PPaperPicks

Xiaoxiao Li

36 papers at tracked venues · 24 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

NeurIPS ×7MICCAI ×6ICLR ×5IJCAI ×5ICML ×4AAAI ×3ACL ×1ACM MM ×1CVPR ×1ECCV ×1ICCV ×1ICDE ×1

Frequent coauthors

Han Yu
×17
Wenlong Deng
×7
Minghui Chen
×5
Xiaoli Tang
×5
Liping Yi
×5
Gang Wang
×5
Xiaoguang Liu
×5
Christos Thrampoulidis
×4
Ruinan Jin
×3
Lizhen Cui
×3
Chao Ren
×3
Qi Dou
×3

Papers

  1. For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs
    ACL 2026 ·
    Wenlong Deng
    ,
    Qi Zeng
    ,
    Jiaming Zhang
    ,
    Minghui Chen
    ,
    Zixin Ding
    ,
    Christos Thrampoulidis
    ,
    Boying Gong
    , Xiaoxiao Li
  2. TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems
    AAAI 2026 ·
    Yabo Ni
    ,
    Yuanpeng Cao
    ,
    Wenhang Zhou
    ,
    Bangyang Hong
    ,
    Zhongyi Zhang
    ,
    Enlei Cai
    ,
    Kangle Wu
    ,
    Anxiang Zeng
    ,
    Han Yu
    , Xiaoxiao Li
  3. A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning
    NeurIPS 2025 ·
    Xiaoli Tang
    ,
    Han Yu
    , Xiaoxiao Li
  4. Can Textual Gradient Work in Federated Learning?
    ICLR 2025 ·
    Minghui Chen
    ,
    Ruinan Jin
    ,
    Wenlong Deng
    ,
    Yuanyuan Chen
    ,
    Zhi Huang
    ,
    Han Yu
    , Xiaoxiao Li
  5. Class-wise Balancing Data Replay for Federated Class-Incremental Learning
    NeurIPS 2025 ·
    Zhuang Qi
    ,
    Ying-Peng Tang
    ,
    Lei Meng
    ,
    Han Yu
    , Xiaoxiao Li,
    Xiangxu Meng
  6. Commute Graph Neural Networks
    ICML 2025 ·
    Wei Zhuo
    ,
    Han Yu
    ,
    Guang Tan
    , Xiaoxiao Li
  7. DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
    ICLR 2025 ·
    Wenlong Deng
    ,
    Yize Zhao
    ,
    Vala Vakilian
    ,
    Minghui Chen
    , Xiaoxiao Li,
    Christos Thrampoulidis
  8. Federated Causally Invariant Feature Learning
    AAAI 2025 ·
    Xianjie Guo
    ,
    Kui Yu
    ,
    Lizhen Cui
    ,
    Han Yu
    , Xiaoxiao Li
  9. Federated Representation Angle Learning
    ICCV 2025 ·
    Liping Yi
    ,
    Han Yu
    ,
    Gang Wang
    ,
    Xiaoguang Liu
    , Xiaoxiao Li
  10. GMValuator: Similarity-based Data Valuation for Generative Models
    ICLR 2025 ·
    Jiaxi Yang
    ,
    Wenlong Deng
    ,
    Benlin Liu
    ,
    Yangsibo Huang
    ,
    James Zou
    , Xiaoxiao Li
  11. Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
    NeurIPS 2025 ·
    Zhuang Qi
    ,
    Pan Yu
    ,
    Lei Meng
    ,
    Sijin Zhou
    ,
    Han Yu
    , Xiaoxiao Li,
    Xiangxu Meng
  12. On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization
    NeurIPS 2025 ·
    Wenlong Deng
    ,
    Yi Ren
    ,
    Muchen Li
    ,
    Danica J. Sutherland
    , Xiaoxiao Li,
    Christos Thrampoulidis
  13. PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis
    MICCAI 2025 ·
    Beidi Zhao
    ,
    SangMook Kim
    ,
    Hao Chen
    ,
    Chen Zhou
    ,
    Zu-hua Gao
    ,
    Gang Wang
    , Xiaoxiao Li
  14. S4M: S4 for multivariate time series forecasting with Missing values
    ICLR 2025 ·
    Peng Jing
    ,
    Meiqi Yang
    ,
    Qiong Zhang
    , Xiaoxiao Li
  15. Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
    MICCAI 2025 ·
    Jiahui Yu
    ,
    Tianyu Ma
    ,
    Shenjian Gu
    ,
    Yuping Guo
    ,
    Feng Chen
    , Xiaoxiao Li,
    Yingke Xu
  16. pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices
    ICDE 2025 ·
    Liping Yi
    ,
    Han Yu
    ,
    Gang Wang
    ,
    Xiaoguang Liu
    , Xiaoxiao Li
  17. pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
    AAAI 2025 ·
    Liping Yi
    ,
    Han Yu
    ,
    Chao Ren
    ,
    Gang Wang
    ,
    Xiaoguang Liu
    , Xiaoxiao Li
  18. A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
    IJCAI 2024 ·
    Xiaoli Tang
    ,
    Han Yu
    ,
    Zengxiang Li
    , Xiaoxiao Li
  19. A Simple and Provable Approach for Learning on Noisy Labeled Medical Images
    ACM MM 2024 ·
    Nan Wang
    ,
    Zonglin Di
    ,
    Houlin He
    ,
    Qingchao Jiang
    , Xiaoxiao Li
  20. Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
    MICCAI 2024 ·
    Ruinan Jin
    ,
    Wenlong Deng
    ,
    Minghui Chen
    , Xiaoxiao Li
  21. Dual Calibration-based Personalised Federated Learning
    IJCAI 2024 ·
    Xiaoli Tang
    ,
    Han Yu
    ,
    Run Tang
    ,
    Chao Ren
    ,
    Anran Li
    , Xiaoxiao Li
  22. FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
    NeurIPS 2024 ·
    Ruinan Jin
    ,
    Zikang Xu
    ,
    Yuan Zhong
    ,
    Qingsong Yao
    ,
    Qi Dou
    ,
    S. Kevin Zhou
    , Xiaoxiao Li
  23. FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
    ICML 2024 ·
    Hongyi Peng
    ,
    Han Yu
    ,
    Xiaoli Tang
    , Xiaoxiao Li
  24. FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
    IJCAI 2024 ·
    Liping Yi
    ,
    Han Yu
    ,
    Zhuan Shi
    ,
    Gang Wang
    ,
    Xiaoguang Liu
    ,
    Lizhen Cui
    , Xiaoxiao Li
  25. Federated Learning with Local Openset Noisy Labels
    ECCV 2024 ·
    Zonglin Di
    ,
    Zhaowei Zhu
    , Xiaoxiao Li,
    Yang Liu
  26. Federated Model Heterogeneous Matryoshka Representation Learning
    NeurIPS 2024 ·
    Liping Yi
    ,
    Han Yu
    ,
    Chao Ren
    ,
    Gang Wang
    ,
    Xiaoguang Liu
    , Xiaoxiao Li
  27. Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate
    ICLR 2024 ·
    Meirui Jiang
    ,
    Anjie Le
    , Xiaoxiao Li,
    Qi Dou
  28. Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
    MICCAI 2024 ·
    Xiaoran Zhang
    ,
    Daniel H. Pak
    ,
    Shawn S. Ahn
    , Xiaoxiao Li,
    Chenyu You
    ,
    Lawrence H. Staib
    ,
    Albert J. Sinusas
    ,
    Alexandra L. N. Wong
    ,
    James S. Duncan
  29. HyperBrain: Anomaly Detection for Temporal Hypergraph Brain Networks
    MICCAI 2024 ·
    Sadaf Sadeghian
    , Xiaoxiao Li,
    Margo I. Seltzer
  30. Intelligent Agents for Auction-based Federated Learning: A Survey
    IJCAI 2024 ·
    Xiaoli Tang
    ,
    Han Yu
    , Xiaoxiao Li,
    Sarit Kraus
  31. Learning High-Order Relationships of Brain Regions
    ICML 2024 ·
    Weikang Qiu
    ,
    Huangrui Chu
    ,
    Selena Wang
    ,
    Haolan Zuo
    , Xiaoxiao Li,
    Yize Zhao
    ,
    Rex Ying
  32. Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
    NeurIPS 2024 ·
    Minghui Chen
    ,
    Meirui Jiang
    ,
    Xin Zhang
    ,
    Qi Dou
    ,
    Zehua Wang
    , Xiaoxiao Li
  33. Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
    ICML 2024 ·
    Chun-Yin Huang
    ,
    Kartik Srinivas
    ,
    Xin Zhang
    , Xiaoxiao Li
  34. Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification
    MICCAI 2024 ·
    Jiahui Yu
    ,
    Xuna Wang
    ,
    Tianyu Ma
    , Xiaoxiao Li,
    Yingke Xu
  35. Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
    IJCAI 2024 ·
    Xianjie Guo
    ,
    Kui Yu
    ,
    Hao Wang
    ,
    Lizhen Cui
    ,
    Han Yu
    , Xiaoxiao Li
  36. Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
    CVPR 2024 ·
    Wenlong Deng
    ,
    Christos Thrampoulidis
    , Xiaoxiao Li