Zheng Li

Zheng Li
Fudan University · School of Computer Science

Master of Science

About

3
Publications
282
Reads
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15
Citations
Additional affiliations
September 2020 - present
Fudan University
Position
  • Master's Student
Description
  • My research interests consist of Computer Networking and Graph Analytics. Moreover, I have some engineering experience at Drone Control System.

Publications

Publications (3)
Preprint
Full-text available
Research attention on natural user interfaces (NUIs) for drone flights are rising. Nevertheless, NUIs are highly diversified , and primarily evaluated by different physical environments leading to hard-to-compare performance between such solutions. We propose a virtual environment, namely VRFlightSim, enabling comparative evaluations with enriched...
Conference Paper
Full-text available
HTTP has been the primary protocol for web data transmission for decades. Since the late 1990s, HTTP/1.1 has been widely used. Recently, both HTTP/2 and HTTP/3 have been proposed to achieve a better experience on web browsing. However, it is still unclear which of them performs better in different scenarios. In this paper, we first leverage the con...
Article
Full-text available
Flying drones have become common objects in our daily lives, serving a multitude of purposes. Many of these purposes involve outdoor scenarios where the user combines drone control with another activity. Traditional interaction methods rely on physical or virtual joysticks that occupy both hands, thus restricting drone usability. In this paper, we...

Network

Cited By

Projects

Project (1)
Project
there is a need for users to make sense of the data and its implications. Augmented Reality (AR) can certainly provide an immersive user interface for Human-Data and Human-AI interactions. AR is one of the most promising strategies to provide users with an intuitive way to visualize the amount of generated content. Through this project, we explore how we can exploit the third dimension and immersion provided by AR to display massive amounts of data. We also envision intuitive interaction methods with the AR world. Finally, we develop integrated systems for Human-Data interactions.