Guancheng Wan

Orcid: 0000-0002-7083-6423

According to our database¹, Guancheng Wan authored at least 56 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Energy-Driven Steering: Reducing False Refusals in Large Language Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning.

[BibT_eX]

[DOI]

CoRR, September, 2025

LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space.

[BibT_eX]

[DOI]

CoRR, September, 2025

Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE.

[BibT_eX]

[DOI]

CoRR, September, 2025

Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts.

[BibT_eX]

[DOI]

CoRR, September, 2025

Multiplayer Nash Preference Optimization.

[BibT_eX]

[DOI]

CoRR, September, 2025

Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning.

[BibT_eX]

[DOI]

CoRR, September, 2025

MAPO: Mixed Advantage Policy Optimization.

[BibT_eX]

[DOI]

CoRR, September, 2025

Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency.

[BibT_eX]

[DOI]

CoRR, August, 2025

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents.

[BibT_eX]

[DOI]

CoRR, June, 2025

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

[BibT_eX]

[DOI]

CoRR, June, 2025

An Empirical Study of Federated Prompt Learning for Vision Language Model.

[BibT_eX]

[DOI]

CoRR, May, 2025

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.

[BibT_eX]

[DOI]

CoRR, May, 2025

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation.

[BibT_eX]

[DOI]

CoRR, May, 2025

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

[BibT_eX]

[DOI]

CoRR, April, 2025

Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, April, 2025

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, March, 2025

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.

[BibT_eX]

[DOI]

CoRR, March, 2025

Protein Large Language Models: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, February, 2025

EvoFlow: Evolving Diverse Agentic Workflows On The Fly.

[BibT_eX]

[DOI]

CoRR, February, 2025

FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

An Empirical Study of Federated Prompt Learning for Vision Language Model.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Rethink GraphODE Generalization within Coupled Dynamical System.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

S2FGL: Spatial Spectral Federated Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Energy-based Backdoor Defense Against Federated Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EMOE: Modality-Specific Enhanced Dynamic Emotion Experts.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MasRouter: Learning to Route LLMs for Multi-Agent Systems.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Label-Free Backdoor Attacks in Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph.

[BibT_eX]

[DOI]

CoRR, 2024

EpiLearn: A Python Library for Machine Learning in Epidemic Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Review of Graph Neural Networks in Epidemic Modeling.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Federated Graph Learning under Domain Shift with Generalizable Prototypes.

[BibT_eX]

[DOI]

Guancheng Wan

Wenke Huang

Mang Ye

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated Graph Semantic and Structural Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Guancheng Wan

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