Xiao Huang

43 papers · 2017–2026 · 9 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9)

🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌱 Topic Pioneer 🏆 Grand Slam 🏆 Keyword Champion 🗃️ Keyword Collector (165) 🚀 Conference Pioneer 💎 Century Club (36) 🔥 Unstoppable (7) ⚡ Prolific Year (6)

Conferences

ACL (13) IJCAI (8) NIPS (6) AAAI (5) ICML (5) EMNLP (3) COLING (1) CONLL (1) ICLR (1)

Top co-authors

Qinggang Zhang (11) Junnan Dong (9) Chuang Zhou (9) Hao Chen (8) Daochen Zha (8) Xia Hu (7) Yilin Xiao (6) Kaixiong Zhou (6) Shengyuan Chen (5) Huachi Zhou (5)

Research topics

Learning Types (1)

Keywords

large language model (10) graph neural network (8) knowledge graph (7) retrieval-augmented generation (5) contrastive learning (4) text-attributed graph (3) named entity recognition (3) graph learning (2) reinforcement learning (2) language model (2) node embedding (2) proximal policy optimization (2) graph structure (2) graph classification (2) attention mechanism (2) sequence labeling (1) structured prediction (1) semi-supervised learning (1) domain adaptation (1) transfer learning (1)

Papers

You Don’t Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures AAAI 2026 LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning ACL 2026 Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG ACL 2026 Query-Aware Knowledge Retrieval via Hyperbolic Structuring ACL 2026 LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation ACL 2026 LLM Collaborative Filtering: User-Item Graph as New Language AAAI 2026 Benchmarking LLMs’ Mathematical Reasoning with Unseen Random Variables Questions AAAI 2026 Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation ICML 2025 Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation ACL 2025 Each graph is a new language: Graph Learning with LLMs ACL 2025 Text-Attributed Graph Learning with Coupled Augmentations COLING 2025 Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning EMNLP 2025 Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs ICLR 2025 Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate ICML 2025 Structure-Guided Large Language Models for Text-to-SQL Generation ICML 2025 Self-adaptive PSRO: Towards an Automatic Population-based Game Solver IJCAI 2024 KnowGPT: Knowledge Graph based Prompting for Large Language Models NIPS 2024 Configurable Mirror Descent: Towards a Unification of Decision Making ICML 2024 Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM ACL 2024 Denoising-Aware Contrastive Learning for Noisy Time Series IJCAI 2024 Reinforcement Nash Equilibrium Solver IJCAI 2024 Cost-efficient Knowledge-based Question Answering with Large Language Models NIPS 2024 Enhancing Explainable Rating Prediction through Annotated Macro Concepts ACL 2024 Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering ACL 2024 QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware EMNLP 2024 Entity Alignment with Noisy Annotations from Large Language Models NIPS 2024 Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs NIPS 2023 Similarizing the Influence of Words with Contrastive Learning to Defend Word-level Adversarial Text Attack ACL 2023 RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations ICML 2023 Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023 FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs IJCAI 2022 Dynamic Memory based Attention Network for Sequential Recommendation AAAI 2021 Dirichlet Energy Constrained Learning for Deep Graph Neural Networks NIPS 2021 Towards Deeper Graph Neural Networks with Differentiable Group Normalization NIPS 2020 Speeding up Very Fast Decision Tree with Low Computational Cost IJCAI 2020 Multi-Channel Graph Neural Networks IJCAI 2020 Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020 TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition ACL 2020 Teaching Machine Comprehension with Compositional Explanations EMNLP 2020 Large-Scale Heterogeneous Feature Embedding AAAI 2019 Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation CONLL 2019 Accelerated Local Anomaly Detection via Resolving Attributed Networks IJCAI 2017 A General Multi-agent Epistemic Planner Based on Higher-order Belief Change IJCAI 2017