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

• Xiaoying Tang(aka: Xiao-Ying Tang) —disambiguation page
• Xiaoying Tang0001 — Southern University of Science and Technology, Shenzhen, Guangdong, China
• Xiaoying Tang0003 — Beijing Institute of Technology, School of Life Sciences, Beijing, China
• Xiaoying Tang0004 — Guangdong University of Technology, School of Art & Design, China

• 2025
• 
  [j21]
  Jionghao Zhu,Jie Liu,Xiaoying Tang:
  Constraint first, shrinking next: A hybrid photovoltaic generation forecasting framework based on ensemble learning and multi-strategy improved optimizer.Comput. Ind. Eng.203:111022 (2025)
• 
  [j20]
  Huanyu Yan,Xiaoying Tang:
  Incorporating Bounded Rationality Into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis.IEEE Internet Things J.12(11):15249-15260 (2025)
• 
  [j19]
  Jie Liu,Jionghao Zhu,Quanxue Guan,Yuan Luo,Xiaoying Tang:
  Hierarchical Energy Management and Charging Scheduling in the PV-CS-EV Integrated System.IEEE Internet Things J.12(13):24417-24430 (2025)
• 
  [j18]
  Zibin Pan,Chi Li,Fangchen Yu,Shuyi Wang,Xiaoying Tang,Junhua Zhao:
  Balancing the trade-off between global and personalized performance in federated learning.Inf. Sci.712:122154 (2025)
• 
  [j17]
  Haowen Yang,Zhengda Li,Zhiqing Zhong,Xiaoying Tang,Pinjia He:
  Towards Understanding Performance Bugs in Popular Data Science Libraries.Proc. ACM Softw. Eng.2(FSE):2335-2358 (2025)
• 
  [j16]
  Jie Liu,Yongxin Guo,Xi Leng,Xiaoying Tang:
  Personalized Federated Management and Load Balancing for Multiple Charging Stations.IEEE Trans. Ind. Informatics21(8):6262-6273 (2025)
• 
  [j15]
  Yudi Xiong,Yongxin Guo,Weike Pan,Qiang Yang,Zhong Ming,Xiaojin Zhang,Han Yu,Tao Lin,Xiaoying Tang:
  Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation.IEEE Trans. Knowl. Data Eng.37(7):3916-3932 (2025)
• 
  [j14]
  Dun Zeng,Zenglin Xu,Yu Pan,Xu Luo,Qifan Wang,Xiaoying Tang:
  Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance.Trans. Mach. Learn. Res.2025 (2025)
• 
  [j13]
  Huanyu Yan,Chenxi Sun,Huanxin Liao,Xiaoying Tang:
  Real-Time Optimal Charging Strategy for Battery Swapping Stations Under Time-of-Use Pricing.IEEE Trans. Netw. Sci. Eng.12(3):2043-2056 (2025)
• 
  [j12]
  Jiwei Zhang,Chenxi Sun,Xiaoying Tang:
  Incorporating Credit Mechanism for Joint Pricing and Charging Optimization for an Electric Taxi Charging System.IEEE Trans. Veh. Technol.74(8):12004-12015 (2025)
• 
  [c32]
  Yongxin Guo,Jingyu Liu,Mingda Li,Dingxin Cheng,Xiaoying Tang,Dianbo Sui,Qingbin Liu,Xi Chen,Kevin Zhao:
  VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding.AAAI2025:3302-3310
• 
  [c31]
  Zibin Pan,Zhichao Wang,Chi Li,Kaiyan Zheng,Boqi Wang,Xiaoying Tang,Junhua Zhao:
  Federated Unlearning with Gradient Descent and Conflict Mitigation.AAAI2025:19804-19812
• 
  [c30]
  Dun Zeng,Zenglin Xu,Shiyu Liu,Yu Pan,Qifan Wang,Xiaoying Tang:
  On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond.AISTATS2025:1081-1089
• 
  [c29]
  Sihang Zhao,Shoucong Carol Xiong,Bo Pang,Xiaoying Tang,Pinjia He:
  Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence.CHI Extended Abstracts2025:375:1-375:16
• 
  [c28]
  Bikang Pan,Qun Li,Xiaoying Tang,Wei Huang,Zhen Fang,Feng Liu,Jingya Wang,Jingyi Yu,Ye Shi:
  NLPrompt: Noise-Label Prompt Learning for Vision-Language Models.CVPR2025:19963-19973
• 
  [c27]
  Yongxin Guo,Xiaoying Tang,Tao Lin:
  Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies.ICLR2025
• 
  [c26]
  Yongxin Guo,Zhenglin Cheng,Xiaoying Tang,Zhaopeng Tu,Tao Lin:
  Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models.ICLR2025
• 
  [c25]
  Yongxin Guo,Jingyu Liu,Mingda Li,Qingbin Liu,Xi Chen,Xiaoying Tang:
  TRACE: Temporal Grounding Video LLM via Causal Event Modeling.ICLR2025
• 
  [i33]
  Shutong Ding,Yimiao Zhou,Ke Hu,Xi Yao,Junchi Yan,Xiaoying Tang,Ye Shi:
  DiOpt: Self-supervised Diffusion for Constrained Optimization.CoRRabs/2502.10330 (2025)
• 
  [i32]
  Sihang Zhao,Shoucong Carol Xiong,Bo Pang,Xiaoying Tang,Pinjia He:
  Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence.CoRRabs/2504.00941 (2025)
• 
  [i31]
  Fan Liu,Bikang Pan,Zhongyi Wang,Xi Yao,Xiaoying Tang,Jingya Wang,Ye Shi:
  Unlocking Personalized Knowledge in Federated Large Language Model: The Power of Mixture of Experts.CoRRabs/2506.00965 (2025)
• 
  [i30]
  Yongxin Guo,Wenbo Deng,Zhenglin Cheng,Xiaoying Tang:
  G²RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance.CoRRabs/2508.13023 (2025)
• 
  [i29]
  Songhan Zhang,Aoyang Fang,Yifan Yang,Ruiyi Cheng,Xiaoying Tang,Pinjia He:
  DynaCausal: Dynamic Causality-Aware Root Cause Analysis for Distributed Microservices.CoRRabs/2510.22613 (2025)
• 
  [i28]
  Songhan Zhang,Yuanhao Lai,Pengfei Zheng,Boxi Yu,Xiaoying Tang,Qiuai Fu,Pinjia He:
  CLEANet: Robust and Efficient Anomaly Detection in Contaminated Multivariate Time Series.CoRRabs/2510.22619 (2025)
• 2024
• 
  [j11]
  Jie Liu,Shuoyao Wang,Xiaoying Tang:
  Cooperative Charging Stations Management Under Irrational Hierarchy EV Behaviors.IEEE Internet Things J.11(6):11137-11151 (2024)
• 
  [j10]
  Chenxi Sun,Tongxin Li,Xiaoying Tang:
  A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement.IEEE Trans. Ind. Informatics20(10):11500-11510 (2024)
• 
  [j9]
  Huanyu Yan,Chenxi Sun,Huanxin Liao,Xiaoying Tang:
  Optimal Pricing and Charging Strategy Design for Non-Cooperative Battery Swapping Stations.IEEE Trans. Mob. Comput.23(12):13573-13588 (2024)
• 
  [j8]
  Hongyi Wu,Xiaoying Tang,Ying-Jun Angela Zhang,Lin Gao:
  Incentive Mechanism for Federated Learning With Random Client Selection.IEEE Trans. Netw. Sci. Eng.11(2):1922-1933 (2024)
• 
  [j7]
  Zhouruixing Zhu,Cheryl Lee,Xiaoying Tang,Pinjia He:
  HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources.ACM Trans. Softw. Eng. Methodol.33(8):200:1-200:25 (2024)
• 
  [c24]
  Zibin Pan,Chi Li,Fangchen Yu,Shuyi Wang,Haijin Wang,Xiaoying Tang,Junhua Zhao:
  FedLF: Layer-Wise Fair Federated Learning.AAAI2024:14527-14535
• 
  [c23]
  Sihang Zhao,Youliang Yuan,Xiaoying Tang,Pinjia He:
  Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs.EMNLP (Findings)2024:7535-7548
• 
  [c22]
  Zhichao Wang,Lin Wang,Yongxin Guo,Ying-Jun Angela Zhang,Xiaoying Tang:
  FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation.ICCT2024:451-455
• 
  [c21]
  Yongxin Guo,Xiaoying Tang,Tao Lin:
  FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering.ICML2024:16910-16944
• 
  [c20]
  Chenxi Sun,Xiaoying Tang,Jianwei Huang:
  Strategic V2G Trading in Local Energy Market Considering Minimum Energy Requirement.SmartGridComm2024:226-231
• 
  [c19]
  Chen Yang,Jie Liu,Xi Leng,Xiaoying Tang:
  Bounded Rational User Behavior Analysis-based Cooperative Pricing Scheme for CSs with Single-Output Multi-Port Charging Station.SmartGridComm2024:499-504
• 
  [i27]
  Yongxin Guo,Jingyu Liu,Mingda Li,Xiaoying Tang,Xi Chen,Bo Zhao:
  VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding.CoRRabs/2405.13382 (2024)
• 
  [i26]
  Yongxin Guo,Zhaopeng Tu,Zhenglin Cheng,Xiaoying Tang,Tao Lin:
  Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models.CoRRabs/2405.14297 (2024)
• 
  [i25]
  Yongxin Guo,Lin Wang,Xiaoying Tang,Tao Lin:
  Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing.CoRRabs/2405.16233 (2024)
• 
  [i24]
  Lin Wang,Zhichao Wang,Xiaoying Tang:
  Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Black Gradient Descent.CoRRabs/2406.11187 (2024)
• 
  [i23]
  Lin Wang,Yang Chen,Yongxin Guo,Xiaoying Tang:
  Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning.CoRRabs/2407.04460 (2024)
• 
  [i22]
  Yongxin Guo,Jingyu Liu,Mingda Li,Xiaoying Tang,Qingbin Liu,Xi Chen:
  TRACE: Temporal Grounding Video LLM via Causal Event Modeling.CoRRabs/2410.05643 (2024)
• 
  [i21]
  Xinpeng Wang,Xiaoying Tang:
  FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning.CoRRabs/2410.11267 (2024)
• 
  [i20]
  Sihang Zhao,Youliang Yuan,Xiaoying Tang,Pinjia He:
  Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs.CoRRabs/2410.11437 (2024)
• 
  [i19]
  Zhichao Wang,Lin Wang,Yongxin Guo,Ying-Jun Angela Zhang,Xiaoying Tang:
  FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation.CoRRabs/2410.20141 (2024)
• 
  [i18]
  Dun Zeng,Zheshun Wu,Shiyu Liu,Yu Pan,Xiaoying Tang,Zenglin Xu:
  Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization.CoRRabs/2411.16303 (2024)
• 
  [i17]
  Bikang Pan,Qun Li,Xiaoying Tang,Wei Huang,Zhen Fang,Feng Liu,Jingya Wang,Jingyi Yu,Ye Shi:
  NLPrompt: Noise-Label Prompt Learning for Vision-Language Models.CoRRabs/2412.01256 (2024)
• 
  [i16]
  Zibin Pan,Zhichao Wang,Chi Li,Kaiyan Zheng,Boqi Wang,Xiaoying Tang,Junhua Zhao:
  Federated Unlearning with Gradient Descent and Conflict Mitigation.CoRRabs/2412.20200 (2024)
• 2023
• 
  [c18]
  Zibin Pan,Shuyi Wang,Chi Li,Haijin Wang,Xiaoying Tang,Junhua Zhao:
  FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance.AAAI2023:9364-9371
• 
  [c17]
  Lin Wang,Zhichao Wang,Xi Leng,Xiaoying Tang:
  FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems.Allerton2023:1-8
• 
  [c16]
  Huanyu Yan,Xiaoying Tang:
  Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis✱.e-Energy2023:184-188
• 
  [c15]
  Yongxin Guo,Xiaoying Tang,Tao Lin:
  FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction.ICML2023:12034-12054
• 
  [c14]
  Aoyang Fang,Ruiyu Zhou,Xiaoying Tang,Pinjia He:
  RPCover: Recovering gRPC Dependency in Multilingual Projects.ASE2023:1930-1939
• 
  [c13]
  Lin Wang,Yongxin Guo,Tao Lin,Xiaoying Tang:
  DELTA: Diverse Client Sampling for Fasting Federated Learning.NeurIPS2023
• 
  [c12]
  Jie Liu,Yongxin Guo,Xiaoying Tang:
  PITPS: Balancing Local and Global Profits for Multiple Charging Stations Management.SmartGridComm2023:1-6
• 
  [c11]
  Jiwei Zhang,Chenxi Sun,Xiaoying Tang:
  Optimizing Pricing and Charging Strategy for Electric Taxis Considering Credit Mechanism.SmartGridComm2023:1-6
• 
  [i15]
  Yongxin Guo,Xiaoying Tang,Tao Lin:
  FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts.CoRRabs/2301.12379 (2023)
• 
  [i14]
  Lin Wang,Zhichao Wang,Xiaoying Tang:
  FedEBA+: Towards Fair and Effective Federated Learning via Entropy-Based Model.CoRRabs/2301.12407 (2023)
• 
  [i13]
  Dun Zeng,Zenglin Xu,Yu Pan,Qifan Wang,Xiaoying Tang:
  Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.CoRRabs/2310.02698 (2023)
• 
  [i12]
  Dun Zeng,Zenglin Xu,Yu Pan,Qifan Wang,Xiaoying Tang:
  Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.CoRRabs/2310.02702 (2023)
• 
  [i11]
  Yongxin Guo,Xiaoying Tang,Tao Lin:
  Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning.CoRRabs/2310.05397 (2023)
• 
  [i10]
  Lin Wang,Zhichao Wang,Xi Leng,Xiaoying Tang:
  FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems.CoRRabs/2310.20193 (2023)
• 2022
• 
  [c10]
  Hongyi Wu,Xiaoying Tang,Ying-Jun Angela Zhang,Lin Gao:
  Incentive Mechanism for Federated Learning based on Random Client Sampling.GLOBECOM (Workshops)2022:1640-1645
• 
  [c9]
  Huanyu Yan,Chenxi Sun,Huanxin Liao,Xiaoying Tang:
  Battery Charging Strategies Design for Battery Swapping Stations: A Game Theoretic Approach.SmartGridComm2022:179-185
• 
  [c8]
  Jie Liu,Shuoyao Wang,Xiaoying Tang:
  Pricing and Charging Scheduling for Cooperative Electric Vehicle Charging Stations via Deep Reinforcement Learning.SmartGridComm2022:212-217
• 
  [c7]
  Heyu Ren,Chenxi Sun,Xiaoying Tang:
  A Game Approach for EV Brands' Investment Planning of Battery Swapping Stations.SmartGridComm2022:353-359
• 
  [i9]
  Xiaoying Tang,Chenxi Sun,Suzhi Bi,Shuoyao Wang,Ying-Jun Angela Zhang:
  A Holistic Review on Advanced Bi-directional EV Charging Control Algorithms.CoRRabs/2202.13565 (2022)
• 
  [i8]
  Yongxin Guo,Tao Lin,Xiaoying Tang:
  FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data.CoRRabs/2205.13462 (2022)
• 
  [i7]
  Lin Wang,Yongxin Guo,Tao Lin,Xiaoying Tang:
  Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy.CoRRabs/2205.13925 (2022)
• 
  [i6]
  Xi Leng,Xiaoying Tang,Yatao Bian:
  Diversity Boosted Learning for Domain Generalization with Large Number of Domains.CoRRabs/2207.13865 (2022)
• 2021
• 
  [j6]
  Tong Wu,Ying-Jun Angela Zhang,Xiaoying Tang:
  Online Detection of Events With Low-Quality Synchrophasor Measurements Based on $i$Forest.IEEE Trans. Ind. Informatics17(1):168-178 (2021)
• 
  [j5]
  Ankun Yu,Xiaoying Tang,Ying Jun Zhang,Jianwei Huang:
  Continuous Group-Wise Double Auction for Prosumers in Distribution-Level Markets.IEEE Trans. Smart Grid12(6):4822-4833 (2021)
• 
  [c6]
  Chenxi Sun,Tongxin Li,Xiaoying Tang:
  Data-driven Electric Vehicle Charging Station Placement for Incentivizing Potential Demand.SmartGridComm2021:27-32
• 
  [i5]
  Yongxin Guo,Tao Lin,Xiaoying Tang:
  Towards Federated Learning on Time-Evolving Heterogeneous Data.CoRRabs/2112.13246 (2021)

• 2019
• 
  [j4]
  Xiaoying Tang,Suzhi Bi,Ying-Jun Angela Zhang:
  Distributed Routing and Charging Scheduling Optimization for Internet of Electric Vehicles.IEEE Internet Things J.6(1):136-148 (2019)
• 2018
• 
  [j3]
  Ying Jun (Angela) Zhang,Changhong Zhao,Wanrong Tang,Steven H. Low:
  Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control.IEEE Trans. Smart Grid9(2):712-723 (2018)
• 
  [c5]
  Tong Wu,Ying-Jun Angela Zhang,Xiaoying Tang:
  Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection.SmartGridComm2018:1-7
• 2017
• 
  [c4]
  Wanrong Tang,Suzhi Bi,Ying Jun Zhang,Xiaojun Yuan:
  Joint Routing and Charging Scheduling Optimizations for Smart-Grid Enabled Electric Vehicle Networks.VTC Spring2017:1-5
• 2016
• 
  [j2]
  Wanrong Tang,Suzhi Bi,Ying Jun Zhang:
  Online Charging Scheduling Algorithms of Electric Vehicles in Smart Grid: An Overview.IEEE Commun. Mag.54(12):76-83 (2016)
• 
  [i4]
  Ying Jun Zhang,Changhong Zhao,Wanrong Tang,Steven H. Low:
  Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control.CoRRabs/1604.00952 (2016)
• 
  [i3]
  Wanrong Tang,Suzhi Bi,Ying Jun Zhang:
  Online Charging Scheduling Algorithms of Electric Vehicles in Smart Grid: An Overview.CoRRabs/1609.02791 (2016)
• 2015
• 
  [c3]
  Wanrong Tang,Ying Jun (Angela) Zhang:
  Optimal battery energy storage system control in microgrid with renewable energy generation.SmartGridComm2015:846-851
• 
  [i2]
  Wanrong Tang,Ying Jun Zhang:
  Online Electric Vehicle Charging Control with Multistage Stochastic Programming.CoRRabs/1502.01456 (2015)
• 2014
• 
  [j1]
  Wanrong Tang,Suzhi Bi,Ying Jun (Angela) Zhang:
  Online Coordinated Charging Decision Algorithm for Electric Vehicles Without Future Information.IEEE Trans. Smart Grid5(6):2810-2824 (2014)
• 
  [c2]
  Wanrong Tang,Ying Jun Zhang:
  Online electric vehicle charging control with multistage stochastic programming.CISS2014:1-6
• 2013
• 
  [c1]
  Wanrong Tang,Suzhi Bi,Ying Jun Zhang:
  Online Speeding Optimal Charging Algorithm for electric vehicles without future information.SmartGridComm2013:175-180
• 
  [i1]
  Wanrong Tang,Suzhi Bi,Ying Jun Zhang:
  Online Coordinated Charging Decision Algorithm for Electric Vehicles without Future Information.CoRRabs/1310.3580 (2013)

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