2026 Fuzhen Zhuang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	53	4712	4580	631	627	226	16700

Overview

Fuzhen Zhuang is affiliated with Beihang University in China and has a substantial body of research primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Transportation, and Building and Construction.

Their research topics cover a range of areas with notable focus on:

Recommender Systems and Techniques
Topic Modeling
Advanced Graph Neural Networks
Domain Adaptation and Few-Shot Learning
Sentiment Analysis and Opinion Mining
Text and Document Classification Technologies
Traffic Prediction and Management Techniques

Zhuang has published research extensively in academic venues such as:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Neural Networks
SSRN Electronic Journal
Frontiers of Computer Science

Frequent co-authorship has been with colleagues including:

Deqing Wang
Qing He
Dongbo Xi
Hui Xiong
Zhao Zhang

Among their published papers, key contributions include:

"A Comprehensive Survey on Transfer Learning," 2020, Proceedings of the IEEE
"LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"User-Centric Conversational Recommendation with Multi-Aspect User Modeling," 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
"Real-time measurement of total nitrogen for agricultural runoff based on multiparameter sensors and intelligent algorithms," 2021, Water Research
"Market-oriented job skill valuation with cooperative composition neural network," 2021, Nature Communications

Best Publications

A Comprehensive Survey on Transfer Learning

Fuzhen Zhuang;Zhiyuan Qi;Keyu Duan;Dongbo Xi

5908
Citations
Deep Subdomain Adaptation Network for Image Classification

Yongchun Zhu;Fuzhen Zhuang;Jindong Wang;Guolin Ke

1050
Citations
A Survey on Knowledge Graph-Based Recommender Systems

Qingyu Guo;Fuzhen Zhuang;Chuan Qin;Hengshu Zhu

862
Citations
Graph contextualized self-attention network for session-based recommendation

Chengfeng Xu;Pengpeng Zhao;Yanchi Liu;Victor S. Sheng

582
Citations
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

Pengpeng Zhao;Anjing Luo;Yanchi Liu;Fuzhen Zhuang

387
Citations
Sequential recommender system based on hierarchical attention network

Haochao Ying;Fuzhen Zhuang;Fuzheng Zhang;Yanchi Liu

375
Citations
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

Yongchun Zhu;Fuzhen Zhuang;Deqing Wang

353
Citations
Supervised representation learning: transfer learning with deep autoencoders

Fuzhen Zhuang;Xiaohu Cheng;Ping Luo;Sinno Jialin Pan

312
Citations
Multi-representation adaptation network for cross-domain image classification.

Yongchun Zhu;Fuzhen Zhuang;Jindong Wang;Jingwu Chen

261
Citations
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

Pengpeng Zhao;Haifeng Zhu;Yanchi Liu;Jiajie Xu

252
Citations
PromptBERT: Improving BERT Sentence Embeddings with Prompts

Unknown

202
Citations
Personalized Transfer of User Preferences for Cross-domain Recommendation

Yongchun Zhu;Zhenwei Tang;Yudan Liu;Fuzhen Zhuang

200
Citations
Parallel extreme learning machine for regression based on MapReduce

Qing He;Tianfeng Shang;Fuzhen Zhuang;Zhongzhi Shi

186
Citations
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

Zhao Zhang;Fuzhen Zhuang;Hengshu Zhu;Zhiping Shi

179
Citations
Exploiting associations between word clusters and document classes for cross-domain text categorization

Fuzhen Zhuang;Ping Luo;Hui Xiong;Qing He

137
Citations
Transfer learning from multiple source domains via consensus regularization

Ping Luo;Fuzhen Zhuang;Hui Xiong;Yuhong Xiong

131
Citations
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users

Yongchun Zhu;Kaikai Ge;Fuzhen Zhuang;Ruobing Xie

128
Citations
Learning deep representations via extreme learning machines

Wenchao Yu;Fuzhen Zhuang;Qing He;Zhongzhi Shi

127
Citations
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition

Unknown

124
Citations
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks

Yongchun Zhu;Ruobing Xie;Fuzhen Zhuang;Kaikai Ge

121
Citations
Clustering in extreme learning machine feature space

Qing He;Xin Jin;Changying Du;Fuzhen Zhuang

117
Citations
Energy model for rumor propagation on social networks

Shuo Han;Fuzhen Zhuang;Qing He;Zhongzhi Shi

117
Citations
Representation learning via Dual-Autoencoder for recommendation.

Fuzhen Zhuang;Zhiqiang Zhang;Mingda Qian;Chuan Shi

108
Citations
Parallel implementation of classification algorithms based on MapReduce

Qing He;Fuzhen Zhuang;Jincheng Li;Zhongzhi Shi

86
Citations

Frequent Co-Authors

Qing He University of Chinese Academy of Sciences

Zhongzhi Shi Chinese Academy of Sciences

Hui Xiong Rutgers, The State University of New Jersey

Chuan Shi Beijing University of Posts and Telecommunications

Victor S. Sheng Texas Tech University

Xing Xie Microsoft Research Asia (China)

Philip S. Yu University of Illinois at Chicago

Sinno Jialin Pan Chinese University of Hong Kong

Bin Wu Beijing University of Posts and Telecommunications

Xiaofang Zhou Hong Kong University of Science and Technology

External Links

Personal website of Fuzhen Zhuang Google Scholar page

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