Xiaoying Tang

Orcid: 0000-0003-3955-1195

Affiliations:
  • Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China


According to our database1, Xiaoying Tang authored at least 39 papers between 2013 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Optimal Pricing and Charging Strategy Design for Non-Cooperative Battery Swapping Stations.
IEEE Trans. Mob. Comput., December, 2024

A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement.
IEEE Trans. Ind. Informatics, October, 2024

Cooperative Charging Stations Management Under Irrational Hierarchy EV Behaviors.
IEEE Internet Things J., March, 2024

Incentive Mechanism for Federated Learning With Random Client Selection.
IEEE Trans. Netw. Sci. Eng., 2024

FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation.
CoRR, 2024

Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing.
CoRR, 2024

Strategic V2G Trading in Local Energy Market Considering Minimum Energy Requirement.
Proceedings of the IEEE International Conference on Communications, 2024

Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning.
CoRR, 2023

FedEBA+: Towards Fair and Effective Federated Learning via Entropy-Based Model.
CoRR, 2023

FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts.
CoRR, 2023

Optimizing Pricing and Charging Strategy for Electric Taxis Considering Credit Mechanism.
Proceedings of the IEEE International Conference on Communications, 2023

PITPS: Balancing Local and Global Profits for Multiple Charging Stations Management.
Proceedings of the IEEE International Conference on Communications, 2023

DELTA: Diverse Client Sampling for Fasting Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RPCover: Recovering gRPC Dependency in Multilingual Projects.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction.
Proceedings of the International Conference on Machine Learning, 2023

Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis✱.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains.
CoRR, 2022

Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy.
CoRR, 2022

FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data.
CoRR, 2022

A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms.
CoRR, 2022

Battery Charging Strategies Design for Battery Swapping Stations: A Game Theoretic Approach.
Proceedings of the IEEE International Conference on Communications, 2022

A Game Approach for EV Brands' Investment Planning of Battery Swapping Stations.
Proceedings of the IEEE International Conference on Communications, 2022

Pricing and Charging Scheduling for Cooperative Electric Vehicle Charging Stations via Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2022

Incentive Mechanism for Federated Learning based on Random Client Sampling.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021
Continuous Group-Wise Double Auction for Prosumers in Distribution-Level Markets.
IEEE Trans. Smart Grid, 2021

Online Detection of Events With Low-Quality Synchrophasor Measurements Based on $i$Forest.
IEEE Trans. Ind. Informatics, 2021

Towards Federated Learning on Time-Evolving Heterogeneous Data.
CoRR, 2021

Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand.
Proceedings of the IEEE International Conference on Communications, 2021

2019
Distributed Routing and Charging Scheduling Optimization for Internet of Electric Vehicles.
IEEE Internet Things J., 2019

2018
Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control.
IEEE Trans. Smart Grid, 2018

Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Joint Routing and Charging Scheduling Optimizations for Smart-Grid Enabled Electric Vehicle Networks.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

2016
Online Charging Scheduling Algorithms of Electric Vehicles in Smart Grid: An Overview.
IEEE Commun. Mag., 2016

2015
Optimal battery energy storage system control in microgrid with renewable energy generation.
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

2014
Online Coordinated Charging Decision Algorithm for Electric Vehicles Without Future Information.
IEEE Trans. Smart Grid, 2014

Online electric vehicle charging control with multistage stochastic programming.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013
Online Speeding Optimal Charging Algorithm for electric vehicles without future information.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013


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