Chianing Johnny Wang

According to our database, Chianing Johnny Wang authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data.

Yiyue Chen, Usman Akram, Chianing Wang, Haris Vikalo

CoRR, September, 2025

Adaptive Federated Distillation with Dual-LoRA for Personalized Representation Learning.

Duy Phuong Nguyen, Chianing Wang, Ali Jannesari

Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

2024

Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity.

Yiyue Chen, Haris Vikalo, Chianing Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Poster: Towards Realistic Federated Learning Evaluations for Connected and Automated Vehicles.

Yongkang Liu, Chianing Wang, Kentaro Oguchi

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation.

Huancheng Chen, Chianing Wang, Haris Vikalo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Federated Learning with Infrastructure Resource Limitations in Vehicular Object Detection.

Yiyue Chen, Chianing Johnny Wang, BaekGyu Kim

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

2020

Automotive Big Data Pipeline: Disaggregated Hyper-Converged Infrastructure vs Hyper-Converged Infrastructure.

Chianing Johnny Wang, BaekGyu Kim

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020