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Yinggang Li

dblp:34/5369 · DBLP profile ↗
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8ranked-venue papers
4as first author
3since 2021 · last 2025
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorComputer networks · 1Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Visualization and visual analytics · 75% Virtual and augmented reality · 25%
Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
scientific visualization
0.112007
Visualizing Large-Scale Uncertainty in Astrophysical Data · IEEE Trans. Vis. Comput. Graph. 2007
Visualization and visual analytics
uncertainty visualization
0.112007
Visualizing Large-Scale Uncertainty in Astrophysical Data · IEEE Trans. Vis. Comput. Graph. 2007
Virtual and augmented reality › navigation
world in miniature
0.112006
Scalable WIM: Effective Exploration in Large-scale Astrophysical Environments · IEEE Trans. Vis. Comput. Graph. 2006
Interaction techniques and input › spatial interaction › navigation
virtual reality navigation
0.112006
Scalable WIM: Effective Exploration in Large-scale Astrophysical Environments · IEEE Trans. Vis. Comput. Graph. 2006
Interaction techniques and input › spatial interaction › navigation
wayfinding
0.112006
Scalable WIM: Effective Exploration in Large-scale Astrophysical Environments · IEEE Trans. Vis. Comput. Graph. 2006
Visualization and visual analytics › scientific visualization
astronomical visualization
0.022007
Visualizing Large-Scale Uncertainty in Astrophysical Data · IEEE Trans. Vis. Comput. Graph. 2007
Scalable WIM: Effective Exploration in Large-scale Astrophysical Environments · IEEE Trans. Vis. Comput. Graph. 2006

Methods — techniques the papers use, named apart from their topics

power-law spatial scaling · 0.1logarithmic mapping · 0.1scalable WIM · 0.1magic-glass design · 0.1ellipsoid model · 0.1
YearPublicationVenuePosition
2025 Multi-dimensional requirements for reinforcement recommendation reasoning
Yinggang Li, Xiangrong Tong, Zhongming Lv
Appl. Intell.1
2025 A deep reinforcement learning framework for optimized dummy pad placement in PCB electroplating
Qiuzhan Zhou, Yinggang Li, Cong Wang 0035, Jingsong Wang
Expert Syst. Appl.2
2023 Multi-layer Attention Social Recommendation System Based on Deep Reinforcement Learning
Yinggang Li, Xiangrong Tong
KSEM (3)1
2020 Accurate human activity recognition with multi-task learning
Yinggang Li, Shigeng Zhang, Bing Zhu 0003, Weiping Wang 0003
CCF Trans. Pervasive Comput. Interact.1
2010 A Novel FPGA-Based 2.5Gbps D-QPSK Modem for High Capacity Microwave Radios
abstract
A novel FPGA-based Differential QPSK modem (modulator and demodulator) is presented for data rates up to 2.5Gbps, in which no DAC or ADC is used. The targeted application is E-Band microwave Point-to-Point radio links in mobile backhaul for LTE and beyond.
Zhongxia Simon He, Yinggang Li, Herbert Zirath
ICC3
2010 A Simple DBPSK Modem Based on High-Speed Logical Gates for a 70/80 GHz GbE Microwave Link
abstract
A simple DBPSK modulator and demodulator based on high-speed logical gates is implemented. The modulator and demodulator is verified in a GbE microwave link for the 70/80 GHz band. Performance is evaluated back-to-back and in an outdoor hop over 1 km. We also show how the scheme may be extended to support the DQPSK format and thus double the capacity further.
Jonas Hansryd, Yinggang Li, Bengt-Erik Olsson
VTC Spring3
2007 Visualizing Large-Scale Uncertainty in Astrophysical Data
abstract
Visualization of uncertainty or error in astrophysical data is seldom available in simulations of astronomical phenomena, and yet almost all rendered attributes possess some degree of uncertainty due to observational error. Uncertainties associated with spatial location typically vary signicantly with scale and thus introduce further complexity in the interpretation of a given visualization. This paper introduces effective techniques for visualizing uncertainty in large-scale virtual astrophysical environments. Building upon our previous transparently scalable visualization architecture, we develop tools that enhance the perception and comprehension of uncertainty across wide scale ranges. Our methods include a unified color-coding scheme for representing log-scale distances and percentage errors, an ellipsoid model to represent positional uncertainty, an ellipsoid envelope model to expose trajectory uncertainty, and a magic-glass design supporting the selection of ranges of log-scale distance and uncertainty parameters, as well as an overview mode and a scalable WIM tool for exposing the magnitudes of spatial context and uncertainty.
Hongwei Li 0004, Chi-Wing Fu, Yinggang Li, Andrew J. Hanson
IEEE Trans. Vis. Comput. Graph.3
2006 Scalable WIM: Effective Exploration in Large-scale Astrophysical Environments
abstract
Navigating through large-scale virtual environments such as simulations of the astrophysical Universe is difficult. The huge spatial range of astronomical models and the dominance of empty space make it hard for users to travel across cosmological scales effectively, and the problem of wayfinding further impedes the user's ability to acquire reliable spatial knowledge of astronomical contexts. We introduce a new technique called the scalable world-in-miniature (WIM) map as a unifying interface to facilitate travel and wayfinding in a virtual environment spanning gigantic spatial scales: Power-law spatial scaling enables rapid and accurate transitions among widely separated regions; logarithmically mapped miniature spaces offer a global overview mode when the full context is too large; 3D landmarks represented in the WIM are enhanced by scale, positional, and directional cues to augment spatial context awareness; a series of navigation models are incorporated into the scalable WIM to improve the performance of travel tasks posed by the unique characteristics of virtual cosmic exploration. The scalable WIM user interface supports an improved physical navigation experience and assists pragmatic cognitive understanding of a visualization context that incorporates the features of large-scale astronomy.
Yinggang Li, Chi-Wing Fu, Andrew J. Hanson
IEEE Trans. Vis. Comput. Graph.1