Yang Bai

Orcid: 0009-0002-1719-1117

Affiliations:
  • Shanghai Jiao Tong University, Department of Automation, School of Electronic Information and Electrical Engineering, China
  • University of Miami, College of Engineering, Coral Gables, FL, USA (PhD 2021)


According to our database1, Yang Bai authored at least 18 papers between 2019 and 2025.

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Timeline

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Bibliography

2025
Through Diverse Lenses: Multimodal Collaborative Perception for Indoor Scenes in Smart Home Systems.
IEEE Internet Things J., June, 2025

P3FL: A Privacy-Preserving Personalized Federated Learning Framework for Collaborative Smart Home Predictions and Decision-Making.
IEEE Internet Things J., 2025

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
On Adaptive Edge Microservice Placement: A Reinforcement Learning Approach Endowed With Graph Comprehension.
IEEE Trans. Mob. Comput., December, 2024

Privacy-Preserving Blockchained Edge Resource Auction With Fraud Resistance.
IEEE Trans. Netw. Serv. Manag., August, 2024

Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale.
Proceedings of the ACM on Web Conference 2024, 2024

Adaptively Compressed Swarm Learning for Distributed Traffic Prediction over IoV-Web3.0.
Proceedings of the International Joint Conference on Neural Networks, 2024

Scale Wisely, Secure Wholly: P2P Swarm Learning Over Consortium Blockchain in Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Learning-Based DApp Task Scheduling for Elastic Hybrid Computing in Edge Web 3.0.
Proceedings of the IEEE International Conference on Communications, 2024

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Automated Customization of On-Device Inference for Quality-of-Experience Enhancement.
IEEE Trans. Computers, May, 2023

Multicore Federated Learning for Mobile-Edge Computing Platforms.
IEEE Internet Things J., April, 2023

NeuE: Automated Neural Network Ensembles for Edge Intelligence.
IEEE Trans. Emerg. Top. Comput., 2023

2022
Automated Ensemble for Deep Learning Inference on Edge Computing Platforms.
IEEE Internet Things J., 2022

2021
Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement.
CoRR, 2021

Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

2020
Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game.
IEEE Trans. Netw. Serv. Manag., 2020

2019
Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading.
Proceedings of the 6th ACM Workshop on Moving Target Defense, 2019


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