Tang, Xiaoying

21 publications

CVPR 2025 AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer Jin Lyu, Tianyi Zhu, Yi Gu, Li Lin, Pujin Cheng, Yebin Liu, Xiaoying Tang, Liang An

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

TMLR 2025 Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang

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

NeurIPS 2025 Fairness-Aware Anomaly Detection via Fair Projection Feng Xiao, Xiaoying Tang, Jicong Fan

AAAI 2025 Federated Unlearning with Gradient Descent and Conflict Mitigation Zibin Pan, Zhichao Wang, Chi Li, Kaiyan Zheng, Boqi Wang, Xiaoying Tang, Junhua Zhao

NeurIPS 2025 Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting Haoyu Zhang, Yinan Zhang, Chaolong Ying, Xiaoying Tang, Tianshu Yu

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

AISTATS 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang

ICLRW 2025 Rich Feature Learning via Diversification Xi Leng, Yongqiang Chen, Xiaoying Tang, Yatao Bian

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

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

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

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

MIDL 2023 JOINED : Prior Guided Multi-Task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection Huaqing He, Li Lin, Zhiyuan Cai, Xiaoying Tang

ICCV 2023 PRIOR: Prototype Representation Joint Learning from Medical Images and Reports Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang

NeurIPSW 2022 Diversity Boosted Learning for Domain Generalization with a Large Number of Domains Xi Leng, Yatao Bian, Xiaoying Tang