Xinjun Cai

Orcid: 0000-0002-6723-0367

According to our database1, Xinjun Cai authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-User Mobile Augmented Reality with ID-Aware Visual Interaction.
ACM Trans. Sens. Networks, January, 2024

2023
HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning.
Knowl. Based Syst., November, 2023

Trine: Cloud-Edge-Device Cooperated Real-Time Video Analysis for Household Applications.
IEEE Trans. Mob. Comput., August, 2023

WAVE: Edge-Device Cooperated Real-Time Object Detection for Open-Air Applications.
IEEE Trans. Mob. Comput., July, 2023

SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
DiTing: Edge Assisted Real-time ID-aware Visual Interaction for Multi-user Augmented Reality.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning.
CoRR, 2021

AIRCODE: Hidden Screen-Camera Communication on an Invisible and Inaudible Dual Channel.
Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

Gain Without Pain: Enabling Real-time Environmental Perception on 2x Mobile Devices in Multiplayer Augmented Reality.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

A Graph Neural Network-Based Approach for Predicting Second Rise of Information Diffusion on Social Networks.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020
DBGE: Employee Turnover Prediction Based on Dynamic Bipartite Graph Embedding.
IEEE Access, 2020

2019
CoxRF: Employee Turnover Prediction Based on Survival Analysis.
Proceedings of the 2019 IEEE SmartWorld, 2019


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