Li, Xiaoxiao

45 publications

NeurIPS 2025 A Reinforcement Learning-Based Bidding Strategy for Data Consumers in Auction-Based Federated Learning Xiaoli Tang, Han Yu, Xiaoxiao Li

ICLR 2025 Can Textual Gradient Work in Federated Learning? Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li

NeurIPS 2025 Class-Wise Balancing Data Replay for Federated Class-Incremental Learning Zhuang Qi, Ying-Peng Tang, Lei Meng, Han Yu, Xiaoxiao Li, Xiangxu Meng

ICML 2025 Commute Graph Neural Networks Wei Zhuo, Han Yu, Guang Tan, Xiaoxiao Li

ICLR 2025 DARE the Extreme: Revisiting Delta-Parameter Pruning for Fine-Tuned Models Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis

AAAI 2025 Federated Causally Invariant Feature Learning Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li

TMLR 2025 Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li

ICCV 2025 Federated Representation Angle Learning Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

ICLR 2025 GMValuator: Similarity-Based Data Valuation for Generative Models Jiaxi Yang, Wenlong Deng, Benlin Liu, Yangsibo Huang, James Zou, Xiaoxiao Li

NeurIPS 2025 Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning Zhuang Qi, Yu Pan, Lei Meng, Sijin Zhou, Han Yu, Xiaoxiao Li, Xiangxu Meng

ICML 2025 Multi-Session Budget Optimization for Forward Auction-Based Federated Learning Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li

NeurIPS 2025 On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization Wenlong Deng, Yi Ren, Muchen Li, Danica J. Sutherland, Xiaoxiao Li, Christos Thrampoulidis

ICLR 2025 S4M: S4 for Multivariate Time Series Forecasting with Missing Values Peng Jing, Meiqi Yang, Qiong Zhang, Xiaoxiao Li

AAAI 2025 pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

IJCAI 2024 A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li

JAIR 2024 Differentially Private Neural Tangent Kernels (DP-NTK) for Privacy-Preserving Data Generation Yi Yang, Kamil Adamczewski, Xiaoxiao Li, Danica J. Sutherland, Mijung Park

IJCAI 2024 Dual Calibration-Based Personalised Federated Learning Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li

NeurIPS 2024 FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models Ruinan Jin, Zikang Xu, Yuan Zhong, Qingsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li

ICML 2024 FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li

IJCAI 2024 FedSSA: Semantic Similarity-Based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li

ECCV 2024 Federated Learning with Local Openset Noisy Labels Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu

NeurIPS 2024 Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li

ICLR 2024 Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou

IJCAI 2024 Intelligent Agents for Auction-Based Federated Learning: A Survey Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus

ICML 2024 Learning High-Order Relationships of Brain Regions Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying

NeurIPS 2024 Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li

ICML 2024 Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang, Kartik Srinivas, Xin Zhang, Xiaoxiao Li

IJCAI 2024 Sample Quality Heterogeneity-Aware Federated Causal Discovery Through Adaptive Variable Space Selection Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li

CVPR 2024 Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li

ICML 2023 Federated Adversarial Learning: A Framework with Convergence Analysis Xiaoxiao Li, Zhao Song, Jiaming Yang

ICLR 2023 PerFedMask: Personalized Federated Learning with Optimized Masking Vectors Mehdi Setayesh, Xiaoxiao Li, Vincent W.S. Wong

AAAI 2022 Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? Weina Jin, Xiaoxiao Li, Ghassan Hamarneh

ECCV 2022 Exploring Resolution and Degradation Clues as Self-Supervised Signal for Low Quality Object Detection Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada

ICLR 2022 Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama

NeurIPSW 2022 Improving Fairness in Image Classification via Sketching Ruichen Yao, Ziteng Cui, Xiaoxiao Li, Lin Gu

ICML 2021 FL-NTK: A Neural Tangent Kernel-Based Framework for Federated Learning Analysis Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang

ICLR 2021 FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou

ICLR 2021 On InstaHide, Phase Retrieval, and Sparse Matrix Factorization Sitan Chen, Xiaoxiao Li, Zhao Song, Danyang Zhuo

NeurIPS 2021 Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu Ming Yiu

ICML 2020 Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE Juntang Zhuang, Nicha Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James Duncan

ECCV 2020 Knowledge Distillation Meets Self-Supervision Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy

ICCVW 2019 Decision Explanation and Feature Importance for Invertible Networks Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan

ECCV 2018 Video Object Segmentation with Joint Re-Identification and Attention-Aware Mask Propagation Xiaoxiao Li, Chen Change Loy

CVPR 2017 Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade Xiaoxiao Li, Ziwei Liu, Ping Luo, Chen Change Loy, Xiaoou Tang

ICCV 2015 Semantic Image Segmentation via Deep Parsing Network Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen-Change Loy, Xiaoou Tang