Z
Zhiwen Yu
Researcher at Northwestern Polytechnical University
Publications - 625
Citations - 15458
Zhiwen Yu is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Computer science & Cluster analysis. The author has an hindex of 52, co-authored 538 publications receiving 11573 citations. Previous affiliations of Zhiwen Yu include Hong Kong University of Science and Technology & University of Mannheim.
Papers
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Sensor-Based Activity Recognition
TL;DR: A comprehensive survey to examine the development and current status of various aspects of sensor-based activity recognition, making a primary distinction in this paper between data-driven and knowledge-driven approaches.
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Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm
TL;DR: The unique features and novel application areas of MCSC are characterized and a reference framework for building human-in-the-loop MCSC systems is proposed, which clarifies the complementary nature of human and machine intelligence and envision the potential of deep-fused human--machine systems.
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A survey on ensemble learning
TL;DR: Challenges and possible research directions for each mainstream approach of ensemble learning are presented and an extra introduction is given for the combination of ensemblelearning with other machine learning hot spots such as deep learning, reinforcement learning, etc.
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TV Program Recommendation for Multiple Viewers Based on user Profile Merging
TL;DR: The evaluation results proved that the merging result can appropriately reflect the preferences of the majority of members within the group, and the proposed recommendation strategy is effective for multiple viewers watching TV together.
Posted Content
From Participatory Sensing to Mobile Crowd Sensing
TL;DR: In this paper, the authors present the literary history of mobile crowd sensing and its unique issues and a reference framework for MCS systems is also proposed, further clarify the potential fusion of human and machine intelligence in MCS and discuss the future research trends as well as their efforts to MCS.