Online Speeding Optimal Charging Algorithm for electric vehicles without future information. - Wanrong Tang; Suzhi Bi; Ying Jun Zhang (SmartGridComm, 2013)

Online electric vehicle charging control with multistage stochastic programming. - Wanrong Tang; Ying Jun Zhang (CISS, 2014)

Online Coordinated Charging Decision Algorithm for Electric Vehicles Without Future Information. - Wanrong Tang; Suzhi Bi; Ying Jun (Angela) Zhang (IEEE Trans. Smart Grid, 2014)

Optimal battery energy storage system control in microgrid with renewable energy generation. - Wanrong Tang; Ying Jun (Angela) Zhang (SmartGridComm, 2015)

Online Charging Scheduling Algorithms of Electric Vehicles in Smart Grid: An Overview. - Wanrong Tang; Suzhi Bi; Ying Jun Zhang (IEEE Commun. Mag., 2016)

Joint Routing and Charging Scheduling Optimizations for Smart-Grid Enabled Electric Vehicle Networks. - Wanrong Tang; Suzhi Bi; Ying Jun Zhang; Xiaojun Yuan 002 (VTC Spring, 2017)

Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection. - Tong Wu 002; Ying-Jun Angela Zhang; Xiaoying Tang 002 (SmartGridComm, 2018)

Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control. - Ying Jun (Angela) Zhang; Changhong Zhao; Wanrong Tang; Steven H. Low (IEEE Trans. Smart Grid, 2018)

Distributed Routing and Charging Scheduling Optimization for Internet of Electric Vehicles. - Xiaoying Tang 002; Suzhi Bi; Ying-Jun Angela Zhang (IEEE Internet Things J., 2019)

Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand. - Chenxi Sun; Tongxin Li; Xiaoying Tang 002 (SmartGridComm, 2021)

Towards Federated Learning on Time-Evolving Heterogeneous Data. - Yongxin Guo; Tao Lin; Xiaoying Tang 002 (CoRR, 2021)

Online Detection of Events With Low-Quality Synchrophasor Measurements Based on $i$Forest. - Tong Wu 002; Ying-Jun Angela Zhang; Xiaoying Tang 002 (IEEE Trans. Ind. Informatics, 2021)

Continuous Group-Wise Double Auction for Prosumers in Distribution-Level Markets. - Ankun Yu; Xiaoying Tang 002; Ying Jun Zhang; Jianwei Huang 001 (IEEE Trans. Smart Grid, 2021)

Incentive Mechanism for Federated Learning based on Random Client Sampling. - Hongyi Wu; Xiaoying Tang 002; Ying-Jun Angela Zhang; Lin Gao 001 (GLOBECOM (Workshops), 2022)

Pricing and Charging Scheduling for Cooperative Electric Vehicle Charging Stations via Deep Reinforcement Learning. - Jie Liu 061; Shuoyao Wang; Xiaoying Tang 002 (SmartGridComm, 2022)

A Game Approach for EV Brands' Investment Planning of Battery Swapping Stations. - Heyu Ren; Chenxi Sun; Xiaoying Tang 002 (SmartGridComm, 2022)

Battery Charging Strategies Design for Battery Swapping Stations: A Game Theoretic Approach. - Huanyu Yan; Chenxi Sun; Huanxin Liao; Xiaoying Tang 002 (SmartGridComm, 2022)

A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms. - Xiaoying Tang 002; Chenxi Sun; Suzhi Bi; Shuoyao Wang; Ying-Jun Angela Zhang (CoRR, 2022)

FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data. - Yongxin Guo; Tao Lin; Xiaoying Tang 002 (CoRR, 2022)

Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy. - Lin Wang; Yongxin Guo; Tao Lin; Xiaoying Tang 002 (CoRR, 2022)

Diversity Boosted Learning for Domain Generalization with Large Number of Domains. - Xi Leng; Xiaoying Tang 002; Yatao Bian (CoRR, 2022)

FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance. - Zibin Pan; Shuyi Wang; Chi Li; Haijin Wang; Xiaoying Tang 002; Junhua Zhao 001 (AAAI, 2023)

FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems. - Lin Wang; Zhichao Wang; Xi Leng; Xiaoying Tang 002 (Allerton, 2023)

Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis✱. - Huanyu Yan; Xiaoying Tang 002 (e-Energy, 2023)

FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction. - Yongxin Guo; Xiaoying Tang 002; Tao Lin (ICML, 2023)

RPCover: Recovering gRPC Dependency in Multilingual Projects. - Aoyang Fang; Ruiyu Zhou; Xiaoying Tang 002; Pinjia He (ASE, 2023)

DELTA: Diverse Client Sampling for Fasting Federated Learning. - Lin Wang; Yongxin Guo; Tao Lin; Xiaoying Tang 002 (NeurIPS, 2023)

PITPS: Balancing Local and Global Profits for Multiple Charging Stations Management. - Jie Liu 061; Yongxin Guo; Xiaoying Tang 002 (SmartGridComm, 2023)

Optimizing Pricing and Charging Strategy for Electric Taxis Considering Credit Mechanism. - Jiwei Zhang 014; Chenxi Sun; Xiaoying Tang 002 (SmartGridComm, 2023)

FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts. - Yongxin Guo; Xiaoying Tang 002; Tao Lin (CoRR, 2023)

FedEBA+: Towards Fair and Effective Federated Learning via Entropy-Based Model. - Lin Wang; Zhichao Wang; Xiaoying Tang 002 (CoRR, 2023)

Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. - Dun Zeng; Zenglin Xu; Yu Pan 005; Qifan Wang 001; Xiaoying Tang 002 (CoRR, 2023)

Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. - Dun Zeng; Zenglin Xu; Yu Pan 005; Qifan Wang 001; Xiaoying Tang 002 (CoRR, 2023)

Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning. - Yongxin Guo; Xiaoying Tang 002; Tao Lin (CoRR, 2023)

FedLF: Layer-Wise Fair Federated Learning. - Zibin Pan; Chi Li; Fangchen Yu; Shuyi Wang; Haijin Wang; Xiaoying Tang 002; Junhua Zhao 001 (AAAI, 2024)

Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs. - Sihang Zhao; Youliang Yuan; Xiaoying Tang 002; Pinjia He (EMNLP (Findings), 2024)

FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation. - Zhichao Wang; Lin Wang; Yongxin Guo; Ying-Jun Angela Zhang; Xiaoying Tang 002 (ICCT, 2024)

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering. - Yongxin Guo; Xiaoying Tang 002; Tao Lin (ICML, 2024)

Strategic V2G Trading in Local Energy Market Considering Minimum Energy Requirement. - Chenxi Sun; Xiaoying Tang 002; Jianwei Huang 001 (SmartGridComm, 2024)

Bounded Rational User Behavior Analysis-based Cooperative Pricing Scheme for CSs with Single-Output Multi-Port Charging Station. - Chen Yang; Jie Liu 061; Xi Leng; Xiaoying Tang 002 (SmartGridComm, 2024)

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. - Yongxin Guo; Jingyu Liu; Mingda Li; Xiaoying Tang 002; Xi Chen 003; Bo Zhao (CoRR, 2024)

Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing. - Yongxin Guo; Lin Wang; Xiaoying Tang 002; Tao Lin (CoRR, 2024)

Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Black Gradient Descent. - Lin Wang; Zhichao Wang; Xiaoying Tang 002 (CoRR, 2024)

Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning. - Lin Wang; Yang Chen; Yongxin Guo; Xiaoying Tang 002 (CoRR, 2024)

FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning. - Xinpeng Wang; Xiaoying Tang 002 (CoRR, 2024)

Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization. - Dun Zeng; Zheshun Wu; Shiyu Liu; Yu Pan 005; Xiaoying Tang 002; Zenglin Xu (CoRR, 2024)

Incentive Mechanism for Federated Learning With Random Client Selection. - Hongyi Wu; Xiaoying Tang 002; Ying-Jun Angela Zhang; Lin Gao 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Cooperative Charging Stations Management Under Irrational Hierarchy EV Behaviors. - Jie Liu 061; Shuoyao Wang; Xiaoying Tang 002 (IEEE Internet Things J., 2024)

A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement. - Chenxi Sun; Tongxin Li; Xiaoying Tang 002 (IEEE Trans. Ind. Informatics, 2024)

HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources. - Zhouruixing Zhu; Cheryl Lee; Xiaoying Tang 002; Pinjia He (ACM Trans. Softw. Eng. Methodol., 2024)

Optimal Pricing and Charging Strategy Design for Non-Cooperative Battery Swapping Stations. - Huanyu Yan; Chenxi Sun; Huanxin Liao; Xiaoying Tang 002 (IEEE Trans. Mob. Comput., 2024)

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. - Yongxin Guo; Jingyu Liu; Mingda Li; Dingxin Cheng; Xiaoying Tang 002; Dianbo Sui; Qingbin Liu; Xi Chen 003; Kevin Zhao (AAAI, 2025)

Federated Unlearning with Gradient Descent and Conflict Mitigation. - Zibin Pan; Zhichao Wang; Chi Li; Kaiyan Zheng; Boqi Wang; Xiaoying Tang 002; Junhua Zhao 001 (AAAI, 2025)

On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond. - Dun Zeng; Zenglin Xu; Shiyu Liu; Yu Pan 005; Qifan Wang 001; Xiaoying Tang 002 (AISTATS, 2025)

Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence. - Sihang Zhao; Shoucong Carol Xiong; Bo Pang 007; Xiaoying Tang 002; Pinjia He (CHI Extended Abstracts, 2025)

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models. - Bikang Pan; Qun Li; Xiaoying Tang 002; Wei Huang 034; Zhen Fang; Feng Liu; Jingya Wang; Jingyi Yu; Ye Shi 001 (CVPR, 2025)

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies. - Yongxin Guo; Xiaoying Tang 002; Tao Lin (ICLR, 2025)

Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. - Yongxin Guo; Zhenglin Cheng; Xiaoying Tang 002; Zhaopeng Tu; Tao Lin (ICLR, 2025)

TRACE: Temporal Grounding Video LLM via Causal Event Modeling. - Yongxin Guo; Jingyu Liu; Mingda Li; Qingbin Liu; Xi Chen 003; Xiaoying Tang 002 (ICLR, 2025)

Constraint first, shrinking next: A hybrid photovoltaic generation forecasting framework based on ensemble learning and multi-strategy improved optimizer. - Jionghao Zhu; Jie Liu 061; Xiaoying Tang 002 (Comput. Ind. Eng., 2025)

Balancing the trade-off between global and personalized performance in federated learning. - Zibin Pan; Chi Li; Fangchen Yu; Shuyi Wang; Xiaoying Tang 002; Junhua Zhao 001 (Inf. Sci., 2025)

Towards Understanding Performance Bugs in Popular Data Science Libraries. - Haowen Yang; Zhengda Li; Zhiqing Zhong; Xiaoying Tang 002; Pinjia He (Proc. ACM Softw. Eng., 2025)

Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance. - Dun Zeng; Zenglin Xu; Yu Pan 005; Xu Luo 003; Qifan Wang 001; Xiaoying Tang 002 (Trans. Mach. Learn. Res., 2025)

Real-Time Optimal Charging Strategy for Battery Swapping Stations Under Time-of-Use Pricing. - Huanyu Yan; Chenxi Sun; Huanxin Liao; Xiaoying Tang 002 (IEEE Trans. Netw. Sci. Eng., 2025)

DiOpt: Self-supervised Diffusion for Constrained Optimization. - Shutong Ding; Yimiao Zhou; Ke Hu; Xi Yao; Junchi Yan; Xiaoying Tang 002; Ye Shi 001 (CoRR, 2025)

Unlocking Personalized Knowledge in Federated Large Language Model: The Power of Mixture of Experts. - Fan Liu; Bikang Pan; Zhongyi Wang; Xi Yao; Xiaoying Tang 002; Jingya Wang; Ye Shi 001 (CoRR, 2025)

Incorporating Bounded Rationality Into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis. - Huanyu Yan; Xiaoying Tang 002 (IEEE Internet Things J., 2025)

Hierarchical Energy Management and Charging Scheduling in the PV-CS-EV Integrated System. - Jie Liu 061; Jionghao Zhu; Quanxue Guan; Yuan Luo 005; Xiaoying Tang 002 (IEEE Internet Things J., 2025)

Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. - Yudi Xiong; Yongxin Guo; Weike Pan; Qiang Yang 001; Zhong Ming 001; Xiaojin Zhang 002; Han Yu 001; Tao Lin; Xiaoying Tang 002 (IEEE Trans. Knowl. Data Eng., 2025)

G2RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance. - Yongxin Guo; Wenbo Deng; Zhenglin Cheng; Xiaoying Tang 002 (CoRR, 2025)

Personalized Federated Management and Load Balancing for Multiple Charging Stations. - Jie Liu 061; Yongxin Guo; Xi Leng; Xiaoying Tang 002 (IEEE Trans. Ind. Informatics, 2025)

Incorporating Credit Mechanism for Joint Pricing and Charging Optimization for an Electric Taxi Charging System. - Jiwei Zhang 014; Chenxi Sun; Xiaoying Tang 002 (IEEE Trans. Veh. Technol., 2025)