Jiaxuan You
33 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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(59)
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Conference Polyglot
(6)
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Keyword Champion
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Dynamic Duo
(13)
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Keyword Collector
(129)
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Prolific Year
(13)
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Century Club
(32)
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(8)
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Trend Setter
Conferences
NIPS (8)
ACL (6)
EMNLP (6)
ICLR (6)
ICML (6)
AAAI (1)
Top co-authors
Keywords
large language model
(11)
graph neural network
(8)
retrieval-augmented generation
(4)
graph structure
(3)
link prediction
(3)
multimodal learning
(2)
in-context learning
(2)
node classification
(2)
multi-agent system
(2)
structured reasoning
(2)
deep learning
(2)
benchmark evaluation
(2)
bipartite graph
(2)
graph generation
(2)
policy gradient
(1)
question answering
(1)
transfer learning
(1)
graph representation learning
(1)
self-supervised learning
(1)
image generation
(1)
Papers
GUIDE: Towards Scalable Advising for Research Ideas
ACL 2026
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
ICLR 2025
TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents
EMNLP 2025
SafeScientist: Enhancing AI Scientist Safety for Risk-Aware Scientific Discovery
EMNLP 2025
Evaluating LLM-Generated Diagrams as Graphs
EMNLP 2025
GraphRouter: A Graph-based Router for LLM Selections
ICLR 2025
ResearchTown: Simulator of Human Research Community
ICML 2025
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
ICLR 2025
Beyond Facts: Evaluating Intent Hallucination in Large Language Models
ACL 2025
MultiAgentBench : Evaluating the Collaboration and Competition of LLM agents
ACL 2025
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
ACL 2025
ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities
ACL 2025
Graph World Model
ICML 2025
Tables as Thought: Exploring Structured Thoughts in LLM Reasoning
ACL 2025
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
EMNLP 2024
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
NIPS 2024
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
NIPS 2024
LLM-Evolve: Evaluation for LLMβs Evolving Capability on Benchmarks
EMNLP 2024
Arxiv Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance
EMNLP 2024
Deep Reinforcement Learning for Modelling Protein Complexes
ICLR 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
ICLR 2023
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
ICLR 2022
Identity-aware Graph Neural Networks
AAAI 2021
Handling Missing Data with Graph Representation Learning
NIPS 2020
Design Space for Graph Neural Networks
NIPS 2020
Graph Structure of Neural Networks
ICML 2020
Position-aware Graph Neural Networks
ICML 2019
G2SAT: Learning to Generate SAT Formulas
NIPS 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
NIPS 2019
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
ICML 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
NIPS 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
NIPS 2018