Lixin Fan
23 papers · 2013–2026 · 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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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(11)
🤝
Dynamic Duo
(14)
🌟
Keyword Trendsetter Combo
(3)
🏆
Keyword Champion
🧭
Keyword Pioneer
🚀
Conference Pioneer
⚡
Prolific Year · Productive
🗃️
Keyword Collector
(110)
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(20)
Artificial Intelligence
(16)
Application Areas
(13)
Learning Paradigms · Artificial Intelligence
(12)
Core AI
(9)
Deep Learning
(8)
Security & Privacy
(7)
Learning Paradigms · Machine Learning
(7)
Core Methods
(6)
Learning Types · Deep Learning
(6)
Optimization & Theory
(6)
Privacy
(5)
Learning Types · Machine Learning
(3)
Natural Language Processing
(2)
Architectures
(2)
Keywords
federated learning
(9)
knowledge distillation
(5)
large language model
(5)
small language model
(3)
privacy preservation
(3)
deep learning
(2)
ambiguity attack
(2)
feature learning
(2)
right to be forgotten
(2)
model compression
(2)
differential privacy
(2)
vertical federated learning
(2)
synthetic data generation
(2)
intellectual property
(2)
binary hashing
(2)
privacy protection
(2)
attention mechanism
(1)
model robustness
(1)
catastrophic forgetting
(1)
image retrieval
(1)
Papers
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients
AAAI 2026
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
ACL 2026
PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data
CVPR 2026
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
EMNLP 2025
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
CVPR 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
COLING 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
CVPR 2025
Model-based Large Language Model Customization as Service
EMNLP 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
EMNLP 2025
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
AAAI 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
ECCV 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
NeurIPS 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
IJCAI 2024
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
IJCAI 2023
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
IJCAI 2022
You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas
NAACL 2022
A Health-friendly Speaker Verification System Supporting Mask Wearing
AAAI 2021
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks
CVPR 2021
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes
IJCAI 2020
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
NeurIPS 2019
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network
NeurIPS 2017
Accurate Robust and Efficient Error Estimation for Decision Trees
ICML 2016
Supervised Binary Hash Code Learning with Jensen Shannon Divergence
ICCV 2013