Xiuqiang He

Shenzhen Technology University — China

Computer Science · Physical Sciences

36h-index7.3kcitations188works2.62yr avg
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Research Topics

Recommender Systems and Techniques(125), Advanced Graph Neural Networks(45), Topic Modeling(40), Advanced Bandit Algorithms Research(35), Caching and Content Delivery(21)

Publications188 total

Give Users the Wheel: Towards Promptable Recommendation Paradigm
ArXiv.org·2026Open Access
Give Users the Wheel: Towards Promptable Recommendation Paradigm
arXiv (Cornell University)·2026Open Access
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
2026Open Access
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
Lecture notes in computer science·2026
CORE-RAG: Lossless Compression for Retrieval-Augmented LLMs via Reinforcement Learning
arXiv (Cornell University)·2025Open Access
BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity
arXiv (Cornell University)·2025Open Access
Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
2025Open Access
Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction
2025Open Access
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
2025· 4 citedOpen Access
Multi-scenario Instance Embedding Learning for Deep Recommender Systems
2025· 1 citedOpen Access
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
arXiv (Cornell University)·2025Open Access
Scenario Shared Instance Modeling for Click-through Rate Prediction
2025
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
2025· 2 cited
Training Agents with Weakly Supervised Feedback from Large Language Models
arXiv (Cornell University)·2024Open Access
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
arXiv (Cornell University)·2024Open Access
Masked Random Noise for Communication-Efficient Federated Learning
2024· 5 citedOpen Access
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
2024· 4 cited
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
arXiv (Cornell University)·2024Open Access
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
2024· 2 citedOpen Access
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
2024· 5 citedOpen Access
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Frequent Co-authors

Ruiming Tang(23), Huifeng Guo(12), Jieming Zhu(11), Zhenhua Dong(11), Zhenguo Li(10), Weinan Zhang(9), Yong Yu(7), Wei Guo(7), Zhaowei Wang(5), Yingxue Zhang(4), Zhou Zhao(4), Jiarui Qin(4), Yunming Ye(3), Kelong Mao(3), Xi Xiao(3), Fei Chen(3), Dugang Liu(3), Pengxiang Cheng(3), Jincai Lai(3), Jianing Sun(3)