Defu Lian

papers

898

total citations

papers (15)

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

NEURIPS 2023arXiv

331

citations

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

NEURIPS 2021arXiv

220

citations

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

NEURIPS 2022arXiv

citations

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

AAAI 2024arXiv

citations

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models

ICML 2025arXiv

citations

TDDBench: A Benchmark for Training data detection

ICLR 2025arXiv

citations

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation

ICML 2024

citations

Knowledge Distillation for High Dimensional Search Index

NEURIPS 2023

citations

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy

NEURIPS 2022

citations

Recommender Forest for Efficient Retrieval

NEURIPS 2022

citations

Defu Lian

papers (15)

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

ToolACE: Winning the Points of LLM Function Calling

Making Text Embedders Few-Shot Learners

Meta-learning with an Adaptive Task Scheduler

Sampling-Decomposable Generative Adversarial Recommender

AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models

TDDBench: A Benchmark for Training data detection

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation

Knowledge Distillation for High Dimensional Search Index

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy

Recommender Forest for Efficient Retrieval

papers (15)

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

ToolACE: Winning the Points of LLM Function Calling

Making Text Embedders Few-Shot Learners

Meta-learning with an Adaptive Task Scheduler

Sampling-Decomposable Generative Adversarial Recommender

AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models

TDDBench: A Benchmark for Training data detection

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation

Knowledge Distillation for High Dimensional Search Index

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy

Recommender Forest for Efficient Retrieval