Lun Du
24 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(42)
π
Keyword Champion
(2)
π§¬
Topic Evolution
π€
Dynamic Duo
(11)
π
Century Club
(19)
π
Trend Setter
π₯
Unstoppable
(8)
β
The Questioner
ποΈ
Keyword Collector
(99)
Conferences
AAAI (6)
IJCAI (6)
EMNLP (5)
ACL (4)
COLING (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
large language model
(5)
network embedding
(4)
graph neural network
(3)
retrieval-augmented generation
(3)
neural network
(2)
information retrieval
(2)
representation learning
(2)
graph convolutional network
(2)
code search
(2)
retrieval augmentation
(2)
code generation
(2)
semantic parsing
(2)
graph representation
(2)
domain adaptation
(2)
data analysis
(2)
transfer learning
(2)
multimodal learning
(1)
mathematical reasoning
(1)
temporal reasoning
(1)
embedding space
(1)
Papers
What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations
ACL 2026
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
AAAI 2026
Task-Aware Retrieval Augmentation for Dynamic Recommendation
AAAI 2026
Can We Predict Before Executing Machine Learning Agents?
ACL 2026
StructMem: Structured Memory for Long-Horizon Behavior in LLMs
ACL 2026
LightThinker: Thinking Step-by-Step Compression
EMNLP 2025
Retrieval-Augmented Language Models are Mimetic Theorem Provers
EMNLP 2025
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
AAAI 2024
Text-to-Image Generation for Abstract Concepts
AAAI 2024
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
EMNLP 2024
Tackling Long Code Search with Splitting, Encoding, and Aggregating
COLING 2024
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
ICLR 2023
SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network
AAAI 2023
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
AAAI 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
IJCAI 2023
Accelerating Code Search with Deep Hashing and Code Classification
ACL 2022
Neuron with Steady Response Leads to Better Generalization
NIPS 2022
RACE: Retrieval-augmented Commit Message Generation
EMNLP 2022
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
EMNLP 2021
Domain Adaptive Classification on Heterogeneous Information Networks
IJCAI 2020
DANE: Domain Adaptive Network Embedding
IJCAI 2019
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks
IJCAI 2019
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding
IJCAI 2018
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach
IJCAI 2018