Lixin Fan
22 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π
Renaissance Researcher
(8)
π
Conference Polyglot
(10)
π
Academic Marathon
(12)
πΊ
Lone Wolf
(3)
π€
Dynamic Duo
(12)
π¬
Deep Specialist
(11)
π
Century Club
(20)
β‘
Prolific Year
(6)
π
Conference Pioneer
ποΈ
Keyword Collector
(104)
π₯
Unstoppable
(7)
Conferences
IJCAI (4)
AAAI (3)
CVPR (3)
EMNLP (3)
NIPS (3)
ACL (1)
COLING (1)
ECCV (1)
ICCV (1)
ICML (1)
NAACL (1)
Top co-authors
Research topics
Keywords
federated learning
(9)
knowledge distillation
(5)
large language model
(5)
small language model
(3)
privacy preservation
(3)
feature learning
(2)
ambiguity attack
(2)
differential privacy
(2)
vertical federated learning
(2)
model compression
(2)
privacy protection
(2)
binary hashing
(2)
intellectual property
(2)
deep learning
(2)
right to be forgotten
(2)
attention mechanism
(1)
model robustness
(1)
catastrophic forgetting
(1)
image retrieval
(1)
similarity search
(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
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
EMNLP 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
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
CVPR 2025
Model-based Large Language Model Customization as Service
EMNLP 2025
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
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
NIPS 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
IJCAI 2024
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
IJCAI 2023
You Donβt Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakersβ Private Personas
NAACL 2022
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
IJCAI 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
NIPS 2019
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network
NIPS 2017
Accurate Robust and Efficient Error Estimation for Decision Trees
ICML 2016
Supervised Binary Hash Code Learning with Jensen Shannon Divergence
ICCV 2013