activity
20142023
most citedDeep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

319 citations · 656 across the 32 of their papers we have counts for

collaborators

32 papers

cs.AI2023

Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response

Lei Han, Chunyu Tu, Zhiwen Yu +4

Efficiently obtaining the up-to-date information in the disaster-stricken area is the key to successful disaster response. Unmanned aerial vehicles (UAVs), workers and cars can col…

cs.IR2023

Limits of Predictability in Top-N Recommendation

En Xu, Zhiwen Yu, Ying Zhang +2

Top-N recommendation aims to recommend each consumer a small set of N items from a large collection of items, and its accuracy is one of the most common indexes to evaluate the per…

cs.CV2022★ 10 cited

AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices

Sicong Liu, Xiaochen Li, Zimu Zhou +4

The ubiquity of camera-embedded devices and the advances in deep learning have stimulated various intelligent mobile video applications. These applications often demand on-device p…

cs.IR2022

IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation

Jing Du, Zesheng Ye, Lina Yao +2

Recent sequential recommendation models rely increasingly on consecutive short-term user-item interaction sequences to model user interests. These approaches have, however, raised…

cs.IT2022★ 5 cited

Equivalence between Time Series Predictability and Bayes Error Rate

En Xu, Tao Zhou, Zhiwen Yu +2

Predictability is an emerging metric that quantifies the highest possible prediction accuracy for a given time series, being widely utilized in assessing known prediction algorithm…

cs.AI2022★ 2 cited

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review

Hao Wang, Bin Guo, Yating Zeng +5

The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in…