activity
20192026
most citedAttentive Geo-Social Group Recommendation

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

collaborators

5 papers

eess.SP2026

Multimodal Wearable-Based Olfactory-Induced Emotion Recognition in Arousal-Valence Dimensions

Chen-Yang Xu, Lan Zhang, Fei-Yi Fan +2

Olfaction is important for emotion regulation because it acts as a non-intrusive and cognitively lightweight pathway that directly engages the brain s affective circuitry and achie…

cs.LG2026

Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition

Qingyu Wu, Jianfei Shen, Feiyi Fan +3

For low-semantic sensor signals from human activity recognition (HAR), contrastive learning (CL) is essential to implement novel applications or generic models without manual annot…

cs.SE2020★ 1 cited

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines

Zhaojing Luo, Sai Ho Yeung, Meihui Zhang +7

With the ever-increasing adoption of machine learning for data analytics, maintaining a machine learning pipeline is becoming more complex as both the datasets and trained models e…

cs.SI2019★ 2 cited

Attentive Geo-Social Group Recommendation

Fei Yu, Feiyi Fan, Shouxu Jiang +1

Social activities play an important role in people's daily life since they interact. For recommendations based on social activities, it is vital to have not only the activity infor…

cs.NI2019★ 2 cited

The Disruptions of 5G on Data-driven Technologies and Applications

Dumitrel Loghin, Shaofeng Cai, Gang Chen +12

With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze…