Kaiyang Li

Orcid: 0000-0003-3615-5146

Affiliations:
  • University of Connecticut, School of Computing, Storrs, CT, USA
  • Georgia State University, Computer Science Department, Atlanta, GA, USA
  • University of Electronic Science and Technology of China, School of Computer Science and Engineering, Trusted Cloud Computing and Big Data Key Laboratory of Sichuan Province, Chengdu, China


According to our database1, Kaiyang Li authored at least 9 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Bayesian Model Merging.
CoRR, May, 2026

Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning.
CoRR, March, 2026

2025
Uni-LoRA: One Vector is All You Need.
CoRR, June, 2025

2024
Neural-based inexact graph de-anonymization.
High Confid. Comput., 2024

2023
Event Predictability: A Uniform Form for IoT-Based Nondeterministic Social Systems.
IEEE Internet Things J., July, 2023

2021
Adversarial Privacy-Preserving Graph Embedding Against Inference Attack.
IEEE Internet Things J., 2021

2020
Seed-free Graph De-anonymiztiation with Adversarial Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Incorporating social interaction into three-party game towards privacy protection in IoT.
Comput. Networks, 2019

2018
Behavior of Social Network Users to Privacy Leakage: An Agent-Based Approach.
Proceedings of the Advanced Multimedia and Ubiquitous Engineering, 2018


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