Lixu Wang
14 papers · 2021–2026 · 5 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 (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(71)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Application Areas
(9)
Learning Types Β· Machine Learning
(7)
Core AI
(6)
Learning Paradigms Β· Artificial Intelligence
(6)
Deep Learning
(4)
Core Methods
(3)
Learning Paradigms Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Computer Science
(1)
Computer Vision
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Analysis
(1)
Keywords
federated learning
(5)
continual learning
(4)
contrastive learning
(3)
domain adaptation
(3)
catastrophic forgetting
(2)
class imbalance
(2)
backdoor attack
(2)
privacy protection
(2)
image retrieval
(1)
transfer learning
(1)
model quantization
(1)
domain generalization
(1)
class-incremental learning
(1)
prototype learning
(1)
few-shot learning
(1)
policy learning
(1)
privacy preservation
(1)
vision transformer
(1)
cross-domain learning
(1)
knowledge distillation
(1)
Papers
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
CVPR 2026
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems
ICLR 2025
FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models
ICCV 2025
Federated Continuous Category Discovery and Learning
ICCV 2025
On Large Language Model Continual Unlearning
ICLR 2025
Split Adaptation for Pre-trained Vision Transformers
CVPR 2025
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
NeurIPS 2024
Deja Vu: Continual Model Generalization for Unseen Domains
ICLR 2023
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
NeurIPS 2023
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning
ICCV 2023
Federated Class-Incremental Learning
CVPR 2022
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
ICLR 2022
Addressing Class Imbalance in Federated Learning
AAAI 2021
Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator
ICCV 2021