Z
Zhizhong Li
Researcher at Tsinghua University
Publications - 144
Citations - 2334
Zhizhong Li is an academic researcher from Tsinghua University. The author has contributed to research in topics: Workload & Task (project management). The author has an hindex of 24, co-authored 132 publications receiving 1839 citations. Previous affiliations of Zhizhong Li include University of Science and Technology Beijing & Sakarya University.
Papers
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Journal ArticleDOI
Task complexity: A review and conceptualization framework
Peng Liu,Zhizhong Li +1 more
TL;DR: This study aims at providing a clear, systematic understanding of task complexity by reviewing and conceptualizing existing task complexity definitions and models from structuralist, resource requirement, and interaction viewpoints, and compared with other models.
Proceedings ArticleDOI
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
TL;DR: This work presents a new family of modules, namely the PolyInception, which can be flexibly inserted in isolation or in a composition as replacements of different parts of a network, and demonstrates substantial improvements over the state-of-the-art on the ILSVRC 2012 benchmark.
Journal ArticleDOI
Mental workload measurement for emergency operating procedures in digital nuclear power plants
TL;DR: The results show that eye response measures are useful for assessing temporal changes of workload whereas cardiac measures are helpful for evaluating the overall workload.
Proceedings ArticleDOI
Convolutional Sequence Generation for Skeleton-Based Action Synthesis
TL;DR: The results show that the proposed framework, named Convolutional Sequence Generation Network (CSGN), can produce long action sequences that are coherent across time steps and among body parts.
Journal ArticleDOI
Re-engineering of the design process for concurrent engineering
TL;DR: According to the requirements of concurrent engineering, three interdependency relationships (uncoupled relationship, coupled relationship and decoupling relationship) between design activities are presented in this paper and an algorithm of recognizing the coupled activities during the design process is presented.