Kai Yang

Orcid: 0000-0002-1360-8141

Affiliations:
  • JD Technology Group, Beijing, China
  • University of Chinese Academy of Sciences, Beijing, China (PhD 2020)
  • Chinese Academy of Sciences, Institute of Microsystem and Information Technology, Shanghai, China
  • ShanghaiTech University, School of Information Science and Technology, Shanghai, China


According to our database1, Kai Yang authored at least 24 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Trustworthy Federated Learning via Blockchain.
IEEE Internet Things J., 2023

2022
Over-the-Air Computation for Vertical Federated Learning.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021
Reconfigurable Intelligent Surface for Green Edge Inference.
IEEE Trans. Green Commun. Netw., 2021

2020
Federated Learning via Over-the-Air Computation.
IEEE Trans. Wirel. Commun., 2020

Ranking from Crowdsourced Pairwise Comparisons via Smoothed Riemannian Optimization.
ACM Trans. Knowl. Discov. Data, 2020

Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface.
IEEE Netw., 2020

Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference.
IEEE Internet Things J., 2020

Communication-Efficient Edge AI Inference Over Wireless Networks.
CoRR, 2020

Communication-Efficient Edge AI: Algorithms and Systems.
IEEE Commun. Surv. Tutorials, 2020

2019
Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks.
IEEE Trans. Wirel. Commun., 2019

Blind Demixing for Low-Latency Communication.
IEEE Trans. Wirel. Commun., 2019

Data Shuffling in Wireless Distributed Computing via Low-Rank Optimization.
IEEE Trans. Signal Process., 2019

Reconfigurable Intelligent Surface for Green Edge Inference.
CoRR, 2019

A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression.
CoRR, 2019

Inexact Primal-Dual Gradient Projection Methods for Nonlinear Optimization on Convex Set.
CoRR, 2019

Deep Learning Tasks Processing in Fog-RAN.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

On-Device Federated Learning via Second-Order Optimization with Over-the-Air Computation.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Federated Learning Based on Over-the-Air Computation.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Pliable Data Shuffling for On-device Distributed Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Low-Rank Optimization for Data Shuffling in Wireless Distributed Computing.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Ranking from Crowdsourced Pairwise Comparisons via Smoothed Matrix Manifold Optimization.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Generalized matrix completion for low complexity transceiver processing in cache-aided Fog-RAN via the Burer-Monteiro approach.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Low-Rank Matrix Completion for Mobile Edge Caching in Fog-RAN via Riemannian Optimization.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

A low-rank approach for interference management in dense wireless networks.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016


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