8 citations · 26 across the 20 of their papers we have counts for
20 papers
BIO-MEMART: Biometric-Aware KV Cache Memory for Multi-User LLM Agents
Yanhong Qian, Xuanying He, Qingguo Meng +3
KV cache is evolving from a serving optimization into an external memory substrate for long-term LLM agents. In a shared multi-user deployment, however, reusable KV blocks introduc…
Personalizing LLM Agent Memory Using Biometrics
Yanhong Qian, Qingguo Meng, Shihao Ding +4
Personalized memory helps LLM agents deliver stable, tailored assistance by storing and reusing user-specific data across interactions. In multi-user scenarios, however, retrieval…
Shared Vulnerabilities in Robustness-Optimized Defenses: One Breach Exposes the Family
Hanrui Wang, Ruihao Zheng, Shuo Wang +3
Adversarial robustness optimization aims to preserve correct prediction under adversarial perturbations, and has produced substantial robustness gains through methods such as adver…
EventFace: Event-Based Face Recognition via Structure-Driven Spatiotemporal Modeling
Qingguo Meng, Xingbo Dong, Zhe Jin +1
Event cameras offer a promising sensing modality for face recognition due to their inherent advantages in illumination robustness and privacy-friendliness. However, because event s…
Auto-US: An Ultrasound Video Diagnosis Agent Using Video Classification Framework and LLMs
Yuezhe Yang, Yiyue Guo, Wenjie Cai +5
AI-assisted ultrasound video diagnosis presents new opportunities to enhance the efficiency and accuracy of medical imaging analysis. However, existing research remains limited in…
UltraGS: Real-Time Physically-Decoupled Gaussian Splatting for Ultrasound Novel View Synthesis
Yuezhe Yang, Qingqing Ruan, Wenjie Cai +5
Ultrasound imaging is a cornerstone of non-invasive clinical diagnostics, yet its limited field of view poses challenges for novel view synthesis. We present UltraGS, a real-time f…
EvRWKV: A Continuous Interactive RWKV Framework for Effective Event-Guided Low-Light Image Enhancement
Wenjie Cai, Qingguo Meng, Zhenyu Wang +2
Event cameras offer significant potential for Low-light Image Enhancement (LLIE), yet existing fusion approaches are constrained by a fundamental dilemma: early fusion struggles wi…
Representation Paradigms in AI-based 3D Radiological Image Reconstruction: A Systematic Review
Yuezhe Yang, Lei Bi, Boyu Yang +6
The demand for high-quality medical imaging in clinical practice and assisted diagnosis has made 3D image reconstruction in radiological imaging a key research focus. Artificial in…
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
Xingguo Lv, Xingbo Dong, Liwen Wang +5
Despite domain generalization (DG) has significantly addressed the performance degradation of pre-trained models caused by domain shifts, it often falls short in real-world deploym…
WiFaKey: Generating Cryptographic Keys from Face in the Wild
Xingbo Dong, Hui Zhang, Yen Lung Lai +4
Deriving a unique cryptographic key from biometric measurements is a challenging task due to the existing noise gap between the biometric measurements and error correction coding.…
Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
Yoon Gyo Jung, Jaewoo Park, Xingbo Dong +3
Understanding the vulnerability of face recognition systems to malicious attacks is of critical importance. Previous works have focused on reconstructing face images that can penet…
IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer
Yuhang Qiu, Honghui Chen, Xingbo Dong +4
Determining dense feature points on fingerprints used in constructing deep fixed-length representations for accurate matching, particularly at the pixel level, is of significant in…
On the Computational Entanglement of Distant Features in Adversarial Machine Learning
YenLung Lai, Xingbo Dong, Zhe Jin
In this research, we introduce the concept of "computational entanglement," a phenomenon observed in overparameterized feedforward linear networks that enables the network to achie…
Reconstruct Face from Features Using GAN Generator as a Distribution Constraint
Xingbo Dong, Zhihui Miao, Lan Ma +4
Face recognition based on the deep convolutional neural networks (CNN) shows superior accuracy performance attributed to the high discriminative features extracted. Yet, the securi…
Abandoning the Bayer-Filter to See in the Dark
Xingbo Dong, Wanyan Xu, Zhihui Miao +6
Low-light image enhancement - a pervasive but challenging problem, plays a central role in enhancing the visibility of an image captured in a poor illumination environment. Due to…
A Generalized Approach for Cancellable Template and Its Realization for Minutia Cylinder-Code
Xingbo Dong, Zhe Jin, KokSheik Wong
Hashing technology gains much attention in protecting the biometric template lately. For instance, Index-of-Max (IoM), a recent reported hashing technique, is a ranking-based local…
Multi-spectral Facial Landmark Detection
Jin Keong, Xingbo Dong, Zhe Jin +2
Thermal face image analysis is favorable for certain circumstances. For example, illumination-sensitive applications, like nighttime surveillance; and privacy-preserving demanded a…
Interpretable security analysis of cancellable biometrics using constrained-optimized similarity-based attack
Hanrui Wang, Xingbo Dong, Zhe Jin +2
In cancellable biometrics (CB) schemes, template security is achieved by applying, mainly non-linear, transformations to the biometric template. The transformation is designed to p…
On the Risk of Cancelable Biometrics
Xingbo Dong, Jaewoo Park, Zhe Jin +3
Cancelable biometrics (CB) employs an irreversible transformation to convert the biometric features into transformed templates while preserving the relative distance between two te…
A Genetic Algorithm Enabled Similarity-Based Attack on Cancellable Biometrics
Xingbo Dong, Zhe Jin, Andrew Teoh Beng Jin
Cancellable biometrics (CB) as a means for biometric template protection approach refers to an irreversible yet similarity preserving transformation on the original template. With…