Xiaofang Zhou

18 papers · 2013–2026 · 7 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (12) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6)

🏃 Academic Marathon (12) 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird 🏆 Grand Slam 🗃️ Keyword Collector (73) 🚀 Conference Pioneer 💎 Century Club (17) 🔥 Unstoppable (5) ⚡ Prolific Year (6)

Conferences

IJCAI (7) AAAI (3) EMNLP (3) ACL (2) ICLR (1) ICML (1) NIPS (1)

Top co-authors

Jiajie Xu (7) Pengpeng Zhao (5) Jipeng Zhang (5) Ruiyuan Zhang (4) Yanchi Liu (3) Weijie Shi (3) Victor S. Sheng (3) Kai Zheng (3) Fuzhen Zhuang (2) Jia Zhu (2)

Keywords

poi recommendation (3) recurrent neural network (3) sequential recommendation (2) retrieval-augmented generation (2) ensemble learning (1) collaborative filtering (1) sequence modeling (1) preference optimization (1) few-shot learning (1) language model training (1) visual reasoning (1) instruction following (1) spatio-temporal modeling (1) model alignment (1) convolutional neural network (1) knowledge transfer (1) knowledge graph (1) long short-term memory (1) fisher information matrix (1) attention mechanism (1)

Papers

Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition AAAI 2026 Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models ICLR 2025 ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects EMNLP 2025 Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists ACL 2025 DIDS: Domain Impact-aware Data Sampling for Large Language Model Training EMNLP 2025 Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models EMNLP 2025 Making RALM Robust to Irrelevant Contexts via Layer Knowledge Guided Attention ACL 2025 Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach ICML 2024 ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer NIPS 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 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 Feature-level Deeper Self-Attention Network for Sequential Recommendation IJCAI 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