Zenglin Xu

10.4k total citations · 3 hit papers
212 papers, 6.4k citations indexed

About

Zenglin Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zenglin Xu has authored 212 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Artificial Intelligence, 96 papers in Computer Vision and Pattern Recognition and 16 papers in Information Systems. Recurrent topics in Zenglin Xu's work include Face and Expression Recognition (51 papers), Domain Adaptation and Few-Shot Learning (33 papers) and Topic Modeling (30 papers). Zenglin Xu is often cited by papers focused on Face and Expression Recognition (51 papers), Domain Adaptation and Few-Shot Learning (33 papers) and Topic Modeling (30 papers). Zenglin Xu collaborates with scholars based in China, United States and Hong Kong. Zenglin Xu's co-authors include Zhao Kang, Irwin King, Shudong Huang, Zixing Song, Xiangli Yang, Michael R. Lyu, Yazhou Ren, Ivor W. Tsang, Shudong Huang and Wenyu Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Molecular Sciences and IEEE Communications Surveys & Tutorials.

In The Last Decade

Zenglin Xu

201 papers receiving 6.3k 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.

A Survey on Deep Semi-Supervised Learning

2022 462 citations Irwin King, Zenglin Xu et al. IEEE Transactions on Knowledge and Data Engineering profile →
Large-Scale Multi-View Subspace Clustering in Linear Time

2020 357 citations Zenglin Xu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
Graph-Based Semi-Supervised Learning: A Comprehensive Review

2022 193 citations Zenglin Xu, Irwin King et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Countries citing papers authored by Zenglin Xu

Since Specialization

Citations

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

Fields of papers citing papers by Zenglin Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zenglin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Zenglin Xu. A scholar is included among the top collaborators of Zenglin Xu 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 Zenglin Xu. Zenglin Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation 2025 ·Neural Networks ·(unknown), Xiangjing Hu, (unknown), Yue Yu, Qifan Wang, Zenglin Xu	3
2	OctOcc: High-Resolution 3D Occupancy Prediction with Octree 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), Bailan Feng, Zenglin Xu	4
3	XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection 2024 ·(unknown), (unknown), (unknown), Chaozheng Wang, Cuiyun Gao, Zenglin Xu	0
4	FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering 2024 ·(unknown), Yifei Zhang, (unknown), Zenglin Xu, Irwin King	2
5	FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling 2024 ·(unknown), Yifei Zhang, (unknown), Zenglin Xu, Irwin King	1
6	Euclidean Distance is Not Your Swiss Army Knife 2024 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv	2
7	A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges 2024 ·ACM Transactions on Intelligent Systems and Technology ·Yifei Zhang, (unknown), (unknown), Xinyu Fu, (unknown), Zenglin Xu, Irwin King	28
8	Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks 2024 ·IEEE Transactions on Vehicular Technology ·(unknown), Zenglin Xu, (unknown), (unknown), Jie Liu	6
9	FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models 2023 ·Monash University Research Portal (Monash University) ·Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu	35
10	Information-Theoretic Generalization Analysis for Topology-Aware Heterogeneous Federated Edge Learning Over Noisy Channels 2023 ·IEEE Signal Processing Letters ·(unknown), Zenglin Xu, Hongfang Yu, Jie Liu	3
11	SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting 2023 ·(unknown), (unknown), Zhe Li, (unknown), Lujia Pan, Zenglin Xu	5
12	SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction 2022 ·Qifan Wang, Yang Li, Jingang Wang, (unknown), Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma	6
13	Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT 2022 ·IEEE Internet of Things Journal ·Zonghang Li, (unknown), Hongfang Yu, Jiawen Kang, Xiaoping Li, Zenglin Xu, Dusit Niyato	100
14	Context-Aware Bidirectional Neural Model for Sindhi Named Entity Recognition 2021 ·Applied Sciences ·(unknown), Jay Kumar, Zenglin Xu, Rajesh Kumar, Yazhou Ren	5
15	Latent Dirichlet allocation based generative adversarial networks 2020 ·Neural Networks ·Lili Pan, (unknown), Jian Liu, Peijun Tang, Bowen Wang, Yazhou Ren, Zenglin Xu	8
16	ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers 2020 ·IEEE Transactions on Services Computing ·Zonghang Li, (unknown), (unknown), Hongfang Yu, Zenglin Xu, Gang Sun	23
17	Manifold regularized matrix completion for multi-label learning with ADMM 2018 ·Neural Networks ·Bin Liu, Yingming Li, Zenglin Xu	29
18	Variational Random Function Model for Network Modeling 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville	7
19	SHREC'16 Track: 3D Sketch-Based 3D Shape Retrieval 2016 ·Murdoch Research Repository (Murdoch University) ·(unknown), Yijuan Lu, Fuqing Duan, (unknown), Yiwei Fan, Lu Qian, Hamid Laga, Haisheng Li, (unknown), Ping-Wing Lui, Maks Ovsjanikov, Hedi Tabia, (unknown), (unknown), Zenglin Xu	8
20	Budget constrained non-monotonic feature selection 2015 ·Neural Networks ·Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King	6

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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