← Authors

Xiaojie Yuan

40 papers · 2010–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (94) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🀝 Dynamic Duo (22) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (182) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (39)

Conferences

EMNLP (13) COLING (8) AAAI (6) ACL (5) IJCAI (5) CVPR (1) IJCNLP (1) NIPS (1)

Top co-authors

Ying Zhang (23) Baohang Zhou (12) Xiangrui Cai (11) Kehui Song (9) Yu Zhao (8) Xuhui Sui (8) Chunyan Hou (6) Chen Chen (6) Yanlong Wen (6) Guoqing Zhao (6)

Keywords

multimodal learning (8) named entity recognition (5) knowledge graph (5) multi-task learning (5) attention mechanism (4) knowledge base (4) graph neural network (4) representation learning (4) contrastive learning (3) visual question answering (3) self-supervised learning (3) entity normalization (3) missing value imputation (2) error propagation (2) multivariate time series (2) generative model (2) progressive learning (2) entity linking (2) rumor detection (2) text representation (2)

Papers

Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning AAAI 2026
FGDGNN: Fine-Grained Dynamic Graph Neural Network for Rumor Detection on Social Media ACL 2025
SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation Intervention EMNLP 2025
InstructGEC: Enhancing Unsupervised Grammatical Error Correction with Instruction Tuning COLING 2025
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales AAAI 2025
SWAM: Adaptive Sliding Window and Memory-Augmented Attention Model for Rumor Detection EMNLP 2025
DTDES-KGE: Dual-Teacher Knowledge Distillation with Distinct Embedding Spaces for Knowledge Graph Embeddings EMNLP 2025
Frequency-aware Generative Models for Multivariate Time Series Imputation NIPS 2024
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation AAAI 2024
MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space ACL 2024
Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting COLING 2024
Look before You Leap: Dual Logical Verification for Knowledge-based Visual Question Generation COLING 2024
MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction COLING 2024
Contrastive Representation Learning for Self-Supervised Taxonomy Completion IJCAI 2024
Incorporating Object-Level Visual Context for Multimodal Fine-Grained Entity Typing EMNLP 2023
AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis ACL 2023
BioFEG: Generate Latent Features for Biomedical Entity Linking EMNLP 2023
TacoPrompt: A Collaborative Multi-Task Prompt Learning Method for Self-Supervised Taxonomy Completion EMNLP 2023
Selecting Key Views for Zero-Shot Entity Linking EMNLP 2023
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment ACL 2023
Licon: A Diverse, Controllable and Challenging Linguistic Concept Learning Benchmark EMNLP 2023
KAPALM: Knowledge grAPh enhAnced Language Models for Fake News Detection EMNLP 2023
TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding COLING 2022
TaxoPrompt: A Prompt-based Generation Method with Taxonomic Context for Self-Supervised Taxonomy Expansion IJCAI 2022
PPDL: Predicate Probability Distribution Based Loss for Unbiased Scene Graph Generation CVPR 2022
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition EMNLP 2022
PM2F2N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction EMNLP 2022
Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information COLING 2022
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances COLING 2022
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization IJCNLP 2021
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization ACL 2021
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization AAAI 2021
KAN: Knowledge-aware Attention Network for Fake News Detection AAAI 2021
Incorporating Circumstances into Narrative Event Prediction EMNLP 2021
TEMP: Taxonomy Expansion with Dynamic Margin Loss through Taxonomy-Paths EMNLP 2021
Re-Attention for Visual Question Answering AAAI 2020
EΒ²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation IJCAI 2019
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks IJCAI 2018
Medical Concept Embedding with Time-Aware Attention IJCAI 2018
Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches COLING 2010