Xu Chu

37 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (20) 🌍 Conference Polyglot (8)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (22) 👑 Triple Crown 🏆 Grand Slam 🏆 Keyword Champion (2) 🗃️ Keyword Collector (55) 🔥 Unstoppable (5) ⚡ Prolific Year (5) 💎 Century Club (30)

Conferences

ACL (14) ICML (6) IJCAI (4) AAAI (3) EMNLP (3) ICLR (3) NIPS (3) CVPR (1)

Top co-authors

Yasha Wang (24) Junfeng Zhao (14) Yongxin Xu (11) Xinke Jiang (9) Yang Lin (7) Yujie Feng (7) Wenwu Zhu (6) Xinyu Ma (6) Rihong Qiu (6) Ruizhe Zhang (5)

Keywords

large language model (8) retrieval-augmented generation (6) domain generalization (4) continual learning (4) catastrophic forgetting (3) representation learning (3) knowledge fusion (2) graph classification (2) information retrieval (2) domain adaptation (2) electronic health record (2) optimal transport (2) model merging (2) graph neural network (2) knowledge transfer (2) document representation (2) label sparsity (2) self-supervised learning (1) direct preference optimization (1) feature learning (1)

Papers

MuSe: Multi-Stage Graph Reasoning via Vision-Language Models ACL 2026 Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization ACL 2026 RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes Domains ACL 2026 Robust Explanations for User Trust in Enterprise NLP Systems ACL 2026 FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning ACL 2026 DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search ACL 2026 Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models AAAI 2026 Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains ACL 2025 GeoEdit: Geometric Knowledge Editing for Large Language Models EMNLP 2025 AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025 3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection EMNLP 2025 DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing ICLR 2025 DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations AAAI 2025 KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models AAAI 2025 TC–RAG: Turing–Complete RAG’s Case study on Medical LLM Systems ACL 2025 Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning ACL 2025 HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses ACL 2025 Recurrent Knowledge Identification and Fusion for Language Model Continual Learning ACL 2025 TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees ICLR 2025 Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation ICML 2025 Game Theory Meets Large Language Models: A Systematic Survey IJCAI 2025 TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation ACL 2024 Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet ICML 2024 SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction NIPS 2024 Temporal Domain Generalization via Learning Instance-level Evolving Patterns IJCAI 2024 RAGraph: A General Retrieval-Augmented Graph Learning Framework NIPS 2024 Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation ACL 2024 Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation ICML 2024 Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications NIPS 2023 Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks ICML 2023 Learning Hyper Label Model for Programmatic Weak Supervision ICLR 2023 Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level CVPR 2023 Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words ACL 2023 DNA: Domain Generalization with Diversified Neural Averaging ICML 2022 Domain Generalization through the Lens of Angular Invariance IJCAI 2022 Distance Metric Learning with Joint Representation Diversification ICML 2020 MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction IJCAI 2019