PaperHub

Guancheng Wan

~Guancheng_Wan1

25
论文总数
12.5
年均投稿
6.8
平均评分
接收情况24/25
会议分布
ICML
12
NeurIPS
10
ICLR
3

发表论文 (25 篇)

202523

7.3
4

HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning

NeurIPS 2025Spotlight
6.0
4

MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning

NeurIPS 2025Poster
7.2
4

Rethink GraphODE Generalization within Coupled Dynamical System

ICML 2025Spotlight
8.3
4

EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph

ICML 2025Poster
7.1
5

OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration

NeurIPS 2025Poster
6.8
5

Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning

NeurIPS 2025Poster
7.5
4

Energy-based Backdoor Defense Against Federated Graph Learning

ICLR 2025Oral
6.6
4

EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification

ICML 2025Poster
7.8
3

GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention

ICML 2025Poster
6.8
4

Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models

NeurIPS 2025Poster
6.0
4

Flow Field Reconstruction with Sensor Placement Policy Learning

NeurIPS 2025Poster
6.6
4

Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation

ICML 2025Poster
7.8
5

DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning

NeurIPS 2025Poster
6.1
4

FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation

ICML 2025Poster
7.2
4

$S^2$FGL: Spatial Spectral Federated Graph Learning

ICML 2025Poster
6.1
4

Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models

ICML 2025Poster
6.6
4

Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning

ICML 2025Poster
3.0
4

Divide And Conquer: Efficiently Decoupling Consensus And Divergence For Federated Large Language Model Fine-Tuning

ICLR 2025Rejected
7.2
4

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

ICML 2025Spotlight
7.8
4

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

NeurIPS 2025Spotlight
6.0
4

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

ICLR 2025Poster
7.2
4

Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning

ICML 2025Poster
7.2
4

Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning

ICML 2025Poster