activity
20222026
most citedHeterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis

Jiahao Wu, Zhenqun Yang, Chen Jason Zhang +1

Diagnosing collective anomalies from urban trajectories is increasingly important for traffic governance, as it reveals what happened, who was involved, and where and when the even…

cs.LG2025

Cardiac Evidence Backtracking for Eating Behavior Monitoring using Collocative Electrocardiogram Imagining

Xu-Lu Zhang, Zhen-Qun Yang, Dong-Mei Jiang +4

Eating monitoring has remained an open challenge in medical research for years due to the lack of non-invasive sensors for continuous monitoring and the reliable methods for automa…

cs.IR2024★ 6 cited

Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach

Chengyi Ju, Jiannong Cao, Yu Yang +2

In the era of modern education, addressing cross-school learner diversity is crucial, especially in personalized recommender systems for elective course selection. However, privacy…

cs.CV2022★ 1 cited

Conceptor Learning for Class Activation Mapping

Guangwu Qian, Zhen-Qun Yang, Xu-Lu Zhang +3

Class Activation Mapping (CAM) has been widely adopted to generate saliency maps which provides visual explanations for deep neural networks (DNNs). The saliency maps are conventio…

cs.CV2022

Indicative Image Retrieval: Turning Blackbox Learning into Grey

Xulu Zhang, Zhenqun Yang, Hao Tian +2

Deep learning became the game changer for image retrieval soon after it was introduced. It promotes the feature extraction (by representation learning) as the core of image retriev…