Towards Federated Learning on Time-Evolving Heterogeneous Data. - Yongxin Guo 001; Tao Lin; Xiaoying Tang 002 (CoRR, 2021)

FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data. - Yongxin Guo 001; 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 001; Tao Lin; Xiaoying Tang 002 (CoRR, 2022)

FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction. - Yongxin Guo 001; Xiaoying Tang 002; Tao Lin (ICML, 2023)

DELTA: Diverse Client Sampling for Fasting Federated Learning. - Lin Wang; Yongxin Guo 001; Tao Lin; Xiaoying Tang 002 (NeurIPS, 2023)

PITPS: Balancing Local and Global Profits for Multiple Charging Stations Management. - Jie Liu 061; Yongxin Guo 001; Xiaoying Tang 002 (SmartGridComm, 2023)

FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts. - Yongxin Guo 001; Xiaoying Tang 002; Tao Lin (CoRR, 2023)

Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning. - Yongxin Guo 001; Xiaoying Tang 002; Tao Lin (CoRR, 2023)

FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation. - Zhichao Wang; Lin Wang; Yongxin Guo 001; Ying-Jun Angela Zhang; Xiaoying Tang 002 (ICCT, 2024)

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering. - Yongxin Guo 001; Xiaoying Tang 002; Tao Lin (ICML, 2024)

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. - Yongxin Guo 001; 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 001; Lin Wang; Xiaoying Tang 002; Tao Lin (CoRR, 2024)

Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning. - Lin Wang; Yang Chen; Yongxin Guo 001; Xiaoying Tang 002 (CoRR, 2024)

Enhancing Long Video Understanding via Hierarchical Event-Based Memory. - Dingxin Cheng; Mingda Li; Jingyu Liu; Yongxin Guo 001; Bin Jiang; Qingbin Liu; Xi Chen 003; Bo Zhao (CoRR, 2024)

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding. - Yongxin Guo 001; Jingyu Liu; Mingda Li; Dingxin Cheng; Xiaoying Tang 002; Dianbo Sui; Qingbin Liu; Xi Chen 003; Kevin Zhao (AAAI, 2025)

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies. - Yongxin Guo 001; Xiaoying Tang 002; Tao Lin (ICLR, 2025)

Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models. - Yongxin Guo 001; Zhenglin Cheng; Xiaoying Tang 002; Zhaopeng Tu; Tao Lin (ICLR, 2025)

TRACE: Temporal Grounding Video LLM via Causal Event Modeling. - Yongxin Guo 001; Jingyu Liu; Mingda Li; Qingbin Liu; Xi Chen 003; Xiaoying Tang 002 (ICLR, 2025)

Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM. - Zinuo Li; Xian Zhang; Yongxin Guo 001; Mohammed Bennamoun; Farid Boussaïd; Girish Dwivedi; Luqi Gong; Qiuhong Ke (CoRR, 2025)

Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. - Yudi Xiong; Yongxin Guo 001; 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 001; Wenbo Deng; Zhenglin Cheng; Xiaoying Tang 002 (CoRR, 2025)

Personalized Federated Management and Load Balancing for Multiple Charging Stations. - Jie Liu 061; Yongxin Guo 001; Xi Leng; Xiaoying Tang 002 (IEEE Trans. Ind. Informatics, 2025)