conftrace_
← Authors

Zihan Chen

22 papers · 2021–2026 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (5)
πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (53) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (11) πŸ’Ž Century Club (19) πŸ—ƒοΈ Keyword Collector (98) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (5)

Conferences

EMNLP (6) AAAI (5) NIPS (4) ACL (3) ICML (2) CVPR (1) ICLR (1)

Top co-authors

Jundong Li (11) Song Wang (9) Cong Shen (7) Zhen Tan (4) Chengshuai Shi (3) Kai Fong Ernest Chong (3) Howard Hua Yang (2) Binchi Zhang (2) Yaochen Zhu (2) Zuozhu Liu (2)

Keywords

in-context learning (5) federated learning (4) large language model (4) few-shot learning (3) knowledge distillation (2) demonstration retrieval (2) retrieval-augmented generation (2) active learning (2) reinforcement learning (1) shortcut learning (1) unsupervised learning (1) label propagation (1) prompt engineering (1) named entity recognition (1) u-net architecture (1) feature extraction (1) harmful content (1) class imbalance (1) medical image segmentation (1) person re-identification (1)

Papers

WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety AAAI 2026 Global Adaptive Momentum Meets Local Personalized Perturbation: Efficient Federated LLM Fine-Tuning with Zeroth-Order Gradients ACL 2026 The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs ACL 2026 AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction EMNLP 2025 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025 Learning from Diverse Reasoning Paths with Routing and Collaboration EMNLP 2025 Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation EMNLP 2025 ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval EMNLP 2025 From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning EMNLP 2025 CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture EMNLP 2025 MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning ICML 2025 Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation AAAI 2024 Mixture of Demonstrations for In-Context Learning NIPS 2024 FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024 Efficient Prompt Optimization Through the Lens of Best Arm Identification NIPS 2024 FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data ICLR 2024 Verification of Machine Unlearning is Fragile ICML 2024 Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023 Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NIPS 2023 Spectral Co-Distillation for Personalized Federated Learning NIPS 2023 FedCorr: Multi-Stage Federated Learning for Label Noise Correction CVPR 2022 Robust Multi-Modality Person Re-identification AAAI 2021