Xiaofang Zhou
18 papers · 2013–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(3)
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Grand Slam
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Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Machine Learning
(11)
Deep Learning
(8)
Artificial Intelligence
(6)
Architectures
(6)
Core Methods
(6)
Core AI
(5)
Natural Language Processing
(4)
Data Science & Analytics
(3)
Application Areas
(3)
Learning Types
(3)
Optimization & Theory
(3)
Applications Β· Data Science & Analytics
(2)
Applications Β· Natural Language Processing
(2)
Generation
(2)
Resources & Methods
(2)
Keywords
poi recommendation
(3)
recurrent neural network
(3)
large language model
(2)
sequential recommendation
(2)
knowledge graph
(2)
retrieval-augmented generation
(2)
graph neural network
(2)
collaborative filtering
(1)
ensemble learning
(1)
sequence modeling
(1)
visual reasoning
(1)
instruction following
(1)
spatio-temporal modeling
(1)
model alignment
(1)
language model training
(1)
preference optimization
(1)
few-shot learning
(1)
convolutional neural network
(1)
long short-term memory
(1)
knowledge transfer
(1)
Papers
Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition
AAAI 2026
DIDS: Domain Impact-aware Data Sampling for Large Language Model Training
EMNLP 2025
Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists
ACL 2025
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects
EMNLP 2025
Making RALM Robust to Irrelevant Contexts via Layer Knowledge Guided Attention
ACL 2025
Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models
EMNLP 2025
Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
ICLR 2025
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
NeurIPS 2024
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach
ICML 2024
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching
AAAI 2022
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation
IJCAI 2021
Discovering Subsequence Patterns for Next POI Recommendation
IJCAI 2020
Feature-level Deeper Self-Attention Network for Sequential Recommendation
IJCAI 2019
Graph Contextualized Self-Attention Network for Session-based Recommendation
IJCAI 2019
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
AAAI 2019
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
IJCAI 2018
Understanding Information Diffusion under Interactions
IJCAI 2016
Co-Regularized Ensemble for Feature Selection
IJCAI 2013