Scholar
Yunfan Wu
Google Scholar ID: L6Pwc_kAAAAJ
Institute of Computing Technology, Chinese Academy of Sciences
Recommender System
Collaborative Filtering
Adversary Attack
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Citations & Impact
All-time
Citations
251
H-index
8
i10-index
5
Publications
15
Co-authors
5
list available
Contact
Email
wuyunfan15@mails.ucas.ac.cn
GitHub
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Publications
11 items
PIT: A Dynamic Personalized Item Tokenizer for End-to-End Generative Recommendation
2026
Cited
0
Causality Enhancement for Cross-Domain Recommendation
2025
Cited
0
GemiRec: Interest Quantization and Generation for Multi-Interest Recommendation
2025
Cited
0
OneRec-Think: In-Text Reasoning for Generative Recommendation
2025
Cited
0
OneRec-V2 Technical Report
2025
Cited
0
OneRec Technical Report
2025
Cited
0
ABCDWaveNet: Advancing Robust Road Ponding Detection in Fog through Dynamic Frequency-Spatial Synergy
2025
Cited
0
YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction
2025
Cited
0
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Resume (English only)
Academic Achievements
- CSUR 2025: Robust Recommender System: A Survey and Future Directions
- CSCW 2025: “I Know You Are Discriminatory!”: Automated Substantiating for Individual Fairness Auditing of AI Systems
- WWW 2025: Personalized Denoising Implicit Feedback for Robust Recommender System
- WWW 2025: The 1st Workshop on Human-Centered Recommender Systems
- NeurIPS 2024: Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
- RecSys 2024: Accelerating the Surrogate Retraining for Poisoning Attacks Against Recommender Systems
- RecSys 2024: Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System
- SIGIR 2024: LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation
- Information Sciences 2024: IDEA: Invariant Defense for Graph Adversarial Robustness
- Information Sciences 2023: Adversarial Camouflage for Node Injection Attack on Graphs
- TKDE 2023: Graph Adversarial Immunization for Certifiable Robustness
- SIGIR 2023: Popularity Debiasing from Exposure to Interaction in Collaborative Filtering
- SIGIR 2022: INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering
- CIKM 2021: Single Node Injection Attack Against Graph Neural Networks
Research Experience
- As a PhD student, involved in multiple research projects, including work on recommender systems, graph neural networks, and large language models.
Education
- 2019.09 - Present: PhD, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. Advisors: Qi Cao and Huawei Shen.
- 2018.08 - 2018.12: Exchange Student, National University of Singapore, Singapore.
- 2015.09 - 2019.06: Bachelor’s Degree, University of Chinese Academy of Sciences, Beijing, China.
Background
- Research Interests: trustworthy recommender systems, graph neural networks, large language models
- Professional Field: Institute of Computing Technology, Chinese Academy of Sciences
- Introduction: Currently a PhD student at the Institute of Computing Technology, Chinese Academy of Sciences, advised by Qi Cao and Huawei Shen.
Miscellany
- Personal Interests: Not provided
Co-authors
5 total
Co-author 1
Shuchang Tao
Tongyi Lab, Alibaba Group
Fei Sun
Associate Professor, Institute of Computing Technology, CAS; Alibaba
Kaike Zhang
Institute of Computing Technology, Chinese Academy of Sciences
Yuanhao Liu
Institute of Computing Technology, Chinese Academy of Sciences
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