← Authors

Xiaoxiao Li

46 papers · 2015–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (50) πŸ† Grand Slam πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (13) πŸ—ƒοΈ Keyword Collector (116) ⚑ Prolific Year (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (45) πŸ”₯ Unstoppable (9) ❓ The Questioner (2)

Conferences

ICLR (9) ICML (8) IJCAI (5) MICCAI (5) AAAI (4) CVPR (4) ECCV (4) NIPS (4) ICCV (2) INTERSPEECH (1)

Top co-authors

Han Yu (14) Gang Wang (5) Qi Dou (5) Xiaoli Tang (5) Chen Change Loy (5) Wenlong Deng (5) Minghui Chen (4) Xiaoguang Liu (4) Liping Yi (4) Ziwei Liu (4)

Keywords

federated learning (11) communication efficiency (3) representation learning (2) convolutional neural network (2) personalized learning (2) medical imaging (2) semantic segmentation (2) convergence analysis (2) image classification (2) privacy preservation (2) feature extractor (2) auction-based federated learning (2) knowledge distillation (2) knowledge transfer (2) model heterogeneous (2) causal discovery (1) feature selection (1) zero-shot learning (1) feature extraction (1) variable selection (1)

Papers

TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems AAAI 2026
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models ICLR 2025
S4M: S4 for multivariate time series forecasting with Missing values ICLR 2025
Federated Representation Angle Learning ICCV 2025
Federated Causally Invariant Feature Learning AAAI 2025
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning AAAI 2025
Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt MICCAI 2025
PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis MICCAI 2025
Commute Graph Neural Networks ICML 2025
Multi-Session Budget Optimization for Forward Auction-based Federated Learning ICML 2025
Can Textual Gradient Work in Federated Learning? ICLR 2025
GMValuator: Similarity-based Data Valuation for Generative Models ICLR 2025
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning CVPR 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning NIPS 2024
Federated Model Heterogeneous Matryoshka Representation Learning NIPS 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models NIPS 2024
Federated Learning with Local Openset Noisy Labels ECCV 2024
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate ICLR 2024
Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors ICML 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler ICML 2024
Learning High-Order Relationships of Brain Regions ICML 2024
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024
Dual Calibration-based Personalised Federated Learning IJCAI 2024
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning IJCAI 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024
Intelligent Agents for Auction-based Federated Learning: A Survey IJCAI 2024
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification MICCAI 2024
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration MICCAI 2024
Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification MICCAI 2024
Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023
PerFedMask: Personalized Federated Learning with Optimized Masking Vectors ICLR 2023
Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection ECCV 2022
Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients ICLR 2022
SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition INTERSPEECH 2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? AAAI 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization ICLR 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021
Subgraph Federated Learning with Missing Neighbor Generation NIPS 2021
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization ICLR 2021
Knowledge Distillation Meets Self-Supervision ECCV 2020
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE ICML 2020
Deep Flow-Guided Video Inpainting CVPR 2019
Hybrid Task Cascade for Instance Segmentation CVPR 2019
Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation ECCV 2018
Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade CVPR 2017
Semantic Image Segmentation via Deep Parsing Network ICCV 2015