, Wenxin Zhang, Jingjing Wang +1

In the literature, prior research on Security-oriented Video Understanding (SVU) has predominantly focused on detecting and localize the threats (e.g., shootings, robberies) in vid…

cs.CV2026

CityGuard: Graph-Aware Private Descriptors for Bias-Resilient Identity Search Across Urban Cameras

Rong Fu, Yibo Meng, Rui Lu +2

City-scale person re-identification across distributed cameras must handle severe appearance changes from viewpoint, occlusion, and domain shift while complying with data protectio…

cs.LG2026

SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework

Rong Fu, Zijian Zhang, Kun Liu +3

Comparative analysis of adaptive immune repertoires at population scale is hampered by two practical bottlenecks: the near-quadratic cost of pairwise affinity evaluations and datas…

cs.MM2026

Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection

Rong Fu, Ziming Wang, Shuo Yin +3

Emotional expression underpins natural communication and effective human-computer interaction. We present Emotion Collider (EC-Net), a hyperbolic hypergraph framework for multimoda…

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.CV2026

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

Rong Fu, Jiekai Wu, Yang Li +3

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

cs.NI2026

Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence

Rong Fu, Xiaowen Ma, Kun Liu +8

Deploying expressive learning models directly on programmable dataplanes promises line-rate, low-latency traffic analysis but remains hindered by strict hardware constraints and th…

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.CR2026

zkCraft: Prompt-Guided LLM as a Zero-Shot Mutation Pattern Oracle for TCCT-Powered ZK Fuzzing

Rong Fu, Jia Yee Tan, Ziyu Kong +5

Zero-knowledge circuits enable privacy-preserving and scalable systems but are difficult to implement correctly due to the tight coupling between witness computation and circuit co…