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Yishuo Liu

dblp:131/8879 · DBLP profile ↗
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7ranked-venue papers
2as first author
6since 2021 · last 2026
—ORCID · conflict

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

Artificial intelligence and machine learning · 5 · 1 first-author · 5 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 since 2021

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.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
text entry
0.712023
T-Force: Exploring the Use of Typing Force for Three State Virtual Keyboards · CHI 2023
Interaction techniques and input › text entry
virtual keyboard
0.712023
T-Force: Exploring the Use of Typing Force for Three State Virtual Keyboards · CHI 2023
Interaction techniques and input › input device
keyboard design
0.212023
T-Force: Exploring the Use of Typing Force for Three State Virtual Keyboards · CHI 2023

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

user study · 0.7threshold function design · 0.7
YearPublicationVenuePosition
2026 A novel helicopter flight action recognition method based on flight parameter data processing
Yanhong Jie, Yishuo Liu, Yuansong Liu, Guotao Wang 0002
Eng. Appl. Artif. Intell.3
2026 IPG-FRN: Intrinsic prototype-guided feature reconstruction network for industrial anomaly detection
Lanxiao Li, Yishuo Liu, Binghui Wang
Expert Syst. Appl.3
2026 Self-supervised learning video anomaly detection based on time interval prediction and noise classification
Yishuo Liu, Qingyang Yang, Lanxiao Li, Binghui Wang
Pattern Recognit.1
2026 GMSFormer: Geometric-aware multi-structured transformer for point cloud understanding
Chunjuan Yan, Binghui Wang, Yishuo Liu
Pattern Recognit.4
2025 MMI-FM: Multimodal Interaction and Fusion Mechanism for Video Anomaly Detection
Binghui Wang, Jiajiong Li, Yishuo Liu
Appl. Intell.5
2023 T-Force: Exploring the Use of Typing Force for Three State Virtual Keyboards
abstract
Three state virtual keyboards which differentiate contact events between released, touched, and pressed states have the potential to improve overall typing experience and reduce the gap between virtual keyboards and physical keyboards. Incorporating force sensitivity, three-state virtual keyboards can utilize a force threshold to better classify a contact event. However, our limited knowledge of how force plays a role during typing on virtual keyboards limits further progress. Through a series of studies we observe that using a uniform threshold is not an optimal approach. Furthermore, the force being applied while typing varies significantly across the keys and among participants. As such, we propose three different approaches to further improve the uniform threshold. We show that a carefully selected non-uniform threshold function could be sufficient in delineating typing events on a three-state keyboard. Finally, we conclude our work with lessons learned, suggestion for future improvements, and comparisons with current methods available.
Shariff A. M. Faleel, Yishuo Liu, Roya Allison Cody, Bradley Rey, Linghao Du, Jiangyue Yu, Da-Yuan Huang, Pourang Irani, Wei Li 0002
CHI2
2018 BoatAR: a multi-user augmented-reality platform for boat
abstract
Augmented Reality (AR) allows virtual object projection with an unblocked view of the physical world which provides reference and other people. The mixed scene provides an agile platform for communication and collaboration, especially on a product that would be difficult or expensive to present otherwise. In the boating industry, high customization leaves dealers with a high cost on inventory, financially and spatially. In this work, we present BoatAR, a multi-user AR boat configuration system designed for addressing these issues. A prototype system was implemented using HoloLens with shared experience, and demonstrated to a group of boat dealers and received positive feedback. BoatAR provided an example of how a multi-user AR system could help in the conventional industry.
Yishuo Liu, Shiliang Zuo, Wai-Tat Fu
VRST1