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Chi Harold Liu
Researcher at Beijing Institute of Technology
Publications - 167
Citations - 6598
Chi Harold Liu is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Computer science & Domain (software engineering). The author has an hindex of 32, co-authored 137 publications receiving 4567 citations. Previous affiliations of Chi Harold Liu include Sejong University & Imperial College London.
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A Survey on Internet of Things From Industrial Market Perspective
TL;DR: This survey is intended to serve as a guideline and a conceptual framework for context-aware product development and research in the IoT paradigm and provides a systematic exploration of existing IoT products in the marketplace and highlights a number of potentially significant research directions and trends.
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Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach
TL;DR: The proposed DRL-EC3 maximizes a novel energy efficiency function with joint consideration for communications coverage, fairness, energy consumption and connectivity, and makes decisions under the guidance of two powerful deep neural networks.
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The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey
TL;DR: This paper surveys over one hundred IoT smart solutions in the marketplace and examines them closely in order to identify the technologies used, functionalities, and applications, and suggests a number of potentially significant research directions.
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The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey
TL;DR: In this article, the authors present a survey of IoT smart solutions in the marketplace and examine them closely in order to identify the technologies used, functionalities, and applications, and identify the trends, opportunities and open challenges in the industry-based IoT solutions.
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Mobile Cloud Computing: A Survey, State of Art and Future Directions
TL;DR: The applicability of MCC in various domains including mobile learning, commerce, health/wellness and social medias is illustrated, and research gaps covering critical aspects of how MCC can be realized and effectively utilized at scale are identified.