9 citations · 9 across the 12 of their papers we have counts for
12 papers
MotionQ: Operator-Conditioned Motion Quotients for Cross-Observation WiFi Gesture Recognition
Xiang Zhang, Huan Yan, Geying Yang +4
WiFi gesture recognition is accurate in fixed deployments but often degrades when user orientation, available links, or transceiver placement changes. Unlike ordinary domain shifts…
AirKey: Multimodal Acoustic-Assisted WiFi Sensing for Zero-Training Robust PIN Inference
BaiChuan Wu, Bin Liu, Xiang Zhang +6
Contactless keystroke inference via WiFi sensing highlights severe privacy threats, yet its real-world feasibility is hindered by two fundamental physical and deployment bottleneck…
Checkerboard: Closed-Form and Data-Independent Trigger Design for Clean-Label Backdoor Attacks
Yi Yang, Jinyang Huang, Binbin Liu +6
Backdoor attacks threaten the deep-learning supply chain by poisoning a small fraction of the training data so that a model behaves normally on clean inputs but maps triggered inpu…
Dual-Path Learning based on Frequency Structural Decoupling and Regional-Aware Fusion for Low-Light Image Super-Resolution
Ji-Xuan He, Jia-Cheng Zhao, Feng-Qi Cui +5
Low-light image super-resolution (LLISR) is essential for restoring fine visual details and perceptual quality under insufficient illumination conditions with ubiquitous low-resolu…
Breaking Coordinate Overfitting: Geometry-Aware WiFi Sensing for Cross-Layout 3D Pose Estimation
Songming Jia, Yan Lu, Bin Liu +7
WiFi-based 3D human pose estimation offers a low-cost and privacy-preserving alternative to vision-based systems for smart interaction. However, existing approaches rely on visual…
Beyond Physical Labels: Redefining Domains for Robust WiFi-based Gesture Recognition
Xiang Zhang, Huan Yan, Jinyang Huang +6
In this paper, we propose GesFi, a novel WiFi-based gesture recognition system that introduces WiFi latent domain mining to redefine domains directly from the data itself. GesFi fi…
ReMA: A Training-Free Plug-and-Play Mixing Augmentation for Video Behavior Recognition
Feng-Qi Cui, Jinyang Huang, Sirui Zhao +4
Video behavior recognition demands stable and discriminative representations under complex spatiotemporal variations. However, prevailing data augmentation strategies for videos re…
Every Subtlety Counts: Fine-grained Person Independence Micro-Action Recognition via Distributionally Robust Optimization
Feng-Qi Cui, Jinyang Huang, Anyang Tong +6
Micro-action Recognition is vital for psychological assessment and human-computer interaction. However, existing methods often fail in real-world scenarios because inter-person var…
Learning from Heterogeneity: Generalizing Dynamic Facial Expression Recognition via Distributionally Robust Optimization
Feng-Qi Cui, Anyang Tong, Jinyang Huang +4
Dynamic Facial Expression Recognition (DFER) plays a critical role in affective computing and human-computer interaction. Although existing methods achieve comparable performance,…
SparkAlign: A Star-Hopping Heuristic for Efficient Unsupervised Plain Graph Alignment
Boyan Wang, Weijie Feng, Jinyang Huang +4
Unsupervised plain graph alignment (UPGA) seeks corresponding nodes between two graphs from topology alone, without attributes or seed anchors. The dominant embed-then-match paradi…
Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs
Longwen Wang, Jianchun Liu, Zhi Liu +1
Federated Graph Learning (FGL) is an emerging technology that enables clients to collaboratively train powerful Graph Neural Networks (GNNs) in a distributed manner without exposin…
FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks
Ruiqi Wang, Jinyang Huang, Jie Zhang +6
Depression is a prevalent mental health disorder that significantly impacts individuals' lives and well-being. Early detection and intervention are crucial for effective treatment…