Zuohui Fu

1.8k citations

31 papers · 731 · 1 hit paper · h-index 16

Impact in

Information Systems top 2%
- Recommender Systems and Techniques
Artificial Intelligence top 2%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Explainable Artificial Intelligence (XAI)
- Privacy-Preserving Technologies in Data

Papers in

Artificial Intelligence 26
- Topic Modeling 18
- Advanced Graph Neural Networks 10
- Natural Language Processing Techniques 5
- Speech and dialogue systems 3
- Explainable Artificial Intelligence (XAI) 3
Information Systems 15
- Recommender Systems and Techniques 15

Co-authors: Yongfeng Zhang (17 shared papers)Shijie Geng (10 shared papers)Yingqiang Ge (10 shared papers)Shuchang Liu (7 shared papers)Gerard de Melo (15 shared papers)Juntao Tan (7 shared papers)Shuyuan Xu (8 shared papers)Yikun Xian (9 shared papers)
Journals: ACM Transactions on Information Systems (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2 papers)Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (1 paper)
Partner nations: United States Germany China

In The Last Decade

Zuohui Fu

31 papers receiving 715 citations

Hit Papers

align trajectories log scale

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) 2022 · 223 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Peers

Countries citing papers authored by Zuohui Fu

Since Specialization

Citations

This map shows the geographic impact of Zuohui Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zuohui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuohui Fu more than expected).

Fields of papers citing papers by Zuohui Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zuohui Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zuohui Fu. The network helps show where Zuohui Fu may publish in the future.

Co-authors

The 25 scholars most cited alongside Zuohui Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zuohui Fu Line = papers co-authored together Zuohui Fu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang Hit paper breakdown →	2022	223
2	Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning Proceedings of the ACM Web Conference 2022 ·Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang	2022	49
3	Path Language Modeling over Knowledge Graphsfor Explainable Recommendation Proceedings of the ACM Web Conference 2022 ·Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang	2022	46
4	FedCT: Federated Collaborative Transfer for Recommendation Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian	2021	39
5	sharedCharging Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ·Guang Wang, Wenzhong Li, Jun Zhang, Yingqiang Ge, Zuohui Fu, Fan Zhang, Yang Wang, Desheng Zhang	2019	38
6	VIP5: Towards Multimodal Foundation Models for Recommendation Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang	2023	28
7	Tutorial on Conversational Recommendation Systems Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang	2020	28
8	Explainable Fairness in Recommendation Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval ·Yingqiang Ge, Juntao Tan, Zhu Yan, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang	2022	27
9	HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo, Yongfeng Zhang	2021	21
10	Faithfully Explainable Recommendation via Neural Logic Reasoning Yaxin Zhu, Yikun Xian, Zuohui Fu, Gerard de Melo, Yongfeng Zhang	2021	21
11	Improving Personalized Explanation Generation through Visualization Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang	2022	20
12	Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification Xin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen Yang, Gerard de Melo	2020	19
13	Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Wilson Tam, Cheng Niu, Jie Zhou	2019	17
14	A Survey on Trustworthy Recommender Systems Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang	2024	17
15	OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization Proceedings of the AAAI Conference on Artificial Intelligence ·Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal	2020	16
16	ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs Proceedings of the AAAI Conference on Artificial Intelligence ·Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo	2020	15
17	Transmission capacity of device-to-device communication under heterogeneous networks with cellular users assisted Yang Yang, Ziyang Liu, Zuohui Fu, Tao Peng, Wenbo Wang	2013	15
18	Dynamic Causal Collaborative Filtering Proceedings of the 31st ACM International Conference on Information & Knowledge Management ·Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang	2022	12
19	A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability ACM Transactions on Information Systems ·Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang, Qingyao Ai	2023	11
20	Popcorn Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang	2021	11

About Zuohui Fu

Zuohui Fu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computer Networks and Communications, having authored 31 papers that have together received 731 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Recommender Systems and Techniques (15 papers), Advanced Graph Neural Networks (10 papers), Multimodal Machine Learning Applications (6 papers), Natural Language Processing Techniques (5 papers), Advanced Bandit Algorithms Research (3 papers), Speech and dialogue systems (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Information Systems (414 citations), Artificial Intelligence (570 citations), Computer Vision and Pattern Recognition (124 citations), Management Science and Operations Research (65 citations) and Transportation (21 citations). Zuohui Fu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Yongfeng Zhang, Shijie Geng, Yingqiang Ge, Shuchang Liu, Gerard de Melo, Juntao Tan, Shuyuan Xu, Yikun Xian, Yunqi Li and Yi Zhang. Their work appears in journals such as ACM Transactions on Information Systems, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings of the 31st ACM International Conference on Information & Knowledge Management and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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