Fuli Feng

Fuli Feng

National University of Singapore

H-index: 41

Asia-Singapore

About Fuli Feng

Fuli Feng, With an exceptional h-index of 41 and a recent h-index of 41 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Information Retrieval, Data Mining, Natural Language Processing, Causal Inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

Denoising Diffusion Recommender Model

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning

Removing hidden confounding in recommendation: a unified multi-task learning approach

Think twice before assure: Confidence estimation for large language models through reflection on multiple answers

Large Language Models for Recommendation: Progresses and Future Directions

Causal inference in recommender systems: A survey and future directions

Prospect Personalized Recommendation on Large Language Model-based Agent Platform

The 2nd Workshop on Recommendation with Generative Models

Fuli Feng Information

University

Position

Ph.D. of School of Computing

Citations(all)

8934

Citations(since 2020)

8824

Cited By

1274

hIndex(all)

41

hIndex(since 2020)

41

i10Index(all)

81

i10Index(since 2020)

81

Email

University Profile Page

National University of Singapore

Google Scholar

View Google Scholar Profile

Fuli Feng Skills & Research Interests

Information Retrieval

Data Mining

Natural Language Processing

Causal Inference

Top articles of Fuli Feng

Title

Journal

Author(s)

Publication Date

Denoising Diffusion Recommender Model

arXiv preprint arXiv:2401.06982

Jujia Zhao

Wenjie Wang

Yiyan Xu

Teng Sun

Fuli Feng

2024/1/13

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning

arXiv preprint arXiv:2403.00843

Wentao Shi

Xiangnan He

Yang Zhang

Chongming Gao

Xinyue Li

...

2024/2/29

Removing hidden confounding in recommendation: a unified multi-task learning approach

Haoxuan Li

Kunhan Wu

Chunyuan Zheng

Yanghao Xiao

Hao Wang

...

2023/11/2

Think twice before assure: Confidence estimation for large language models through reflection on multiple answers

arXiv preprint arXiv:2403.09972

Moxin Li

Wenjie Wang

Fuli Feng

Fengbin Zhu

Qifan Wang

...

2024/3/15

Large Language Models for Recommendation: Progresses and Future Directions

Jizhi Zhang

Keqin Bao

Yang Zhang

Wenjie Wang

Fuli Feng

...

2024

Causal inference in recommender systems: A survey and future directions

Chen Gao

Yu Zheng

Wenjie Wang

Fuli Feng

Xiangnan He

...

2024/2/9

Prospect Personalized Recommendation on Large Language Model-based Agent Platform

arXiv preprint arXiv:2402.18240

Jizhi Zhang

Keqin Bao

Wenjie Wang

Yang Zhang

Wentao Shi

...

2024/2/28

The 2nd Workshop on Recommendation with Generative Models

arXiv preprint arXiv:2403.04399

Wenjie Wang

Yang Zhang

Xinyu Lin

Fuli Feng

Weiwen Liu

...

2024/3/7

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients

arXiv preprint arXiv:2403.17745

Zihao Zhao

Yi Jing

Fuli Feng

Jiancan Wu

Chongming Gao

...

2024/3/26

Transferring Causal Mechanism over Meta-representations for Target-unknown Cross-domain Recommendation

ACM Transactions on Information Systems

Shengyu Zhang

Qiaowei Miao

Ping Nie

Mengze Li

Zhengyu Chen

...

2024

Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction

arXiv preprint arXiv:2402.03600

Jinqiu Jin

Sihao Ding

Wenjie Wang

Fuli Feng

2024/2/6

DiFashion: Towards Personalized Outfit Generation

arXiv preprint arXiv:2402.17279

Yiyan Xu

Wenjie Wang

Fuli Feng

Yunshan Ma

Jizhi Zhang

...

2024/2/27

Uplift Modeling for Target User Attacks on Recommender Systems

arXiv preprint arXiv:2403.02692

Wenjie Wang

Changsheng Wang

Fuli Feng

Wentao Shi

Daizong Ding

...

2024/3/5

Graph neural network with curriculum learning for imbalanced node classification

Neurocomputing

Xiaohe Li

Zide Fan

Feilong Huang

Xuming Hu

Yawen Deng

...

2024/3/14

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation

Proceedings of the AAAI Conference on Artificial Intelligence

Xinyu Lin

Wenjie Wang

Jujia Zhao

Yongqi Li

Fuli Feng

...

2024/3/24

Data-efficient Fine-tuning for LLM-based Recommendation

arXiv preprint arXiv:2401.17197

Xinyu Lin

Wenjie Wang

Yongqi Li

Shuo Yang

Fuli Feng

...

2024/1/30

Item-side Fairness of Large Language Model-based Recommendation System

arXiv preprint arXiv:2402.15215

Meng Jiang

Keqin Bao

Jizhi Zhang

Wenjie Wang

Zhengyi Yang

...

2024/2/23

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting

Yimeng Bai

Yang Zhang

Jing Lu

Jianxin Chang

Xiaoxue Zang

...

2024/3/4

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data

arXiv preprint arXiv:2401.13223

Fengbin Zhu

Ziyang Liu

Fuli Feng

Chao Wang

Moxin Li

...

2024/1/24

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach

Jinqiu Jin

Haoxuan Li

Fuli Feng

Sihao Ding

Peng Wu

...

2023/11/2

See List of Professors in Fuli Feng University(National University of Singapore)

Co-Authors

H-index: 117
Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

H-index: 97
Tang Jie

Tang Jie

Tsinghua University

H-index: 90
Wenwu Zhu

Wenwu Zhu

Tsinghua University

H-index: 87
Xiangnan He

Xiangnan He

University of Science and Technology of China

H-index: 71
Yong Li

Yong Li

Tsinghua University

H-index: 67
Liqiang Nie (聂礼强), IAPR Fellow

Liqiang Nie (聂礼强), IAPR Fellow

Shandong University

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