activity
20232025
most citedLearning from Heterogeneity: Generalizing Dynamic Facial Expression Recognition via Distributionally Robust Optimization

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

collaborators

11 papers

cs.CV2025

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…

cs.CV2025★ 9 cited

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,…

cs.CV2025

High Performance Space Debris Tracking in Complex Skylight Backgrounds with a Large-Scale Dataset

Guohang Zhuang, Weixi Song, Jinyang Huang +3

With the rapid development of space exploration, space debris has attracted more attention due to its potential extreme threat, leading to the need for real-time and accurate debri…

cs.CV2025

STAR: A Benchmark for Astronomical Star Fields Super-Resolution

Kuo-Cheng Wu, Guohang Zhuang, Jinyang Huang +3

Super-resolution (SR) advances astronomical imaging by enabling cost-effective high-resolution capture, crucial for detecting faraway celestial objects and precise structural analy…

cs.SI2025

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…

cs.LG2024

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…

cs.CV2024

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…

cs.SI2024

Dynamic Information Dissemination Model Incorporating Non-Adjacent Node Interaction

Xinyu Li, Jinyang Huang, Xiang Zhang +5

Describing the dynamics of information dissemination within social networks poses a formidable challenge. Despite multiple endeavors aimed at addressing this issue, only a limited…

cs.SI2024

Information Dissemination Model Based on User Attitude and Public Opinion Environment

Xinyu Li, Jinyang Huang, Xiang Zhang +5

Modeling the information dissemination process in social networks is a challenging problem. Despite numerous attempts to address this issue, existing studies often assume that user…

cs.HC2024

WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework

Xiang Zhang, Jingyang Huang, Huan Yan +4

Recent years have witnessed a growing interest in Wi-Fi-based gesture recognition. However, existing works have predominantly focused on closed-set paradigms, where all testing ges…

cs.CV2023★ 2 cited

ReSup: Reliable Label Noise Suppression for Facial Expression Recognition

Xiang Zhang, Yan Lu, Huan Yan +3

Because of the ambiguous and subjective property of the facial expression recognition (FER) task, the label noise is widely existing in the FER dataset. For this problem, in the tr…