Fangzhao Wu

8.2k citations

118 papers · 4.2k indexed · 3 hit papers · h-index 37

Artificial Intelligence top 0.2%
Information Systems top 0.2%
Computer Vision and Pattern Recognition top 2%
Sociology and Political Science top 5%
Computer Networks and Communications top 5%

Co-authors: Yongfeng Huang Chuhan Wu Xing Xie Tao Qi Lingjuan Lyu Zhigang Yuan Sixing Wu Junxin Liu
Topics: Topic Modeling (67 papers)Recommender Systems and Techniques (45 papers)Sentiment Analysis and Opinion Mining (33 papers)
Cited by: Artificial Intelligence Information Systems Computer Vision and Pattern Recognition
Journals: Proceedings of the National Academy of Sciences Nature Communications Expert Systems with Applications
Partner nations: China United States Hong Kong

In The Last Decade

Fangzhao Wu

117 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Communication-efficient federated learning via knowledge distillation

2022 314 citations Chuhan Wu, Fangzhao Wu et al. profile →
MIND: A Large-scale Dataset for News Recommendation

2020 238 citations Fangzhao Wu, Chuhan Wu et al. profile →
A federated graph neural network framework for privacy-preserving personalization

2022 139 citations Chuhan Wu, Fangzhao Wu et al. profile →

Peers

Countries citing papers authored by Fangzhao Wu

Since Specialization

Citations

This map shows the geographic impact of Fangzhao Wu'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 Fangzhao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangzhao Wu more than expected).

Fields of papers citing papers by Fangzhao Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fangzhao Wu. 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 Fangzhao Wu. The network helps show where Fangzhao Wu may publish in the future.

Co-authorship network of co-authors of Fangzhao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangzhao Wu. A scholar is included among the top collaborators of Fangzhao Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fangzhao Wu. Fangzhao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models 2025 ·(unknown),Yueqi Xie,(unknown),Emre Kıcıman,Guangzhong Sun,Xing Xie,Fangzhao Wu	4
2	On the Vulnerability of Safety Alignment in Open-Access LLMs 2024 ·Jingwei Yi,Rui Ye,(unknown),Bin Zhu,Siheng Chen,Defu Lian,Guangzhong Sun,Xing Xie,Fangzhao Wu	2
3	Federated Unlearning for On-Device Recommendation 2023 ·(unknown),Hongzhi Yin,Fangzhao Wu,Shijie Zhang,Tieke He,(unknown)	60
4	DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision 2023 ·Sungwon Han,(unknown),Fangzhao Wu,Sundong Kim,Chuhan Wu,Xiting Wang,Xing Xie,Meeyoung Cha	3
5	FedDefender: Client-Side Attack-Tolerant Federated Learning 2023 ·(unknown),Sungwon Han,Fangzhao Wu,Sundong Kim,(unknown),Xing Xie,Meeyoung Cha	17
6	Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark 2023 ·Wenjun Peng,Jingwei Yi,Fangzhao Wu,(unknown),Bin Zhu,Lingjuan Lyu,Binxing Jiao,Tong Xu,Guangzhong Sun,Xing Xie	21
7	Effective and Efficient Query-aware Snippet Extraction for Web Search 2022 ·Jingwei Yi,Fangzhao Wu,Chuhan Wu,(unknown),Binxing Jiao,Guangzhong Sun,Xing Xie	1
8	DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning 2022 ·Chuhan Wu,Fangzhao Wu,Xiangnan He,Yongfeng Huang	2
9	Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·(unknown),Fangzhao Wu,Chuhan Wu,Ruixuan Liu,Guangzhong Sun,Xing Xie	34
10	Fastformer: Additive Attention is All You Need 2021 ·arXiv (Cornell University) ·Chuhan Wu,Fangzhao Wu,Tao Qi,Yongfeng Huang	1
11	Privacy-Preserving News Recommendation Model Learning 2020 ·Tao Qi,Fangzhao Wu,Chuhan Wu,Yongfeng Huang,Xing Xie	85
12	SentiRec: Sentiment Diversity-aware Neural News Recommendation 2020 ·Chuhan Wu,Fangzhao Wu,Tao Qi,Yongfeng Huang	21
13	Privacy-Preserving News Recommendation Model Training via Federated Learning. 2020 ·arXiv (Cornell University) ·Tao Qi,Fangzhao Wu,Chuhan Wu,Yongfeng Huang,Xing Xie	6
14	PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision 2020 ·Chuhan Wu,Fangzhao Wu,Tao Qi,Jianxun Lian,Yongfeng Huang,Xing Xie	23
15	Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network 2019 ·Chuhan Wu,Fangzhao Wu,Tao Qi,Suyu Ge,Yongfeng Huang,Xing Xie	30
16	Neural News Recommendation with Multi-Head Self-Attention 2019 ·Chuhan Wu,Fangzhao Wu,Suyu Ge,Tao Qi,Yongfeng Huang,Xing Xie	188
17	Neural News Recommendation with Long- and Short-term User Representations 2019 ·Mingxiao An,Fangzhao Wu,Chuhan Wu,Kun Zhang,Zheng Liu,Xing Xie	185
18	Exploring Sequence-to-Sequence Learning in Aspect Term Extraction 2019 ·Dehong Ma,Sujian Li,Fangzhao Wu,Xing Xie,Houfeng Wang	97
19	THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM 2017 ·International Joint Conference on Natural Language Processing ·Chuhan Wu,Fangzhao Wu,Yongfeng Huang,Sixing Wu,Zhigang Yuan	15
20	Sentiment Domain Adaptation with Multiple Sources 2016 ·Fangzhao Wu,Yongfeng Huang	63

About Fangzhao Wu

Fangzhao Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 118 papers that have together received 4.2k indexed citations. Recurring topics across this work include Topic Modeling (67 papers), Recommender Systems and Techniques (45 papers) and Sentiment Analysis and Opinion Mining (33 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Information Systems (2.1k citations) and Computer Vision and Pattern Recognition (644 citations). Fangzhao Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yongfeng Huang, Chuhan Wu, Xing Xie, Tao Qi, Lingjuan Lyu, Zhigang Yuan, Sixing Wu, Junxin Liu, Mingxiao An and Zheng Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Expert Systems with Applications.

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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