Xiaoying Tang

Comput. Ind. Eng., 2025

TRACE: Temporal Grounding Video LLM via Causal Event Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Federated Unlearning with Gradient Descent and Conflict Mitigation.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Optimal Pricing and Charging Strategy Design for Non-Cooperative Battery Swapping Stations.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., December, 2024

HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., November, 2024

A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement.

[BibT_eX]

[DOI]

Tongxin Li

IEEE Trans. Ind. Informatics, October, 2024

Cooperative Charging Stations Management Under Irrational Hierarchy EV Behaviors.

[BibT_eX]

[DOI]

Shuoyao Wang

IEEE Internet Things J., March, 2024

Incentive Mechanism for Federated Learning With Random Client Selection.

[BibT_eX]

[DOI]

Hongyi Wu

Lin Gao

IEEE Trans. Netw. Sci. Eng., 2024

Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning.

[BibT_eX]

[DOI]

Xinpeng Wang

CoRR, 2024

Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Black Gradient Descent.

[BibT_eX]

[DOI]

Lin Wang

Zhichao Wang

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding.

[BibT_eX]

[DOI]

CoRR, 2024

Bounded Rational User Behavior Analysis-based Cooperative Pricing Scheme for CSs with Single-Output Multi-Port Charging Station.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

Strategic V2G Trading in Local Energy Market Considering Minimum Energy Requirement.

[BibT_eX]

[DOI]

Jianwei Huang

Proceedings of the IEEE International Conference on Communications, 2024

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

[BibT_eX]

[DOI]

Zhichao Wang

Lin Wang

Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FedLF: Layer-Wise Fair Federated Learning.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Lin Wang

Zhichao Wang

CoRR, 2023

FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2023

Optimizing Pricing and Charging Strategy for Electric Taxis Considering Credit Mechanism.

[BibT_eX]

[DOI]

Jiwei Zhang

Proceedings of the IEEE International Conference on Communications, 2023

PITPS: Balancing Local and Global Profits for Multiple Charging Stations Management.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

DELTA: Diverse Client Sampling for Fasting Federated Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis✱.

[BibT_eX]

[DOI]

Huanyu Yan

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

[BibT_eX]

[DOI]

Xi Leng

Yatao Bian

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Battery Charging Strategies Design for Battery Swapping Stations: A Game Theoretic Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

A Game Approach for EV Brands' Investment Planning of Battery Swapping Stations.

[BibT_eX]

[DOI]

Heyu Ren

Proceedings of the IEEE International Conference on Communications, 2022

Pricing and Charging Scheduling for Cooperative Electric Vehicle Charging Stations via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Shuoyao Wang

Proceedings of the IEEE International Conference on Communications, 2022

Incentive Mechanism for Federated Learning based on Random Client Sampling.

[BibT_eX]

[DOI]

Hongyi Wu

Lin Gao

Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021

Continuous Group-Wise Double Auction for Prosumers in Distribution-Level Markets.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2021

Online Detection of Events With Low-Quality Synchrophasor Measurements Based on $i$Forest.

[BibT_eX]

[DOI]

Tong Wu

IEEE Trans. Ind. Informatics, 2021

Towards Federated Learning on Time-Evolving Heterogeneous Data.

[BibT_eX]

[DOI]

CoRR, 2021

Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand.

[BibT_eX]

[DOI]

Tongxin Li

Proceedings of the IEEE International Conference on Communications, 2021

2019

Distributed Routing and Charging Scheduling Optimization for Internet of Electric Vehicles.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

2018

Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control.

[BibT_eX]

[DOI]

Ying Jun (Angela) Zhang

Changhong Zhao

Steven H. Low

IEEE Trans. Smart Grid, 2018

Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection.

[BibT_eX]

[DOI]

Tong Wu

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

Joint Routing and Charging Scheduling Optimizations for Smart-Grid Enabled Electric Vehicle Networks.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

2016

Online Charging Scheduling Algorithms of Electric Vehicles in Smart Grid: An Overview.

[BibT_eX]

[DOI]

Ying Jun Zhang

IEEE Commun. Mag., 2016

2015

Optimal battery energy storage system control in microgrid with renewable energy generation.

[BibT_eX]

[DOI]

Ying Jun (Angela) Zhang

Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015

2014

Online Coordinated Charging Decision Algorithm for Electric Vehicles Without Future Information.

[BibT_eX]

[DOI]

Ying Jun (Angela) Zhang

IEEE Trans. Smart Grid, 2014

Online electric vehicle charging control with multistage stochastic programming.

[BibT_eX]

[DOI]

Ying Jun Zhang

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013

Online Speeding Optimal Charging Algorithm for electric vehicles without future information.

[BibT_eX]

[DOI]