← Authors

Lixin Fan

21 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (39) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (12) 🐺 Lone Wolf (3) 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (11) πŸ’Ž Century Club (20) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (104) πŸ”₯ Unstoppable (7)

Conferences

IJCAI (4) AAAI (3) CVPR (3) EMNLP (3) NIPS (3) COLING (1) ECCV (1) ICCV (1) ICML (1) NAACL (1)

Top co-authors

Qiang Yang (13) Hanlin Gu (9) Chee Seng Chan (4) Yan Kang (4) Kam Woh Ng (3) Guoqiang Ma (3) Yuxing Han (3) Tao Fan (3) Yuanfeng Song (3) Gongxi Zhu (3)

Research topics

Privacy (4) Differential Privacy (2)

Keywords

federated learning (9) knowledge distillation (5) large language model (4) privacy preservation (3) differential privacy (2) deep learning (2) small language model (2) binary hashing (2) vertical federated learning (2) privacy protection (2) intellectual property (2) right to be forgotten (2) ambiguity attack (2) feature learning (2) attention mechanism (1) model robustness (1) catastrophic forgetting (1) image retrieval (1) similarity search (1) continual learning (1)

Papers

FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026
Model-based Large Language Model Customization as Service 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
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation 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
Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 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
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
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks CVPR 2021
A Health-friendly Speaker Verification System Supporting Mask Wearing AAAI 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