Scholar
Huifeng Guo
Google Scholar ID: jlBcPn8AAAAJ
Huawei, Harbin Institute of Technology
Recommender System
Deep Learning
Data Mining.
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Citations & Impact
All-time
Citations
6,774
H-index
32
i10-index
63
Publications
20
Co-authors
18
list available
Publications
32 items
From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale
2026
Cited
0
DPIFrame: A Dual-Level Parallelism Acceleration Framework for CTR Model Inference
2026
Cited
0
Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
2026
Cited
0
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
2026
Cited
0
Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control
2026
Cited
0
Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
2026
Cited
0
Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
arXiv.org · 2026
Cited
2
No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction
2025
Cited
0
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Co-authors
17 total
Ruiming TANG
Kuaishou Technology
Xiuqiang He
Distinguished Professor, Shenzhen Technology University
Yunming Ye
Harbin Institute of Technology, Shenzhen, China
Bo Chen
Huawei; Shanghai Jiao Tong University
Zhenguo Li
Huawei Noah's Ark Lab, Columbia, CUHK, PKU
Yichao Wang
Noah's Ark Lab, Huawei; Peking University
wei guo
Noah's Ark Lab, Huawei
Yingxue Zhang
Huawei
