Xiao Huang
44 papers · 2017–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (85) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
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Grand Slam
π€
Dynamic Duo
(11)
π§¬
Topic Evolution
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Keyword Champion
β‘
Prolific Year Β· Prolific
ποΈ
Keyword Collector
(208)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Renaissance Researcher
(8)
Venues
Top co-authors
Research topics
Machine Learning
(29)
Artificial Intelligence
(23)
Deep Learning
(19)
Core AI
(18)
Natural Language Processing
(14)
Core Methods
(14)
Learning Types Β· Machine Learning
(12)
Applications
(10)
Application Areas
(9)
Learning Types Β· Deep Learning
(9)
Architectures
(8)
Learning Paradigms
(6)
Optimization & Theory
(6)
Reinforcement Learning
(4)
Models
(4)
Keywords
large language model
(11)
graph neural network
(8)
knowledge graph
(7)
retrieval-augmented generation
(7)
contrastive learning
(4)
text-attributed graph
(3)
named entity recognition
(3)
multi-agent system
(2)
database schema
(2)
graph learning
(2)
proximal policy optimization
(2)
node embedding
(2)
language model
(2)
graph structure
(2)
graph classification
(2)
reinforcement learning
(2)
attention mechanism
(2)
similarity search
(1)
sequence labeling
(1)
multi-task learning
(1)
Papers
Benchmarking LLMsβ Mathematical Reasoning with Unseen Random Variables Questions
AAAI 2026
Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG
ACL 2026
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
ACL 2026
LLM Collaborative Filtering: User-Item Graph as New Language
AAAI 2026
LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation
ACL 2026
Query-Aware Knowledge Retrieval via Hyperbolic Structuring
ACL 2026
SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence
CVPR 2026
You Donβt Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures
AAAI 2026
Each graph is a new language: Graph Learning with LLMs
ACL 2025
Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning
EMNLP 2025
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
ICML 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
Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation
ACL 2025
Text-Attributed Graph Learning with Coupled Augmentations
COLING 2025
Configurable Mirror Descent: Towards a Unification of Decision Making
ICML 2024
Cost-efficient Knowledge-based Question Answering with Large Language Models
NeurIPS 2024
Denoising-Aware Contrastive Learning for Noisy Time Series
IJCAI 2024
Enhancing Explainable Rating Prediction through Annotated Macro Concepts
ACL 2024
Entity Alignment with Noisy Annotations from Large Language Models
NeurIPS 2024
KnowGPT: Knowledge Graph based Prompting for Large Language Models
NeurIPS 2024
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM
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
Reinforcement Nash Equilibrium Solver
IJCAI 2024
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver
IJCAI 2024
Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model
ACL 2023
Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs
NeurIPS 2023
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations
ICML 2023
Similarizing the Influence of Words with Contrastive Learning to Defend Word-level Adversarial Text Attack
ACL 2023
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
IJCAI 2022
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
NeurIPS 2021
Dynamic Memory based Attention Network for Sequential Recommendation
AAAI 2021
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
ACL 2020
Multi-Channel Graph Neural Networks
IJCAI 2020
Speeding up Very Fast Decision Tree with Low Computational Cost
IJCAI 2020
Teaching Machine Comprehension with Compositional Explanations
EMNLP 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
NeurIPS 2020
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
ACL 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