Chengjin Xu
22 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(14)
Core AI
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Machine Learning
(11)
Natural Language Processing
(9)
Knowledge & Reasoning
(7)
Representation
(7)
Deep Learning
(6)
Core Methods
(6)
Applications
(5)
Optimization & Theory
(4)
Resources & Methods
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Architectures
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Generation
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Keywords
large language model
(7)
temporal knowledge graph
(5)
knowledge graph
(4)
link prediction
(4)
entity alignment
(3)
retrieval-augmented generation
(3)
multimodal large language model
(2)
graph neural network
(2)
chain-of-thought reasoning
(2)
knowledge graph completion
(2)
faithful reasoning
(2)
knowledge graph embedding
(2)
multimodal learning
(2)
embedding learning
(2)
synthetic data generation
(2)
continual pre-training
(2)
visual reasoning
(1)
inductive reasoning
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anomaly detection
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benchmark evaluation
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Papers
BAG: Benchmarking Anomaly Detection on Dynamic Graphs
AAAI 2026
Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
EACL 2026
DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis
ACL 2026
ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
ICLR 2025
ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning
ICCV 2025
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
AAAI 2025
Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
EMNLP 2025
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
ACL 2025
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
NAACL 2025
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
ICLR 2025
VLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
EMNLP 2025
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
NAACL 2024
MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment
EMNLP 2024
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
ICLR 2024
Unlocking the Power of Large Language Models for Entity Alignment
ACL 2024
Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning
EMNLP 2023
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
NeurIPS 2023
Knowledge Graph Representation Learning using Ordinary Differential Equations
EMNLP 2021
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings
NAACL 2021
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs
EMNLP 2021
Knowledge Graph Embeddings in Geometric Algebras
COLING 2020
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
COLING 2020