Feiran Huang

3.0k total citations · 2 hit papers
88 papers, 2.0k citations indexed

About

Feiran Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Feiran Huang has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 39 papers in Computer Vision and Pattern Recognition and 26 papers in Information Systems. Recurrent topics in Feiran Huang's work include Multimodal Machine Learning Applications (25 papers), Advanced Graph Neural Networks (21 papers) and Recommender Systems and Techniques (20 papers). Feiran Huang is often cited by papers focused on Multimodal Machine Learning Applications (25 papers), Advanced Graph Neural Networks (21 papers) and Recommender Systems and Techniques (20 papers). Feiran Huang collaborates with scholars based in China, Hong Kong and United States. Feiran Huang's co-authors include Zhoujun Li, Xiaoming Zhang, Jie Xu, Zhiquan Liu, Jingjing Guo, Zhonghua Zhao, Jianfeng Ma, Jian Weng, Chaozhuo Li and Senzhang Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Feiran Huang

80 papers receiving 2.0k 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.

TFL-DT: A Trust Evaluation Scheme for Federated Learning in Digital Twin for Mobile Networks

2023 128 citations Jingjing Guo, Zhiquan Liu et al. profile →
PPRU: A Privacy-Preserving Reputation Updating Scheme for Cloud-Assisted Vehicular Networks

2023 118 citations Zhiquan Liu, Jingjing Guo et al. IEEE Transactions on Vehicular Technology profile →

Peers

Countries citing papers authored by Feiran Huang

Since Specialization

Citations

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

Fields of papers citing papers by Feiran Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiran Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Feiran Huang. A scholar is included among the top collaborators of Feiran Huang 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 Feiran Huang. Feiran Huang 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	Contrastive learning with hard negatives for sentence embeddings 2025 ·Applied Soft Computing ·Wenxiao Liu, (unknown), (unknown), (unknown), Jianfeng Ma, Zhiquan Liu, (unknown), Feiran Huang	0
2	Large Language Model Simulator for Cold-Start Recommendation 2025 ·Feiran Huang, (unknown), (unknown), Jing Jiang, (unknown), (unknown), Senzhang Wang, (unknown), Philip S. Yu	14
3	Evidence Retrieval is almost All You Need for Fact Verification 2024 ·(unknown), Chaozhuo Li, Xi Zhang, (unknown), Feiran Huang, Haoran Jia	0
4	Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM 2024 ·(unknown), (unknown), Hao Chen, (unknown), Feiran Huang, Xiao Huang	7
5	TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Peiyan Zhang, (unknown), Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sung Hun Kim	20
6	Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks 2024 ·(unknown), (unknown), (unknown), (unknown), Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang	6
7	Feedback Reciprocal Graph Collaborative Filtering 2024 ·(unknown), (unknown), (unknown), (unknown), Xiao Huang, Feiran Huang	1
8	Macro Graph Neural Networks for Online Billion-Scale Recommender Systems 2024 ·PolyU Institutional Research Archive (Hong Kong Polytechnic University) ·(unknown), (unknown), (unknown), Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang	22
9	Graph Cross-Correlated Network for Recommendation 2024 ·IEEE Transactions on Knowledge and Data Engineering ·Hao Chen, (unknown), Wenbing Huang, (unknown), Feiran Huang, Xiao Huang	19
10	CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent 2024 ·ArXiv.org ·Liangbo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xu Xin, (unknown), Feiran Huang	7
11	GPT4Rec: Graph Prompt Tuning for Streaming Recommendation 2024 ·arXiv (Cornell University) ·Peiyan Zhang, (unknown), Xi Zhang, (unknown), Chaozhuo Li, Feiran Huang, Senzhang Wang, Sung Hun Kim	6
12	Unveiling hierarchical relationships for social image representation learning 2023 ·Applied Soft Computing ·(unknown), Xiaoming Zhang, (unknown), Ming Lu, Feiran Huang, Yun Liu	0
13	Attacks on Acceleration-Based Secure Device Pairing With Automatic Visual Tracking 2023 ·IEEE Transactions on Information Forensics and Security ·(unknown), Yongdong Wu, Jian Weng, Kaimin Wei, Zhiquan Liu, Feiran Huang, Yinyan Zhang	1
14	Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning 2023 ·(unknown), Chaozhuo Li, (unknown), (unknown), Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong	21
15	Aligning Distillation For Cold-start Item Recommendation 2023 ·Feiran Huang, Zefan Wang, Xiao Huang, (unknown), Zhetao Li, (unknown)	66
16	Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction 2023 ·(unknown), (unknown), (unknown), Xiao Huang, Sheng Zhou, Feiran Huang	5
17	PPRU: A Privacy-Preserving Reputation Updating Scheme for Cloud-Assisted Vehicular Networks breakdown → 2023 ·IEEE Transactions on Vehicular Technology ·Zhiquan Liu, (unknown), Jingjing Guo, Feiran Huang, Xia Feng, (unknown), Jianfeng Ma	118
18	ADFL: A Poisoning Attack Defense Framework for Horizontal Federated Learning 2022 ·IEEE Transactions on Industrial Informatics ·Jingjing Guo, (unknown), Feiran Huang, Zhiquan Liu, (unknown), Xinghua Li, Jianfeng Ma, Varun G. Menon, Konstantin Igorevich Kostromitin	33
19	Introduction to the special section on deep learning-based intelligent systems (VSI-dlis) 2021 ·Computers & Electrical Engineering ·Feiran Huang, Shahid Mumtaz	1
20	Robust Multimodal Representation Learning With Evolutionary Adversarial Attention Networks 2021 ·IEEE Transactions on Evolutionary Computation ·Feiran Huang, Alireza Jolfaei, Ali Kashif Bashir	16

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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