Guancheng Wan

34 papers · 2023–2026 · 8 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)

🐝 Cross-Pollinator (12) 🤝 Dynamic Duo (20) 🏆 Grand Slam 💎 Century Club (27) ⚡ Prolific Year (22) ❓ The Questioner 🗃️ Keyword Collector (79)

Conferences

ICML (13) AAAI (7) ACL (4) CVPR (3) ICLR (2) IJCAI (2) NIPS (2) EMNLP (1)

Top co-authors

Wenke Huang (24) Mang Ye (21) Guibin Zhang (10) He Li (6) Bo Du (5) Jian Liang (4) Bin Yang (4) Kun Wang (4) Dacheng Tao (3) Zihan Tan (3)

Research topics

Privacy (1)

Keywords

federated learning (6) graph neural network (6) federated graph learning (5) large language model (5) multi-agent system (3) backdoor attack (3) domain adaptation (3) model aggregation (2) contrastive learning (2) domain generalization (2) multimodal large language model (2) parameter-efficient fine-tuning (2) adversarial attack (2) prompt learning (1) medical image segmentation (1) adversarial training (1) person re-identification (1) protein structure prediction (1) knowledge distillation (1) adversarial learning (1)

Papers

Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy ACL 2026 PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models AAAI 2026 Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning ACL 2026 DAWN: Distributed LLM Multi-Agent Workflow Synthesis AAAI 2026 Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation AAAI 2026 Domain-Aware Suppression and Aggregation for Federated DG ReID AAAI 2026 Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense AAAI 2026 Protein Large Language Models: A Comprehensive Survey EMNLP 2025 Energy-based Backdoor Defense Against Federated Graph Learning ICLR 2025 Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems ICLR 2025 FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation ICML 2025 Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning ICML 2025 Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning ICML 2025 Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models ICML 2025 EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification ICML 2025 $S^2$FGL: Spatial Spectral Federated Graph Learning ICML 2025 Rethink GraphODE Generalization within Coupled Dynamical System ICML 2025 EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph ICML 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation ICML 2025 Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning ICML 2025 G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks ICML 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model IJCAI 2025 GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention ICML 2025 Label-Free Backdoor Attacks in Vertical Federated Learning AAAI 2025 G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems ACL 2025 MasRouter: Learning to Route LLMs for Multi-Agent Systems ACL 2025 LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models CVPR 2025 EMOE: Modality-Specific Enhanced Dynamic Emotion Experts CVPR 2025 FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity CVPR 2025 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NIPS 2024 S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning ICML 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning NIPS 2024 Federated Graph Semantic and Structural Learning IJCAI 2023