2026 Nicholas Jing Yuan: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Rising Stars	37	754	752	125	124	64	6817
Computer Science	37	10597	10299	4437	4253	64	7225

Research.com Recognitions

2025 - Research.com Rising Stars Award

Overview

Nicholas Jing Yuan is affiliated with Microsoft in the United States. Their research focuses on computer science, with significant contributions in artificial intelligence and computer vision and pattern recognition. Their work also spans related areas including signal processing, management science and operations research, and human-computer interaction.

The scientist has an extensive publication record predominantly in the field of computer science, covering major topics such as:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Data Quality and Management
Advanced Graph Neural Networks
Handwritten Text Recognition Techniques
Generative Adversarial Networks and Image Synthesis

They have published 88 works in total, with many featured in leading venues. Prominent publication outlets include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recent papers exemplify a focus on multimodal data and pattern recognition technologies. These include:

"Multi-Modal Knowledge Graph Construction and Application: A Survey" (2022) published in IEEE Transactions on Knowledge and Data Engineering
"SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Multi-modal Siamese Network for Entity Alignment" (2022) published in the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
"Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition" (2022) published in Findings of the Association for Computational Linguistics: NAACL 2022

The scientist frequently collaborates with peers in their research. Notable frequent co-authors include:

Baoxing Huai
Xiaoye Qu
Zhefeng Wang
Zhicheng Wei
Zhou Zhao

Best Publications

Collaborative Knowledge Base Embedding for Recommender Systems

Fuzheng Zhang;Nicholas Jing Yuan;Defu Lian;Xing Xie

1754
Citations
DRN: A Deep Reinforcement Learning Framework for News Recommendation

Guanjie Zheng;Fuzheng Zhang;Zihan Zheng;Yang Xiang

647
Citations
T-Finder: A Recommender System for Finding Passengers and Vacant Taxis

N. J. Yuan;Yu Zheng;Liuhang Zhang;Xing Xie

540
Citations
Discovering Urban Functional ZonesUsing Latent Activity Trajectories

Nicholas Jing Yuan;Yu Zheng;Xing Xie;Yingzi Wang

506
Citations
Online Discovery of Gathering Patterns over Trajectories

Kai Zheng;Yu Zheng;Nicholas Jing Yuan;Shuo Shang

412
Citations
On discovery of gathering patterns from trajectories

Kai Zheng;Yu Zheng;N. J. Yuan;Shuo Shang

276
Citations
Towards efficient search for activity trajectories

Kai Zheng;Shuo Shang;N. J. Yuan;Yi Yang

204
Citations
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins

Yuan Zhong;Nicholas Jing Yuan;Wen Zhong;Fuzheng Zhang

200
Citations
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data

Yingzi Wang;Nicholas Jing Yuan;Defu Lian;Linli Xu

190
Citations
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

Unknown

154
Citations
We know how you live: exploring the spectrum of urban lifestyles

Nicholas Jing Yuan;Fuzheng Zhang;Defu Lian;Kai Zheng

109
Citations
Beyond the Words: Predicting User Personality from Heterogeneous Information

Honghao Wei;Fuzheng Zhang;Nicholas Jing Yuan;Chuan Cao

106
Citations
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data

Defu Lian;Yong Ge;Fuzheng Zhang;Nicholas Jing Yuan

106
Citations
CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction

Defu Lian;Xing Xie;Vincent W. Zheng;Nicholas Jing Yuan

103
Citations
Approximate keyword search in semantic trajectory database

Bolong Zheng;Nicholas Jing Yuan;Kai Zheng;Xing Xie

103
Citations
An Influence Propagation View of PageRank

Qi Liu;Biao Xiang;Nicholas Jing Yuan;Enhong Chen

92
Citations
Scalable Content-Aware Collaborative Filtering for Location Recommendation

Defu Lian;Yong Ge;Fuzheng Zhang;Nicholas Jing Yuan

88
Citations
Segmentation of Urban Areas Using Road Networks

Nicholas Jing Yuan;Yu Zheng;Xing Xie

83
Citations
BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models

Bin He;Di Zhou;Jinghui Xiao;Xin Jiang

82
Citations
Intelligent bus routing with heterogeneous human mobility patterns

Yanchi Liu;Chuanren Liu;Nicholas Jing Yuan;Lian Duan

81
Citations
Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility

Fuzheng Zhang;Nicholas Jing Yuan;David Wilkie;Yu Zheng

74
Citations
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music

Hongyuan Zhu;Qi Liu;Nicholas Jing Yuan;Chuan Qin

70
Citations

Frequent Co-Authors

Xing Xie Microsoft Research Asia (China)

Defu Lian University of Science and Technology of China

Yu Zheng Jingdong (China)

Enhong Chen University of Science and Technology of China

Yong Rui Lenovo (China)

Hui Xiong Rutgers, The State University of New Jersey

Tao Zhou University of Electronic Science and Technology of China

Xiaofang Zhou Hong Kong University of Science and Technology

Yong Ge University of Arizona

Rui Zhang National University of Singapore

External Links

Personal website of Nicholas Jing Yuan Google Scholar page

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