Xiaoxiao Li
50 papers · 2015–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (68) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(18)
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Dynamic Duo
(14)
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Topic Evolution
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Keyword Champion
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Triple Crown
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Grand Slam
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Conference Pioneer
π₯
Unstoppable Β· Silver
β
The Questioner
(2)
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Prolific Year Β· Prolific
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Century Club Β· Silver
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Renaissance Researcher
(8)
ποΈ
Keyword Collector
(188)
Venues
Top co-authors
Research topics
Machine Learning
(29)
Artificial Intelligence
(25)
Learning Paradigms Β· Artificial Intelligence
(21)
Deep Learning
(16)
Application Areas
(13)
Core AI
(11)
Optimization & Theory
(10)
Core Methods
(9)
Learning Paradigms Β· Machine Learning
(8)
Architectures
(7)
Learning Types Β· Deep Learning
(7)
Computer Vision
(5)
Learning Types Β· Machine Learning
(5)
Processing
(4)
Knowledge & Reasoning
(3)
Keywords
federated learning
(18)
knowledge distillation
(3)
auction-based federated learning
(3)
communication efficiency
(3)
personalized learning
(3)
convolutional neural network
(2)
generative model
(2)
personalized model
(2)
model merging
(2)
privacy preservation
(2)
image classification
(2)
speaker diarization
(2)
domain adaptation
(2)
neural tangent kernel
(2)
data valuation
(2)
semantic segmentation
(2)
convergence analysis
(2)
medical imaging
(2)
representation learning
(2)
knowledge transfer
(2)
Papers
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
CVPR 2026
For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs
ACL 2026
TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems
AAAI 2026
Can Textual Gradient Work in Federated Learning?
ICLR 2025
Commute Graph Neural Networks
ICML 2025
Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge
Interspeech 2025
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
ICLR 2025
Federated Causally Invariant Feature Learning
AAAI 2025
Federated Representation Angle Learning
ICCV 2025
GMValuator: Similarity-based Data Valuation for Generative Models
ICLR 2025
Multi-Session Budget Optimization for Forward Auction-based Federated Learning
ICML 2025
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
AAAI 2025
PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis
MICCAI 2025
S4M: S4 for multivariate time series forecasting with Missing values
ICLR 2025
Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
MICCAI 2025
Speaker Diarization with Overlapping Community Detection Using Graph Attention Networks and Label Propagation Algorithm
Interspeech 2025
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
IJCAI 2024
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
MICCAI 2024
Dual Calibration-based Personalised Federated Learning
IJCAI 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
NeurIPS 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
ICML 2024
Federated Learning with Local Openset Noisy Labels
ECCV 2024
Federated Model Heterogeneous Matryoshka Representation Learning
NeurIPS 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
IJCAI 2024
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate
ICLR 2024
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
MICCAI 2024
Intelligent Agents for Auction-based Federated Learning: A Survey
IJCAI 2024
Learning High-Order Relationships of Brain Regions
ICML 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
NeurIPS 2024
Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
ICML 2024
Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification
MICCAI 2024
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
IJCAI 2024
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
CVPR 2024
Federated Adversarial Learning: A Framework with Convergence Analysis
ICML 2023
PerFedMask: Personalized Federated Learning with Optimized Masking Vectors
ICLR 2023
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
AAAI 2022
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
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
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
ICLR 2021
Subgraph Federated Learning with Missing Neighbor Generation
NeurIPS 2021
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
ICML 2020
Knowledge Distillation Meets Self-Supervision
ECCV 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