4 citations · 5 across the 10 of their papers we have counts for
10 papers
Stochastic Voronoi Ensembles for Anomaly Detection
Yang Cao, Sikun Yang, Xuyun Zhang +1
Anomaly detection aims to identify data instances that deviate significantly from majority of data, which has been widely used in fraud detection, network security, and industrial…
ExBigBang: A Dynamic Approach for Explainable Persona Classification through Contextualized Hybrid Transformer Analysis
Saleh Afzoon, Amin Beheshti, Nabi Rezvani +7
In user-centric design, persona development plays a vital role in understanding user behaviour, capturing needs, segmenting audiences, and guiding design decisions. However, the gr…
Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Prediction
Wei Shen, Xiaonan He, Chuheng Zhang +3
Reward-driven proactive dialogue agents require precise estimation of user satisfaction as an intrinsic reward signal to determine optimal interaction strategies. Specifically, thi…
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
Yongzhe Jia, Xuyun Zhang, Hongsheng Hu +5
Federated learning (FL) has emerged as a prominent machine learning paradigm in edge computing environments, enabling edge devices to collaboratively optimize a global model withou…
Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability
Zijian Ying, Qianmu Li, Tao Wang +3
Various methods try to enhance adversarial transferability by improving the generalization from different perspectives. In this paper, we rethink the optimization process and propo…
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Yongzhe Jia, Xuyun Zhang, Amin Beheshti +1
Federated Learning (FL) has emerged as a promising solution in Edge Computing (EC) environments to process the proliferation of data generated by edge devices. By collaboratively o…