Rui Ye
20 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (43) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Dynamic Duo
(13)
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Grand Slam
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Triple Crown
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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(100)
Top co-authors
Research topics
Artificial Intelligence
(14)
Machine Learning
(14)
Core AI
(9)
Learning Paradigms Β· Artificial Intelligence
(9)
Application Areas
(7)
Learning Paradigms Β· Machine Learning
(6)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Optimization & Theory
(5)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Knowledge & Reasoning
(2)
Natural Language Processing
(2)
Core Methods
(2)
Resources & Methods
(2)
Keywords
federated learning
(8)
large language model
(6)
data heterogeneity
(3)
instruction tuning
(3)
knowledge distillation
(2)
multi-relational network
(2)
few-shot learning
(2)
safety alignment
(2)
mobile gui agent
(2)
prototype learning
(2)
reinforcement learning
(1)
knowledge transfer
(1)
preference alignment
(1)
multilingual nlp
(1)
neural tangent kernel
(1)
differential privacy
(1)
graph structure
(1)
model security
(1)
sequence modeling
(1)
model aggregation
(1)
Papers
CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis
AAAI 2026
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
ICLR 2025
FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models
ACL 2025
FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data
EMNLP 2025
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
ICML 2025
MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users
EMNLP 2025
Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation
CVPR 2025
SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning
AAAI 2025
Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
ACL 2025
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
ICLR 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
NeurIPS 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
EMNLP 2024
On the Vulnerability of Safety Alignment in Open-Access LLMs
ACL 2024
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
ICML 2024
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
ICML 2023
Personalized Federated Learning with Inferred Collaboration Graphs
ICML 2023
Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning
IJCAI 2022
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
AAAI 2022
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment
IJCAI 2019
Non-translational Alignment for Multi-relational Networks
IJCAI 2018