Guo, Yongxin

10 publications

ICCV 2025 Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Yongxin Guo, Lin Wang, Xiaoying Tang, Tao Lin

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

ICLR 2025 Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies Yongxin Guo, Xiaoying Tang, Tao Lin

CVPR 2025 Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation Kunpeng Qiu, Zhiqiang Gao, Zhiying Zhou, Mingjie Sun, Yongxin Guo

ICLR 2025 TRACE: Temporal Grounding Video LLM via Causal Event Modeling Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang

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

NeurIPS 2025 Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM Zinuo Li, Xian Zhang, Yongxin Guo, Mohammed Bennamoun, Farid Boussaid, Girish Dwivedi, Luqi Gong, Qiuhong Ke

ICML 2024 FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo, Xiaoying Tang, Tao Lin

NeurIPS 2023 DELTA: Diverse Client Sampling for Fasting Federated Learning Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang

ICML 2023 FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo, Xiaoying Tang, Tao Lin