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Xiuqiang He — most-cited papers & profile · Recommender Systems
← authors
·
overview
Xiuqiang He
28
papers ·
2908
citations ·
25
h-index
Tencent (China) · Huawei Technologies (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
2017 · 2202 citations
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
2020 · 160 citations
Top-N Recommendation with Counterfactual User Preference Simulation
2021 · 50 citations
Cross-Batch Negative Sampling for Training Two-Tower Recommenders
2021 · 38 citations
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection
2020 · 34 citations
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
2018 · 33 citations
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
2021 · 22 citations
Learning Cross-Domain Representation with Multi-Graph Neural Network
2019 · 14 citations
A Practical Incremental Method to Train Deep CTR Models
2020 · 12 citations
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
2022 · 12 citations
Personalized Re-ranking for Improving Diversity in Live Recommender Systems
2020 · 7 citations
Deep Learning for Click-Through Rate Estimation
2021 · 7 citations
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems
2022 · 5 citations
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction
2021 · 4 citations
Context-aware Reranking with Utility Maximization for Recommendation
2021 · 4 citations
Top co-authors
Ruiming Tang
· 15
Huifeng Guo
· 7
Zhenhua Dong
· 6
Weinan Zhang
· 4
Guohao Cai
· 3
Jieming Zhu
· 3
Quanyu Dai
· 3
Yingxue Zhang
· 3
Zhenguo Li
· 3
Zhirong Liu
· 3
Jiarui Qin
· 2
Jieming Zhu
· 2
Topics
Ranking & CTR
Collaborative Filtering
Graph-based
Sequential & Session
Two-Tower & Retrieval
Cold Start & Cross-Domain
LLM-based
Fairness & Ethics